WO2022053913A1 - Non-invasive analyte sensor and automated response systems and methods - Google Patents
Non-invasive analyte sensor and automated response systems and methods Download PDFInfo
- Publication number
- WO2022053913A1 WO2022053913A1 PCT/IB2021/057989 IB2021057989W WO2022053913A1 WO 2022053913 A1 WO2022053913 A1 WO 2022053913A1 IB 2021057989 W IB2021057989 W IB 2021057989W WO 2022053913 A1 WO2022053913 A1 WO 2022053913A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- analyte
- sensor
- medium
- antenna
- transmit
- Prior art date
Links
- 239000012491 analyte Substances 0.000 title claims abstract description 203
- 230000004044 response Effects 0.000 title claims abstract description 58
- 238000000034 method Methods 0.000 title claims abstract description 55
- 230000009471 action Effects 0.000 claims abstract description 97
- NOESYZHRGYRDHS-UHFFFAOYSA-N insulin Chemical compound N1C(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(NC(=O)CN)C(C)CC)CSSCC(C(NC(CO)C(=O)NC(CC(C)C)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CCC(N)=O)C(=O)NC(CC(C)C)C(=O)NC(CCC(O)=O)C(=O)NC(CC(N)=O)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CSSCC(NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2C=CC(O)=CC=2)NC(=O)C(CC(C)C)NC(=O)C(C)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2NC=NC=2)NC(=O)C(CO)NC(=O)CNC2=O)C(=O)NCC(=O)NC(CCC(O)=O)C(=O)NC(CCCNC(N)=N)C(=O)NCC(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC(O)=CC=3)C(=O)NC(C(C)O)C(=O)N3C(CCC3)C(=O)NC(CCCCN)C(=O)NC(C)C(O)=O)C(=O)NC(CC(N)=O)C(O)=O)=O)NC(=O)C(C(C)CC)NC(=O)C(CO)NC(=O)C(C(C)O)NC(=O)C1CSSCC2NC(=O)C(CC(C)C)NC(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CC(N)=O)NC(=O)C(NC(=O)C(N)CC=1C=CC=CC=1)C(C)C)CC1=CN=CN1 NOESYZHRGYRDHS-UHFFFAOYSA-N 0.000 claims abstract description 94
- 102000004877 Insulin Human genes 0.000 claims abstract description 47
- 108090001061 Insulin Proteins 0.000 claims abstract description 47
- 229940125396 insulin Drugs 0.000 claims abstract description 47
- 238000001514 detection method Methods 0.000 claims abstract description 33
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims abstract description 28
- 239000008103 glucose Substances 0.000 claims abstract description 28
- 230000003247 decreasing effect Effects 0.000 claims abstract description 18
- 239000000126 substance Substances 0.000 claims description 19
- 238000010438 heat treatment Methods 0.000 claims description 14
- 238000001816 cooling Methods 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 12
- 238000001228 spectrum Methods 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 9
- 210000003722 extracellular fluid Anatomy 0.000 claims description 4
- 150000001875 compounds Chemical class 0.000 abstract description 9
- 125000002791 glucosyl group Chemical group C1([C@H](O)[C@@H](O)[C@H](O)[C@H](O1)CO)* 0.000 abstract description 4
- 239000000463 material Substances 0.000 description 24
- 210000004369 blood Anatomy 0.000 description 20
- 239000008280 blood Substances 0.000 description 20
- 210000001519 tissue Anatomy 0.000 description 17
- 239000012530 fluid Substances 0.000 description 16
- 239000000758 substrate Substances 0.000 description 15
- 241001465754 Metazoa Species 0.000 description 14
- 238000003491 array Methods 0.000 description 9
- 239000004020 conductor Substances 0.000 description 9
- 238000004458 analytical method Methods 0.000 description 8
- 230000008859 change Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 7
- 238000012545 processing Methods 0.000 description 7
- 230000008878 coupling Effects 0.000 description 6
- 238000010168 coupling process Methods 0.000 description 6
- 238000005859 coupling reaction Methods 0.000 description 6
- 241000196324 Embryophyta Species 0.000 description 5
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 5
- ZPUCINDJVBIVPJ-LJISPDSOSA-N cocaine Chemical compound O([C@H]1C[C@@H]2CC[C@@H](N2C)[C@H]1C(=O)OC)C(=O)C1=CC=CC=C1 ZPUCINDJVBIVPJ-LJISPDSOSA-N 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 102000004169 proteins and genes Human genes 0.000 description 5
- 108090000623 proteins and genes Proteins 0.000 description 5
- 239000002689 soil Substances 0.000 description 5
- CFFZDZCDUFSOFZ-UHFFFAOYSA-N 3,4-Dihydroxy-phenylacetic acid Chemical compound OC(=O)CC1=CC=C(O)C(O)=C1 CFFZDZCDUFSOFZ-UHFFFAOYSA-N 0.000 description 4
- -1 PreState Chemical compound 0.000 description 4
- 238000010521 absorption reaction Methods 0.000 description 4
- 238000007792 addition Methods 0.000 description 4
- 229940079593 drug Drugs 0.000 description 4
- 239000003814 drug Substances 0.000 description 4
- 210000003743 erythrocyte Anatomy 0.000 description 4
- QRMZSPFSDQBLIX-UHFFFAOYSA-N homovanillic acid Chemical compound COC1=CC(CC(O)=O)=CC=C1O QRMZSPFSDQBLIX-UHFFFAOYSA-N 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 239000007769 metal material Substances 0.000 description 4
- 239000011541 reaction mixture Substances 0.000 description 4
- QZAYGJVTTNCVMB-UHFFFAOYSA-N serotonin Chemical compound C1=C(O)C=C2C(CCN)=CNC2=C1 QZAYGJVTTNCVMB-UHFFFAOYSA-N 0.000 description 4
- XUIIKFGFIJCVMT-GFCCVEGCSA-N D-thyroxine Chemical compound IC1=CC(C[C@@H](N)C(O)=O)=CC(I)=C1OC1=CC(I)=C(O)C(I)=C1 XUIIKFGFIJCVMT-GFCCVEGCSA-N 0.000 description 3
- 241000700721 Hepatitis B virus Species 0.000 description 3
- 241000713772 Human immunodeficiency virus 1 Species 0.000 description 3
- 229910019142 PO4 Inorganic materials 0.000 description 3
- 241000700605 Viruses Species 0.000 description 3
- 239000000356 contaminant Substances 0.000 description 3
- RWSXRVCMGQZWBV-WDSKDSINSA-N glutathione Chemical compound OC(=O)[C@@H](N)CCC(=O)N[C@@H](CS)C(=O)NCC(O)=O RWSXRVCMGQZWBV-WDSKDSINSA-N 0.000 description 3
- 238000001990 intravenous administration Methods 0.000 description 3
- 210000000265 leukocyte Anatomy 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 239000010452 phosphate Substances 0.000 description 3
- 238000012306 spectroscopic technique Methods 0.000 description 3
- XUIIKFGFIJCVMT-UHFFFAOYSA-N thyroxine-binding globulin Natural products IC1=CC(CC([NH3+])C([O-])=O)=CC(I)=C1OC1=CC(I)=C(O)C(I)=C1 XUIIKFGFIJCVMT-UHFFFAOYSA-N 0.000 description 3
- HZCBWYNLGPIQRK-LBPRGKRZSA-N 3,3',5'-triiodo-L-thyronine Chemical compound IC1=CC(C[C@H]([NH3+])C([O-])=O)=CC=C1OC1=CC(I)=C(O)C(I)=C1 HZCBWYNLGPIQRK-LBPRGKRZSA-N 0.000 description 2
- DIVQKHQLANKJQO-UHFFFAOYSA-N 3-methoxytyramine Chemical compound COC1=CC(CCN)=CC=C1O DIVQKHQLANKJQO-UHFFFAOYSA-N 0.000 description 2
- DUUGKQCEGZLZNO-UHFFFAOYSA-N 5-hydroxyindoleacetic acid Chemical compound C1=C(O)C=C2C(CC(=O)O)=CNC2=C1 DUUGKQCEGZLZNO-UHFFFAOYSA-N 0.000 description 2
- 102000004452 Arginase Human genes 0.000 description 2
- 108700024123 Arginases Proteins 0.000 description 2
- CIWBSHSKHKDKBQ-JLAZNSOCSA-N Ascorbic acid Chemical compound OC[C@H](O)[C@H]1OC(=O)C(O)=C1O CIWBSHSKHKDKBQ-JLAZNSOCSA-N 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 2
- 235000012766 Cannabis sativa ssp. sativa var. sativa Nutrition 0.000 description 2
- 235000012765 Cannabis sativa ssp. sativa var. spontanea Nutrition 0.000 description 2
- 102000004420 Creatine Kinase Human genes 0.000 description 2
- 108010042126 Creatine kinase Proteins 0.000 description 2
- 101710088194 Dehydrogenase Proteins 0.000 description 2
- 206010013801 Duchenne Muscular Dystrophy Diseases 0.000 description 2
- 102000009151 Luteinizing Hormone Human genes 0.000 description 2
- 108010073521 Luteinizing Hormone Proteins 0.000 description 2
- XADCESSVHJOZHK-UHFFFAOYSA-N Meperidine Chemical compound C=1C=CC=CC=1C1(C(=O)OCC)CCN(C)CC1 XADCESSVHJOZHK-UHFFFAOYSA-N 0.000 description 2
- NPPQSCRMBWNHMW-UHFFFAOYSA-N Meprobamate Chemical compound NC(=O)OCC(C)(CCC)COC(N)=O NPPQSCRMBWNHMW-UHFFFAOYSA-N 0.000 description 2
- GQPLMRYTRLFLPF-UHFFFAOYSA-N Nitrous Oxide Chemical compound [O-][N+]#N GQPLMRYTRLFLPF-UHFFFAOYSA-N 0.000 description 2
- BRUQQQPBMZOVGD-XFKAJCMBSA-N Oxycodone Chemical compound O=C([C@@H]1O2)CC[C@@]3(O)[C@H]4CC5=CC=C(OC)C2=C5[C@@]13CCN4C BRUQQQPBMZOVGD-XFKAJCMBSA-N 0.000 description 2
- RJKFOVLPORLFTN-LEKSSAKUSA-N Progesterone Chemical compound C1CC2=CC(=O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H](C(=O)C)[C@@]1(C)CC2 RJKFOVLPORLFTN-LEKSSAKUSA-N 0.000 description 2
- LOUPRKONTZGTKE-WZBLMQSHSA-N Quinine Chemical compound C([C@H]([C@H](C1)C=C)C2)C[N@@]1[C@@H]2[C@H](O)C1=CC=NC2=CC=C(OC)C=C21 LOUPRKONTZGTKE-WZBLMQSHSA-N 0.000 description 2
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 description 2
- 239000000654 additive Substances 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 2
- 210000001175 cerebrospinal fluid Anatomy 0.000 description 2
- HVYWMOMLDIMFJA-DPAQBDIFSA-N cholesterol Chemical compound C1C=C2C[C@@H](O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@H]([C@H](C)CCCC(C)C)[C@@]1(C)CC2 HVYWMOMLDIMFJA-DPAQBDIFSA-N 0.000 description 2
- 229960003920 cocaine Drugs 0.000 description 2
- OROGSEYTTFOCAN-DNJOTXNNSA-N codeine Chemical compound C([C@H]1[C@H](N(CC[C@@]112)C)C3)=C[C@H](O)[C@@H]1OC1=C2C3=CC=C1OC OROGSEYTTFOCAN-DNJOTXNNSA-N 0.000 description 2
- VYFYYTLLBUKUHU-UHFFFAOYSA-N dopamine Chemical compound NCCC1=CC=C(O)C(O)=C1 VYFYYTLLBUKUHU-UHFFFAOYSA-N 0.000 description 2
- 229960002428 fentanyl Drugs 0.000 description 2
- PJMPHNIQZUBGLI-UHFFFAOYSA-N fentanyl Chemical compound C=1C=CC=CC=1N(C(=O)CC)C(CC1)CCN1CCC1=CC=CC=C1 PJMPHNIQZUBGLI-UHFFFAOYSA-N 0.000 description 2
- JYGXADMDTFJGBT-VWUMJDOOSA-N hydrocortisone Chemical compound O=C1CC[C@]2(C)[C@H]3[C@@H](O)C[C@](C)([C@@](CC4)(O)C(=O)CO)[C@@H]4[C@@H]3CCC2=C1 JYGXADMDTFJGBT-VWUMJDOOSA-N 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 229940040129 luteinizing hormone Drugs 0.000 description 2
- 210000004880 lymph fluid Anatomy 0.000 description 2
- RHCSKNNOAZULRK-UHFFFAOYSA-N mescaline Chemical compound COC1=CC(CCN)=CC(OC)=C1OC RHCSKNNOAZULRK-UHFFFAOYSA-N 0.000 description 2
- 229910052751 metal Inorganic materials 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 150000002739 metals Chemical class 0.000 description 2
- 238000002156 mixing Methods 0.000 description 2
- BQJCRHHNABKAKU-KBQPJGBKSA-N morphine Chemical compound O([C@H]1[C@H](C=C[C@H]23)O)C4=C5[C@@]12CCN(C)[C@@H]3CC5=CC=C4O BQJCRHHNABKAKU-KBQPJGBKSA-N 0.000 description 2
- 229960000482 pethidine Drugs 0.000 description 2
- 239000008194 pharmaceutical composition Substances 0.000 description 2
- JTJMJGYZQZDUJJ-UHFFFAOYSA-N phencyclidine Chemical compound C1CCCCN1C1(C=2C=CC=CC=2)CCCCC1 JTJMJGYZQZDUJJ-UHFFFAOYSA-N 0.000 description 2
- 229950010883 phencyclidine Drugs 0.000 description 2
- PAHGJZDQXIOYTH-UHFFFAOYSA-N pristanic acid Chemical compound CC(C)CCCC(C)CCCC(C)CCCC(C)C(O)=O PAHGJZDQXIOYTH-UHFFFAOYSA-N 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- ZFXYFBGIUFBOJW-UHFFFAOYSA-N theophylline Chemical compound O=C1N(C)C(=O)N(C)C2=C1NC=N2 ZFXYFBGIUFBOJW-UHFFFAOYSA-N 0.000 description 2
- 229940034208 thyroxine Drugs 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 210000002700 urine Anatomy 0.000 description 2
- XEEQGYMUWCZPDN-DOMZBBRYSA-N (-)-(11S,2'R)-erythro-mefloquine Chemical compound C([C@@H]1[C@@H](O)C=2C3=CC=CC(=C3N=C(C=2)C(F)(F)F)C(F)(F)F)CCCN1 XEEQGYMUWCZPDN-DOMZBBRYSA-N 0.000 description 1
- SNICXCGAKADSCV-JTQLQIEISA-N (-)-Nicotine Chemical compound CN1CCC[C@H]1C1=CC=CN=C1 SNICXCGAKADSCV-JTQLQIEISA-N 0.000 description 1
- SFLSHLFXELFNJZ-QMMMGPOBSA-N (-)-norepinephrine Chemical compound NC[C@H](O)C1=CC=C(O)C(O)=C1 SFLSHLFXELFNJZ-QMMMGPOBSA-N 0.000 description 1
- CIKNYWFPGZCHDL-ZHFUJENKSA-N (2r,3r,4r,5r)-2-[(1s,2s,3r,4s,6r)-4,6-diamino-3-[[(2s,3r)-3-amino-6-(aminomethyl)-3,4-dihydro-2h-pyran-2-yl]oxy]-2-hydroxycyclohexyl]oxy-5-methyl-4-(methylamino)oxane-3,5-diol;sulfuric acid Chemical compound OS(O)(=O)=O.OS(O)(=O)=O.OS(O)(=O)=O.OS(O)(=O)=O.OS(O)(=O)=O.O1C[C@@](O)(C)[C@H](NC)[C@@H](O)[C@H]1O[C@@H]1[C@@H](O)[C@H](O[C@@H]2[C@@H](CC=C(CN)O2)N)[C@@H](N)C[C@H]1N.O1C[C@@](O)(C)[C@H](NC)[C@@H](O)[C@H]1O[C@@H]1[C@@H](O)[C@H](O[C@@H]2[C@@H](CC=C(CN)O2)N)[C@@H](N)C[C@H]1N CIKNYWFPGZCHDL-ZHFUJENKSA-N 0.000 description 1
- RLCKHJSFHOZMDR-UHFFFAOYSA-N (3R, 7R, 11R)-1-Phytanoid acid Natural products CC(C)CCCC(C)CCCC(C)CCCC(C)CC(O)=O RLCKHJSFHOZMDR-UHFFFAOYSA-N 0.000 description 1
- RUDATBOHQWOJDD-UHFFFAOYSA-N (3beta,5beta,7alpha)-3,7-Dihydroxycholan-24-oic acid Natural products OC1CC2CC(O)CCC2(C)C2C1C1CCC(C(CCC(O)=O)C)C1(C)CC2 RUDATBOHQWOJDD-UHFFFAOYSA-N 0.000 description 1
- UUEZOEBHFHYMGR-RNWHKREASA-N (4r,4ar,7ar,12bs)-9-methoxy-3-methyl-1,2,4,4a,5,6,7a,13-octahydro-4,12-methanobenzofuro[3,2-e]isoquinoline-7-one;3-(4-chlorophenyl)-n,n-dimethyl-3-pyridin-2-ylpropan-1-amine Chemical compound C=1C=CC=NC=1C(CCN(C)C)C1=CC=C(Cl)C=C1.C([C@H]1[C@H](N(CC[C@@]112)C)C3)CC(=O)[C@@H]1OC1=C2C3=CC=C1OC UUEZOEBHFHYMGR-RNWHKREASA-N 0.000 description 1
