Nothing Special   »   [go: up one dir, main page]

You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (22)

Search Parameters:
Keywords = WLM

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
11 pages, 4306 KiB  
Article
A Novel Characteristic Gastric Mucus Named “Web-like Mucus” Potentially Induced by Vonoprazan
by Hiroaki Kaneko, Hiroki Sato, Yuichi Suzuki, Aya Ikeda, Hirofumi Kuwashima, Ryosuke Ikeda, Takeshi Sato, Kuniyasu Irie, Soichiro Sue and Shin Maeda
J. Clin. Med. 2024, 13(14), 4070; https://doi.org/10.3390/jcm13144070 - 11 Jul 2024
Viewed by 1053
Abstract
Background: In the absence of Helicobacter pylori (HP) infection, a characteristic gastric mucus adhesion may appear during the use of vonoprazan. We named this novel characteristic mucus “web-like mucus” (WLM). This study aimed to determine the incidence and risk factors for WLM. Methods: [...] Read more.
Background: In the absence of Helicobacter pylori (HP) infection, a characteristic gastric mucus adhesion may appear during the use of vonoprazan. We named this novel characteristic mucus “web-like mucus” (WLM). This study aimed to determine the incidence and risk factors for WLM. Methods: Between January 2017 and January 2022, 5665 patients were enrolled in this study. The patients were divided into a proton-pump inhibitor (PPI)-prescribed group (n = 2000), a vonoprazan-prescribed group (n = 268), and a no-PPI/vonoprazan-prescribed (n = 3397) group, and the presence of WLM was examined. After excluding four patients with autoimmune gastritis, the remaining 264 patients in the vonoprazan group were divided into WLM and non-WLM groups, and their clinical features were analyzed. Results: A total of 55 (21%) patients had WLM, all in the vonoprazan-prescribed group. There were no significant differences in factors such as, sex, age, chronic kidney disease, diabetes mellitus, HP eradication history, smoking, or alcohol consumption between the WLM and non-WLM groups. The median duration from the start of vonoprazan administration to the endoscopic detection of WLM was 2 (1–24) months. Conclusions: WLM appears to be a characteristic feature in patients treated with vonoprazan. Full article
(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)
Show Figures

Figure 1

Figure 1
<p>Typical case with WLM and spiderweb. WLM, web-like mucus.</p>
Full article ">Figure 2
<p>(<b>A</b>) Typical gastric mucus due to <span class="html-italic">H. pylori</span> infection that (<b>B</b>) can be easily removed by washing or brushing endoscopically. (<b>C</b>) Typical sticky and adherent, dense mucus seen in autoimmune gastritis. (<b>D</b>) Although it adheres strongly to the mucosa, it can be removed by careful washing.</p>
Full article ">Figure 3
<p>Flow diagram of patient selection. AIG, autoimmune gastritis; EGD, esophagogastroduodenoscopy; PPI, proton-pump inhibitor; PCAB, potassium competitive acid blocker; WLM, web-like mucus.</p>
Full article ">Figure 4
<p>Comparison of the number of WLM occurrences. PPI, proton-pump inhibitor; WLM, web-like mucus.</p>
Full article ">Figure 5
<p>Box-plot of months of vonoprazan administration with and without WLM. WLM, web-like mucus.</p>
Full article ">Figure 6
<p>(<b>A</b>) WLM with cobblestone gastric mucosa. (<b>B</b>) WLM with gastric mucosal redness. (<b>C</b>) WLM with stardust gastric mucosa. WLM, web-like mucus.</p>
Full article ">
11 pages, 2417 KiB  
Article
Hybrid Polymer–Surfactant Wormlike Micelles for Concurrent Use for Oil Recovery and Drag Reduction
by Alexander L. Kwiatkowski, Vyacheslav S. Molchanov, Yuri M. Chesnokov, Oleksandr I. Ivankov and Olga E. Philippova
Polymers 2023, 15(23), 4615; https://doi.org/10.3390/polym15234615 - 4 Dec 2023
Cited by 3 | Viewed by 1252
Abstract
We report on the effect of a hydrocarbon (n-dodecane) on the rheological properties and shapes of the hybrid wormlike micelles (WLMs) of a surfactant potassium oleate with an embedded polymer poly(4-vinylpyridine). With and without hydrocarbon solutions, the hybrid micelles exhibit the same values [...] Read more.
