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Search Results (330)

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17 pages, 3225 KiB  
Article
Photodegradation of Propaquizafop in Water Under UV Irradiation: The Identification of Transformation Products and Elucidation of Photodegradation Pathway
by Zhijia Cheng, Zhongbin Lu, Zhiwei Shao, Bowen Huang, Yang Xiong, Hongqiang Fei, Xian Wu, Yanwei Liu, Mei Li, Zhiguang Hou and Zongzhi Lu
Agronomy 2024, 14(12), 2959; https://doi.org/10.3390/agronomy14122959 - 12 Dec 2024
Viewed by 349
Abstract
The photolysis kinetics of propaquizafop in water under ultraviolet light was investigated in this study, and the effects of different influencing factors (pH, NO3, metal ions) on the photolysis of propaquizafop were clarified. Propaquizafop residues in water were determined [...] Read more.
The photolysis kinetics of propaquizafop in water under ultraviolet light was investigated in this study, and the effects of different influencing factors (pH, NO3, metal ions) on the photolysis of propaquizafop were clarified. Propaquizafop residues in water were determined by a HPLC-UV detector. The results showed that the pH of the aqueous solution had no significant effect on the photolysis of propaquizafop (p < 0.05). The low NO3, concentration (0.5~2 mmol/L) had a weak inhibitory effect on the photolysis of the propaquizafop; when the concentration of NO3 was 4 mmol/L, the degradation half-life of the propaquizafop was significantly higher than with other treatments (p < 0.05); Different concentrations of Fe3+ had varying degrees of inhibitory effects on the photolysis of propaquizafop. The inhibitory effect was stronger at low concentrations (0.5 mmol/L and 1 mmol/L) and weaker at high concentrations (2 mmol/L and 4 mmol/L). As the concentrations of Cu2+, Cd2+, Mn2+, Zn2+, and Ni2+ increased, their inhibitory effect on the photolysis of propaquizafop in an aqueous solution became stronger. In addition, LC–QTOF-MS was used to identify the photoproducts of propaquizafop in aqueous solution in this study. Five types of photoproducts were identified, and several propaquizafop degradation pathways and mechanisms were proposed, mainly including rearrangement, cracking reactions, dechlorination reactions, and light-induced redox reactions. The results of this study will help us to better understand the photodegradation law of propaquizafop in aqueous solution and provide data support for its safety evaluation in water. Full article
(This article belongs to the Section Pest and Disease Management)
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<p>Photolysis half-lives of propaquizafop at different <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="normal">N</mi> <mi mathvariant="normal">O</mi> </mrow> <mrow> <mn>3</mn> </mrow> <mrow> <mo>−</mo> </mrow> </msubsup> </mrow> </semantics></math> concentrations. The letters in the figure represent significant differences at the 0.05 level. The same below.</p>
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<p>The photolysis half-lives of propaquizafop under different metal ions. ((<b>A</b>) The half-life at different concentrations of Fe<sup>3+</sup>; (<b>B</b>) The half-life at different concentrations of Cu<sup>2+</sup>; (<b>C</b>) The half-life at different concentrations of Cd<sup>2+</sup>, (<b>D</b>) The half-life at different concentrations of Mn<sup>2+</sup>, (<b>E</b>) The half-life at different concentrations of Zn<sup>2+</sup>, (<b>F</b>) The half-life at different concentrations of Ni<sup>2+</sup>). The lowercase letters in the figure represent significant differences at the 0.05 level. The following picture is the same.</p>
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<p>Secondary mass spectrometry fragmentation path of photodissociation product M1.</p>
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<p>Secondary mass spectrometry fragmentation path of photodissociation product M2.</p>
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<p>Secondary mass spectrometry fragmentation path of photodissociation product M3.</p>
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<p>Secondary mass spectrometry fragmentation path of photodissociation product M4.</p>
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<p>Secondary mass spectrometry fragmentation path of photodissociation product M5.</p>
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<p>Proposed photodegradation pathway of propaquizafop and mechanism for the formation of its degradation products in aqueous solution.</p>
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16 pages, 3131 KiB  
Article
Comparison of Untargeted and Markers Analysis of Volatile Organic Compounds with SIFT-MS and SPME-GC-MS to Assess Tea Traceability
by Marine Reyrolle, Valérie Desauziers, Thierry Pigot, Lydia Gautier and Mickael Le Bechec
Foods 2024, 13(24), 3996; https://doi.org/10.3390/foods13243996 - 11 Dec 2024
Viewed by 402
Abstract
Tea is one of the most consumed beverages in the world and presents a great aromatic diversity depending on the origin of the production and the transformation process. Volatile organic compounds (VOCs) greatly contribute to the sensory perception of tea and are excellent [...] Read more.
Tea is one of the most consumed beverages in the world and presents a great aromatic diversity depending on the origin of the production and the transformation process. Volatile organic compounds (VOCs) greatly contribute to the sensory perception of tea and are excellent markers for traceability and quality. In this work, we analyzed the volatile organic compounds (VOCs) emitted by twenty-six perfectly traced samples of tea with two analytical techniques and two data treatment strategies. First, we performed headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC-MS) as the most widely used reference method for sanitary and quality controls of food. Next, we analyzed the samples with selected-ion flow-tube mass spectrometry (SIFT-MS), an emerging method for direct analysis of food products and aroma. We compared the performances of both techniques to trace the origin and the transformation processes. We selected the forty-eight most relevant markers with HS-SPME-GC-MS and evaluated their concentrations with a flame ionization detector (FID) on the same instrument. This set of markers permitted separation of the origins of samples but did not allow the samples to be differentiated based on the color. The same set of markers was measured with SIFT-MS instrument without success for either origin separation or color differentiation. Finally, a post-processing treatment of raw data signals with an untargeted approach was applied to the GC-MS and SIFT-MS dataset. This strategy allowed a good discrimination of origin and color with both instruments. Advantages and drawbacks of volatile profiles with both instruments were discussed for the traceability and quality assessment of food. Full article
(This article belongs to the Special Issue Tea: Processing Techniques, Flavor Chemistry and Health Benefits)
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<p>Individual plots of PLS-DA for country discrimination. (<b>A</b>) PC1 and PC2 plot for the GC-FID data. (<b>B</b>) PC2 and PC3 plot for the GC-FID data. (<b>C</b>) PC1 and PC2 plot for the SIFT-MS data. (<b>D</b>) PC2 and PC3 plot for the SIFT-MS data.</p>
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<p>Individual plots of sparse PLS-DA for color discrimination. (<b>A</b>) PC1 and PC2 plot for the GC-FID data. (<b>B</b>) PC1 and PC2 plot for the SIFT-MS data.</p>
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<p>Individual plots of sparse PLS-DA for country discrimination. (<b>A</b>) PC1 and PC2 plot for the volatiles profile obtained by GC-MS/FID. (<b>B</b>) PC2 and PC3 plot for the volatiles profile obtained by GC-MS/FID. (<b>C</b>) PC1 and PC2 plot for the volatile profile obtained by SIFT-MS. (<b>D</b>) PC2 and PC3 plot for the volatiles profile obtained by SIFT-MS.</p>
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<p>Individual plots of sparse PLS-DA for color discrimination. (<b>A</b>) PC1 and PC2 plot for the volatiles profile obtained by GC-MS/FID. (<b>B</b>) PC2 and PC3 plot for the volatiles profile obtained by GC-MS/FID. (<b>C</b>) PC1 and PC2 plot for the volatiles profile obtained by SIFT-MS. (<b>D</b>) PC1 and PC2 plot for the volatiles profile obtained by the SIFT-MS data.</p>
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15 pages, 5707 KiB  
Article
Space Environment Monitoring Unit on Wentian Laboratory Cabin Module of China Space Station
by Huanxin Zhang, Guohong Shen, Donghui Hou, Shenyi Zhang, Chunqin Wang, Ying Sun, Liping Wang and Jiajie Liao
Aerospace 2024, 11(12), 1006; https://doi.org/10.3390/aerospace11121006 - 5 Dec 2024
Viewed by 373
Abstract
This article introduces the design and development of a space environment monitoring unit embedded in the versatile experimental assembly for electronic components outside the China space station’s Wentian laboratory cabin module. A newly designed comprehensive detection system is being used for the first [...] Read more.