- PHIQHXFUZVPYII-ZCFIWIBFSA-O (R)-carnitinium Chemical compound C[N+](C)(C)C[C@H](O)CC(O)=O PHIQHXFUZVPYII-ZCFIWIBFSA-O 0.000 description 1
- WHTVZRBIWZFKQO-AWEZNQCLSA-N (S)-chloroquine Chemical compound ClC1=CC=C2C(N[C@@H](C)CCCN(CC)CC)=CC=NC2=C1 WHTVZRBIWZFKQO-AWEZNQCLSA-N 0.000 description 1
- QNJJECIHYZJXRL-UHFFFAOYSA-N 1-(2-chlorophenyl)-2-methylpropan-2-amine;hydrochloride Chemical compound Cl.CC(C)(N)CC1=CC=CC=C1Cl QNJJECIHYZJXRL-UHFFFAOYSA-N 0.000 description 1
- FPIPGXGPPPQFEQ-UHFFFAOYSA-N 13-cis retinol Natural products OCC=C(C)C=CC=C(C)C=CC1=C(C)CCCC1(C)C FPIPGXGPPPQFEQ-UHFFFAOYSA-N 0.000 description 1
- QNLDTXPVZPRSAM-UHFFFAOYSA-N 17146-95-1 Chemical compound CC(O)C(O)=O.C1C2=CC=C(O)C=C2C2(C)C(C)C1N(CC=C(C)C)CC2 QNLDTXPVZPRSAM-UHFFFAOYSA-N 0.000 description 1
- DBPWSSGDRRHUNT-UHFFFAOYSA-N 17alpha-hydroxy progesterone Natural products C1CC2=CC(=O)CCC2(C)C2C1C1CCC(C(=O)C)(O)C1(C)CC2 DBPWSSGDRRHUNT-UHFFFAOYSA-N 0.000 description 1
- VEPOHXYIFQMVHW-XOZOLZJESA-N 2,3-dihydroxybutanedioic acid (2S,3S)-3,4-dimethyl-2-phenylmorpholine Chemical compound OC(C(O)C(O)=O)C(O)=O.C[C@H]1[C@@H](OCCN1C)c1ccccc1 VEPOHXYIFQMVHW-XOZOLZJESA-N 0.000 description 1
- LCZBQMKVFQNSJR-UJPCIWJBSA-N 21-deoxycortisol Chemical compound C1CC2=CC(=O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@@](C(=O)C)(O)[C@@]1(C)C[C@@H]2O LCZBQMKVFQNSJR-UJPCIWJBSA-N 0.000 description 1
- SHXWCVYOXRDMCX-UHFFFAOYSA-N 3,4-methylenedioxymethamphetamine Chemical compound CNC(C)CC1=CC=C2OCOC2=C1 SHXWCVYOXRDMCX-UHFFFAOYSA-N 0.000 description 1
- RLCKHJSFHOZMDR-PWCSWUJKSA-N 3,7R,11R,15-tetramethyl-hexadecanoic acid Chemical compound CC(C)CCC[C@@H](C)CCC[C@@H](C)CCCC(C)CC(O)=O RLCKHJSFHOZMDR-PWCSWUJKSA-N 0.000 description 1
- WYEPBHZLDUPIOD-UHFFFAOYSA-N 4,6-dioxoheptanoic acid Chemical compound CC(=O)CC(=O)CCC(O)=O WYEPBHZLDUPIOD-UHFFFAOYSA-N 0.000 description 1
- 101710169336 5'-deoxyadenosine deaminase Proteins 0.000 description 1
- RVWZUOPFHTYIEO-UHFFFAOYSA-N 5-hydroxyindoleacetic acid Natural products C1=C(O)C=C2C(C(=O)O)=CNC2=C1 RVWZUOPFHTYIEO-UHFFFAOYSA-N 0.000 description 1
- 239000003310 5-hydroxyindoleacetic acid Substances 0.000 description 1
- 108010024223 Adenine phosphoribosyltransferase Proteins 0.000 description 1
- 102100029457 Adenine phosphoribosyltransferase Human genes 0.000 description 1
- 102100036664 Adenosine deaminase Human genes 0.000 description 1
- 108010088751 Albumins Proteins 0.000 description 1
- 102000009027 Albumins Human genes 0.000 description 1
- 102000007698 Alcohol dehydrogenase Human genes 0.000 description 1
- 108010021809 Alcohol dehydrogenase Proteins 0.000 description 1
- RLFWWDJHLFCNIJ-UHFFFAOYSA-N Aminoantipyrine Natural products CN1C(C)=C(N)C(=O)N1C1=CC=CC=C1 RLFWWDJHLFCNIJ-UHFFFAOYSA-N 0.000 description 1
- 239000004475 Arginine Substances 0.000 description 1
- 208000012657 Atopic disease Diseases 0.000 description 1
- 201000006935 Becker muscular dystrophy Diseases 0.000 description 1
- KZFBHCCLJSAHBQ-UHFFFAOYSA-N Benzoylecgonine Natural products CN1C2CCC1C(C(C2)OC(=C)c3ccccc3)C(=O)O KZFBHCCLJSAHBQ-UHFFFAOYSA-N 0.000 description 1
- 108010039206 Biotinidase Proteins 0.000 description 1
- 102100026044 Biotinidase Human genes 0.000 description 1
- JQJPBYFTQAANLE-UHFFFAOYSA-N Butyl nitrite Chemical compound CCCCON=O JQJPBYFTQAANLE-UHFFFAOYSA-N 0.000 description 1
- 108010074051 C-Reactive Protein Proteins 0.000 description 1
- 102100032752 C-reactive protein Human genes 0.000 description 1
- KSFOVUSSGSKXFI-GAQDCDSVSA-N CC1=C/2NC(\C=C3/N=C(/C=C4\N\C(=C/C5=N/C(=C\2)/C(C=C)=C5C)C(C=C)=C4C)C(C)=C3CCC(O)=O)=C1CCC(O)=O Chemical compound CC1=C/2NC(\C=C3/N=C(/C=C4\N\C(=C/C5=N/C(=C\2)/C(C=C)=C5C)C(C=C)=C4C)C(C)=C3CCC(O)=O)=C1CCC(O)=O KSFOVUSSGSKXFI-GAQDCDSVSA-N 0.000 description 1
- 108010033547 Carbonic Anhydrase I Proteins 0.000 description 1
- 102100025518 Carbonic anhydrase 1 Human genes 0.000 description 1
- 108010075016 Ceruloplasmin Proteins 0.000 description 1
- 102100023321 Ceruloplasmin Human genes 0.000 description 1
- 239000004380 Cholic acid Substances 0.000 description 1
- 102000003914 Cholinesterases Human genes 0.000 description 1
- 108090000322 Cholinesterases Proteins 0.000 description 1
- 235000001258 Cinchona calisaya Nutrition 0.000 description 1
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 229930105110 Cyclosporin A Natural products 0.000 description 1
- PMATZTZNYRCHOR-CGLBZJNRSA-N Cyclosporin A Chemical compound CC[C@@H]1NC(=O)[C@H]([C@H](O)[C@H](C)C\C=C\C)N(C)C(=O)[C@H](C(C)C)N(C)C(=O)[C@H](CC(C)C)N(C)C(=O)[C@H](CC(C)C)N(C)C(=O)[C@@H](C)NC(=O)[C@H](C)NC(=O)[C@H](CC(C)C)N(C)C(=O)[C@H](C(C)C)NC(=O)[C@H](CC(C)C)N(C)C(=O)CN(C)C1=O PMATZTZNYRCHOR-CGLBZJNRSA-N 0.000 description 1
- 108010036949 Cyclosporine Proteins 0.000 description 1
- 201000003808 Cystic echinococcosis Diseases 0.000 description 1
- 201000003883 Cystic fibrosis Diseases 0.000 description 1
- 108010071840 Cytosol nonspecific dipeptidase Proteins 0.000 description 1
- HEBKCHPVOIAQTA-QWWZWVQMSA-N D-arabinitol Chemical class OC[C@@H](O)C(O)[C@H](O)CO HEBKCHPVOIAQTA-QWWZWVQMSA-N 0.000 description 1
- LHQIJBMDNUYRAM-AWFVSMACSA-N D-erythro-biopterin Chemical compound N1=C(N)NC(=O)C2=NC([C@H](O)[C@H](O)C)=CN=C21 LHQIJBMDNUYRAM-AWFVSMACSA-N 0.000 description 1
- VVNCNSJFMMFHPL-VKHMYHEASA-N D-penicillamine Chemical compound CC(C)(S)[C@@H](N)C(O)=O VVNCNSJFMMFHPL-VKHMYHEASA-N 0.000 description 1
- 241000725619 Dengue virus Species 0.000 description 1
- 108010028196 Dihydropteridine Reductase Proteins 0.000 description 1
- 102100022317 Dihydropteridine reductase Human genes 0.000 description 1
- 241001319090 Dracunculus medinensis Species 0.000 description 1
- 241000244170 Echinococcus granulosus Species 0.000 description 1
- 241000224432 Entamoeba histolytica Species 0.000 description 1
- 241000709661 Enterovirus Species 0.000 description 1
- 241000991587 Enterovirus C Species 0.000 description 1
- 102100029115 Fumarylacetoacetase Human genes 0.000 description 1
- CEAZRRDELHUEMR-URQXQFDESA-N Gentamicin Chemical compound O1[C@H](C(C)NC)CC[C@@H](N)[C@H]1O[C@H]1[C@H](O)[C@@H](O[C@@H]2[C@@H]([C@@H](NC)[C@@](C)(O)CO2)O)[C@H](N)C[C@@H]1N CEAZRRDELHUEMR-URQXQFDESA-N 0.000 description 1
- 229930182566 Gentamicin Natural products 0.000 description 1
- 241000224466 Giardia Species 0.000 description 1
- 108010024636 Glutathione Proteins 0.000 description 1
- 102000017011 Glycated Hemoglobin A Human genes 0.000 description 1
- 108010014663 Glycated Hemoglobin A Proteins 0.000 description 1
- 108010007979 Glycocholic Acid Proteins 0.000 description 1
- FOHHNHSLJDZUGQ-VWLOTQADSA-N Halofantrine Chemical compound FC(F)(F)C1=CC=C2C([C@@H](O)CCN(CCCC)CCCC)=CC3=C(Cl)C=C(Cl)C=C3C2=C1 FOHHNHSLJDZUGQ-VWLOTQADSA-N 0.000 description 1
- 239000004866 Hashish Substances 0.000 description 1
- 241000590002 Helicobacter pylori Species 0.000 description 1
- 108010085682 Hemoglobin A Proteins 0.000 description 1
- 102000007513 Hemoglobin A Human genes 0.000 description 1
- 108010085686 Hemoglobin C Proteins 0.000 description 1
- 108010068323 Hemoglobin E Proteins 0.000 description 1
- 108091005880 Hemoglobin F Proteins 0.000 description 1
- 108010054147 Hemoglobins Proteins 0.000 description 1
- 102000001554 Hemoglobins Human genes 0.000 description 1
- 208000032087 Hereditary Leber Optic Atrophy Diseases 0.000 description 1
- GVGLGOZIDCSQPN-PVHGPHFFSA-N Heroin Chemical compound O([C@H]1[C@H](C=C[C@H]23)OC(C)=O)C4=C5[C@@]12CCN(C)[C@@H]3CC5=CC=C4OC(C)=O GVGLGOZIDCSQPN-PVHGPHFFSA-N 0.000 description 1
- 102000016871 Hexosaminidase A Human genes 0.000 description 1
- 108010053317 Hexosaminidase A Proteins 0.000 description 1
- 241000714260 Human T-lymphotropic virus 1 Species 0.000 description 1
- 241000701024 Human betaherpesvirus 5 Species 0.000 description 1
- 108010056651 Hydroxymethylbilane synthase Proteins 0.000 description 1
- DOMWKUIIPQCAJU-LJHIYBGHSA-N Hydroxyprogesterone caproate Chemical compound C1CC2=CC(=O)CC[C@]2(C)[C@@H]2[C@@H]1[C@@H]1CC[C@@](C(C)=O)(OC(=O)CCCCC)[C@@]1(C)CC2 DOMWKUIIPQCAJU-LJHIYBGHSA-N 0.000 description 1
- 108010091358 Hypoxanthine Phosphoribosyltransferase Proteins 0.000 description 1
- 102000018251 Hypoxanthine Phosphoribosyltransferase Human genes 0.000 description 1
- 108090000723 Insulin-Like Growth Factor I Proteins 0.000 description 1
- 102100037852 Insulin-like growth factor I Human genes 0.000 description 1
- 108010044467 Isoenzymes Proteins 0.000 description 1
- ZAGRKAFMISFKIO-UHFFFAOYSA-N Isolysergic acid Natural products C1=CC(C2=CC(CN(C2C2)C)C(O)=O)=C3C2=CNC3=C1 ZAGRKAFMISFKIO-UHFFFAOYSA-N 0.000 description 1
- LHQIJBMDNUYRAM-UHFFFAOYSA-N L-erythro-Biopterin Natural products N1=C(N)NC(=O)C2=NC(C(O)C(O)C)=CN=C21 LHQIJBMDNUYRAM-UHFFFAOYSA-N 0.000 description 1
- FFFHZYDWPBMWHY-VKHMYHEASA-N L-homocysteine Chemical compound OC(=O)[C@@H](N)CCS FFFHZYDWPBMWHY-VKHMYHEASA-N 0.000 description 1
- COLNVLDHVKWLRT-QMMMGPOBSA-N L-phenylalanine Chemical compound OC(=O)[C@@H](N)CC1=CC=CC=C1 COLNVLDHVKWLRT-QMMMGPOBSA-N 0.000 description 1
- QIVBCDIJIAJPQS-VIFPVBQESA-N L-tryptophane Chemical compound C1=CC=C2C(C[C@H](N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-VIFPVBQESA-N 0.000 description 1
- OUYCCCASQSFEME-QMMMGPOBSA-N L-tyrosine Chemical compound OC(=O)[C@@H](N)CC1=CC=C(O)C=C1 OUYCCCASQSFEME-QMMMGPOBSA-N 0.000 description 1
- JVTAAEKCZFNVCJ-UHFFFAOYSA-M Lactate Chemical compound CC(O)C([O-])=O JVTAAEKCZFNVCJ-UHFFFAOYSA-M 0.000 description 1
- 201000000639 Leber hereditary optic neuropathy Diseases 0.000 description 1
- 241000222727 Leishmania donovani Species 0.000 description 1
- 241000589902 Leptospira Species 0.000 description 1
- 102000004895 Lipoproteins Human genes 0.000 description 1
- 108090001030 Lipoproteins Proteins 0.000 description 1
- 241000883511 Lophophora williamsii Species 0.000 description 1
- 201000005505 Measles Diseases 0.000 description 1
- JEYCTXHKTXCGPB-UHFFFAOYSA-N Methaqualone Chemical compound CC1=CC=CC=C1N1C(=O)C2=CC=CC=C2N=C1C JEYCTXHKTXCGPB-UHFFFAOYSA-N 0.000 description 1
- 208000005647 Mumps Diseases 0.000 description 1
- 102000016943 Muramidase Human genes 0.000 description 1
- 108010014251 Muramidase Proteins 0.000 description 1
- 241000186362 Mycobacterium leprae Species 0.000 description 1
- 241000202934 Mycoplasma pneumoniae Species 0.000 description 1
- 102100030856 Myoglobin Human genes 0.000 description 1
- 108010062374 Myoglobin Proteins 0.000 description 1
- 108010062010 N-Acetylmuramoyl-L-alanine Amidase Proteins 0.000 description 1
- RFDAIACWWDREDC-UHFFFAOYSA-N Na salt-Glycocholic acid Natural products OC1CC2CC(O)CCC2(C)C2C1C1CCC(C(CCC(=O)NCC(O)=O)C)C1(C)C(O)C2 RFDAIACWWDREDC-UHFFFAOYSA-N 0.000 description 1
- 241000243985 Onchocerca volvulus Species 0.000 description 1
- 239000008896 Opium Substances 0.000 description 1
- 102000019280 Pancreatic lipases Human genes 0.000 description 1
- 108050006759 Pancreatic lipases Proteins 0.000 description 1
- 208000002606 Paramyxoviridae Infections Diseases 0.000 description 1
- CXOFVDLJLONNDW-UHFFFAOYSA-N Phenytoin Chemical compound N1C(=O)NC(=O)C1(C=1C=CC=CC=1)C1=CC=CC=C1 CXOFVDLJLONNDW-UHFFFAOYSA-N 0.000 description 1
- 241000223960 Plasmodium falciparum Species 0.000 description 1
- 241000223810 Plasmodium vivax Species 0.000 description 1
- 102100034391 Porphobilinogen deaminase Human genes 0.000 description 1
- CZWCKYRVOZZJNM-UHFFFAOYSA-N Prasterone sodium sulfate Natural products C1C(OS(O)(=O)=O)CCC2(C)C3CCC(C)(C(CC4)=O)C4C3CC=C21 CZWCKYRVOZZJNM-UHFFFAOYSA-N 0.000 description 1
- 101710101148 Probable 6-oxopurine nucleoside phosphorylase Proteins 0.000 description 1
- 102000003946 Prolactin Human genes 0.000 description 1
- 108010057464 Prolactin Proteins 0.000 description 1
- 241000589517 Pseudomonas aeruginosa Species 0.000 description 1
- QVDSEJDULKLHCG-UHFFFAOYSA-N Psilocybine Natural products C1=CC(OP(O)(O)=O)=C2C(CCN(C)C)=CNC2=C1 QVDSEJDULKLHCG-UHFFFAOYSA-N 0.000 description 1
- 102000030764 Purine-nucleoside phosphorylase Human genes 0.000 description 1
- 241000725643 Respiratory syncytial virus Species 0.000 description 1
- 241000606701 Rickettsia Species 0.000 description 1
- MEFKEPWMEQBLKI-AIRLBKTGSA-O S-adenosyl-L-methionine Chemical compound O[C@@H]1[C@H](O)[C@@H](C[S+](CC[C@H]([NH3+])C([O-])=O)C)O[C@H]1N1C2=NC=NC(N)=C2N=C1 MEFKEPWMEQBLKI-AIRLBKTGSA-O 0.000 description 1
- 241000242680 Schistosoma mansoni Species 0.000 description 1
- BUGBHKTXTAQXES-UHFFFAOYSA-N Selenium Chemical compound [Se] BUGBHKTXTAQXES-UHFFFAOYSA-N 0.000 description 1
- 108010016797 Sickle Hemoglobin Proteins 0.000 description 1
- 241000701093 Suid alphaherpesvirus 1 Species 0.000 description 1
- PJSFRIWCGOHTNF-UHFFFAOYSA-N Sulphormetoxin Chemical compound COC1=NC=NC(NS(=O)(=O)C=2C=CC(N)=CC=2)=C1OC PJSFRIWCGOHTNF-UHFFFAOYSA-N 0.000 description 1