We report on the effect of a hydrocarbon (n-dodecane) on the rheological properties and shapes of the hybrid wormlike micelles (WLMs) of a surfactant potassium oleate with an embedded polymer poly(4-vinylpyridine). With and without hydrocarbon solutions, the hybrid micelles exhibit the same values of viscosity at shear rates typical for hydraulic fracturing (HF) tests, as solutions of polymer-free WLMs. Therefore, similar to WLMs of surfactants, they could be applied as thickeners in HF fluids without breakers. At the same time, in the presence of n-dodecane, the hybrid micelles have much higher drag-reducing efficiency compared to microemulsions formed in polymer-free systems since they form “beads-on-string” structures according to results obtained using cryo-transmission electron microscopy (cryo-TEM), dynamic-light scattering (DLS), and small-angle X-ray scattering (SAXS). Consequently, they could also act as drag-reducing agents in the pipeline transport of recovered oil. Such a unique multi-functional additive to a fracturing fluid, which permits its concurrent use in oil production and oil transportation, has not been proposed before. Full article
(This article belongs to the Section Polymer Networks)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Cryo-TEM images of WLMs in 1.5 wt% aqueous solutions of potassium oleate without additives (<b>A</b>); 1.5 wt% aqueous solutions of potassium oleate saturated with 0.2 wt% of P4VP (<b>B</b>); 1.5 wt% aqueous solutions of potassium oleate with 1 wt% n-dodecane (<b>C</b>); 1.5 wt% aqueous solutions of potassium oleate saturated with 0.2 wt% of P4VP upon addition of 1 wt % n-dodecane (<b>D</b>) at pH 11. Concentration of KCl: 6 wt%. Arrows and circles denote loops and branches, respectively. Scale bars represent 50 nm.</p>
Full article ">Figure 1 Cont.
<p>Cryo-TEM images of WLMs in 1.5 wt% aqueous solutions of potassium oleate without additives (<b>A</b>); 1.5 wt% aqueous solutions of potassium oleate saturated with 0.2 wt% of P4VP (<b>B</b>); 1.5 wt% aqueous solutions of potassium oleate with 1 wt% n-dodecane (<b>C</b>); 1.5 wt% aqueous solutions of potassium oleate saturated with 0.2 wt% of P4VP upon addition of 1 wt % n-dodecane (<b>D</b>) at pH 11. Concentration of KCl: 6 wt%. Arrows and circles denote loops and branches, respectively. Scale bars represent 50 nm.</p>
Full article ">Figure 2
<p>Flow curves for 1.5 wt% aqueous solutions of potassium oleate without polymer (squares) and saturated with 0.2 wt% P4VP (circles) in the absence of hydrocarbon (<b>A</b>) and in the presence of 1 wt% n-dodecane (<b>B</b>) at pH of 11. Concentration of KCl: 6 wt%. Slopes of the shear-thinning regions are indicated in the Figure. Vertical dashed lines (<b>A</b>) limit the range of the shear rates that are typical for in situ HF tests. Horizontal dashed lines (<b>B</b>) correspond to the viscosity of n-dodecane and water.</p>
Full article ">Figure 3
<p>Distributions of hydrodynamic radii in (<b>A</b>) solutions of beads-on-string structures formed from hybrid P4VP-potassium oleate micelles upon addition of n-dodecane; (<b>B</b>) microemulsion droplets formed from polymer-free potassium oleate micelles upon addition of n-dodecane (black); (<b>C</b>) P4VP in ethanol. SAXS profiles (<span class="html-italic">I</span> vs. <span class="html-italic">Q</span>) of aqueous solutions of beads-on-string structures formed from hybrid P4VP-potassium oleate micelles upon addition of n-dodecane (<b>D</b>) and microemulsion droplets formed from polymer-free potassium oleate micelles upon addition of n-dodecane (<b>E</b>). Solid line is the fit of the scattering data from microemulsion by form-factor of core-shell sphere. The concentrations of potassium oleate, P4VP, and n-dodecane are 1.5, 0.2, and 1 wt%, respectively. Concentration of KCl: 6 wt%. The straight lines indicate the slopes of the scattering curves in low-<span class="html-italic">Q</span> region. Temperature was 20 °C.</p>