This article introduces the design and development of a space environment monitoring unit embedded in the versatile experimental assembly for electronic components outside the China space station’s Wentian laboratory cabin module. A newly designed comprehensive detection system is being used for the first time in this kind of detector. The sensor head of the instrument includes a silicon telescope (composed of two silicon semiconductors) for measuring the LET spectrum and radiation dose rate, a typical chip for monitoring a single-event upset, and a CR-39 plastic nuclear track detector for detecting heavy ion tracks. The two silicon sensors stacked up and down are used for measuring the LET spectrum, which ranges from 0.001 to 100 MeV·cm2/mg. A sensor charge allocation method is adopted to divide the detection range into four cascaded levels, each achieving different detection ranges separately and then concatenated together, while traditional detection methods need multiple sets of probes to achieve the same dynamic range. At the same time, using the two sensors mentioned above, the silicon absorption dose rate under two different shielding thicknesses can be obtained through calculation, ranging from 10−5 to 10−1 rad (Si)/h. Multiple calibration methods are applied on the ground. The preliminary in-orbit detection results are provided and compared with the simulation results obtained using the existing space environment model, and we analyze and discuss their differences. Full article
(This article belongs to the Special Issue Deep Space Exploration)
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<p>Installation of VEA on Wentian laboratory cabin module.</p>
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<p>A photo of the space environment monitoring unit.</p>
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<p>Block diagram of the overall design of the SEMU.</p>
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<p>Electronic block diagram of the SEMU.</p>
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<p>Schematic diagram of the detection principle of the LET spectrum.</p>
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<p>Schematic diagram of charge allocation circuit.</p>
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<p>Schematic diagram of internal structure of the SDRAM.</p>
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<p>Definition of energy resolution.</p>
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<p>Calibration data (black points) and Gaussian fitting curve (red).</p>
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<p>The energy linearity at high gain.</p>
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<p>Spatial distribution of SEMU-D1 radiation dose (3 days of dose).</p>
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<p>Spatial distribution of SEMU-D2 radiation dose (3 days of dose).</p>
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<p>Dose calculated by AP8/AE8 semi-infinite model (for 1 year).</p>
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<p>Comparison of in-orbit LET results and simulated data by model.</p>
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15 pages, 2039 KiB  
Article
Paralytic Shellfish Poisoning (PSP) Toxins in Bivalve Molluscs from Southern Italy Analysed by Liquid Chromatography Coupled with High-Resolution Mass Spectrometry (UHPLC-HRMS/MS)
by Pasquale Gallo, Sara Lambiase, Ida Duro, Mauro Esposito and Angela Pepe
Toxins 2024, 16(11), 502; https://doi.org/10.3390/toxins16110502 - 20 Nov 2024
Viewed by 844
Abstract
A new method for simultaneous determination by liquid chromatography coupled with high resolution mass spectrometry (UHPLC-HRMS/MS) of 14 paralytic shellfish poisoning toxins (PSP), that is, Saxitoxin, Neosaxitoxin, Gonyautoxins and their respective variants, in bivalve molluscs, is herein described. The samples were extracted by [...] Read more.
A new method for simultaneous determination by liquid chromatography coupled with high resolution mass spectrometry (UHPLC-HRMS/MS) of 14 paralytic shellfish poisoning toxins (PSP), that is, Saxitoxin, Neosaxitoxin, Gonyautoxins and their respective variants, in bivalve molluscs, is herein described. The samples were extracted by acetic acid solution, then analysed by UHPLC coupled with a Q-Exactive Orbitrap Plus high resolution mass spectrometer, by electrospray ionization mode (ESI) with no further clean up step. The analysis was carried out by monitoring both the exact mass of the molecular precursor ion of each compound (in mass scan mode, resolution at 70,000 FWHM) and its respective fragmentation patterns (two product ions) with mass accuracy greater than 5 ppm. The analytical performance of the method was evaluated calculating trueness, as mean recoveries of each biotoxin, between 77.8% and 111.9%, a within-laboratory reproducibility (RSDR) between 3.6% and 12.2%, the specificity, the linearity of detector response, and the ruggedness for slight changes The results of the validation study demonstrate this method fits for the purposes of the official control of PSP toxins in molluscs. The results of two years of monitoring in local mussel farms are also reported, showing that no significant concerns for food safety in the monitored productions. Full article
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<p>UHPLC-HRMS tSIM chromatograms, in negative and positive ion mode, of the 14 PSP toxins studied in a matrix-matched standard solution at 25–211 ng mL<sup>−1</sup>.</p>
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<p>The ddMS2 spectra of the 14 PSP toxins studied in a matrix-matched standard solution at 25–211 ng mL<sup>−1</sup>. The accurate mass of the product ions of each PSP toxin is shown in the circles.</p>
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<p>Flow diagram comparing the UHPLC-HRMS/MS method and the reference Lawrence method n. AOAC 2005.06. The SPE-COOH cleanup (3) is used only for extracts containing N-1-hydroxylated PSP toxins.</p>
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<p>The location of the 19 mussel farms along the coasts of Campania Region (map from our Food Safety Regional Observatory—ORSA data bank); they are numbered according to the identification numbers in our Observatory.</p>
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16 pages, 3471 KiB  
Article
Solidified Salt Melts of the NaCl–KCl–CeF3–EuF3 System as Promising Luminescent Materials
by Viktor Zinchenko, Ganna Volchak, Nataliia Chivireva, Pavlo Doga, Yaroslav Bobitski, Oleh Ieriomin, Serhii Smola, Anton Babenko and Małgorzata Sznajder
Materials 2024, 17(22), 5565; https://doi.org/10.3390/ma17225565 - 14 Nov 2024
Viewed by 623
Abstract
This study presents the results of investigating the interaction between the CeF₃–EuF₃ system and the NaCl–KCl salt melt using spectroscopic methods. It was found that CeF₃ ions undergo no significant changes upon dissolution in the NaCl–KCl melt. In contrast, the dissolution of EuF₃, [...] Read more.