- CYQFCXCEBYINGO-UHFFFAOYSA-N THC Natural products C1=C(C)CCC2C(C)(C)OC3=CC(CCCCC)=CC(O)=C3C21 CYQFCXCEBYINGO-UHFFFAOYSA-N 0.000 description 1
- AUYYCJSJGJYCDS-LBPRGKRZSA-N Thyrolar Chemical compound IC1=CC(C[C@H](N)C(O)=O)=CC(I)=C1OC1=CC=C(O)C(I)=C1 AUYYCJSJGJYCDS-LBPRGKRZSA-N 0.000 description 1
- 102000011923 Thyrotropin Human genes 0.000 description 1
- 108010061174 Thyrotropin Proteins 0.000 description 1
- 102000002248 Thyroxine-Binding Globulin Human genes 0.000 description 1
- 108010000259 Thyroxine-Binding Globulin Proteins 0.000 description 1
- 241000223997 Toxoplasma gondii Species 0.000 description 1
- 102000004338 Transferrin Human genes 0.000 description 1
- 108090000901 Transferrin Proteins 0.000 description 1
- 241000223104 Trypanosoma Species 0.000 description 1
- 102000004142 Trypsin Human genes 0.000 description 1
- 108090000631 Trypsin Proteins 0.000 description 1
- QIVBCDIJIAJPQS-UHFFFAOYSA-N Tryptophan Natural products C1=CC=C2C(CC(N)C(O)=O)=CNC2=C1 QIVBCDIJIAJPQS-UHFFFAOYSA-N 0.000 description 1
- 102100021436 UDP-glucose 4-epimerase Human genes 0.000 description 1
- 108010075202 UDP-glucose 4-epimerase Proteins 0.000 description 1
- 108010058532 UTP-hexose-1-phosphate uridylyltransferase Proteins 0.000 description 1
- 102000006321 UTP-hexose-1-phosphate uridylyltransferase Human genes 0.000 description 1
- LEHOTFFKMJEONL-UHFFFAOYSA-N Uric Acid Chemical compound N1C(=O)NC(=O)C2=C1NC(=O)N2 LEHOTFFKMJEONL-UHFFFAOYSA-N 0.000 description 1
- TVWHNULVHGKJHS-UHFFFAOYSA-N Uric acid Natural products N1C(=O)NC(=O)C2NC(=O)NC21 TVWHNULVHGKJHS-UHFFFAOYSA-N 0.000 description 1
- FPIPGXGPPPQFEQ-BOOMUCAASA-N Vitamin A Natural products OC/C=C(/C)\C=C\C=C(\C)/C=C/C1=C(C)CCCC1(C)C FPIPGXGPPPQFEQ-BOOMUCAASA-N 0.000 description 1
- 241000244005 Wuchereria bancrofti Species 0.000 description 1
- 102100039662 Xaa-Pro dipeptidase Human genes 0.000 description 1
- 241000710772 Yellow fever virus Species 0.000 description 1
- 108010063628 acarboxyprothrombin Proteins 0.000 description 1
- 230000003213 activating effect Effects 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- FPIPGXGPPPQFEQ-OVSJKPMPSA-N all-trans-retinol Chemical compound OC\C=C(/C)\C=C\C=C(/C)\C=C\C1=C(C)CCCC1(C)C FPIPGXGPPPQFEQ-OVSJKPMPSA-N 0.000 description 1
- 108010050122 alpha 1-Antitrypsin Proteins 0.000 description 1
- 102000015395 alpha 1-Antitrypsin Human genes 0.000 description 1
- 229940024142 alpha 1-antitrypsin Drugs 0.000 description 1
- 108010026331 alpha-Fetoproteins Proteins 0.000 description 1
- 102000013529 alpha-Fetoproteins Human genes 0.000 description 1
- 150000001413 amino acids Chemical class 0.000 description 1
- 229960003116 amyl nitrite Drugs 0.000 description 1
- 239000003263 anabolic agent Substances 0.000 description 1
- 229940070021 anabolic steroids Drugs 0.000 description 1
- 230000003460 anti-nuclear Effects 0.000 description 1
- 239000000427 antigen Substances 0.000 description 1
- 102000036639 antigens Human genes 0.000 description 1
- 108091007433 antigens Proteins 0.000 description 1
- VEQOALNAAJBPNY-UHFFFAOYSA-N antipyrine Chemical compound CN1C(C)=CC(=O)N1C1=CC=CC=C1 VEQOALNAAJBPNY-UHFFFAOYSA-N 0.000 description 1
- ODKSFYDXXFIFQN-UHFFFAOYSA-N arginine Natural products OC(=O)C(N)CCCNC(N)=N ODKSFYDXXFIFQN-UHFFFAOYSA-N 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 229960005070 ascorbic acid Drugs 0.000 description 1
- 235000010323 ascorbic acid Nutrition 0.000 description 1
- 239000011668 ascorbic acid Substances 0.000 description 1
- 229940125717 barbiturate Drugs 0.000 description 1
- ANFSNXAXVLRZCG-RSAXXLAASA-N benzphetamine hydrochloride Chemical compound [Cl-].C([C@H](C)[NH+](C)CC=1C=CC=CC=1)C1=CC=CC=C1 ANFSNXAXVLRZCG-RSAXXLAASA-N 0.000 description 1
- 208000005980 beta thalassemia Diseases 0.000 description 1
- 239000003139 biocide Substances 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 210000001124 body fluid Anatomy 0.000 description 1
- 239000004202 carbamide Substances 0.000 description 1
- 229960004203 carnitine Drugs 0.000 description 1
- 239000003054 catalyst Substances 0.000 description 1
- 239000013043 chemical agent Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000007795 chemical reaction product Substances 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- RUDATBOHQWOJDD-BSWAIDMHSA-N chenodeoxycholic acid Chemical compound C([C@H]1C[C@H]2O)[C@H](O)CC[C@]1(C)[C@@H]1[C@@H]2[C@@H]2CC[C@H]([C@@H](CCC(O)=O)C)[C@@]2(C)CC1 RUDATBOHQWOJDD-BSWAIDMHSA-N 0.000 description 1
- 229960001091 chenodeoxycholic acid Drugs 0.000 description 1
- ANTSCNMPPGJYLG-UHFFFAOYSA-N chlordiazepoxide Chemical compound O=N=1CC(NC)=NC2=CC=C(Cl)C=C2C=1C1=CC=CC=C1 ANTSCNMPPGJYLG-UHFFFAOYSA-N 0.000 description 1
- 229960003677 chloroquine Drugs 0.000 description 1
- WHTVZRBIWZFKQO-UHFFFAOYSA-N chloroquine Natural products ClC1=CC=C2C(NC(C)CCCN(CC)CC)=CC=NC2=C1 WHTVZRBIWZFKQO-UHFFFAOYSA-N 0.000 description 1
- 235000012000 cholesterol Nutrition 0.000 description 1
- 229960002471 cholic acid Drugs 0.000 description 1
- 229940048961 cholinesterase Drugs 0.000 description 1
- 229960001265 ciclosporin Drugs 0.000 description 1
- LOUPRKONTZGTKE-UHFFFAOYSA-N cinchonine Natural products C1C(C(C2)C=C)CCN2C1C(O)C1=CC=NC2=CC=C(OC)C=C21 LOUPRKONTZGTKE-UHFFFAOYSA-N 0.000 description 1
- 229960004126 codeine Drugs 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011109 contamination Methods 0.000 description 1
- 239000002872 contrast media Substances 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- CZWCKYRVOZZJNM-USOAJAOKSA-N dehydroepiandrosterone sulfate Chemical compound C1[C@@H](OS(O)(=O)=O)CC[C@]2(C)[C@H]3CC[C@](C)(C(CC4)=O)[C@@H]4[C@@H]3CC=C21 CZWCKYRVOZZJNM-USOAJAOKSA-N 0.000 description 1
- CYQFCXCEBYINGO-IAGOWNOFSA-N delta1-THC Chemical compound C1=C(C)CC[C@H]2C(C)(C)OC3=CC(CCCCC)=CC(O)=C3[C@@H]21 CYQFCXCEBYINGO-IAGOWNOFSA-N 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 239000000747 designer drug Substances 0.000 description 1
- QMQBBUPJKANITL-MYXGOWFTSA-N dextropropoxyphene hydrochloride Chemical compound [H+].[Cl-].C([C@](OC(=O)CC)([C@H](C)CN(C)C)C=1C=CC=CC=1)C1=CC=CC=C1 QMQBBUPJKANITL-MYXGOWFTSA-N 0.000 description 1
- 229960002069 diamorphine Drugs 0.000 description 1
- AAOVKJBEBIDNHE-UHFFFAOYSA-N diazepam Chemical compound N=1CC(=O)N(C)C2=CC=C(Cl)C=C2C=1C1=CC=CC=C1 AAOVKJBEBIDNHE-UHFFFAOYSA-N 0.000 description 1
- 229940120144 didrex Drugs 0.000 description 1
- 235000014113 dietary fatty acids Nutrition 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- HYPPXZBJBPSRLK-UHFFFAOYSA-N diphenoxylate Chemical compound C1CC(C(=O)OCC)(C=2C=CC=CC=2)CCN1CCC(C#N)(C=1C=CC=CC=1)C1=CC=CC=C1 HYPPXZBJBPSRLK-UHFFFAOYSA-N 0.000 description 1
- QCHSEDTUUKDTIG-UHFFFAOYSA-L dipotassium clorazepate Chemical compound [OH-].[K+].[K+].C12=CC(Cl)=CC=C2NC(=O)C(C(=O)[O-])N=C1C1=CC=CC=C1 QCHSEDTUUKDTIG-UHFFFAOYSA-L 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 229960003638 dopamine Drugs 0.000 description 1
- 229960004242 dronabinol Drugs 0.000 description 1
- GVGYEFKIHJTNQZ-RFQIPJPRSA-N ecgonine benzoate Chemical compound O([C@@H]1[C@@H]([C@H]2CC[C@@H](C1)N2C)C(O)=O)C(=O)C1=CC=CC=C1 GVGYEFKIHJTNQZ-RFQIPJPRSA-N 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229940007078 entamoeba histolytica Drugs 0.000 description 1
- 229930195729 fatty acid Natural products 0.000 description 1
- 239000000194 fatty acid Substances 0.000 description 1
- 150000004665 fatty acids Chemical class 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- NBVXSUQYWXRMNV-UHFFFAOYSA-N fluoromethane Chemical compound FC NBVXSUQYWXRMNV-UHFFFAOYSA-N 0.000 description 1
- 108010022687 fumarylacetoacetase Proteins 0.000 description 1
- 229930182830 galactose Natural products 0.000 description 1
- 229960002518 gentamicin Drugs 0.000 description 1
- 229960003180 glutathione Drugs 0.000 description 1
- RFDAIACWWDREDC-FRVQLJSFSA-N glycocholic acid Chemical compound C([C@H]1C[C@H]2O)[C@H](O)CC[C@]1(C)[C@@H]1[C@@H]2[C@@H]2CC[C@H]([C@@H](CCC(=O)NCC(O)=O)C)[C@@]2(C)[C@@H](O)C1 RFDAIACWWDREDC-FRVQLJSFSA-N 0.000 description 1
- 229940099347 glycocholic acid Drugs 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 239000000380 hallucinogen Substances 0.000 description 1
- 229960003242 halofantrine Drugs 0.000 description 1
- 229940037467 helicobacter pylori Drugs 0.000 description 1
- 108010047389 hemoglobin D Proteins 0.000 description 1
- HNDVDQJCIGZPNO-UHFFFAOYSA-N histidine Natural products OC(=O)C(N)CC1=CN=CN1 HNDVDQJCIGZPNO-UHFFFAOYSA-N 0.000 description 1
- 229940084986 human chorionic gonadotropin Drugs 0.000 description 1
- 229930195733 hydrocarbon Natural products 0.000 description 1
- 150000002430 hydrocarbons Chemical class 0.000 description 1
- OROGSEYTTFOCAN-UHFFFAOYSA-N hydrocodone Natural products C1C(N(CCC234)C)C2C=CC(O)C3OC2=C4C1=CC=C2OC OROGSEYTTFOCAN-UHFFFAOYSA-N 0.000 description 1
- 229960000890 hydrocortisone Drugs 0.000 description 1
- JUMYIBMBTDDLNG-OJERSXHUSA-N hydron;methyl (2r)-2-phenyl-2-[(2r)-piperidin-2-yl]acetate;chloride Chemical compound Cl.C([C@@H]1[C@H](C(=O)OC)C=2C=CC=CC=2)CCCN1 JUMYIBMBTDDLNG-OJERSXHUSA-N 0.000 description 1
- 229950000801 hydroxyprogesterone caproate Drugs 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 229940087973 lomotil Drugs 0.000 description 1
- ZAGRKAFMISFKIO-QMTHXVAHSA-N lysergic acid Chemical compound C1=CC(C2=C[C@H](CN([C@@H]2C2)C)C(O)=O)=C3C2=CNC3=C1 ZAGRKAFMISFKIO-QMTHXVAHSA-N 0.000 description 1
- 239000004325 lysozyme Substances 0.000 description 1
- 229960000274 lysozyme Drugs 0.000 description 1
- 235000010335 lysozyme Nutrition 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 240000004308 marijuana Species 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 229960001962 mefloquine Drugs 0.000 description 1
- 239000002207 metabolite Substances 0.000 description 1
- 229960002803 methaqualone Drugs 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 235000010755 mineral Nutrition 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 229960005181 morphine Drugs 0.000 description 1
- 208000010805 mumps infectious disease Diseases 0.000 description 1
- FYHCHSNOXWVJJT-UHFFFAOYSA-N n-debutylhalofantrine Chemical compound FC(F)(F)C1=CC=C2C(C(O)CCNCCCC)=CC3=C(Cl)C=C(Cl)C=C3C2=C1 FYHCHSNOXWVJJT-UHFFFAOYSA-N 0.000 description 1
- CSDTZUBPSYWZDX-UHFFFAOYSA-N n-pentyl nitrite Chemical compound CCCCCON=O CSDTZUBPSYWZDX-UHFFFAOYSA-N 0.000 description 1
- 239000004081 narcotic agent Substances 0.000 description 1
- 229960000808 netilmicin Drugs 0.000 description 1
- ZBGPYVZLYBDXKO-HILBYHGXSA-N netilmycin Chemical compound O([C@@H]1[C@@H](N)C[C@H]([C@@H]([C@H]1O)O[C@@H]1[C@]([C@H](NC)[C@@H](O)CO1)(C)O)NCC)[C@H]1OC(CN)=CC[C@H]1N ZBGPYVZLYBDXKO-HILBYHGXSA-N 0.000 description 1
- 230000001722 neurochemical effect Effects 0.000 description 1
- 229960002715 nicotine Drugs 0.000 description 1
- SNICXCGAKADSCV-UHFFFAOYSA-N nicotine Natural products CN1CCCC1C1=CC=CN=C1 SNICXCGAKADSCV-UHFFFAOYSA-N 0.000 description 1
- 239000001272 nitrous oxide Substances 0.000 description 1
- 229960002748 norepinephrine Drugs 0.000 description 1
- SFLSHLFXELFNJZ-UHFFFAOYSA-N norepinephrine Natural products NCC(O)C1=CC=C(O)C(O)=C1 SFLSHLFXELFNJZ-UHFFFAOYSA-N 0.000 description 1
- 229960001027 opium Drugs 0.000 description 1
- ADIMAYPTOBDMTL-UHFFFAOYSA-N oxazepam Chemical compound C12=CC(Cl)=CC=C2NC(=O)C(O)N=C1C1=CC=CC=C1 ADIMAYPTOBDMTL-UHFFFAOYSA-N 0.000 description 1
- 229940116369 pancreatic lipase Drugs 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- NRNCYVBFPDDJNE-UHFFFAOYSA-N pemoline Chemical compound O1C(N)=NC(=O)C1C1=CC=CC=C1 NRNCYVBFPDDJNE-UHFFFAOYSA-N 0.000 description 1
- 229960001639 penicillamine Drugs 0.000 description 1
- 229940011043 percocet Drugs 0.000 description 1
- 229960005222 phenazone Drugs 0.000 description 1
- OOBHFESNSZDWIU-UHFFFAOYSA-N phenmetrazine Chemical compound CC1NCCOC1C1=CC=CC=C1 OOBHFESNSZDWIU-UHFFFAOYSA-N 0.000 description 1
- DDBREPKUVSBGFI-UHFFFAOYSA-N phenobarbital Chemical compound C=1C=CC=CC=1C1(CC)C(=O)NC(=O)NC1=O DDBREPKUVSBGFI-UHFFFAOYSA-N 0.000 description 1
- 229960002695 phenobarbital Drugs 0.000 description 1
- COLNVLDHVKWLRT-UHFFFAOYSA-N phenylalanine Natural products OC(=O)C(N)CC1=CC=CC=C1 COLNVLDHVKWLRT-UHFFFAOYSA-N 0.000 description 1
- 229960002036 phenytoin Drugs 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 239000000049 pigment Substances 0.000 description 1
- 150000004032 porphyrins Chemical class 0.000 description 1
- 229950009829 prasterone sulfate Drugs 0.000 description 1
- 239000002243 precursor Substances 0.000 description 1
- 239000000186 progesterone Substances 0.000 description 1
- 229960003387 progesterone Drugs 0.000 description 1
- 229940097325 prolactin Drugs 0.000 description 1