Full article ">Figure 4
<p>Dependences of first normal stress difference <span class="html-italic">N</span><sub>1</sub> vs. shear rate of water (stars), aqueous solutions of hybrid P4VP-potassium oleate micelles without hydrocarbon (triangles), beads-on-string structures formed from hybrid P4VP-potassium oleate micelles upon addition of n-dodecane (circles), and microemulsion droplets formed from polymer-free potassium oleate micelles upon addition of n-dodecane (squares). Dashed lines point out critical shear rates, at which turbulence is initiated. The concentrations of potassium oleate, P4VP, and n-dodecane are 1.5, 0.2, and 1 wt%, respectively. Concentration of KCl: 6 wt%.</p>
Full article ">
21 pages, 1509 KiB  
Article
Discovering New B[e] Supergiants and Candidate Luminous Blue Variables in Nearby Galaxies
by Grigoris Maravelias, Stephan de Wit, Alceste Z. Bonanos, Frank Tramper, Gonzalo Munoz-Sanchez and Evangelia Christodoulou
Galaxies 2023, 11(3), 79; https://doi.org/10.3390/galaxies11030079 - 19 Jun 2023
Cited by 2 | Viewed by 1551
Abstract
Mass loss is one of the key parameters that determine stellar evolution. Despite the progress we have achieved over the last decades we still cannot match the observational derived values with theoretical predictions. Even worse, there are certain phases, such as the B[e] [...] Read more.
Mass loss is one of the key parameters that determine stellar evolution. Despite the progress we have achieved over the last decades we still cannot match the observational derived values with theoretical predictions. Even worse, there are certain phases, such as the B[e] supergiants (B[e]SGs) and the Luminous Blue Variables (LBVs), where significant mass is lost through episodic or outburst activity. This leads to various structures forming around them that permit dust formation, making these objects bright IR sources. The ASSESS project aims to determine the role of episodic mass in the evolution of massive stars, by examining large numbers of cool and hot objects (such as B[e]SGs/LBVs). For this purpose, we initiated a large observation campaign to obtain spectroscopic data for ∼1000 IR-selected sources in 27 nearby galaxies. Within this project we successfully identified seven B[e] supergiants (one candidate) and four Luminous Blue Variables of which six and two, respectively, are new discoveries. We used spectroscopic, photometric, and light curve information to better constrain the nature of the reported objects. We particularly noted the presence of B[e]SGs at metallicity environments as low as 0.14 Z. Full article
(This article belongs to the Special Issue Theory and Observation of Active B-type Stars)
Show Figures

Figure 1

Figure 1
<p>Spectra of objects classified as B[e]SGs (including the B[e]SG candidate NGC7793-1). (Left) The full spectra for all stars with small offsets for better illustration purposes. The most prominent emission features are indicated. (Right) The region around H<math display="inline"><semantics> <mi>α</mi> </semantics></math> is highlighted to emphasize the relative strength of the emission compared to the continuum.</p>
Full article ">Figure 2
<p>Similar to <a href="#galaxies-11-00079-f001" class="html-fig">Figure 1</a>, but for LBVc. We note the lack of forbidden emission lines.</p>
Full article ">Figure 3
<p>The region between the [O <span class="html-small-caps">i</span>] and H<math display="inline"><semantics> <mi>α</mi> </semantics></math> line, that showcases multiple Fe <span class="html-small-caps">ii</span> emission lines. We note the clear presence of [O <span class="html-small-caps">i</span>] <math display="inline"><semantics> <mi>λ</mi> </semantics></math>6300 line for the B[e]SGs (left and middle panels, with the exception of the candidate NGC7793-1, due to the problematic spectrum; see text for more) and its absence from the LBVc spectra (right panel).</p>