This study presents the results of investigating the interaction between the CeF₃–EuF₃ system and the NaCl–KCl salt melt using spectroscopic methods. It was found that CeF₃ ions undergo no significant changes upon dissolution in the NaCl–KCl melt. In contrast, the dissolution of EuF₃, both individually and within the CeF₃–EuF₃ system, is accompanied by redox reactions leading to the formation of Eu2⁺. The diffuse reflectance spectra of both the bottom (insoluble sediment) and upper parts of the solidified salt melt in the UV range indirectly indicate photoluminescence excitation from Ce3⁺ and Eu2⁺ ions. In addition, absorption bands in the near-IR region (1900–2300 cm⁻1) confirm the retention of some Eu3⁺ ions in the salt melt. The study explored the effects of various factors—including sample composition, excitation wavelength, prior and subsequent heat treatment, and medium composition—on the excitation and emission spectra of the samples. Intense 5d-4f luminescence of Ce3⁺ and Eu2⁺ ions (at 330 and 430 nm, respectively) was observed predominantly in the upper part of the salt melts, along with much weaker 4f-4f luminescence from Eu3⁺ ions. Certain parameters were optimized to reduce the luminescence contribution from Ce3⁺ and especially Eu3⁺ ions while enhancing the luminescence of Eu2⁺ ions. Solidified salt solution-melts of the NaCl–KCl–CeF₃–EuF₃ system show promise as materials for developing solar ultraviolet radiation detectors. Full article
(This article belongs to the Section Optical and Photonic Materials)
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<p>Diffractogram of solidified NaCl–KCl–EuF<sub>3</sub> solution-melt.</p>
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<p>IR transmission spectra of system samples: 1—CeF<sub>3</sub>–EuF<sub>3</sub> after calcination; 2—NaCl–KCl–CeF<sub>3</sub>–EuF<sub>3</sub> (upper part of the solidified salt melt).</p>
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<p>Diffuse reflectance spectra ((<b>a</b>) –UV, (<b>b</b>)–visible, and (<b>c</b>)–near-IR ranges) of system samples: 1–CeF<sub>3</sub>–EuF<sub>3</sub> after calcination; 2–NaCl–KCl–CeF<sub>3</sub>–EuF<sub>3</sub> (the upper part of the solidified salt melt); 3–NaCl–KCl–CeF<sub>3</sub>–EuF<sub>3</sub> (insoluble sediment).</p>
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<p>Excitation and luminescence spectra of the original CeF<sub>3</sub> (<b>a</b>) and EuF<sub>3</sub> (<b>b</b>) samples. (<b>a</b>) (slits 2.0–2.0 nm): 1—excitation spectrum of Ce<sup>3+</sup>, recorded at λ<sub>em</sub>. = 367 nm; 2—luminescence spectrum of Ce<sup>3+</sup> at λ<sub>exc</sub>. = 265 nm; (<b>b</b>) (slits 1.5–1.5 nm): 3—excitation spectrum of Eu<sup>3+</sup>, recorded at λ<sub>em</sub>. = 593 nm; 4—luminescence spectrum of Eu<sup>3+</sup>, recorded at λ<sub>exc.</sub> = 395 nm.</p>
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<p>Excitation and luminescence spectra of the upper (<b>a</b>,<b>b</b>) and lower (<b>c</b>) parts of the EuF<sub>3</sub> melt in NaCl–KCl (1:9): a (slits 0.6–0.6 nm): 1—excitation spectrum of Eu<sup>2+</sup> at λ<sub>em.</sub> = 435 nm; 2—luminescence spectrum of Eu<sup>2+</sup> at λ<sub>exc.</sub> = 352 nm; b (slits 2.0–2.0 nm): 3—excitation spectrum of Eu<sup>3+</sup> at λ<sub>em.</sub> = 615 nm; 4—luminescence spectrum of Eu<sup>3+</sup> at λ<sub>exc.</sub> = 394 nm; c (slits 0.6–0.6 nm): 1—excitation spectrum of Eu<sup>2+</sup> at λ<sub>em.</sub> = 435 nm; 2—excitation spectrum of Eu<sup>3+</sup> at λ<sub>em.</sub> = 593 nm; 3—luminescence spectrum of Eu<sup>2+</sup> at λ<sub>exc.</sub> = 352 nm; 4—luminescence spectrum of Eu<sup>3+</sup> at λ<sub>exc.</sub> = 395 nm.</p>
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<p>Excitation and luminescence spectra of the upper part of the melt (<b>a</b>,<b>b</b>) and the bottom part (<b>c</b>,<b>d</b>) of the melt of a mechanical mixture of CeF<sub>3</sub>–EuF<sub>3</sub> (1:1) in NaCl–KCl (1:9): a (slits 0.6–0.6 nm): 1—excitation spectrum of Eu<sup>2+</sup> at λ<sub>em.</sub> = 428 nm; 2—luminescence spectrum of Ce<sup>3+</sup> at λ<sub>exc.</sub> = 274 nm; 3—luminescence spectrum of Eu<sup>2+</sup> at λ<sub>exc.</sub> = 338 nm; b (slits 3.0–3.0 nm): 4—excitation spectrum of Eu<sup>3+</sup> at λ<sub>em.</sub> = 591 nm; 5—luminescence spectrum of Eu<sup>3+</sup> at λ<sub>exc.</sub> = 396 nm; c (slits 0.6–0.6 nm): 1—excitation spectrum of Eu<sup>2+</sup> at λ<sub>em.</sub> = 428 nm; 2—luminescence spectrum of Ce<sup>3+</sup> at λ<sub>exc.</sub> = 273 nm; 3—luminescence spectrum of Eu<sup>2+</sup> λ<sub>exc.</sub> = 340 nm; d (slits 3.0–3.0 nm): 4—excitation spectrum of Eu<sup>3+</sup> at λ<sub>em.</sub> = 591 nm; 5—luminescence spectra of Eu<sup>3+</sup> at λ<sub>exc.</sub> = 397 nm.</p>
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<p>Excitation and luminescence spectra of the bottom and upper parts of the sample CeF<sub>3</sub>–EuF<sub>3</sub> (1:1) in NaCl–KCl (1:9): (<b>a</b>)—excitation and luminescence spectra of Eu<sup>2+</sup>, slits 0.6–0.6 nm; 1—excitation spectrum at λ<sub>em.</sub> = 428 nm (upper part), 2—λ<sub>em.</sub> = 426 nm (bottom part); 3—luminescence spectrum at λ<sub>exc.</sub> = 352 nm (upper part), 4—λ<sub>exc.</sub> = 352 nm (bottom part); (<b>b</b>)—excitation and luminescence spectra of Eu<sup>3+</sup>, slits 3.0–3.0 nm; 5—excitation spectrum at λ<sub>em</sub>. = 613 nm (upper part), 6—λ<sub>em.</sub> = 618 nm (bottom part); 7—luminescence spectrum at λ<sub>exc.</sub> = 395 nm (upper part), 8—λ<sub>exc.</sub> = 397 nm (bottom part).</p>
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<p>Excitation and luminescence spectra of the upper (1), middle (2), and bottom (3) parts of the sample CeF<sub>3</sub>–EuF<sub>3</sub> (1:2) in NaCl–KCl (1:9): (<b>a</b>)—excitation and luminescence spectra of Eu<sup>2+</sup>: λ<sub>em.</sub> = 429 nm; λ<sub>exc.</sub> = 338 nm; slits 0.6–0.6 nm; (<b>b</b>)—excitation and luminescence spectra of Eu<sup>3+</sup>: λ<sub>em.</sub> = 591 nm; λ<sub>exc.</sub> = 397 nm; slits 3.0–3.0 nm.</p>
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<p>Excitation and luminescence spectra of the upper (1), middle (2), and bottom (3) parts of the sample CeF<sub>3</sub>–EuF<sub>3</sub> (1:2) in NaCl–KCl (2:8), 750 °C for 2 h in a vacuum: (<b>a</b>)—excitation and luminescence spectra of Eu<sup>2+</sup>: λ<sub>em.</sub> = 425 nm; λ<sub>exc.</sub> = 338 nm; slits 0.6–0.6 nm; (<b>b</b>)—excitation and luminescence spectra of Eu<sup>3+</sup>: λ<sub>em.</sub> = 591 nm; λ<sub>exc.</sub> = 397 nm; slits 3.0–3.0 nm; (<b>c</b>)—excitation and luminescence spectra of Ce<sup>3+</sup>: λ<sub>em.</sub> = 325 nm; λ<sub>exc.</sub> = 273 nm; slits 3.0–3.0 nm.</p>
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38 pages, 8036 KiB  
Review
Overview of High-Performance Timing and Position-Sensitive MCP Detectors Utilizing Secondary Electron Emission for Mass Measurements of Exotic Nuclei at Nuclear Physics Facilities
by Zhuang Ge
Sensors 2024, 24(22), 7261; https://doi.org/10.3390/s24227261 - 13 Nov 2024
Viewed by 812
Abstract
Timing and/or position-sensitive MCP detectors, which detect secondary electrons (SEs) emitted from a conversion foil during ion passage, are widely utilized in nuclear physics and nuclear astrophysics experiments. This review covers high-performance timing and/or position-sensitive MCP detectors that use SE emission for mass [...] Read more.