- 108010066823 proline dipeptidase Proteins 0.000 description 1
- 229950003776 protoporphyrin Drugs 0.000 description 1
- QKTAAWLCLHMUTJ-UHFFFAOYSA-N psilocybin Chemical compound C1C=CC(OP(O)(O)=O)=C2C(CCN(C)C)=CN=C21 QKTAAWLCLHMUTJ-UHFFFAOYSA-N 0.000 description 1
- 229960000948 quinine Drugs 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 229940099204 ritalin Drugs 0.000 description 1
- 201000005404 rubella Diseases 0.000 description 1
- 108010093322 s-formylglutathione hydrolase Proteins 0.000 description 1
- 102000028528 s-formylglutathione hydrolase Human genes 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 206010039766 scrub typhus Diseases 0.000 description 1
- 239000011669 selenium Substances 0.000 description 1
- 229910052711 selenium Inorganic materials 0.000 description 1
- 210000002966 serum Anatomy 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 239000000021 stimulant Substances 0.000 description 1
- 238000003756 stirring Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 229960004673 sulfadoxine Drugs 0.000 description 1
- 210000004243 sweat Anatomy 0.000 description 1
- 229940066690 talwin Drugs 0.000 description 1
- 229960005367 tetanus antitoxin Drugs 0.000 description 1
- 229960000278 theophylline Drugs 0.000 description 1
- 229960000874 thyrotropin Drugs 0.000 description 1
- 230000001748 thyrotropin Effects 0.000 description 1
- 239000011573 trace mineral Substances 0.000 description 1
- 235000013619 trace mineral Nutrition 0.000 description 1
- 239000003204 tranquilizing agent Substances 0.000 description 1
- 230000002936 tranquilizing effect Effects 0.000 description 1
- LOIYMIARKYCTBW-OWOJBTEDSA-N trans-urocanic acid Chemical compound OC(=O)\C=C\C1=CNC=N1 LOIYMIARKYCTBW-OWOJBTEDSA-N 0.000 description 1
- LOIYMIARKYCTBW-UHFFFAOYSA-N trans-urocanic acid Natural products OC(=O)C=CC1=CNC=N1 LOIYMIARKYCTBW-UHFFFAOYSA-N 0.000 description 1
- 239000012581 transferrin Substances 0.000 description 1
- 229940063648 tranxene Drugs 0.000 description 1
- 230000004102 tricarboxylic acid cycle Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 229940035722 triiodothyronine Drugs 0.000 description 1
- 239000012588 trypsin Substances 0.000 description 1
- 229940071950 tussionex Drugs 0.000 description 1
- OUYCCCASQSFEME-UHFFFAOYSA-N tyrosine Natural products OC(=O)C(N)CC1=CC=C(O)C=C1 OUYCCCASQSFEME-UHFFFAOYSA-N 0.000 description 1
- 241000701161 unidentified adenovirus Species 0.000 description 1
- 241001529453 unidentified herpesvirus Species 0.000 description 1
- 241000712461 unidentified influenza virus Species 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
- 229940116269 uric acid Drugs 0.000 description 1
- 229940072690 valium Drugs 0.000 description 1
- 235000019155 vitamin A Nutrition 0.000 description 1
- 239000011719 vitamin A Substances 0.000 description 1
- 229940045997 vitamin a Drugs 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
- 229940051021 yellow-fever virus Drugs 0.000 description 1
- FUTVBRXUIKZACV-UHFFFAOYSA-J zinc;3-[18-(2-carboxylatoethyl)-8,13-bis(ethenyl)-3,7,12,17-tetramethylporphyrin-21,24-diid-2-yl]propanoate Chemical compound [Zn+2].[N-]1C2=C(C)C(CCC([O-])=O)=C1C=C([N-]1)C(CCC([O-])=O)=C(C)C1=CC(C(C)=C1C=C)=NC1=CC(C(C)=C1C=C)=NC1=C2 FUTVBRXUIKZACV-UHFFFAOYSA-J 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/0507—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves using microwaves or terahertz waves
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
- A61B5/4839—Diagnosis combined with treatment in closed-loop systems or methods combined with drug delivery
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Definitions
- This disclosure relates generally to apparatus, systems and methods of non-invasively detecting an analyte via spectroscopic techniques using non-optical frequencies such as in the radio or microwave frequency bands of the electromagnetic spectrum. More specifically, this disclosure relates to non-invasive analyte detection and automated response based on detection of the one or more analytes.
- analyte measurement method is invasive in that they perform the measurement on a bodily fluid such as blood for fingerstick or laboratory-based tests, or on fluid that is drawn from the patient often using an invasive transcutaneous device.
- invasive methods that claim to be able to perform glucose measurements in biological tissues.
- non-invasive methods generally suffer from: lack of specificity to the analyte of interest, such as glucose; interference from temperature fluctuations; interference from skin compounds (i.e. sweat) and pigments; and complexity of placement, i.e. the sensing device resides on multiple locations on the patient’s body.
- a non-invasive analyte sensor described herein includes at least one transmit antenna (which may also be referred to as a transmit element) that functions to transmit a generated transmit signal in a radio or microwave frequency range of the electromagnetic spectrum into a target containing an analyte of interest, and at least one receive antenna (which may also be referred to as a receive element) that functions to detect a response resulting from transmission of the transmit signal by the transmit antenna into the target.
- transmit antenna which may also be referred to as a transmit element
- receive antenna which may also be referred to as a receive element
- the transmit and receive antennas are decoupled from one another which helps to improve the detection capability of the non-invasive analyte sensor.
- the decoupling between the transmit and receive antennas can be achieved using any one or more techniques that causes as much of the signal as possible that is transmitted by the transmit antenna to enter the target and that minimizes or even eliminates the amount of electromagnetic energy that is directly received by the receive antenna from the transmit antenna without traveling into the target.
- the decoupling can be achieved by one or more intentionally fabricated configurations and/or arrangements between the transmit and receive antennas that is sufficient to decouple the transmit and receive antennas from one another.
- the decoupling can be achieved by the transmit antenna and the receive antenna having intentionally different geometries from one another. Intentionally different geometries refers to different geometric configurations of the transmit and receive antennas that are intentional, and is distinct from differences in geometry of transmit and receive antennas that may occur by accident or unintentionally, for example due to manufacturing errors or tolerances.
- Another technique to achieve decoupling of the transmit and receive antennas is to use an appropriate spacing between each antenna, depending upon factors such as output power, size of the antennas, frequency, and the presence of any shielding, so as to force a proportion of the electromagnetic lines of force of the transmit signal into the target so they reach the analyte, thereby minimizing or eliminating as much as possible direct receipt of electromagnetic energy by the receive antenna directly from the transmit antenna without traveling into the target.
- This technique helps to ensure that the response detected by the receive antenna is measuring the analyte and is not just the transmitted signal flowing directly from the transmit antenna to the receive antenna.
- the sensor can use a first pair of transmit and receive antennas that have a first spacing therebetween, and a second pair of transmit and receive antennas that have a second spacing therebetween that differs from the first spacing.
- the techniques described herein can be used to detect the presence of the analyte of interest, as well an amount of the analyte or a concentration of the analyte within the target.
- the techniques described herein can be used to detect a single analyte or more than one analyte.
- the target can be any target, for example human or non-human, animal or non-animal, biological or non-biological, that contains the analyte(s) that one may wish to detect.
- the target can include, but is not limited to, human tissue, animal tissue, plant tissue, an inanimate object, soil, a fluid, genetic material, or a microbe.
- the analyte(s) can be any analyte, for example human or non-human, animal or non-animal, biological or non-biological, that one may wish to detect.
- the analyte(s) can include, but is not limited to, one or more of blood glucose, blood alcohol, white blood cells, or luteinizing hormone.
- the presence or amount of the analyte can be responded to by controlling a flow, for example controlling the introduction of one or more compounds into the medium subjected to detection, controlling flow of the medium to start, stop, increase or decrease its flow, or directing flow of the medium, for example to change flow paths.
- the analyte can be blood glucose and the response can be operation of an insulin pump to control the supply of insulin based on the blood glucose level.
- an analyte sensing and response system includes a sensor configured to detect at least one analyte of interest in a medium.
- the sensor includes an antenna array having at least one transmit antenna and at least one receive antenna, wherein the at least one transmit antenna and the at least one receive antenna are less than 95% coupled to one another, a transmit circuit that is electrically connectable to the at least one transmit antenna, the transmit circuit is configured to generate a transmit signal to be transmitted by the at least one transmit antenna, the transmit signal is in a radio or microwave frequency range of the electromagnetic spectrum, and a receive circuit that is electrically connectable to the at least one receive antenna, the receive circuit is configured to receive a response detected by the at least one receive antenna resulting from transmission of the transmit signal by the at least one transmit antenna into the medium.
- the system further includes a controller configured to direct an action affecting a level of the at least one analyte of interest in the medium, based on detection of the at least one analyte by the sensor.
- the action includes controlling a valve to increase or decrease a flow of the analyte of interest into the medium. In an embodiment, the action includes controlling a valve to increase or decrease flow into the medium of a compound interacting with the analyte of interest in the medium.
- the system includes a mechanical device that is connected to and controlled by a signal from the controller, and the mechanical device is configured to control a level of the at least one analyte of interest in the medium based on the signal received from the controller.
- the system includes a heating or cooling device that is connected to and controlled by a signal from the controller, and the heating or cooling device is configured to affect a temperature of the medium.
- the analyte of interest is glucose
- the action includes operating an insulin pump based on detection of the glucose by the sensor.
- the controller is included in a device separate from the sensor.
- the device separate from the sensor is configured to receive information regarding the analyte from the sensor.
- the information regarding the analyte is a presence or amount of the analyte
- the controller is further configured to determine the action based on the presence or amount of the analyte.
- the information regarding the analyte includes the action to be directed by the controller.
- the system further includes a remote server, and the remote server is configured to receive information regarding the analyte from the sensor and to communicate a command to the controller.
- an analyte sensing and response system includes a sensor configured to detect at least one analyte of interest in a medium includes a sensor housing and a decoupled detector array attached to the sensor housing.
- the decoupled detector array has at least one transmit element and at least one receive element, and the at least one transmit element and the at least one receive element are less than 95% coupled to one another.
- the at least one transmit element consists of a strip of conductive material having at least one lateral dimension thereof greater than a thickness dimension thereof, and the strip of conductive material of the at least one transmit element is disposed on a substrate.
- the at least one receive element consists of a strip of conductive material having at least one lateral dimension thereof greater than a thickness dimension thereof, and the strip of conductive material of the at least one receive element is disposed on a substrate.