Full article ">Figure 4
<p>The region around the [Ca <span class="html-small-caps">ii</span>] emission doublet. Its presence is evident in some B[e]SGs (left and middle panels, including NGC7793-1 candidate source, that suffers from data reduction artifacts due to slit overlaps), while LBVc (right panel) do not typically exhibit these lines (except for NGC55-3).</p>
Full article ">Figure 5
<p>The light curves from the Pan-STARRS survey for the B[e]SGs WLM-1 and NGC247-1. Each panel (per filter) shows the difference of each epoch from the mean value (noted on the y-axis label). See text for more.</p>
Full article ">Figure 6
<p>Same as <a href="#galaxies-11-00079-f005" class="html-fig">Figure 5</a>, but for the candidate LBVs NGC3109-1 and NGC247-2.</p>
Full article ">Figure 7
<p>(Left) The mid-IR <span class="html-italic">WISE</span> CCD for B[e]SGs and LBVs, including sources from the MCs (after [<a href="#B7-galaxies-11-00079" class="html-bibr">7</a>]) and our sample (for 5 out of 11 sources with <span class="html-italic">WISE</span> data). In general, the separation also holds for the new sources, with the exception of NGC55-1 (see text for more). (Right) IR CMD combining near-IR <span class="html-italic">J</span>-band (available for only five of our sources) with <span class="html-italic">Spitzer</span> [3.6]. We notice that, in this case, the newly found sources are consistent with the positions of the MC sources.</p>
Full article ">Figure 8
<p>(Left) The optical (<span class="html-italic">Gaia</span>) CMD, plotting BP–RP vs. M<math display="inline"><semantics> <msub> <mrow/> <mi>G</mi> </msub> </semantics></math> magnitude. We included all our sample and the MC sources from [<a href="#B7-galaxies-11-00079" class="html-bibr">7</a>] (except for two sources without a complete dataset in both <span class="html-italic">Gaia</span> and <span class="html-italic">Spitzer</span> surveys). (Right) The mid-IR (<span class="html-italic">Spitzer</span>) CMD using the IR color [3.6]–[4.5] vs. M<math display="inline"><semantics> <msub> <mrow/> <mrow> <mo>[</mo> <mn>4.5</mn> <mo>]</mo> </mrow> </msub> </semantics></math>. In this case, there is a significant improvement in the separation between the two classes. The position of NGC7793-1 favors a B[e]SG nature (see text for more).</p>
Full article ">Figure 9
<p>Similar to <a href="#galaxies-11-00079-f008" class="html-fig">Figure 8</a> but plotting the IR color [3.6]–[4.5] vs. the optical M<math display="inline"><semantics> <msub> <mrow/> <mi>G</mi> </msub> </semantics></math> magnitude. Similar to the IR CMD we saw relatively good separation between the two classes, with LBVs being brighter in the optical and less dusty compared to the B[e]SGs.</p>
Full article ">Figure 10
<p>The cumulative distribution function of the B[e]SGs and LBVs (including candidates) from this work and the literature. We notice (for the first time) the presence of B[e]SGs in lower metallicity environments and the fact that the two populations are not totally different (see text for more).</p>
Full article ">
13 pages, 4002 KiB  
Article
pH-Responsive Viscoelastic Fluids of a C22-Tailed Surfactant Induced by Trivalent Metal Ions
by Zhi Xu, Shuai Yu, Rong Fu, Ji Wang and Yujun Feng
Molecules 2023, 28(12), 4621; https://doi.org/10.3390/molecules28124621 - 7 Jun 2023
Cited by 1 | Viewed by 1265
Abstract
pH-responsive viscoelastic fluids are often achieved by adding hydrotropes into surfactant solutions. However, the use of metal salts to prepare pH-responsive viscoelastic fluids has been less documented. Herein, a pH-responsive viscoelastic fluid was developed by blending an ultra-long-chain tertiary amine, N-erucamidopropyl-N, [...] Read more.