Timing and/or position-sensitive MCP detectors, which detect secondary electrons (SEs) emitted from a conversion foil during ion passage, are widely utilized in nuclear physics and nuclear astrophysics experiments. This review covers high-performance timing and/or position-sensitive MCP detectors that use SE emission for mass measurements of exotic nuclei at nuclear physics facilities, along with their applications in new measurement schemes. The design, principles, performance, and applications of these detectors with different arrangements of electromagnetic fields are summarized. To achieve high precision and accuracy in mass measurements of exotic nuclei using time-of-flight (TOF) and/or position (imaging) measurement methods, such as high-resolution beam-line magnetic-rigidity time-of-flight (Bρ-TOF) and in-ring isochronous mass spectrometry (IMS), foil-MCP detectors with high position and timing resolution have been introduced and simulated. Beyond TOF mass measurements, these new detector systems are also described for use in heavy ion beam trajectory monitoring and momentum measurements for both beam-line and in-ring applications. Additionally, the use of position-sensitive timing foil-MCP detectors for Penning trap mass spectrometers and multi-reflection time-of-flight (MR-TOF) mass spectrometers is proposed and discussed to improve efficiency and enhance precision. Full article
(This article belongs to the Special Issue Particle Detector R&D: Design, Characterization and Applications)
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<p>Schematic overview of the foil-MCP detectors: (<b>a</b>) Mirror-type electrostatic foil-MCP detector. (<b>b</b>) Direct projection electrostatic foil-MCP detector. (<b>c</b>) Electrostatic-lens foil-MCP detector. (<b>d</b>) Magnetic field and electrostatic field parallelly arranged foil-MCP detector. (<b>e</b>) Magnetic field and electrostatic field crossly arranged foil-MCP detector. The trajectory of the SEs are from simulations with SIMION.</p>
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<p>Schematic diagram of the working principle of foil-MCP detectors. (<b>a</b>) Schematic view of the trajectories of SEs from the conversion foil to the MCP detector for the electrostatic mirror detector [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>]. (<b>b</b>) Schematic diagram illustrating the principle of a B‖E-MCP detector. The trajectories of the SEs in a magnetic field that changes gradually from a strong field to a weaker uniform field is modified from [<a href="#B102-sensors-24-07261" class="html-bibr">102</a>]. (<b>c</b>) This setup represents a cross-type B×E-MCP detector. Heavy ions travel along the positive z-axis, the electric field is oriented along the negative z-axis, and the magnetic field is reversed along the positive y-axis [<a href="#B103-sensors-24-07261" class="html-bibr">103</a>].</p>
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<p>(<b>a</b>) Five-point imaging of SEs from the foil onto the MCP surface in the X-Z and X-Y views during the simulation. The comparison of X-coordinate position (<b>b</b>), Y-coordinate position (<b>c</b>), and timing (<b>d</b>) resolutions for detectors with different dimensions (120 mm × 120 mm and 240 mm × 240 mm for the triangular structure). The HV settings for the different plates were identical, and the accelerating HV values were all negative in the simulation [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>(Upper panel) Simulation of SE trajectory in an electrostatic-lens MCP detector. The lower panel illustrates the comparison of the Y-direction (<b>a</b>), Z-direction (<b>b</b>) position resolution, and timing (<b>c</b>) resolution as a function of the position at the foil for the timing side (depicted as TOF side in the legend) and position-sensitive side (depicted as position side in the legend), respectively [<a href="#B38-sensors-24-07261" class="html-bibr">38</a>].</p>
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<p>(<b>a</b>) The B×E foil-MCP detector designed to provide both timing and one-dimensional positional sensitivity [<a href="#B37-sensors-24-07261" class="html-bibr">37</a>]. (<b>b</b>) The positional data (<span class="html-italic">x</span>/mm) for ions during each revolution are recorded by a position-sensitive detector that experiences energy loss (using a foil-MCP detector) within the storage ring [<a href="#B103-sensors-24-07261" class="html-bibr">103</a>]. The error bars for each data point (in bule) in the simulation account for a resolving power of 1 mm (<math display="inline"><semantics> <mi>σ</mi> </semantics></math>) for the foil-MCP detector. A function: <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <msub> <mi>x</mi> <mn>0</mn> </msub> <mo>+</mo> <mi>a</mi> <mo>·</mo> <mi>e</mi> <mi>x</mi> <mi>p</mi> <mrow> <mo>(</mo> <mo>−</mo> <mi>b</mi> <mo>·</mo> <mi>T</mi> <mo>)</mo> </mrow> <mo>·</mo> <mi>s</mi> <mi>i</mi> <mi>n</mi> <mrow> <mo>(</mo> <mn>2</mn> <mi>π</mi> <mo>·</mo> <mrow> <mo>(</mo> <mi>T</mi> <mo>−</mo> <msub> <mi>T</mi> <mn>0</mn> </msub> <mo>)</mo> </mrow> <mo>/</mo> <mi>ω</mi> <mo>)</mo> </mrow> <mo>+</mo> <mi>c</mi> <mo>·</mo> <mi>T</mi> </mrow> </semantics></math>, is used to fit (in red) the betatron oscillation (see <a href="#sec5dot3-sensors-24-07261" class="html-sec">Section 5.3</a> for details). (<b>c</b>) The positional and angular data (<span class="html-italic">x</span>,<math display="inline"><semantics> <msup> <mi>x</mi> <mo>′</mo> </msup> </semantics></math>) for ions during each revolution are captured by a position-sensitive detector that functions without any degradation (for example, using a Schottky pickup as the probe) within a storage ring. (<b>d</b>) The positional and angular data (<span class="html-italic">x</span>,<math display="inline"><semantics> <msup> <mi>x</mi> <mo>′</mo> </msup> </semantics></math>) for ions per revolution obtained by a position-sensitive detector that experiences energy loss (utilizing a foil-MCP detector) within the storage ring [<a href="#B103-sensors-24-07261" class="html-bibr">103</a>]. The ions being simulated in this scenario are <sup>38</sup><span class="html-italic">K</span><sup>19+</sup> with an energy level of approximately 200 MeV/nucleon. The simulation is based on the COSY [<a href="#B106-sensors-24-07261" class="html-bibr">106</a>] and MOCADI [<a href="#B107-sensors-24-07261" class="html-bibr">107</a>] software packages, developed at MSU and GSI.</p>
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<p>Simulation of SE trajectories in the absence of magnetic field (<b>a</b>) and magnetic field (<b>b</b>) [<a href="#B85-sensors-24-07261" class="html-bibr">85</a>]. The SEs of the detector are emitted from the conversion film of the detector. The implementation of an additional magnetic field can significantly improve the confinement of the ion’s position.</p>
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<p>(<b>a</b>) shows the schematic cross-sectional view of the setup for the calibration of the DLD system. (<b>b</b>) indicates the 3D imaging principle of the calibration setup [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>(<b>a</b>) CAD drawing of the effective area featuring <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math>0.5 mm or <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math>1 mm holes on the calibration mask. (<b>b</b>) Two-dimensional spectrum of raw signal imaging, displayed as a contour plot, based on the time difference in the x- and y-directions. (<b>c</b>) Calibrated two-dimensional position imaging spectrum of collimated ions passing through the mask, shown with contour display [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>Fitting residual dependence of position for first-order calibration (<b>a</b>) and third-order calibration with cross terms (<b>b</b>) in fitting [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>The vector field map of the correction vector <math display="inline"><semantics> <mover accent="true"> <msub> <mi>V</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> <mo>→</mo> </mover> </semantics></math>, derived from the difference between the expected and the calibrated/measured mean values for each hole center spot. (<b>a</b>) displays a first-order correction map, while (<b>b</b>) shows a higher-order correction map. For better visibility, the lengths (magnitudes) of the vectors are enlarged by a factor of 5. The edge of the active area of the DLD is indicated by the dashed blue circle [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>Schematic view of detector arrangement of the offline (<b>a</b>) experiment with <math display="inline"><semantics> <mi>α</mi> </semantics></math> source and online (<b>b</b>) experiment with heavy-ion beams [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>(<b>a</b>) The overall detection efficiency of the electrostatic MCP detector plotted against the deflection potential for ions of <sup>84</sup><sup>Kr36+</sup>. The ratio between the deflection and accelerating potentials is consistently maintained at approximately 0.79. (<b>b</b>) The efficiency of detecting <math display="inline"><semantics> <mi>α</mi> </semantics></math> particles emitted from a <sup>241</sup>Am source. The accelerating potential is held constant at −6000 V, while the deflection potential is adjusted throughout the process [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>(<b>a</b>) shows the measured position distribution of beams by the electrostatic MCP detector. (<b>b</b>) indicates the local detection efficiency distribution of the detector [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>(<b>a</b>) Position resolution comparison of offline results (Mylar foil in “electron mode”) to simulation results as a function of the accelerating potential by keeping the ratio of accelerating potential and the deflection potential at ∼0.778. (<b>b</b>) Uncertainty of position measurement difference of the PPACs and the E-MCP detector as a function of accelerating potential. (<b>c</b>) Uncertainty of position measurement difference subtracted with the resolution of the PPAC system (assuming a resolution of 1 mm for two dimensions) as a function of accelerating potential [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>(<b>a</b>) shows the imaging of collimated <math display="inline"><semantics> <mi>α</mi> </semantics></math> particles from three holes on a mask placed in front of the foil. (<b>b</b>,<b>c</b>) display the X- and Y-coordinate projections of the imaging from one hole. The Gaussian fitting parameter “sigma” of the peak is used to characterize the resolutions (X: 1.108 mm, Y: 1.098 mm). The deviations between the imaging points on the MCP detector and their corresponding physical positions on the mask are smaller than 1<math display="inline"><semantics> <mi>σ</mi> </semantics></math> uncertainty (the resolution) of the measurements [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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<p>The potential completion status of the foil-MCP detector installation at HFRS. Dual foil-MCP detectors, indicated by purple blocks, could be used for measuring the position, angle, and timing of arrival of RIs at the foci (PF4, MF1-4) of HFRS on an event-by-event basis [<a href="#B38-sensors-24-07261" class="html-bibr">38</a>]. The ‘PS-T D’ refers to the position-sensitive timing detector.</p>
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<p>(<b>a</b>) shows the X, Y positions of the SEs deflected onto the MCP by the electrostatic detector deduced from the collimated <math display="inline"><semantics> <mi>α</mi> </semantics></math> source at position (30 mm, 0 mm) on a mask with a hole size of ∼0.5 mm in diameter, as a function of outer mirror potential while keeping the accelerating grid HV of −6000 V. (<b>b</b>) displays the X, Y positions of the imaging of the same collimated hole as a function of accelerating potential by keeping the ratio of potential of the deflection potential to accelerating potential as a constant [<a href="#B36-sensors-24-07261" class="html-bibr">36</a>].</p>
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21 pages, 4174 KiB  
Article
Mandarin Peels-Derived Carbon Dots: A Multifaceted Fluorescent Probe for Cu(II) Detection in Tap and Drinking Water Samples
by Marwa El-Azazy, Alaa AlReyashi, Khalid Al-Saad, Nessreen Al-Hashimi, Mohammad A. Al-Ghouti, Mohamed F. Shibl, Abdulrahman Alahzm and Ahmed S. El-Shafie
Nanomaterials 2024, 14(20), 1666; https://doi.org/10.3390/nano14201666 - 17 Oct 2024
Viewed by 1002
Abstract
Carbon dots (CDs) derived from mandarin peel biochar (MBC) at different pyrolysis temperatures (200, 400, 600, and 800 °C) have been synthesized and characterized. This high-value transformation of waste materials into fluorescent nanoprobes for environmental monitoring represents a step forward towards a circular [...] Read more.