- the sensor further includes a transmit circuit attached to the sensor housing. The transmit circuit is electrically connectable to the at least one transmit element. The transmit circuit is configured to generate a transmit signal to be transmitted by the at least one transmit element into a target containing the at least one analyte of interest. The transmit signal is in a radio or microwave frequency range of the electromagnetic spectrum.
- the sensor also includes a receive circuit attached to the sensor housing. The receive circuit is electrically connectable to the at least one receive element.
- the receive circuit is configured to receive a response detected by the at least one receive element resulting from transmission of the transmit signal by the at least one transmit element into the target containing the at least one analyte of interest.
- the system further includes a controller configured to direct an action affecting a level of the at least one analyte of interest in the medium, based on detection of the at least one analyte by the sensor.
- the action includes controlling a valve to increase or decrease a flow of the analyte of interest into the medium. In an embodiment, the action includes controlling a valve to increase or decrease flow into the medium of a compound interacting with the analyte of interest in the medium.
- the system includes a mechanical device that is connected to and controlled by a signal from the controller, and the mechanical device is configured to control a level of the at least one analyte of interest in the medium based on the signal received from the controller.
- the system includes a heating or cooling device that is connected to and controlled by a signal from the controller, and the heating or cooling device is configured to affect a temperature of the medium.
- the analyte of interest is glucose
- the action includes operating an insulin pump based on detection of the glucose by the sensor.
- the controller is included in a device separate from the sensor.
- the device separate from the sensor is configured to receive information regarding the analyte from the sensor.
- the information regarding the analyte is a presence or amount of the analyte
- the controller is further configured to determine the action based on the presence or amount of the analyte.
- the information regarding the analyte includes the action to be directed by the controller.
- the system further includes a remote server, wherein the remote server is configured to receive information regarding the analyte from the sensor and to communicate a command to the controller.
- a method for automatically acting based on detection of one or more analytes includes non-invasively detecting the one or more analytes in a medium.
- Non- invasively detecting the one or more analytes includes generating a transmit signal having at least two different frequencies each of which falls within a range of between about 10 kHz to about 100 GHz and transmitting the transmit signal into the medium from at least one transmit element having a first geometry.
- Non-invasively detecting the one or more analytes further includes using at least one receive element that is decoupled from the at least one transmit element and having a second geometry that is geometrically different from the first geometry to detect a response resulting from transmitting the transmit signal by the at least one transmit element into the medium and determining a presence or an amount of each of the one or more analytes based on the response.
- the method further includes determining, at a controller, an automated action affecting a level of at least one of the one or more analytes based on the presence or the amount of said at least one of the one or more analytes; and directing a control device to perform the automated action.
- the automated action includes increasing or decreasing a flow into the medium of said at least one of the one or more analytes. In an embodiment, the automated action includes increasing or decreasing a flow into the medium of one or more chemicals other than said at least one of the one or more analytes. In an embodiment, the automated action includes increasing or decreasing a temperature of the medium. In an embodiment, the automated action is increasing or decreasing a supply of insulin provided by an insulin pump. In an embodiment, at least one of the one or more analytes includes insulin.
- non-invasively detecting the one or more analytes is performed using a sensor, and the controller and the sensor are included in one device.
- non-invasively detecting the one or more analytes is performed using a sensor, and the controller is in a device separate from the sensor.
- the device separate from the sensor is a remote server.
- the device separate from the sensor includes the control device.
- the medium is a flow of a fluid.
- a method for automatically acting based on detection of one or more analytes includes non-invasively detecting the one or more analytes.
- Non-invasively detecting the one or more analytes includes generating a transmit signal having at least two different frequencies each of which falls within a range of between about 10 kHz to about 100 GHz and transmitting the transmit signal from at least one transmit element having a first geometry into the medium.
- Non-invasively detecting the one or more analytes further includes detecting a response resulting from transmitting the transmit signal by the at least one transmit element into the medium using at least one receive element that is less than 95% coupled to the at least one transmit element; The method further includes determining a presence or an amount of each of the one or more analytes based on the response. The method also includes determining, at a controller, an automated action based on the presence or the amount of at least one of the one or more analytes and directing a control device to perform the automated action.
- the automated action includes increasing or decreasing a flow into the medium of said at least one of the one or more analytes. In an embodiment, the automated action includes increasing or decreasing a flow into the medium of one or more chemicals other than said at least one of the one or more analytes. In an embodiment, the automated action includes increasing or decreasing a temperature of the medium. In an embodiment, the automated action is increasing or decreasing a supply of insulin provided by an insulin pump. In an embodiment, at least one of the one or more analytes includes insulin.
- non-invasively detecting the one or more analytes is performed using a sensor, and the controller and the sensor are included in one device.
- non-invasively detecting the one or more analytes is performed using a sensor, and the controller is in a device separate from the sensor.
- the device separate from the sensor is a remote server.
- the device separate from the sensor includes the control device.
- the medium is a flow of a fluid.
- Figure l is a schematic depiction of a non-invasive analyte sensor system with a non- invasive analyte sensor relative to a target according to an embodiment.
- Figures 2A-C illustrate different example orientations of antenna arrays that can be used in the sensor system described herein.
- Figures 3A-3I illustrate different examples of transmit and receive antennas with different geometries.
- Figures 4A, 4B, 4C and 4D illustrate additional examples of different shapes that the ends of the transmit and receive antennas can have.
- Figure 5 is a schematic depiction of a sensor device according to an embodiment.
- Figure 6 is a flowchart of a method for detecting an analyte according to an embodiment.
- Figure 7 is a flowchart of analysis of a response according to an embodiment.
- Figure 8 is a flowchart of a method of providing an automated response to detection of one or more analytes according to an embodiment.
- Figure 9 illustrates one non-limiting example of a system configured to automatically carry out an action.
- Figure 10 illustrates one non-limiting example of a system configured to automatically control an insulin pump.
- a non-invasive analyte sensor includes a transmit antenna (which may also be referred to as a transmit element) that functions to transmit a generated transmit signal that is in a radio or microwave frequency range of the electromagnetic spectrum into a target containing an analyte of interest, and a receive antenna (which may also be referred to as a receive element) that functions to detect a response resulting from transmission of the transmit signal by the transmit antenna into the target.
- the transmit antenna and the receive antenna are decoupled from one another which improves the detection performance of the sensor.
- the transmit antenna and the receive antenna can be located near the target and operated as further described herein to assist in detecting at least one analyte in the target.
- the transmit antenna transmits a signal, which has at least two frequencies in the radio or microwave frequency range, toward and into the target.
- the signal with the at least two frequencies can be formed by separate signal portions, each having a discrete frequency, that are transmitted separately at separate times at each frequency.
- the signal with the at least two frequencies may be part of a complex signal that includes a plurality of frequencies including the at least two frequencies.
- the complex signal can be generated by blending or multiplexing multiple signals together followed by transmitting the complex signal whereby the plurality of frequencies are transmitted at the same time.
- One possible technique for generating the complex signal includes, but is not limited to, using an inverse Fourier transformation technique.
- the receive antenna detects a response resulting from transmission of the signal by the transmit antenna into the target containing the at least one analyte of interest.
- the transmit antenna and the receive antenna are decoupled (which may also be referred to as detuned or the like) from one another.
- Decoupling refers to intentionally fabricating the configuration and/or arrangement of the transmit antenna and the receive antenna to minimize direct communication between the transmit antenna and the receive antenna, preferably absent shielding. Shielding between the transmit antenna and the receive antenna can be utilized. However, the transmit antenna and the receive antenna are decoupled even without the presence of shielding.
- the signal(s) detected by the receive antenna can be analyzed to detect the analyte based on the intensity of the received signal(s) and reductions in intensity at one or more frequencies where the analyte absorbs the transmitted signal.
- An example of detecting an analyte using a non-invasive spectroscopy sensor operating in the radio or microwave frequency range of the electromagnetic spectrum is described in WO 2019/217461, the entire contents of which are incorporated herein by reference.
- the signal(s) detected by the receive antenna can be complex signals including a plurality of signal components, each signal component being at a different frequency.
- the detected complex signals can be decomposed into the signal components at each of the different frequencies, for example through a Fourier transformation.
- the complex signal detected by the receive antenna can be analyzed as a whole (i.e. without demultiplexing the complex signal) to detect the analyte as long as the detected signal provides enough information to make the analyte detection.
- the signal(s) detected by the receive antenna can be separate signal portions, each having a discrete frequency.
- the senor described herein can be used to detect the presence of at least one analyte in a target. In another embodiment, the sensor described herein can detect an amount or a concentration of the at least one analyte in the target.
- the target can be any target containing at least one analyte of interest that one may wish to detect.
- the target can be human or non -human, animal or non-animal, biological or non-biological.
- the target can include, but is not limited to, human tissue, animal tissue, plant tissue, an inanimate object, soil, a fluid, genetic material, or a microbe.
- targets include, but are not limited to, a fluid, for example blood, interstitial fluid, cerebral spinal fluid, lymph fluid or urine, human tissue, animal tissue, plant tissue, an inanimate object, soil, genetic material, or a microbe.
- the analyte(s) can be any analyte that one may wish to detect.
- the analyte can be human or non -human, animal or non-animal, biological or non-biological.
- the analyte(s) can include, but is not limited to, one or more of blood glucose, blood alcohol, white blood cells, or luteinizing hormone.
- the analyte(s) can include, but is not limited to, a chemical, a combination of chemicals, a virus, bacteria, or the like.
- the analyte can be a chemical included in another medium, with non-limiting examples of such media including a fluid containing the at least one analyte, for example blood, interstitial fluid, cerebral spinal fluid, lymph fluid or urine, human tissue, animal tissue, plant tissue, an inanimate object, soil, genetic material, or a microbe.
- the analyte(s) may also be a non-human, non-biological particle such as a mineral or a contaminant.
- the analyte(s) can include, for example, naturally occurring substances, artificial substances, metabolites, and/or reaction products.
- the at least one analyte can include, but is not limited to, insulin, acarboxyprothrombin; acylcarnitine; adenine phosphoribosyl transferase; adenosine deaminase; albumin; alpha-fetoprotein; amino acid profiles (arginine (Krebs cycle), histidine/urocanic acid, homocysteine, phenylalanine/tyrosine, tryptophan); andrenostenedione; antipyrine; arabinitol enantiomers; arginase; benzoylecgonine (cocaine); biotinidase; biopterin; c-reactive protein; carnitine; pro- BNP; BNP; troponin; carnosinase; CD4; ceruloplasmin
- the analyte(s) can also include one or more chemicals introduced into the target.
- the analyte(s) can include a marker such as a contrast agent, a radioisotope, or other chemical agent.
- the analyte(s) can include a fluorocarbon-based synthetic blood.
- the analyte(s) can include a drug or pharmaceutical composition, with non-limiting examples including ethanol; cannabis (marijuana, tetrahydrocannabinol, hashish); inhalants (nitrous oxide, amyl nitrite, butyl nitrite, chlorohydrocarbons, hydrocarbons); cocaine (crack cocaine); stimulants (amphetamines, methamphetamines, Ritalin, Cylert, Preludin, Didrex, PreState, Voranil, Sandrex, Plegine); depressants (barbiturates, methaqualone, tranquilizers such as Valium, Librium, Miltown, Serax, Equanil, Tranxene); hallucinogens (phencyclidine,
- the analyte(s) can include other drugs or pharmaceutical compositions.
- the analyte(s) can include neurochemicals or other chemicals generated within the body, such as, for example, ascorbic acid, uric acid, dopamine, noradrenaline, 3-methoxytyramine (3MT), 3,4-Dihydroxyphenylacetic acid (DOPAC), Homovanillic acid (HVA), 5-Hydroxytryptamine (5HT), and 5-Hydroxyindoleacetic acid (FHIAA).
- neurochemicals or other chemicals generated within the body such as, for example, ascorbic acid, uric acid, dopamine, noradrenaline, 3-methoxytyramine (3MT), 3,4-Dihydroxyphenylacetic acid (DOPAC), Homovanillic acid (HVA), 5-Hydroxytryptamine (5HT), and 5-Hydroxyindoleacetic acid (FHIAA).
- the sensor 5 is depicted relative to a target 7 that contains an analyte of interest 9.
- the sensor 5 is depicted as including an antenna array that includes a transmit antenna/element 11 (hereinafter “transmit antenna 11”) and a receive antenna/element 13 (hereinafter “receive antenna 13”).
- the sensor 5 further includes a transmit circuit 15, a receive circuit 17, and a controller 19.
- the sensor 5 can also include a power supply, such as a battery (not shown in Figure 1).
- the transmit antenna 11 is positioned, arranged and configured to transmit a signal 21 that is the radio frequency (RF) or microwave range of the electromagnetic spectrum into the target 7.
- the transmit antenna 11 can be an electrode or any other suitable transmitter of electromagnetic signals in the radio frequency (RF) or microwave range.
- the transmit antenna 11 can have any arrangement and orientation relative to the target 7 that is sufficient to allow the analyte sensing to take place. In one non-limiting embodiment, the transmit antenna 11 can be arranged to face in a direction that is substantially toward the target 7.
- the signal 21 transmitted by the transmit antenna 11 is generated by the transmit circuit 15 which is electrically connectable to the transmit antenna 11.
- the transmit circuit 15 can have any configuration that is suitable to generate a transmit signal to be transmitted by the transmit antenna 11.
- the transmit circuit 15 can include, for example, a connection to a power source, a frequency generator, and optionally filters, amplifiers or any other suitable elements for a circuit generating an RF or microwave frequency electromagnetic signal.
- the signal generated by the transmit circuit 15 can have at least two discrete frequencies (i.e. a plurality of discrete frequencies), each of which is in the range from about 10 kHz to about 100 GHz. In another embodiment, each of the at least two discrete frequencies can be in a range from about 300 MHz to about 6000 MHz.
- the transmit circuit 15 can be configured to sweep through a range of frequencies that are within the range of about 10 kHz to about 100 GHz, or in another embodiment a range of about 300 MHz to about 6000 MHz.
- the transmit circuit 15 can be configured to produce a complex transmit signal, the complex signal including a plurality of signal components, each of the signal components having a different frequency.
- the complex signal can be generated by blending or multiplexing multiple signals together followed by transmitting the complex signal whereby the plurality of frequencies are transmitted at the same time.
- the receive antenna 13 is positioned, arranged, and configured to detect one or more electromagnetic response signals 23 that result from the transmission of the transmit signal 21 by the transmit antenna 11 into the target 7 and impinging on the analyte 9.
- the receive antenna 13 can be an electrode or any other suitable receiver of electromagnetic signals in the radio frequency (RF) or microwave range.
- the receive antenna 13 is configured to detect electromagnetic signals having at least two frequencies, each of which is in the range from about 10 kHz to about 100 GHz, or in another embodiment a range from about 300 MHz to about 6000 MHz.
- the receive antenna 13 can have any arrangement and orientation relative to the target 7 that is sufficient to allow detection of the response signal(s) 23 to allow the analyte sensing to take place.
- the receive antenna 13 can be arranged to face in a direction that is substantially toward the target 7.
- the receive circuit 17 is electrically connectable to the receive antenna 13 and conveys the received response from the receive antenna 13 to the controller 19.
- the receive circuit 17 can have any configuration that is suitable for interfacing with the receive antenna 13 to convert the electromagnetic energy detected by the receive antenna 13 into one or more signals reflective of the response signal(s) 23.
- the construction of receive circuits are well known in the art.
- the receive circuit 17 can be configured to condition the signal(s) prior to providing the signal(s) to the controller 19, for example through amplifying the signal(s), filtering the signal(s), or the like.
- the receive circuit 17 may include filters, amplifiers, or any other suitable components for conditioning the signal(s) provided to the controller 19.
- at least one of the receive circuit 17 or the controller 19 can be configured to decompose or demultiplex a complex signal, detected by the receive antenna 13, including a plurality of signal components each at different frequencies into each of the constituent signal components.
- decomposing the complex signal can include applying a Fourier transform to the detected complex signal.
- decomposing or demultiplexing a received complex signal is optional.