pH-responsive viscoelastic fluids are often achieved by adding hydrotropes into surfactant solutions. However, the use of metal salts to prepare pH-responsive viscoelastic fluids has been less documented. Herein, a pH-responsive viscoelastic fluid was developed by blending an ultra-long-chain tertiary amine, N-erucamidopropyl-N, N-dimethylamine (UC22AMPM), with metal salts (i.e., AlCl3, CrCl3, and FeCl3). The effects of the surfactant/metal salt mixing ratio and the type of metal ions on the viscoelasticity and phase behavior of fluids were systematically examined by appearance observation and rheometry. To elucidate the role of metal ions, the rheological properties between AlCl3− and HCl−UC22AMPM systems were compared. Results showed the above metal salt evoked the low-viscosity UC22AMPM dispersions to form viscoelastic solutions. Similar to HCl, AlCl3 could also protonate the UC22AMPM into a cationic surfactant, forming wormlike micelles (WLMs). Notably, much stronger viscoelastic behavior was evidenced in the UC22AMPM−AlCl3 systems because the Al3+ as metal chelators coordinated with WLMs, promoting the increment of viscosity. By tuning the pH, the macroscopic appearance of the UC22AMPM−AlCl3 system switched between transparent solutions and milky dispersion, concomitant with a viscosity variation of one order of magnitude. Importantly, the UC22AMPM−AlCl3 systems showed a constant viscosity of 40 mPa·s at 80 °C and 170 s−1 for 120 min, indicative of good heat and shear resistances. The metal-containing viscoelastic fluids are expected to be good candidates for high-temperature reservoir hydraulic fracturing. Full article
(This article belongs to the Section Materials Chemistry)
Show Figures

Figure 1

Figure 1
<p>Snapshots of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system with various molar ratios of UC<sub>22</sub>AMPM to AlCl<sub>3</sub> (<span class="html-italic">α</span>). The number at the top of the bottle represents the <span class="html-italic">α</span>.</p>
Full article ">Figure 2
<p>(<b>A</b>) Evolution of the pH of an AlCl<sub>3</sub> solution with increasing concentration. (<b>B</b>) <sup>1</sup>H NMR spectra (CD<sub>3</sub>OD–D<sub>2</sub>O, <span class="html-italic">V</span>/<span class="html-italic">V</span> = 5:1) of neat UC<sub>22</sub>AMPM and UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed systems.</p>
Full article ">Figure 3
<p>(<b>A</b>) Steady rheology of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system with different molar ratios. (<b>B</b>) Dynamic rheology of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system with <span class="html-italic">α</span> = 1:3.</p>
Full article ">Figure 4
<p>(<b>A</b>) Steady rheology of UC<sub>22</sub>AMPM–HCl mixed systems at different pHs. (<b>B</b>) Zero−shear viscosity (<span class="html-italic">η</span><sub>0</sub>) of the UC<sub>22</sub>AMPM solution plotted as a function of AlCl<sub>3</sub> concentration or pH values at 25 °C.</p>
Full article ">Figure 5
<p>Macroscopic appearance of (<b>A</b>) UC<sub>22</sub>AMPM–FeCl<sub>3</sub> and (<b>B</b>) UC<sub>22</sub>AMPM–CrCl<sub>3</sub> mixed systems at different molar ratios at 25 °C, respectively. The number at the top of the bottle represents the molar ratio of UC<sub>22</sub>AMPM to FeCl<sub>3</sub> or CrCl<sub>3</sub>. Steady rheology for (<b>C</b>) UC<sub>22</sub>AMPM–FeCl<sub>3</sub> and (<b>D</b>) UC<sub>22</sub>AMPM–CrCl<sub>3</sub> mixed systems at a different molar ratio at 25 °C, respectively.</p>
Full article ">Figure 6
<p>(<b>A</b>) The <span class="html-italic">η</span><sub>0</sub> of UC<sub>22</sub>AMPM solution plotted as a function of FeCl<sub>3</sub> or CrCl<sub>3</sub> concentration. (<b>B</b>) The pH for the UC<sub>22</sub>AMPM–CrCl<sub>3</sub> and UC<sub>22</sub>AMPM–FeCl<sub>3</sub> solutions plotted as a function of concentration at 25 °C.</p>
Full article ">Figure 7