Carbon dots (CDs) derived from mandarin peel biochar (MBC) at different pyrolysis temperatures (200, 400, 600, and 800 °C) have been synthesized and characterized. This high-value transformation of waste materials into fluorescent nanoprobes for environmental monitoring represents a step forward towards a circular economy. In this itinerary, CDs produced via one-pot hydrothermal synthesis were utilized for the detection of copper (II) ions. The study looked at the spectroscopic features of biochar-derived CDs. The selectivity of CDs obtained from biochar following carbonization at 400 °C (MBC400-CDs towards various heavy metal ions resulted in considerable fluorescence quenching with copper (II) ions, showcasing their potential as selective detectors. Transmission electron microscopic (TEM) analysis validated the MBC-CDs’ consistent spherical shape, with a particle size of <3 nm. The Plackett–Burman Design (PBD) was used to study three elements that influence the F0/F ratio, with the best ratio obtained with a pH of 10, for 10 min, and an aqueous reaction medium. Cu (II) was detected over a dynamic range of 4.9–197.5 μM and limit of detection (LOD) of 0.01 μM. Validation testing proved the accuracy and precision for evaluating tap and mountain waters with great selectivity and no interference from coexisting metal ions. Full article
(This article belongs to the Special Issue Carbon Nanostructures as Promising Future Materials: 2nd Edition)
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<p>UV–vis spectra of the as-prepared MBC400, 600, and 800-CDs, including an inset image showing the CDs samples under UV light at 365 nm compared to DIW (far right).</p>
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<p>Fluorescence emission spectra of the as-synthesized MBC400-CDs emitted using different excitation wavelengths in the range between 250 and 350 nm.</p>
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<p>TEM micrographs of the prepared samples: (<b>a</b>–<b>c</b>) MBC400-CDs, (<b>d</b>–<b>f</b>) MBC600-CDs, and (<b>g</b>–<b>i</b>) MBC800-CDs at different scales between 5 and 50 nm. Micrographs denoted by the letters (<b>j</b>–<b>l</b>) are the PSD of the prepared samples from MBC400, 600, and 800, respectively.</p>
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<p>(<b>a</b>) FTIR spectrum of MBC400-CDs and (<b>b</b>) powder XRD pattern of the samples MBC400 (blue line) and MBC400-CDs (red line).</p>
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<p>(<b>a</b>) The MBC400-CDs fluorescence intensity (FI) measured in different concentrations of NaCl and (<b>b</b>) MBC400-CDs FI measured versus time.</p>
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<p>(<b>a</b>,<b>b</b>) is the selectivity test of the prepared MBC 400-CDs towards different metal ions, (<b>c</b>) a photo showing the MBC400-CDs sample before and after quenching using different heavy metal ions under irradiation using a longer wavelength UV lamp.</p>
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<p>(<b>a</b>) Pareto chart of standardized effects, (<b>b</b>) 2D contour plots, and (<b>c</b>) 3D surface plots for pH and CT.</p>
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<p>(<b>a</b>) The calibration curve for different concentrations of copper (II), determined using MBC400-CDs. (<b>b</b>) Fluorescence spectra of MBC400-CDs before and after adding different concentrations of copper (II).</p>
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<p>Synthesis of MBC400-CDs from waste mandarin peels.</p>
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18 pages, 12177 KiB  
Article
Isotopically Enriched Lithium Fluoride Crystals for Detection of Neutrons with the Fluorescent Track Technique
by Małgorzata Sankowska, Paweł Bilski, Mariusz Kłosowski, Anna Kilian, Wojciech Gieszczyk and Barbara Marczewska
Materials 2024, 17(20), 5029; https://doi.org/10.3390/ma17205029 - 14 Oct 2024
Viewed by 677
Abstract
In this work, the properties of LiF crystals grown using Li of different isotopic compositions are described from the standpoint of their application as fluorescent nuclear track detectors used in measurements in the neutron radiation fields. The crystals were grown using two techniques: [...] Read more.
In this work, the properties of LiF crystals grown using Li of different isotopic compositions are described from the standpoint of their application as fluorescent nuclear track detectors used in measurements in the neutron radiation fields. The crystals were grown using two techniques: the Czochralski method and the micro-pulling-down method. Three isotopic compositions of Li were studied: natural, highly enriched in 6Li, and highly enriched in 7Li. It was found that 6LiF detectors are about six times more sensitive to thermal (low energy) neutrons than natural LiF, which significantly decreases the lower detection limit. 7LiF detectors are insensitive to thermal neutrons, which makes it easier to detect tracks due to other radiation modalities, such as energetic ions or nuclei recoiled in collisions with high-energy neutrons. Besides the response to neutron radiation, no other significant differences in the crystal properties were identified, irrespective of the isotopic composition and crystal growth method employed. Full article
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<p>Photoluminescence excitation (PLE) and emission (PL) spectra for LiF crystal after exposure to Sr-90/Y-90 beta source. The emission spectrum was measured using a 505 nm long-pass filter to cut off the excitation light.</p>
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<p>Examples of the fluorescent tracks created by the products of (n,α) reaction at <sup>6</sup>Li: alpha particle and tritium nucleus in LiF crystal enriched with <sup>6</sup>Li. Thermal neutron fluence around 8.6 × 10<sup>4</sup> n.cm<sup>−2</sup>. Maximum intensity projection from images taken at depths from 13 µm below surface to 18 µm below the crystal surface (see <a href="#sec2dot3-materials-17-05029" class="html-sec">Section 2.3</a> for details).</p>
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<p>Examples of LiF crystals grown with (<b>a</b>) Czochralski method; (<b>b</b>) µPD method. Panel (<b>c</b>) shows a comparison between FNTD detectors cut from crystals produced with both methods.</p>
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<p>Examples of images registered after irradiations with thermal neutrons. Maximum intensity projection of 21 images taken at depths ranging from 10 µm to 30 µm below the crystal surface for (<b>a</b>) natural LiF, neutron fluence c.a. 8.6 × 10<sup>4</sup> n.cm<sup>−2</sup>; (<b>b</b>) LiF enriched with <sup>6</sup>Li, neutron fluence c.a. 8.6 × 10<sup>4</sup> n.m<sup>−2</sup>; (<b>c</b>) natural LiF, neutron fluence c.a. 4.0 × 10<sup>5</sup> n.cm<sup>−2</sup>; (<b>d</b>) LiF enriched with <sup>6</sup>Li, neutron fluence c.a. 4.0 × 10<sup>5</sup> n.cm<sup>−2</sup>.</p>
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<p>Relationship between a number of the registered tracks per field of view and the thermal neutron fluence for detectors made of natural and <sup>6</sup>Li-enriched LiF. One track per field of view corresponds to about 7000 tracks per mm<sup>3</sup>.</p>
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<p>Total fluorescent intensity in the field of view versus thermal neutron fluence for detectors made of LiF enriched with <sup>6</sup>Li. Calculations were made for the maximum intensity projection of 21 images taken at depths ranging from 10 µm to 30 µm below the crystal surface.</p>
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<p>Examples of images registered after irradiations with different individual equivalent doses of neutrons for natural (<b>a</b>,<b>c</b>) and <sup>6</sup>Li-enriched (<b>b</b>,<b>d</b>) detectors. Maximum intensity projection of 21 images taken at depths ranging from 6 to 26 µm under the crystal surface.</p>
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<p>Number of tracks per field of view versus neutron dose equivalent Hp(10) for detectors made of natural and <sup>6</sup>Li-enriched LiF. The inset graph shows in detail the results in the range up to 2 mSv.</p>
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<p>Examples of images registered after irradiations with high energy neutrons at CERF for (<b>a</b>) natural LiF crystals and (<b>b</b>) <sup>7</sup>Li-enriched LiF crystals. Maximum intensity projection of 21 images taken at depths ranging from 6 to 26 µm under the crystal surface.</p>