- the complex signal detected by the receive antenna can be analyzed as a whole (i.e. without demultiplexing the complex signal) to detect the analyte as long as the detected signal provides enough information to make the analyte detection.
- the controller 19 controls the operation of the sensor 5.
- the controller 19, for example, can direct the transmit circuit 15 to generate a transmit signal to be transmitted by the transmit antenna 11.
- the controller 19 further receives signals from the receive circuit 17.
- the controller 19 can optionally process the signals from the receive circuit 17 to detect the analyte(s) 9 in the target 7.
- the controller 19 may optionally be in communication with at least one external device 25 such as a user device and/or a remote server 27, for example through one or more wireless connections such as Bluetooth, wireless data connections such a 4G, 5G, LTE or the like, or Wi-Fi.
- the external device 25 and/or remote server 27 may process (or further process) the signals that the controller 19 receives from the receive circuit 17, for example to detect the analyte(s) 9.
- the external device 25 may be used to provide communication between the sensor 5 and the remote server 27, for example using a wired data connection or via a wireless data connection or WiFi of the external device 25 to provide the connection to the remote server 27.
- the controller 19 is further configured to determine an action to be taken in response to detection of the analyte or analytes of interest 9.
- another controller (not shown) separate from controller 19 can determine the action.
- the sensor 5 may include a sensor housing 29 (shown in dashed lines) that defines an interior space 31. Components of the sensor 5 may be attached to and/or disposed within the housing 29.
- the transmit antenna 11 and the receive antenna 13 are attached to the housing 29.
- the antennas 11, 13 may be entirely or partially within the interior space 31 of the housing 29.
- the antennas 11, 13 may be attached to the housing 29 but at least partially or fully located outside the interior space 31.
- the transmit circuit 15, the receive circuit 17 and the controller 19 are attached to the housing 29 and disposed entirely within the sensor housing 29.
- the receive antenna 13 is decoupled or detuned with respect to the transmit antenna 11 such that electromagnetic coupling between the transmit antenna 11 and the receive antenna 13 is reduced.
- the decoupling of the transmit antenna 11 and the receive antenna 13 increases the portion of the signal(s) detected by the receive antenna 13 that is the response signal(s) 23 from the target 7, and minimizes direct receipt of the transmitted signal 21 by the receive antenna 13.
- the decoupling of the transmit antenna 11 and the receive antenna 13 results in transmission from the transmit antenna 11 to the receive antenna 13 having a reduced forward gain (S21) and an increased reflection at output (S22) compared to antenna systems having coupled transmit and receive antennas.
- coupling between the transmit antenna 11 and the receive antenna 13 is 95% or less. In another embodiment, coupling between the transmit antenna 11 and the receive antenna 13 is 90% or less. In another embodiment, coupling between the transmit antenna 11 and the receive antenna 13 is 85% or less. In another embodiment, coupling between the transmit antenna 11 and the receive antenna 13 is 75% or less.
- the decoupling between the transmit antenna 11 and the receive antenna 13 can be achieved by one or more intentionally fabricated configurations and/or arrangements between the transmit antenna 11 and the receive antenna 13 that is sufficient to decouple the transmit antenna 11 and the receive antenna 13 from one another.
- the decoupling of the transmit antenna 11 and the receive antenna 13 can be achieved by intentionally configuring the transmit antenna 11 and the receive antenna 13 to have different geometries from one another. Intentionally different geometries refers to different geometric configurations of the transmit and receive antennas 11, 13 that are intentional. Intentional differences in geometry are distinct from differences in geometry of transmit and receive antennas that may occur by accident or unintentionally, for example due to manufacturing errors or tolerances.
- Another technique to achieve decoupling of the transmit antenna 11 and the receive antenna 13 is to provide appropriate spacing between each antenna 11, 13 that is sufficient to decouple the antennas 11, 13 and force a proportion of the electromagnetic lines of force of the transmitted signal 21 into the target 7 thereby minimizing or eliminating as much as possible direct receipt of electromagnetic energy by the receive antenna 13 directly from the transmit antenna 11 without traveling into the target 7.
- the appropriate spacing between each antenna 11, 13 can be determined based upon factors that include, but are not limited to, the output power of the signal from the transmit antenna 11, the size of the antennas 11, 13, the frequency or frequencies of the transmitted signal, and the presence of any shielding between the antennas.
- This technique helps to ensure that the response detected by the receive antenna 13 is measuring the analyte 9 and is not just the transmitted signal 21 flowing directly from the transmit antenna 11 to the receive antenna 13.
- the appropriate spacing between the antennas 11, 13 can be used together with the intentional difference in geometries of the antennas 11, 13 to achieve decoupling.
- the transmit signal that is transmitted by the transmit antenna 11 can have at least two different frequencies, for example upwards of 7 to 12 different and discrete frequencies.
- the transmit signal can be a series of discrete, separate signals with each separate signal having a single frequency or multiple different frequencies.
- the transmit signal (or each of the transmit signals) can be transmitted over a transmit time that is less than, equal to, or greater than about 300 ms.
- the transmit time can be than, equal to, or greater than about 200 ms.
- the transmit time can be less than, equal to, or greater than about 30 ms.
- the transmit time could also have a magnitude that is measured in seconds, for example 1 second, 5 seconds, 10 seconds, or more.
- the same transmit signal can be transmitted multiple times, and then the transmit time can be averaged.
- the transmit signal (or each of the transmit signals) can be transmitted with a duty cycle that is less than or equal to about 50%.
- FIGS 2A-2C illustrate examples of antenna arrays 33 that can be used in the sensor system 5 and how the antenna arrays 33 can be oriented. Many orientations of the antenna arrays 33 are possible, and any orientation can be used as long as the sensor 5 can perform its primary function of sensing the analyte 9.
- the antenna array 33 includes the transmit antenna 11 and the receive antenna 13 disposed on a substrate 35 which may be substantially planar.
- This example depicts the array 33 disposed substantially in an X-Y plane.
- dimensions of the antennas 11, 13 in the X and Y-axis directions can be considered lateral dimensions, while a dimension of the antennas 11, 13 in the Z-axis direction can be considered a thickness dimension.
- each of the antennas 11, 13 has at least one lateral dimension (measured in the X-axis direction and/or in the Y-axis direction) that is greater than the thickness dimension thereof (in the Z-axis direction).
- the transmit antenna 11 and the receive antenna 13 are each relatively flat or of relatively small thickness in the Z-axis direction compared to at least one other lateral dimension measured in the X-axis direction and/or in the Y-axis direction.
- the sensor and the array 33 may be positioned relative to the target 7 such that the target 7 is below the array 33 in the Z-axis direction or above the array 33 in the Z-axis direction whereby one of the faces of the antennas 11, 13 face toward the target 7.
- the target 7 can be positioned to the left or right sides of the array 33 in the X-axis direction whereby one of the ends of each one of the antennas 11, 13 face toward the target 7.
- the target 7 can be positioned to the sides of the array 33 in the Y-axis direction whereby one of the sides of each one of the antennas 11, 13 face toward the target 7.
- the sensor 5 can also be provided with one or more additional antenna arrays in addition the antenna array 33.
- Figure 2A also depicts an optional second antenna array 33a that includes the transmit antenna 11 and the receive antenna 13 disposed on a substrate 35a which may be substantially planar.
- the array 33a may also be disposed substantially in the X-Y plane, with the arrays 33, 33a spaced from one another in the X-axis direction.
- the antenna array 33 is depicted as being disposed substantially in the Y- Z plane.
- dimensions of the antennas 11, 13 in the Y and Z-axis directions can be considered lateral dimensions, while a dimension of the antennas 11, 13 in the X-axis direction can be considered a thickness dimension.
- each of the antennas 11, 13 has at least one lateral dimension (measured in the Y-axis direction and/or in the Z-axis direction) that is greater than the thickness dimension thereof (in the X-axis direction).
- the transmit antenna 11 and the receive antenna 13 are each relatively flat or of relatively small thickness in the X-axis direction compared to at least one other lateral dimension measured in the Y-axis direction and/or in the Z-axis direction.
- the sensor and the array 33 may be positioned relative to the target 7 such that the target 7 is below the array 33 in the Z-axis direction or above the array 33 in the Z-axis direction whereby one of the ends of each one of the antennas 11, 13 face toward the target 7.
- the target 7 can be positioned in front of or behind the array 33 in the X-axis direction whereby one of the faces of each one of the antennas 11, 13 face toward the target 7.
- the target 7 can be positioned to one of the sides of the array 33 in the Y-axis direction whereby one of the sides of each one of the antennas 11, 13 face toward the target 7.
- the antenna array 33 is depicted as being disposed substantially in the X- Z plane.
- dimensions of the antennas 11, 13 in the X and Z-axis directions can be considered lateral dimensions, while a dimension of the antennas 11, 13 in the Y-axis direction can be considered a thickness dimension.
- each of the antennas 11, 13 has at least one lateral dimension (measured in the X-axis direction and/or in the Z-axis direction) that is greater than the thickness dimension thereof (in the Y-axis direction).
- the transmit antenna 11 and the receive antenna 13 are each relatively flat or of relatively small thickness in the Y-axis direction compared to at least one other lateral dimension measured in the X-axis direction and/or in the Z-axis direction.
- the sensor and the array 33 may be positioned relative to the target 7 such that the target 7 is below the array 33 in the Z-axis direction or above the array 33 in the Z-axis direction whereby one of the ends of each one of the antennas
- the target 7 can be positioned to the left or right sides of the array 33 in the X-axis direction whereby one of the sides of each one of the antennas
- the target 7 can be positioned in front of or in back of the array 33 in the Y-axis direction whereby one of the faces of each one of the antennas
- the arrays 33, 33a in Figures 2A-2C need not be oriented entirely within a plane such as the X-Y plane, the Y-Z plane or the X-Z plane. Instead, the arrays 33, 33a can be disposed at angles to the X-Y plane, the Y-Z plane and the X-Z plane.
- one technique for decoupling the transmit antenna 11 from the receive antenna 13 is to intentionally configure the transmit antenna 11 and the receive antenna 13 to have intentionally different geometries.
- Intentionally different geometries refers to differences in geometric configurations of the transmit and receive antennas 11, 13 that are intentional, and is distinct from differences in geometry of the transmit and receive antennas
- the different geometries of the antennas 11, 13 may manifest itself, and may be described, in a number of different ways. For example, in a plan view of each of the antennas
- the shapes of the perimeter edges of the antennas 11, 13 may be different from one another.
- the different geometries may result in the antennas 11, 13 having different surface areas in plan view.
- the different geometries may result in the antennas 11, 13 having different aspect ratios in plan view (i.e. a ratio of their sizes in different dimensions; for example, as discussed in further detail below, the ratio of the length divided by the width of the antenna 11 may be different than the ratio of the length divided by the width for the antenna 13).
- the different geometries may result in the antennas 11, 13 having any combination of different perimeter edge shapes in plan view, different surface areas in plan view, and/or different aspect ratios.
- the antennas 11, 13 may have one or more holes formed therein (see Figure 2B) within the perimeter edge boundary, or one or more notches formed in the perimeter edge (see Figure 2B).
- a difference in geometry or a difference in geometrical shape of the antennas 11, 13 refers to any intentional difference in the figure, length, width, size, shape, area closed by a boundary (i.e. the perimeter edge), etc. when the respective antenna 11, 13 is viewed in a plan view.
- the antennas 11, 13 can have any configuration and can be formed from any suitable material that allows them to perform the functions of the antennas 11, 13 as described herein.
- the antennas 11, 13 can be formed by strips of material.
- a strip of material can include a configuration where the strip has at least one lateral dimension thereof greater than a thickness dimension thereof when the antenna is viewed in a plan view (in other words, the strip is relatively flat or of relatively small thickness compared to at least one other lateral dimension, such as length or width when the antenna is viewed in a plan view as in Figures 3A-I).
- a strip of material can include a wire.
- the antennas 11, 13 can be formed from any suitable conductive material(s) including metals and conductive non-metallic materials. Examples of metals that can be used include, but are not limited to, copper or gold. Another example of a material that can be used is non-metallic materials that are doped with metallic material to make the non-metallic material conductive.
- FIGS 2A-2C the antennas 11, 13 within each one of the arrays 33, 33a have different geometries from one another.
- Figures 3A-I illustrate plan views of additional examples of the antennas 11, 13 having different geometries from one another.
- the examples in Figures 2A-2C and 3 A-I are not exhaustive and many different configurations are possible.
- FIG. 3A a plan view of an antenna array having two antennas with different geometries is illustrated.
- one antenna is labeled as the transmit antenna 11 and the other antenna is labeled as the receive antenna 13.
- the antenna labeled as the transmit antenna 11 could be the receive antenna 13
- the antenna labeled as the receive antenna 13 could be the transmit antenna 11.
- Each of the antennas 11, 13 are disposed on the substrate 35 having a planar surface 37.
- the antennas 11, 13 can be formed as linear strips or traces on the surface 37.
- the antenna 11 is generally U-shaped and has a first linear leg 40a, a second linear leg 40b that extends perpendicular to the first leg 40a, and a third linear leg 40c that extends parallel to the leg 40a.
- the antenna 13 is formed by a single leg that extends parallel to, and between, the legs 40a, 40c.
- each one of the antennas 11, 13 has at least one lateral dimension that is greater than a thickness dimension thereof (in Figure 3 A, the thickness dimension would extend into/from the page when viewing Figure 3A).
- the leg 40a of the antenna 11 extends in one direction (i.e. a lateral dimension) an extent that is greater than a thickness dimension of the leg 40a extending into or out of the page;
- the leg 40b of the antenna 11 extends in a direction (i.e. a lateral dimension) an extent that is greater than a thickness dimension of the leg 40b extending into or out of the page;
- the leg 40c of the antenna 11 extends in one direction (i.e.
- the antenna 13 extends in one direction (i.e. a lateral dimension) an extent that is greater than a thickness dimension of the antenna 13 extending into or out of the page.
- the antennas 11, 13 also differ in geometry from one another in that the total linear length of the antenna 11 (determined by adding the individual lengths Li, L2, L3 of the legs 40a-c together) when viewed in plan view is greater than the length L13 of the antenna 13 when viewed in plan view.
- Figure 3B illustrates another plan view of an antenna array having two antennas with different geometries.
- the antennas 11, 13 are illustrated as substantially linear strips each with a lateral length Ln, L13, a lateral width W11, W13, and a perimeter edge E11, E13.
- the perimeter edges Eu, E13 extend around the entire periphery of the antennas 11, 13 and bound an area in plan view.
- the lateral length Ln, L13 and/or the lateral width W11, W13 is greater than a thickness dimension of the antennas 11, 13 extending into/from the page when viewing Figure 3B.
- the antennas 11, 13 differ in geometry from one another in that the shapes of the ends of the antennas 11, 13 differ from one another.
- the right end 42 of the antenna 11 has a different shape than the right end 44 of the antenna 13.
- the left end 46 of the antenna 11 may have a similar shape as the right end 42, but differs from the left end 48 of the antenna 13 which may have a similar shape as the right end 44.
- the lateral lengths Ln, LB and/or the lateral widths Wn, WB of the antennas 11, 13 could differ from one another.
- Figure 3C illustrates another plan view of an antenna array having two antennas with different geometries that is somewhat similar to Figure 3B.
- the antennas 11, 13 are illustrated as substantially linear strips each with the lateral length Ln, Ln, the lateral width Wn, WB, and the perimeter edge En, EB.
- the perimeter edges En, EB extend around the entire periphery of the antennas 11, 13 and bound an area in plan view.
- the lateral length Ln, LB and/or the lateral width Wn, W is greater than a thickness dimension of the antennas 11, 13 extending into/from the page when viewing Figure 3C.
- the antennas 11, 13 differ in geometry from one another in that the shapes of the ends of the antennas 11, 13 differ from one another.
- the right end 42 of the antenna 11 has a different shape than the right end 44 of the antenna 13.
- the left end 46 of the antenna 11 may have a similar shape as the right end 42, but differs from the left end 48 of the antenna 13 which may have a similar shape as the right end 44.
- the lateral widths Wn, WB of the antennas 11, 13 differ from one another. It is also possible that the lateral lengths Ln, Lr of the antennas 11, 13 could differ from one another.