<p>(<b>A</b>) <span class="html-italic">η</span><sub>0</sub> variations of UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at <span class="html-italic">α</span> = 1:3 by tuning pH. The inserts show macroscopic appearances of UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at pH 7.05 and 3.75, respectively. (<b>B</b>) <span class="html-italic">η</span><sub>0</sub> of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at <span class="html-italic">α</span> = 1:3 against pH cycles between 3.75 and 7.05. Cryo-TEM images of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> blends <span class="html-italic">α</span> = 1:3 at pHs of (<b>C</b>) 3.75 and (<b>D</b>) 7.05.</p>
Full article ">Figure 8
<p>(<b>A</b>) Temperature dependence of the apparent viscosity of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at α = 1:1. (<b>B</b>) Shear time dependence of η for the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system at 60 °C and 80 °C, respectively. The shear rate for all measurements is fixed at 170 s<sup>−1</sup>.</p>
Full article ">Scheme 1
<p>The chemical structure of <span class="html-italic">N</span>-erucamidopropyl-<span class="html-italic">N, N</span>-dimethylamine (UC<sub>22</sub>AMPM).</p>
Full article ">Scheme 2
<p>Schematic illustration of the pH-responsive mechanism of the UC<sub>22</sub>AMPM–AlCl<sub>3</sub> mixed system.</p>
Full article ">
16 pages, 5674 KiB  
Article
Magnetically Driven Manipulation of Nonmagnetic Liquid Marbles: Billiards with Liquid Marbles
by Parnian Azizian, Mahbod Mohammadrashidi, Ali Abbas Azimi, Mohamad Ali Bijarchi, Mohammad Behshad Shafii and Rohollah Nasiri
Micromachines 2023, 14(1), 49; https://doi.org/10.3390/mi14010049 - 25 Dec 2022
Cited by 10 | Viewed by 3596
Abstract
Liquid marbles are droplets encapsulated by a layer of hydrophobic nanoparticles and have been extensively employed in digital microfluidics and lab-on-a-chip systems in recent years. In this study, magnetic liquid marbles were used to manipulate nonmagnetic liquid marbles. To achieve this purpose, a [...] Read more.
Liquid marbles are droplets encapsulated by a layer of hydrophobic nanoparticles and have been extensively employed in digital microfluidics and lab-on-a-chip systems in recent years. In this study, magnetic liquid marbles were used to manipulate nonmagnetic liquid marbles. To achieve this purpose, a ferrofluid liquid marble (FLM) was employed and attracted toward an electromagnet, resulting in an impulse to a water liquid marble (WLM) on its way to the electromagnet. It was observed that the manipulation of the WLM by the FLM was similar to the collision of billiard balls except that the liquid marbles exhibited an inelastic collision. Taking the FLM as the projectile ball and the WLM as the other target balls, one can adjust the displacement and direction of the WLM precisely, similar to an expert billiard player. Firstly, the WLM displacement can be adjusted by altering the liquid marble volumes, the initial distances from the electromagnet, and the coil current. Secondly, the WLM direction can be adjusted by changing the position of the WLM relative to the connecting line between the FLM center and the electromagnet. Results show that when the FLM or WLM volume increases by five times, the WLM shooting distance approximately increases by 200% and decreases by 75%, respectively. Full article
(This article belongs to the Special Issue Micro- and Nano-Systems for Manipulation, Actuation and Sensing)
Show Figures

Figure 1

Figure 1
<p>Schematic of the apparatus.</p>
Full article ">Figure 2
<p>(<b>a</b>) Sideview of the WLM and FLM with volumes of 150 μL and 250 μL, respectively. (<b>b</b>) The magnetic flux density versus the horizontal distance from the coil tip for coil currents of 1.5 A, 3.0 A, and 4.5 A. The vertical distance between the top of the coil and the plane on which FLMs were placed is fixed at 3 mm.</p>
Full article ">Figure 3