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<p>Example of a very long track (about 220 µm) registered with <sup>7</sup>Li-enriched LiF FNTD detector at CERF. The image consists of a superposition of three maximum intensity projections of image stacks (depth from 11 µm to 15 µm under crystal surface) acquired in the adjacent areas. The image background was numerically subtracted.</p>
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<p>Comparison of images acquired after irradiation with fast neutrons from Pu-Be source for (<b>a</b>) natural LiF, (<b>b</b>) LiF enriched with <sup>6</sup>Li, and (<b>c</b>) LiF enriched with <sup>7</sup>Li. Maximum intensity projection of 21 images taken at depths ranging from 10 to 30 µm under the crystal surface.</p>
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<p>Comparison of images obtained after 6-month exposure of FNTDs on the International Space Station in Earth orbit: (<b>a</b>) natural LiF and (<b>b</b>) LiF enriched with <sup>7</sup>Li. The pictures show maximum intensity projection of 21 images taken at depths ranging from the crystal surface to 21 µm under the surface. Acquisition time for a single image was 20 s.</p>
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<p>Example of an image for <sup>7</sup>Li-enriched LiF crystal after exposure during the flight to the lunar orbit in the frame of the MARE experiment (Artemis-1 mission). Maximum intensity projection of 21 images taken at depths ranging from 6 to 26 µm under the crystal surface. The acquisition time for a single image was 30 s.</p>
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<p>Influence of post-irradiation annealing at 290 °C on track intensity. Maximum intensity projection for stacks of images acquired at depths ranging from the surface to 20 µm in 1 µm steps for the same LiF crystal before and after heating at 290 °C. The acquisition time for a single image 5 s. The sample was irradiated with thermal neutrons (moderated Pu-Be source). The brightness, contrast, and other graphic parameters of both images are the same.</p>
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9 pages, 1272 KiB  
Communication
Solid-State Nanopore-Based Nanosystem for Registration of Enzymatic Activity of a Single Molecule of Cytochrome P450 BM3
by Yuri D. Ivanov, Angelina V. Vinogradova, Ekaterina D. Nevedrova, Alexander N. Ableev, Andrey F. Kozlov, Ivan D. Shumov, Vadim S. Ziborov, Oleg N. Afonin, Nikita V. Vaulin, Denis V. Lebedev, Anton S. Bukatin, Polina K. Afonicheva, Ivan S. Mukhin, Sergey A. Usanov and Alexander I. Archakov
Int. J. Mol. Sci. 2024, 25(19), 10864; https://doi.org/10.3390/ijms251910864 - 9 Oct 2024
Viewed by 780
Abstract
Experimental methods of single-molecule enzymology allow scientists to determine physicochemical properties of distinct single molecules of various enzymes and to perform direct monitoring of functioning of enzymes at different steps of their catalytic cycle. The approach based on the use of solid-state nanopores [...] Read more.
Experimental methods of single-molecule enzymology allow scientists to determine physicochemical properties of distinct single molecules of various enzymes and to perform direct monitoring of functioning of enzymes at different steps of their catalytic cycle. The approach based on the use of solid-state nanopores is a promising tool for studying the functioning of single-enzyme molecules. Herein, this approach is employed for monitoring the functioning of cytochrome P450 BM3, which represents a very convenient model of cytochrome P450-containing monooxygenase systems. A nanopore of ~5 nm in diameter has been formed in a 40 nm-thick silicon nitride chip by electron beam drilling (EBD), and a single molecule of the BM3 enzyme has been entrapped in the pore. The functioning of the enzyme molecule has been monitored by recording the time dependence of the ion current through the nanopore during the reaction of laurate hydroxylation. In our experiments, the enzyme molecule has been found to be active for 1500 s. The results of our research can be further used in the development of highly sensitive detectors for single-molecule studies in enzymology. Full article
(This article belongs to the Special Issue New Trends in Molecular Biosensors)
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<p>Typical time dependence of the ion current through the nanopore formed in a 40 nm-thick SiN chip recorded in the control experiment in the absence of the enzyme at a −400 mV voltage in 2 mM PBS-D. Numbers indicate the time points of the addition of 500 µM sodium laurate (1) and 200 µM NADPH (2).</p>
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<p>The typical time dependence of ion current through the nanopore (<span class="html-italic">I</span>(<span class="html-italic">t</span>) dependence) formed in a 40 nm-thick SiN chip recorded in the working experiment at a −400 mV voltage in 2 mM PBS-D. Numbers indicate the time points of the addition of the enzyme (1), 500 µM sodium laurate (2), and 200 µM NADPH (3). Insets in red square frames show enlarged fragments of the <span class="html-italic">I</span>(<span class="html-italic">t</span>) dependence.</p>
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<p>TEM image of a 5 nm nanopore formed by EBD in a 40 nm-thick SiN chip. The scale bar is 10 nm.</p>
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10 pages, 5839 KiB  
Article
The Influence of Etching Method on the Occurrence of Defect Levels in III-V and II-VI Materials
by Kinga Majkowycz, Krzysztof Murawski, Małgorzata Kopytko, Krzesimir Nowakowski-Szkudlarek, Marta Witkowska-Baran and Piotr Martyniuk
Nanomaterials 2024, 14(19), 1612; https://doi.org/10.3390/nano14191612 - 9 Oct 2024
Cited by 1 | Viewed by 905
Abstract
The influence of the etching method on the occurrence of defect levels in InAs/InAsSb type-II superlattice (T2SLs) and MCT photodiode is presented. For both analyzed detectors, the etching process was performed by two methods: wet chemical etching and dry etching using an ion [...] Read more.
The influence of the etching method on the occurrence of defect levels in InAs/InAsSb type-II superlattice (T2SLs) and MCT photodiode is presented. For both analyzed detectors, the etching process was performed by two methods: wet chemical etching and dry etching using an ion beam (RIE—reactive ion etching). The deep-level transient spectroscopy (DLTS) method was used to determine the defect levels occurring in the analyzed structures. The obtained results indicate that the choice of etching method affects the occurrence of additional defect levels in the MCT material, but it has no significance for InAs/InAsSb T2SLs. Full article
(This article belongs to the Special Issue Nanoelectronics: Materials, Devices and Applications (Second Edition))
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<p>DLTS measurement system.</p>
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<p>Structures for DLTS measurement: (<b>a</b>) MCT heterostructure; (<b>b</b>) InAs/InAsSb T2SLs.</p>
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<p>Current–voltage characteristics for MCT etched by (<b>a</b>) dry (ICP RIE), and (<b>b</b>) mixed (ICP RIE and wet) methods, (I<sub>d</sub>—dark current).</p>
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<p>Current–voltage characteristics for MCT etched by (<b>a</b>) dry (ICP RIE), and (<b>b</b>) mixed (ICP RIE and wet) methods, (I<sub>d</sub>—dark current).</p>
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<p>Surface roughness for MCT etched by (<b>a</b>) dry (ICP RIE) and (<b>b</b>) mixed (ICP RIE and wet) methods.</p>
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<p>DLTS signal for MCT heterostructure: (<b>a</b>) wet etching; (<b>b</b>) mixed etching.</p>
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<p>DLTS signal for MCT heterostructure: (<b>a</b>) wet etching; (<b>b</b>) mixed etching.</p>
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<p>DLTS signal for wet and dry etched T2SLs InAs/InAsSb: (<b>a</b>) reverse bias; (<b>b</b>) forward bias.</p>
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5 pages, 196 KiB  
Article
Measurement and Flexible Atomic Code (FAC) Computation of Extreme Ultraviolet (EUV) Spectra of Eu
by Joel H. T. Clementson, Peter Beiersdorfer, Gregory V. Brown, Natalie Hell and Elmar Träbert
Atoms 2024, 12(10), 48; https://doi.org/10.3390/atoms12100048 - 27 Sep 2024
Viewed by 795
Abstract
A group of EUV lines of H- and He-like ions of C provides excellent wavelength calibrations for a position-sensitive multichannel detector at a high-resolution spectrograph. We have exploited this setting for a series of spectra of highly charged Eu ions recorded at the [...] Read more.