- Figure 3D illustrates another plan view of an antenna array having two antennas with different geometries that is somewhat similar to Figures 3B and 3C.
- the antennas 11, 13 are illustrated as substantially linear strips each with the lateral length Ln, Ln, the lateral width Wn, WB, and the perimeter edge En, En.
- the perimeter edges En, En extend around the entire periphery of the antennas 11, 13 and bound an area in plan view.
- the lateral length Ln, L and/or the lateral width Wn, WB is greater than a thickness dimension of the antennas 11, 13 extending into/from the page when viewing Figure 3D.
- the antennas 11, 13 differ in geometry from one another in that the shapes of the ends of the antennas 11, 13 differ from one another.
- the right end 42 of the antenna 11 has a different shape than the right end 44 of the antenna 13.
- the left end 46 of the antenna 11 may have a similar shape as the right end 42, but differs from the left end 48 of the antenna 13 which may have a similar shape as the right end 44.
- the lateral widths Wn, WB of the antennas 11, 13 differ from one another. It is also possible that the lateral lengths Ln, LB of the antennas 11, 13 could differ from one another.
- Figure 3E illustrates another plan view of an antenna array having two antennas with different geometries on a substrate.
- the antenna 11 is illustrated as being a strip of material having a generally horseshoe shape
- the antenna 13 is illustrated as being a strip of material that is generally linear.
- the planar shapes (i.e. geometries) of the antennas 11, 13 differ from one another.
- the total length of the antenna 11 (measured from one end to the other) when viewed in plan view is greater than the length of the antenna 13 when viewed in plan.
- Figure 3F illustrates another plan view of an antenna array having two antennas with different geometries on a substrate.
- the antenna 11 is illustrated as being a strip of material forming a right angle
- the antenna 13 is also illustrated as being a strip of material that forms a larger right angle.
- the planar shapes (i.e. geometries) of the antennas 11, 13 differ from one another since the total area in plan view of the antenna 13 is greater than the total area in plan view of the antenna 11.
- the total length of the antenna 11 (measured from one end to the other) when viewed in plan view is less than the length of the antenna 13 when viewed in plan.
- Figure 3G illustrates another plan view of an antenna array having two antennas with different geometries on a substrate.
- the antenna 11 is illustrated as being a strip of material forming a square
- the antenna 13 is illustrated as being a strip of material that forms a rectangle.
- the planar shapes (i.e. geometries) of the antennas 11, 13 differ from one another.
- at least one of the width/length of the antenna 11 when viewed in plan view is less than one of the width/length of the antenna 13 when viewed in plan.
- Figure 3H illustrates another plan view of an antenna array having two antennas with different geometries on a substrate.
- the antenna 11 is illustrated as being a strip of material forming a circle when viewed in plan
- the antenna 13 is also illustrated as being a strip of material that forms a smaller circle when viewed in plan surrounded by the circle formed by the antenna 11.
- the planar shapes (i.e. geometries) of the antennas 11, 13 differ from one another due to the different sizes of the circles.
- Figure 31 illustrates another plan view of an antenna array having two antennas with different geometries on a substrate.
- the antenna 11 is illustrated as being a linear strip of material
- the antenna 13 is illustrated as being a strip of material that forms a semi-circle when viewed in plan.
- the planar shapes (i.e. geometries) of the antennas 11, 13 differ from one another due to the different shapes/geometries of the antennas 11, 13.
- FIG. 4A-D are plan views of additional examples of different shapes that the ends of the transmit and receive antennas 11, 13 can have to achieve differences in geometry. Either one of, or both of, the ends of the antennas 11, 13 can have the shapes in Figures 4A-D, including in the embodiments in Figures 3 A-I.
- Figure 4A depicts the end as being generally rectangular.
- Figure 4B depicts the end as having one rounded corner while the other corner remains a right angle.
- Figure 4C depicts the entire end as being rounded or outwardly convex.
- Figure 4D depicts the end as being inwardly concave. Many other shapes are possible.
- Another technique to achieve decoupling of the antennas 11, 13 is to use an appropriate spacing between each antenna 11, 13 with the spacing being sufficient to force most or all of the signal(s) transmitted by the transmit antenna 11 into the target, thereby minimizing the direct receipt of electromagnetic energy by the receive antenna 13 directly from the transmit antenna 11.
- the appropriate spacing can be used by itself to achieve decoupling of the antennas 11, 13.
- the appropriate spacing can be used together with differences in geometry of the antennas 11, 13 to achieve decoupling.
- the spacing D between the transmit antenna 11 and the receive antenna 13 there is a spacing D between the transmit antenna 11 and the receive antenna 13 at the location indicated.
- the spacing D between the antennas 11, 13 may be constant over the entire length (for example in the X-axis direction) of each antenna 11, 13, or the spacing D between the antennas 11, 13 could vary. Any spacing D can be used as long as the spacing D is sufficient to result in most or all of the signal(s) transmitted by the transmit antenna 11 reaching the target and minimizing the direct receipt of electromagnetic energy by the receive antenna 13 directly from the transmit antenna 11, thereby decoupling the antennas 11, 13 from one another.
- the antennas 11, 13 are disposed on one surface of a substrate 50 which can be, for example, a printed circuit board. At least one battery 52, such as a rechargeable battery, is provided above the substrate 50, for providing power to the sensor device 5.
- a digital printed circuit board 54 is provided on which the transmit circuit 15, the receive circuit 17, and the controller 19 and other electronics of the second device 5 can be disposed.
- the substrate 50 and the digital printed circuit board 54 are electrically connected via any suitable electrical connection, such as a flexible connector 56.
- An RF shield 58 may optionally be positioned between the antennas 11, 13 and the battery 52, or between the antennas 11, 13 and the digital printed circuit board 54, to shield the circuitry and electrical components from RF interference.
- each antenna 11, 13 can project below a bottom wall 60 of the housing 29.
- the bottom of each antenna 11, 13 can be level with the bottom wall 60, or they can be slightly recessed from the bottom wall 60.
- the housing 29 of the sensor device 5 can have any configuration and size that one finds suitable for employing in a non-invasive sensor device.
- the housing 29 can have a maximum length dimension LH no greater than 50 mm, a maximum width dimension WH no greater than 50 mm, and a maximum thickness dimension TH no greater than 25 mm, for a total interior volume of no greater than about 62.5 cm 3 .
- the maximum spacing Dmax may be dictated by the maximum size of the housing 29.
- the maximum spacing Dmax can be about 50 mm.
- the minimum spacing Dmin can be from about 1.0 mm to about 5.0 mm.
- a method 70 for detecting at least one analyte in a target is depicted.
- the method in Figure 6 can be practiced using any of the embodiments of the sensor device 5 described herein.
- the sensor device 5 is placed in relatively close proximity to the target. Relatively close proximity means that the sensor device 5 can be close to but not in direct physical contact with the target, or alternatively the sensor device 5 can be placed in direct, intimate physical contact with the target.
- the spacing between the sensor device 5 and the target 7 can be dependent upon a number of factors, such as the power of the transmitted signal.
- the transmit signal is generated, for example by the transmit circuit 15.
- the transmit signal is then provided to the transmit antenna 11 which, at box 74, transmits the transmit signal toward and into the target.
- the receive circuit 17 obtains the detected response from the receive antenna 13 and provides the detected response to the controller 19.
- the detected response can then be analyzed to detect at least one analyte. The analysis can be performed by the controller 19 and/or by the external device 25 and/or by the remote server 27.
- the analysis at box 78 in the method 70 can take a number of forms.
- the analysis can simply detect the presence of the analyte, i.e. is the analyte present in the target.
- the analysis can determine the amount of the analyte that is present.
- the interaction between the transmitted signal and the analyte may, in some cases, increase the intensity of the signal(s) that is detected by the receive antenna, and may, in other cases, decrease the intensity of the signal(s) that is detected by the receive antenna.
- compounds in the target including the analyte of interest that is being detected, can absorb some of the transmit signal, with the absorption varying based on the frequency of the transmit signal.
- the response signal detected by the receive antenna may include drops in intensity at frequencies where compounds in the target, such as the analyte, absorb the transmit signal. The frequencies of absorption are particular to different analytes.
- the response signal(s) detected by the receive antenna can be analyzed at frequencies that are associated with the analyte of interest to detect the analyte based on drops in the signal intensity corresponding to absorption by the analyte based on whether such drops in signal intensity are observed at frequencies that correspond to the absorption by the analyte of interest.
- a similar technique can be employed with respect to increases in the intensity of the signal(s) caused by the analyte.
- Detection of the presence of the analyte can be achieved, for example, by identifying a change in the signal intensity detected by the receive antenna at a known frequency associated with the analyte.
- the change may be a decrease in the signal intensity or an increase in the signal intensity depending upon how the transmit signal interacts with the analyte.
- the known frequency associated with the analyte can be established, for example, through testing of solutions known to contain the analyte.
- Determination of the amount of the analyte can be achieved, for example, by identifying a magnitude of the change in the signal at the known frequency, for example using a function where the input variable is the magnitude of the change in signal and the output variable is an amount of the analyte.
- the determination of the amount of the analyte can further be used to determine a concentration, for example based on a known mass or volume of the target.
- presence of the analyte and determination of the amount of analyte may both be determined, for example by first identifying the change in the detected signal to detect the presence of the analyte, and then processing the detected signal(s) to identify the magnitude of the change to determine the amount.
- Figure 8 is a flowchart of a method of providing an automated response to detection of one or more analytes according to an embodiment.
- the method 90 can include detecting one or more analytes 92, determining an action to take 94, providing an instruction directing the determined action 96, and taking the action 98.
- the method 90 can be performed continuously, repeated iteratively, performed according to a predetermined schedule or sampling frequency, or when triggered by an event or a user prompt.
- One or more analytes are detected at 92.
- the one or more analytes can include any of the analytes described herein.
- the detection of the one or more analytes at 92 can be performed using any of the sensors described herein.
- the detection of the one or more analytes can include detection of a presence and/or an amount of each of the one or more analytes.
- Each of the one or more analytes can be detected according to any of the methods described herein.
- Determination of an action to take occurs at 94.
- the action can be any suitable response to detection of one or more analytes that can be implemented by one or more control devices.
- the action can modify one or more properties of the medium or components thereof such as the at least one analyte of interest.
- the properties that can be affected by the action determined at 94 include, for example, physical properties such as density, shape, distributions of different materials, or viscosity, chemical properties such as the stereochemistry of one or more materials, temperatures, electrical properties such as resistivity, or the like.
- the properties can be altered, for example, by using mechanical devices to move or stir the materials or to alter shape of a vessel containing the medium, adding additives to the medium, directing the medium through one or more filters, or any other such suitable action based on the desired response to the detection of the at least one analyte, the one or more properties to be affected in such a response, and mechanical acts and/or chemical interactions usable to produce the effects on the one or more properties.
- the action can be determined at 94 based on the particular application, the one or more analytes being detected, and the capabilities of the automated controls.
- the action can be an amount or rate for the supply of insulin.
- the action directly affects an amount of one or more of the analytes, for example, increasing or decreasing a flow of the analyte into a medium through, for example, a valve on a line providing the analyte.
- the action is a response to the detection of the analyte, for example shutting off a flow of a medium using, for example, a valve, a controllable duct, or the like when the presence of an analyte indicates contamination in the medium.
- the action can indirectly affect the amount of one or more of the analytes, for example operation of an insulin pump to supply insulin when blood glucose is above an upper boundary or to reduce the supply of insulin when blood glucose is below a lower boundary.
- controls indirectly affecting levels of the one or more analytes can include controlling the addition of precursors or catalysts to a reaction mixture, adding biocides to reduce bacteria or other biological contaminants, or any other suitable control that does not directly control a supply of the one or more analytes, but can trigger a change in the levels of those analytes in a medium.
- the action can be determined at 94 based on logic relating to the presence and/or amount of the one or more analytes detected at 92.
- the determination of the action can be performed, for example, at the device including the sensor used to detect the one or more analytes at 92, a local device separate from but located in proximity to the device including the sensor, a remote server such as a cloud server, or any other suitable device including a controller configured to determine the action.
- the logic can include, for example, upper and/or lower boundaries for the one or more analytes, one or more target quantities for the one or more analytes, conditional logic based on the presence or absence of the one or more analytes detected at 92, or any other suitable logic allowing a controller to associate the one or more analytes detected at 92 with actions responsive to the detection.
- the logic can include multiple different actions associated with different amounts or presences of the one or more analytes. For example, the logic can include both an upper boundary and a lower boundary for, each with a different associated action.
- the logic can include particular values for particular parameters, for example associating particular settings for a variable control, such as a flow rate or aperture size through a controllable valve, a particular dosage of a medical composition such as insulin or a drug, or the like, with particular levels of one or more analytes.
- a variable control such as a flow rate or aperture size through a controllable valve
- a particular dosage of a medical composition such as insulin or a drug, or the like
- the association of levels of the one or more analytes with particular setting for variable controls can be made, for example, through formulae, lookup tables, or any other suitable method.
- an instruction directing the determined action is provided 96.
- the instruction can be any suitable command to direct taking of the action determined at 94.
- the instruction can be provided at 96 by conveying the command to the device taking action, for example by a wired connection, any suitable wireless communications, or combinations thereof.
- One more devices may be involved in conveying the command, such as a remote server conveying the command to a local device that then conveys the instruction to the device taking action.
- the action can be taken at 98 by operating any suitable device according to the instruction provided at 96, such as opening or closing one or more valves, moving one or more vanes, replacing filters, or adjusting a flow of a material into the medium.
- the material can be a material reactive with a component in the medium such as the at least one analyte of interest.
- the material can be a material capable of affecting properties of the medium such as density, viscosity, or resistivity of the medium, such as an additive.
- the action can be heating or cooling the medium.
- the action can include heating the medium using a heating element, heat lamp, or other suitable heat source.
- the action can include cooling the medium, for example using a refrigeration circuit, addition of materials at relatively lower temperature than the medium, or other suitable device or technique for cooling the medium.
- the action taken is as adjusting an output rate or amount of insulin provided by an insulin pump.
- the data obtained by the sensor 5 needs to be analyzed, for example by determining an action to take based on said data as described above, and causing that action to be automatically performed.
- the analysis can occur on the sensor 5 or on one or more devices or systems separate from the sensor 5.
- the term devices or systems is intended to be construed broadly as encompassing any type of devices or systems that can analyze the data obtained by the sensor 5.
- Examples of devices or system that can be used to analyze the data include, but are not limited to, hardware-based computing devices or systems; cloud-based computing devices or systems; machine learning devices or systems including active learning devices or systems; artificial intelligence-based devices or systems; neural network-based devices or systems; combinations thereof; and any other types of devices and systems that are suitable for analyzing the data.
- the devices can be located at any suitable location, incorporated into a device including sensor 5, or in a separate device local to or remote from sensor 5.
- the output signal(s) is generated by the device(s) or system(s) that analyze the data.
- the output signal(s) is directed to one or more other devices or systems that implement an action based on the output signal(s).
- the output signal(s) is directed to one or more machine(s) or system(s), for example a valve or a medical device such as an insulin pump, that modifies the operation of the machine(s) or system(s).
- the output signal(s) can be stored in a suitable data storage separately from, or in addition to, being sent to one or more machines or systems, for example to log actions directed by the system.
- Figure 9 illustrates one non-limiting example of a system 100 configured to automatically carry out an action.
- sensor 5 analyzes a medium 102 and generates an output signal that is sent to a control device 104 included in the system 100.
- the output signal may pass to remote device 106 prior to reaching control device 104.
- Medium 102 is a medium in which one or more analytes may be present.
- Medium 102 can be any medium possibly containing the one or more analytes.
- Medium 102 can include, but is not limited to, human tissue, animal tissue, plant tissue, an inanimate object, soil, a fluid, genetic material, or a microbe.
- medium 102 is a flow of a fluid, such as flow of a compound through a fluid line, blood flow within a person or animal, or the like.
- medium 102 is fluid located within a vessel, such as a beaker, cuvette, sample storage container, reaction bag or vessel, or any other such suitable vessel for containing the fluid.