A group of EUV lines of H- and He-like ions of C provides excellent wavelength calibrations for a position-sensitive multichannel detector at a high-resolution spectrograph. We have exploited this setting for a series of spectra of highly charged Eu ions recorded at the Livermore SuperEBIT electron beam ion trap. A variation in the electron beam energy results in spectra with correspondingly staggered highest Eu ion charge states ranging from Na- through to Ni-like Eu ions. A number of spectral features can be identified from the literature, but the majority of line identifications need guidance from computations of simulated spectra on the basis of collisional-radiative models. For ions with more than two electrons in the valence shell, the typical computational results are of a markedly lower accuracy. We have applied the Flexible Atomic Code (FAC), which is capable of handling all our measured ions with reasonable accuracy. We look into the systematics of the deviation of the computed transition energies from the measured ones as a function of the electron number. Full article
(This article belongs to the Special Issue 21st International Conference on the Physics of Highly Charged Ions)
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<p>The relative deviation (red circles) of the computed transition energies (by FAC) from the measured ones in Eu ions with 11 to 27 electrons. The blue eye-guiding line suggests a roughly linear trend up to <math display="inline"><semantics> <mrow> <mi>Z</mi> <mo>=</mo> <mn>27</mn> </mrow> </semantics></math> (Co), and more pronounced deviations from the trend for elements near Fe.</p>
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16 pages, 4823 KiB  
Article
A Comparative Analysis of Performance Simulation for PUI Detectors Based on Traditional Probability Model and the Vasyliunas and Siscoe Model
by Yu Cao, Yuzhu Zhang, Xiaodong Peng, Changbin Xue and Bin Su
Sensors 2024, 24(19), 6233; https://doi.org/10.3390/s24196233 - 26 Sep 2024
Viewed by 519
Abstract
In recent years, the enthusiasm for deep space missions has remained unabated, resulting in continuous advancements in the research field of space environment and particles. Many instruments carried on these missions have conducted detection of pickup ions (PUIs) in the solar system. For [...] Read more.
In recent years, the enthusiasm for deep space missions has remained unabated, resulting in continuous advancements in the research field of space environment and particles. Many instruments carried on these missions have conducted detection of pickup ions (PUIs) in the solar system. For those instruments, simulation is an effective means and a crucial step for their performance optimization and future operation in-orbit. It holds great significance for the instrument’s in-orbit performance assessment, science operation optimization, and detection efficiency enhancement. In this paper, the traditional probability model and the Vasyliunas and Siscoe (V–S) model are used to generate the PUIs, which are the input for the simulation of the PUI detector. For further analysis, the numerical results of the simulation are processed to calculate the instrument’s geometric factor, mass resolution, and count rates. Then, two sets of experiments are carried out for the comparison of the traditional probability model and the V–S model. The results show that, for the simulation of the instrument in the design stage, the simulation results of the traditional probability model and the V–S model are not much different. However, for the simulation of the instrument performance in-orbit, the PUI data generated based on the V–S model gave a better result than those of the traditional probability model. This conclusion is of great significance for evaluating the detection ability of the PUI detector in future deep space explorations. Full article
(This article belongs to the Section Physical Sensors)
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<p>PUI detection principle and coordinate system.</p>
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<p>PUI detector simulation process.</p>
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<p>Framework for comparative analysis of the PUI detector performance simulation.</p>
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<p><span class="html-italic">E</span>-<span class="html-italic">β</span> phase space distribution diagram of ion beam simulated by the traditional probability model.</p>
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<p><span class="html-italic">E</span>-<span class="html-italic">β</span> phase space distribution diagram of ion beam simulated by the V–S model.</p>
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<p>Trajectory simulation of ions in the carbon foil: (<b>a</b>) transverse view; (<b>b</b>) depth vs. y-axis.</p>
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<p>Traditional probability model for H<sup>+</sup> time-of-flight spectrum.</p>
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<p>V–S model for H<sup>+</sup> time-of-flight spectrum.</p>
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<p>Comparison of simulation results between the V–S model and traditional probability model: (<b>a</b>) time of flight; (<b>b</b>) mass resolution.</p>
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<p>Figure of count rates/geometric factor comparison.</p>
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13 pages, 2535 KiB  
Article
Laser Desorption of Explosives from the Surface of Different Real-World Materials Studied Using C2Cl6-Dopant-Assisted Ion Mobility Spectrometry
by Emanuel Maťaš, Matej Petrík, Martin Sabo and Štefan Matejčík
Molecules 2024, 29(18), 4482; https://doi.org/10.3390/molecules29184482 - 21 Sep 2024
Viewed by 829
Abstract
A highly efficient and sensitive ion mobility spectrometry (IMS) system with laser desorption sampling was applied for rapid explosive detection using different surface materials. This portable IMS detector, powered by a battery, offers mobility and is suitable for use in the field or [...] Read more.
A highly efficient and sensitive ion mobility spectrometry (IMS) system with laser desorption sampling was applied for rapid explosive detection using different surface materials. This portable IMS detector, powered by a battery, offers mobility and is suitable for use in the field or combat zones. The laser desorption (LD) sampling of common explosives (Trinitrotoluene—TNT; Dinitrotoluenes—DNTs; Hexogene—RDX; pentaerythritol tetranitrate—PETN; plastic explosives—Compound 4 (C-4) and Semtex) on a wide range of common surface materials, such as metal, ceramic, plastic, glass, drywall, paper, wood, and textiles, was studied. Successful detection was achieved on nearly all surfaces except flammable materials (paper, wood, and textiles). The limit of detection (LOD) was determined for each explosive and specific surface, demonstrating an impressive LOD of 7 ng/mm2 for TNT. RDX, C-4, PETN, and Semtex achieved LOD values of 15 ng/mm2, while DNTs showed an LOD of approximately 50 ng/mm2. Full article
(This article belongs to the Section Analytical Chemistry)
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Graphical abstract

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<p>The IMS spectrum of negative CD with dopant C<sub>2</sub>Cl<sub>6</sub> contains RIP Cl<sup>−</sup>∙(H<sub>2</sub>O)<sub>n</sub> (dominant peak with K<sub>0</sub> = 2.30 cm<sup>2</sup>·V<sup>−1</sup>·s<sup>−1</sup>) and small admixture of NO<sub>x</sub><sup>−</sup> (peaks on the right side).</p>
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<p>Sample of selected IMS spectra of explosives from different surface materials. (<b>a</b>) TNT from aluminum; (<b>b</b>) RDX from ceramic; (<b>c</b>) PETN from PVC; (<b>d</b>) C-4 from stainless steel; (<b>e</b>) Semtex from drywall; (<b>f</b>) PETN from paper; (<b>g</b>) RDX from paper; and (<b>h</b>) PETN from wood. The surface concentrations were not calculated.</p>
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<p>Sample of selected IMS spectra of explosives from different surface materials. (<b>a</b>) TNT from aluminum; (<b>b</b>) RDX from ceramic; (<b>c</b>) PETN from PVC; (<b>d</b>) C-4 from stainless steel; (<b>e</b>) Semtex from drywall; (<b>f</b>) PETN from paper; (<b>g</b>) RDX from paper; and (<b>h</b>) PETN from wood. The surface concentrations were not calculated.</p>
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<p>Measured sensitivity for (<b>a</b>) 50 ng (7 ng/mm<sup>2</sup>) of TNT, (<b>b</b>) 100 ng (15 ng/mm<sup>2</sup>) of RDX, (<b>c</b>) 100 ng (15 ng/mm<sup>2</sup>) of PETN, and (<b>d</b>) 100 ng (15 ng/mm<sup>2</sup>) of Semtex, detected from ceramic.</p>
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<p>(<b>a</b>) Storage of the IMS instrument in a transport box with electronics, battery, flow system, and laser; (<b>b</b>) scheme of IMS with dopant gas C<sub>2</sub>Cl<sub>6</sub> and laser.</p>
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<p>Image of various surfaces used in this study: 1—ceramic; 2—stainless steel; 3—PVC; 4—aluminum; 5—drywall; 6—glass; 7—paper; 8—wood; 9—denim; 10—cotton.</p>
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24 pages, 3584 KiB  
Review
Tracking Detectors in Low-Energy Nuclear Physics: An Overview
by Jelena Vesić
Quantum Beam Sci. 2024, 8(3), 24; https://doi.org/10.3390/qubs8030024 - 3 Sep 2024
Viewed by 1360
Abstract
Advances in accelerator technology have enabled the use of exotic and intense radioactive ion beams. Enhancements to tracking detectors are necessary to accommodate increased particle rates. Recent advancements in digital electronics have led to the construction or planning of next-generation detectors. To conduct [...] Read more.
Advances in accelerator technology have enabled the use of exotic and intense radioactive ion beams. Enhancements to tracking detectors are necessary to accommodate increased particle rates. Recent advancements in digital electronics have led to the construction or planning of next-generation detectors. To conduct kinematically complete measurements, it is essential to track and detect all particles produced as a result of the reaction. Furthermore, the need for high-precision physics experiments has led to significant developments in the detector field. In recent years, highly efficient and highly granular tracking detectors have been developed. These detectors significantly enhance the physics programme at dedicated facilities. An overview of charged-particle tracking detectors in low-energy nuclear physics will be given. Full article
(This article belongs to the Special Issue Quantum Beam Science: Feature Papers 2024)
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<p>The layout of the Super-FRS GEM-TPC detector. It shows the two GEM-TPCs inside one vessel. In this configuration, the drift fields of the field cages are in opposite directions. From [<a href="#B6-qubs-08-00024" class="html-bibr">6</a>], reproduced under Licence CC BY-4.0.</p>
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<p>Schematic sketch of a general multigap RPC detector. The avalanches (depicted as a blue star) induce negative signals on the (top) anode electrodes and positive signals on the (bottom) cathode electrodes.</p>
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<p>Schematic depiction of an SE detector coupled with a gaseous one.</p>
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<p>The double field cage of the ACTAR TPC demonstrator apparatus. The pad plane consists of 64 × 32 pixels, each 2 × 2 mm<sup>2</sup> wide. From [<a href="#B37-qubs-08-00024" class="html-bibr">37</a>], reproduced under Licence CC BY-4.0.</p>
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<p>The mechanical design of the ToFD detector. It has an active surface area measuring 1200 × 1000 mm<sup>2</sup> and comprises four planes of scintillators. Each plane features 44 vertical scintillator bars, each measuring 27 × 1000 × 5 mm<sup>3</sup>. From [<a href="#B51-qubs-08-00024" class="html-bibr">51</a>], reproduced under Licence CC BY-4.0.</p>
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<p>The scheme of the R3B Si-tracker mounted in the vacuum chamber with the target disc in the in-beam position. From [<a href="#B78-qubs-08-00024" class="html-bibr">78</a>], reproduced under Licence CC BY-4.0.</p>
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<p>The AIDA detector system: The snout on the left contains several layers of the narrow 8 × 8 cm<sup>2</sup> DSSSDs, while the blue frame hosts the electronics. From [<a href="#B63-qubs-08-00024" class="html-bibr">63</a>], reproduced under Licence CC BY-4.0.</p>
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<p>Left: scheme of the MUGAST detectors inside the chamber. Middle: trapezoidal DSSSD placed at backward angles. Right: MUST2 detectors placed at forward angles. From [<a href="#B98-qubs-08-00024" class="html-bibr">98</a>], reproduced under Licence CC BY-4.0.</p>
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<p>FAZIA detector unit: detectors, FEE, and service cards can be easily distinguished. From [<a href="#B99-qubs-08-00024" class="html-bibr">99</a>], reproduced under Licence CC BY-3.0.</p>
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<p>Schematic representation of STRASSE (silicon tracker: inner barrel (depicted in blue), the outer barrel (depicted in pink)) with its 150 mm thick LH target (depicted in grey) and the CATANA array (layers 2 to 7). From [<a href="#B102-qubs-08-00024" class="html-bibr">102</a>], reproduced under Licence CC BY-4.0.</p>
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18 pages, 17232 KiB  
Article
High Spatial Resolution Detector System Based on Reconfigurable Dual-FPGA Approach for Coincidence Measurements
by Marco Cautero, Fabio Garzetti, Nicola Lusardi, Rudi Sergo, Luigi Stebel, Andrea Costa, Gabriele Bonanno, Enrico Ronconi, Angelo Geraci, Igor Píš, Elena Magnano, Maddalena Pedio and Giuseppe Cautero
Sensors 2024, 24(16), 5233; https://doi.org/10.3390/s24165233 - 13 Aug 2024
Viewed by 902
Abstract
Time-resolved spectroscopic and electron–ion coincidence techniques are essential to study dynamic processes in materials or chemical compounds. For this type of analysis, it is necessary to have detectors capable of providing, in addition to image-related information, the time of arrival for each individual [...] Read more.
Time-resolved spectroscopic and electron–ion coincidence techniques are essential to study dynamic processes in materials or chemical compounds. For this type of analysis, it is necessary to have detectors capable of providing, in addition to image-related information, the time of arrival for each individual detected particle (“x, y, time”). The electronics capable of handling such sensors must meet requirements achievable only with time-to-digital converters (TDC) with a resolution on the order of tens of picoseconds and the use of a field-programmable gate array (FPGA) to manage data acquisition and transmission. This study introduces the design and implementation of an innovative TDC based on two FPGAs working symbiotically with different tasks: the first (AMD/Xilinx Artix® 7) directly implements a TDC, aiming for a temporal precision of 12 picoseconds, while the second (Intel Cyclone® 10) manages the acquisition and connectivity with the external world. The TDC has been optimized to operate on eight channels (+ sync) simultaneously but is potentially extendable to a greater number of channels, making it particularly suitable for coincidence measurements where it is necessary to temporally correlate multiple pieces of information from various measurement systems. Full article
(This article belongs to the Special Issue Application of FPGA-Based Sensor Systems)
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<p>Acquisition chain for single particle detection.</p>
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<p>(<b>a</b>) Microscope image of the MCPs. The contrast of the image was increased to distinguish the deposition of aluminum in the lower half of the device. (<b>b</b>) Microscope image of the cross-delay line detector realized onto a printed circuit board. Contact vias with the orthogonal delay line are visible as small circles.</p>
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<p>(<b>a</b>) Detection of an MCP pulse on a single delay-line. (<b>b</b>) Timing of the events generated by the EM pulse.</p>
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<p>(<b>a</b>) Detail of TDC internal logic for a single channel. Timestamps are obtained from a fine measurement of a TDL and coarse measurement of a counter. (<b>b</b>) Principle of the Nutt-Interpolation on a TDL-TDC.</p>
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<p>PCBs hosting the FPGA-TDC and FPGA-Master connected using a FMC Connector.</p>
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<p>(<b>a</b>) Setup used to measure the precision of the TDC and the influence of the communication interface on such measurements. (<b>b</b>) Motorized stage with micrometric resolution used for the CDL calibration. (<b>c</b>) Drawing of the vacuum chamber used to measure the spatial resolution with the masked MCP.</p>
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<p>Precision of the FPGA-TDC measured using different communication interfaces with the FPGA-Master.</p>
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<p>(<b>a</b>) Histogram and Gaussian fit of the timestamps for a fixed delay measured with the TDC and probe coupled capacitively with the CDL. (<b>b</b>) Line profile of an edge of the image and relative fit with error function. (<b>c</b>) Detail of the masked MCP obtained using the imaging setup.</p>
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<p>(<b>a</b>) Comparison of the time-resolved fluorescence yield from a p-doped silicon sample acquired with TDC implemented on FPGA (blue) and on ASIC (red). (<b>b</b>) Enlarged sections of the data shown in (<b>a</b>).</p>
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<p>(<b>a</b>) Comparison of the accuracy of the TDC implemented on FPGA (blue) and on ASIC (red). (<b>b</b>) Comparison of the integrated intensities of laser pulses in counts per second measured under the same experimental conditions.</p>
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