- Non-limiting examples of medium 102 can include, for example, samples for analysis or screening such as blood samples, reaction mixtures or additions thereto such as chemical feed stocks, process outputs such as output flows from chemical reactors, drugs for administration to patients such as fluid for intravenous (IV) delivery, fluids upstream and/or downstream of filters, or any other medium where the presence or amount of an analyte can be responded to through automated controls.
- samples for analysis or screening such as blood samples, reaction mixtures or additions thereto such as chemical feed stocks
- process outputs such as output flows from chemical reactors
- drugs for administration to patients such as fluid for intravenous (IV) delivery, fluids upstream and/or downstream of filters, or any other medium where the presence or amount of an analyte can be responded to through automated controls.
- IV intravenous
- Control device 104 is configured to act in response to a command.
- the control device 104 can be connected, directly or indirectly, to the system 100.
- control device 104 is configured to wirelessly receive the command from either sensor 5 or separate device 106.
- the control device can be any suitable device, such as a mechanical device, heating or cooling device, or the like, for carrying out an action determined based on detection or amounts of one or more analytes.
- Non-limiting examples of control device 104 include, for example, valves, pumps, flow directors, fluid metering devices, fans, heat exchangers, heating elements, or the like.
- control device 104 can control a flow that then interacts with medium 102.
- medium 102 can be a reaction mixture and control device 104 can control a flow of a compound that is being added to the medium 102, such as a particular reagent used in the reaction mixture.
- control device 104 can control flow of the medium 102 itself.
- control device 104 controlling the flow of medium 102 can operate to stop a flow of medium 102 if a contaminant is detected therein.
- control device 104 is an insulin pump.
- the control device 104 can respond to a command to automatically perform an action based on the detection of the one or more analytes.
- the action can be any suitable action to be taken by the control device 104.
- Non-limiting examples of actions taken by control device 104 include opening or closing a valve, moving an adjustable valve to a particular aperture size or flow setting, activating or deactivating a pump, setting a flow rate for a pump, selecting a duct or fluid line that a flow director allows flow to enter, providing heating or cooling to medium 102 setting a delivery rate for a controlled IV drip or an insulin pump, or the like.
- multiple control devices 104 can each take particular actions based on detection of the one or more analytes, producing a composite response.
- control device 104 can be co-located in a same device as sensor 5. In another embodiment, the control device 104 can be physically separate from the sensor 5. In an embodiment, processing of signals from sensor 5 to determine action to be taken at control device 104 can be performed at the device including sensor 5. In an embodiment, processing of signals from sensor 5 to determine action to be taken at a control device 104 can be performed at a controller included in control device 104. In an embodiment, the processing of signals can be performed at a controller included in a separate device 106 that is separate from both the control device 104 and the sensor 5. In an embodiment, the separate device 106 is remote from both the sensor 5 and the control device 104, for example being a cloud server.
- the separate device may be in physical proximity to the sensor 5 or the control device 104, for example being a controller for a process located in the same building or along a production line where sensor 5 is located, or, as further non-limiting examples, a mobile device such as a smart phone, tablet, computer, or the like.
- the processing of signals from sensor 5 results in a command for the control device 104 to implement.
- Sensor 5, control device 104, and optionally separate device 106 can respectively communicate with one another through any suitable wired connection or, as shown in the embodiment in Figure 9, wireless communications or data connections such as Bluetooth, cellular data communications such 4G, 5G, LTE or the like, or Wi-Fi.
- Figure 10 illustrates one non-limiting example of a system configured to automatically control an insulin pump.
- Sensor 5 is in proximity to subject 140, for example, being on a strap worn on the wrist of subject 140.
- sensor 5 is configured to detect blood glucose levels in subject 140.
- the subject 140 has an insulin pump 142, configured to deliver insulin when subject 140 is in need thereof.
- the insulin pump 142 is configured to receive data and control the administration of insulin based on the data.
- the data can be a blood glucose level measured by the sensor 5, or a command regarding the administration of insulin based on the blood glucose level measured by the sensor 5.
- the data can be received at the insulin pump 142 directly from sensor 5.
- the data can be the measurement of blood glucose to be processed at insulin pump 142, or a signal processed at one or both of the sensor 5 and the insulin pump 142 to determine the control of the administration of insulin by insulin pump 142.
- sensor 5 can communicate separate device 106, which can receive the data from sensor 5, and convey data to insulin pump 142. Separate device 106 can perform at least some processing of the data, for example receiving a blood glucose level from sensor 5 and processing the blood glucose level to determine the command for administering insulin from insulin pump 142.
- Sensor 5 insulin pump 142, and optionally separate device 106 can respectively communicate with one another through any suitable wired connection or, as shown in the embodiment in Figure 10, wireless communications or data connections such as Bluetooth, cellular data communications such 4G, 5G, LTE or the like, or Wi-Fi.
- wireless communications or data connections such as Bluetooth, cellular data communications such 4G, 5G, LTE or the like, or Wi-Fi.
- An analyte sensing and response system can include: a sensor configured to detect at least one analyte in a medium, the sensor including: a sensor housing; a decoupled detector array attached to the sensor housing, the decoupled detector array having at least one transmit element and at least one receive element; the at least one transmit element consists of a strip of conductive material having at least one lateral dimension thereof greater than a thickness dimension thereof, the strip of conductive material of the at least one transmit element is disposed on a substrate; the at least one receive element consists of a strip of conductive material having at least one lateral dimension thereof greater than a thickness dimension thereof, the strip of conductive material of the at least one receive element is disposed on a substrate; a transmit circuit attached to the sensor housing, the transmit circuit is electrically connectable to the at least one transmit element, the transmit circuit is configured to generate a transmit signal to be transmitted by the at least one transmit element into the medium, the transmit signal is in a radio or microwave frequency range of the electromagnetic spectrum; and a
- the analyte sensing and response system can also include: a valve that is connected to and controlled by a signal from the controller, and the valve controls a flow of the at least one analyte into the medium, and wherein the action includes the controller controlling the valve to increase or decrease the flow of the at least one analyte into the medium; a valve that is connected to and controlled by a signal from the controller, and the valve controls a flow of a one or more chemicals into the medium that interact with the at least one analyte to affect the property of the at least one analyte or the medium, and wherein the action includes the controller controlling the valve to increase or decrease the flow of the one or more chemicals into the medium; a mechanical device that is connected to and controlled by a signal from the controller, and the mechanical device is configured to control a level of the at least one analyte in the medium based on the signal received from the controller; a heating or cooling device that is connected to and controlled by a signal from the controller, and the heating or
- the controller can be included in a device separate from the sensor.
- the device separate from the sensor may be configured to receive information regarding the at least one analyte from the sensor.
- the information regarding the at least one analyte may be a presence or amount of the at least one analyte
- the controller may be further configured to determine the action based on the presence or amount of the at least one analyte.
- the sensor may include a second controller that is configured to determine the action to be directed by the controller, and the information regarding the at least one analyte includes the action to be directed by the controller.
- there may be a remote server in communication with the sensor wherein the remote server is configured to receive information regarding the at least one analyte from the sensor and to communicate a command to the controller.
- a method can include non-invasively detecting at least one analyte in a medium, wherein non-invasively detecting the at least one analyte comprises: generating a transmit signal having at least two different frequencies each of which falls within a range of between about 10 kHz to about 100 GHz; transmitting the transmit signal from at least one transmit antenna into the medium; and detecting a response resulting from transmitting the transmit signal by the at least one transmit antenna into the medium using at least one receive antenna; determining a presence or an amount of the at least one analyte based on the response; determining, at a controller, an automated action based on the presence or the amount of the at least analyte; and directing a control device to perform the automated action.
- the method can also include: the automated action increasing or decreasing a flow of the at least one analyte into the medium; the automated action increasing or decreasing a flow into the medium of one or more chemicals other than the at least one analyte; the automated action increasing or decreasing a temperature of the medium and/or the at least one analyte; the automated action increasing or decreasing a supply of insulin provided by an insulin pump.
- the analyte that is detected can comprise glucose, and the medium containing the analyte can be interstitial fluid.
- Non-invasively detecting the at least one analyte can comprise using a sensor, and the controller and the sensor are included in one device.
- non-invasively detecting the at least one analyte can comprise using a sensor, and the controller is in a device separate from the sensor.
- the device separate from the sensor can be a remote server. The device separate from the sensor may include the control device.
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Veterinary Medicine (AREA)
- Primary Health Care (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Epidemiology (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Optics & Photonics (AREA)
- Emergency Medicine (AREA)
- General Business, Economics & Management (AREA)
- Business, Economics & Management (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Description
Claims
Priority Applications (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2021340286A AU2021340286A1 (en) | 2020-09-09 | 2021-09-01 | Non-invasive analyte sensor and automated response systems and methods |
EP21866168.4A EP4210575A4 (en) | 2020-09-09 | 2021-09-01 | Non-invasive analyte sensor and automated response systems and methods |
JP2023515574A JP2023540368A (en) | 2020-09-09 | 2021-09-01 | Non-invasive sensors and automated response systems and methods |
CA3191392A CA3191392A1 (en) | 2020-09-09 | 2021-09-01 | Non-invasive analyte sensor and automated response systems and methods |
CN202180062004.0A CN116075266A (en) | 2020-09-09 | 2021-09-01 | Non-invasive analyte sensor and automated response system and method |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US202063076120P | 2020-09-09 | 2020-09-09 | |
US202063076134P | 2020-09-09 | 2020-09-09 | |
US63/076,120 | 2020-09-09 | ||
US63/076,134 | 2020-09-09 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022053913A1 true WO2022053913A1 (en) | 2022-03-17 |
Family
ID=80629772
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2021/057989 WO2022053913A1 (en) | 2020-09-09 | 2021-09-01 | Non-invasive analyte sensor and automated response systems and methods |
Country Status (6)
Country | Link |
---|---|
EP (1) | EP4210575A4 (en) |
JP (1) | JP2023540368A (en) |
CN (1) | CN116075266A (en) |
AU (1) | AU2021340286A1 (en) |
CA (1) | CA3191392A1 (en) |
WO (1) | WO2022053913A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IT202200015315A1 (en) | 2022-07-21 | 2024-01-21 | In & Tec Srl | HYDRAULIC HINGE FOR THE CONTROLLED ROTARY MOVEMENT OF A DOOR OR LEAF |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20150050562A (en) * | 2012-08-30 | 2015-05-08 | 메드트로닉 미니메드 인코포레이티드 | Safeguarding measures for a closed-loop insulin infusion system |
CN104739419A (en) * | 2015-03-19 | 2015-07-01 | 深圳市一体太赫兹科技有限公司 | System for regulating blood sugars |
CN204995483U (en) * | 2015-07-10 | 2016-01-27 | 杭州电子科技大学 | Have insulin cold storage plant that blood sugar detected concurrently |
US20180153520A1 (en) * | 2015-11-27 | 2018-06-07 | Rinat O. Esenaliev | Wearable, noninvasive glucose sensing methods and systems |
US20190290161A1 (en) * | 2018-03-22 | 2019-09-26 | Arnold Chase | Blood glucose tracking system |
US20190357800A1 (en) * | 2018-05-08 | 2019-11-28 | Know Labs, Inc. | Health related diagnostics employing spectroscopy in radio / microwave frequency band |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170164878A1 (en) * | 2012-06-14 | 2017-06-15 | Medibotics Llc | Wearable Technology for Non-Invasive Glucose Monitoring |
US11576586B2 (en) * | 2018-12-18 | 2023-02-14 | Movano Inc. | Methods for radio wave based health monitoring that utilize data derived from amplitude and/or phase data |
-
2021
- 2021-09-01 WO PCT/IB2021/057989 patent/WO2022053913A1/en unknown
- 2021-09-01 AU AU2021340286A patent/AU2021340286A1/en active Pending
- 2021-09-01 CN CN202180062004.0A patent/CN116075266A/en active Pending
- 2021-09-01 CA CA3191392A patent/CA3191392A1/en active Pending
- 2021-09-01 EP EP21866168.4A patent/EP4210575A4/en active Pending
- 2021-09-01 JP JP2023515574A patent/JP2023540368A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20150050562A (en) * | 2012-08-30 | 2015-05-08 | 메드트로닉 미니메드 인코포레이티드 | Safeguarding measures for a closed-loop insulin infusion system |
CN104739419A (en) * | 2015-03-19 | 2015-07-01 | 深圳市一体太赫兹科技有限公司 | System for regulating blood sugars |
CN204995483U (en) * | 2015-07-10 | 2016-01-27 | 杭州电子科技大学 | Have insulin cold storage plant that blood sugar detected concurrently |
US20180153520A1 (en) * | 2015-11-27 | 2018-06-07 | Rinat O. Esenaliev | Wearable, noninvasive glucose sensing methods and systems |
US20190290161A1 (en) * | 2018-03-22 | 2019-09-26 | Arnold Chase | Blood glucose tracking system |
US20190357800A1 (en) * | 2018-05-08 | 2019-11-28 | Know Labs, Inc. | Health related diagnostics employing spectroscopy in radio / microwave frequency band |
Non-Patent Citations (1)
Title |
---|
See also references of EP4210575A4 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
IT202200015315A1 (en) | 2022-07-21 | 2024-01-21 | In & Tec Srl | HYDRAULIC HINGE FOR THE CONTROLLED ROTARY MOVEMENT OF A DOOR OR LEAF |
Also Published As
Publication number | Publication date |
---|---|
EP4210575A4 (en) | 2024-10-02 |
EP4210575A1 (en) | 2023-07-19 |
CA3191392A1 (en) | 2022-03-17 |
JP2023540368A (en) | 2023-09-22 |
AU2021340286A1 (en) | 2023-04-06 |
CN116075266A (en) | 2023-05-05 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11389091B2 (en) | Methods for automated response to detection of an analyte using a non-invasive analyte sensor | |
US11330997B2 (en) | Detection of an analyte using different combinations of detector elements that can transmit or receive | |
US11031970B1 (en) | Non-invasive analyte sensor and system with decoupled and inefficient transmit and receive antennas | |
US11063373B1 (en) | Non-invasive analyte sensor and system with decoupled transmit and receive antennas | |
US11510597B2 (en) | Non-invasive analyte sensor and automated response system | |
US11234619B2 (en) | Non-invasive detection of an analyte using decoupled transmit and receive antennas | |
US11058331B1 (en) | Analyte sensor and system with multiple detector elements that can transmit or receive | |
US20210186356A1 (en) | Non-invasive detection of an analyte using decoupled and inefficient transmit and receive antennas | |
US11689274B2 (en) | Systems for determining variability in a state of a medium | |
US11832926B2 (en) | Non-invasive detection of an analyte and notification of results | |
US20210186357A1 (en) | Non-invasive analyte sensor device | |
US12023151B2 (en) | Non-invasive analyte sensing and notification system with decoupled transmit and receive antennas | |
US11193923B2 (en) | Detection of an analyte using multiple elements that can transmit or receive | |
US12051858B2 (en) | Methods for determining variability of a state of a medium | |
US12089927B2 (en) | Non-invasive analyte sensing and notification system with decoupled and inefficient transmit and receive antennas | |
WO2022167884A1 (en) | Fixed operation time frequency sweeps for an analyte sensor | |
WO2022229804A1 (en) | Antenna array for a non-invasive analyte sensor | |
EP4210575A1 (en) | Non-invasive analyte sensor and automated response systems and methods | |
WO2021124275A1 (en) | Non-invasive analyte sensing and system with decoupled and inefficient transmit and receive antennas | |
EP4211461A1 (en) | Systems and methods for analyzing in vitro flowing fluids and determining variability in a state of a medium | |
WO2021156734A1 (en) | Analyte sensor and system with multiple detector elements that can transmit or receive |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 21866168 Country of ref document: EP Kind code of ref document: A1 |
|
ENP | Entry into the national phase |
Ref document number: 3191392 Country of ref document: CA |
|
ENP | Entry into the national phase |
Ref document number: 2023515574 Country of ref document: JP Kind code of ref document: A |
|
ENP | Entry into the national phase |
Ref document number: 2021340286 Country of ref document: AU Date of ref document: 20210901 Kind code of ref document: A |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2021866168 Country of ref document: EP Effective date: 20230411 |