<p>Schematic of the WLM shooting distance (<math display="inline"><semantics> <mrow> <msub> <mi mathvariant="normal">L</mi> <mrow> <mi>WLM</mi> </mrow> </msub> <mo stretchy="false">)</mo> </mrow> </semantics></math> in addition to five parameters in this study, including the initial distances of WLM and FLM from the electromagnet (<math display="inline"><semantics> <mrow> <msub> <mi mathvariant="normal">D</mi> <mrow> <mn>0</mn> <mo>,</mo> <mrow> <mi>wlm</mi> <mo> </mo> </mrow> </mrow> </msub> </mrow> </semantics></math>,<math display="inline"><semantics> <mrow> <msub> <mi mathvariant="normal">D</mi> <mrow> <mn>0</mn> <mo>,</mo> <mi>FLM</mi> </mrow> </msub> <mo stretchy="false">)</mo> </mrow> </semantics></math>, the WLM and FLM volumes (<math display="inline"><semantics> <mrow> <msub> <mi mathvariant="normal">V</mi> <mrow> <mi>WLM</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="normal">V</mi> <mrow> <mi>FLM</mi> </mrow> </msub> <mo stretchy="false">)</mo> </mrow> </semantics></math>, and the coil current (I).</p>
Full article ">Figure 4
<p>The process of launching a WLM with an FLM with volumes of 30 μL, initial distances from the electromagnet of 10 mm and 30 mm, respectively, and the coil current of 3 A. (i–iii) FLM moves toward the electromagnet while WLM is stationary. (iv, v) FLM impacts the WLM, and LMs stick and move together toward the electromagnet. (vi–vii) FLM stops at the top of the coil, while WLM continues its motion due to its high inertia.</p>
Full article ">Figure 5
<p>(<b>a</b>) Position and (<b>b</b>) velocity of FLM and WLM versus time for liquid marble volumes of 30 μL, coil current of 3 A, and FLM and WLM initial distances of 30 mm and 10 mm from the electromagnet, respectively.</p>
Full article ">Figure 5 Cont.
<p>(<b>a</b>) Position and (<b>b</b>) velocity of FLM and WLM versus time for liquid marble volumes of 30 μL, coil current of 3 A, and FLM and WLM initial distances of 30 mm and 10 mm from the electromagnet, respectively.</p>
Full article ">Figure 6
<p>WLM shooting distance versus WLM initial distance from the electromagnet for liquid marble volumes of 10, 30, and 50 μL, FLM initial distance of 30 mm from the electromagnet, and coil current of 3 A.</p>
Full article ">Figure 7
<p>WLM shooting distance versus FLM initial distance from the electromagnet for liquid marble volumes of 10, 30, and 50 μL, WLM initial distance of 0 mm from the electromagnet, and coil current of 3 A.</p>
Full article ">Figure 8
<p>WLM shooting distance versus WLM volume for WLM initial distances of 0, 10, and 20 mm from the electromagnet, FLM volume and initial distance of 30 μL and 30 mm from the electromagnet, respectively, and the coil current of 3 A.</p>
Full article ">Figure 9
<p>WLM shooting distance versus FLM volume for FLM initial distances of 20, 30, and 40 mm from the electromagnet, WLM volume and initial distance of 30 μL and 0 mm from the electromagnet, respectively, and coil current of 3 A.</p>
Full article ">Figure 10
<p>WLM shooting distance versus coil current for FLM initial distances of 20, 30, and 40 mm, WLM initial distance of 0 mm from the electromagnet, and liquid marble volumes of 30 μL.</p>
Full article ">Figure 11
<p>(<b>a</b>) Schematic of a WLM placed with an off-center position from the connecting line between the FLM center and the electromagnet tip, leading to a nonstraight WLM motion path. (<b>b</b>) A sequence of pictures of the straight and nonstraight collisions between FLM and WLM with volumes of 20 μL, initial distances of 30 mm and 0 mm from the electromagnet, respectively, and coil current of 3 A. (<b>c</b>) WLM shooting distance versus WLM shooting path degree from the FLM path (the red line is fitted linearly to the experimental data.).</p>
Full article ">Figure 11 Cont.
<p>(<b>a</b>) Schematic of a WLM placed with an off-center position from the connecting line between the FLM center and the electromagnet tip, leading to a nonstraight WLM motion path. (<b>b</b>) A sequence of pictures of the straight and nonstraight collisions between FLM and WLM with volumes of 20 μL, initial distances of 30 mm and 0 mm from the electromagnet, respectively, and coil current of 3 A. (<b>c</b>) WLM shooting distance versus WLM shooting path degree from the FLM path (the red line is fitted linearly to the experimental data.).</p>
Full article ">
15 pages, 1715 KiB  
Article
Coherence Function and Adaptive Noise Cancellation Performance of an Acoustic Sensor System for Use in Detecting Coronary Artery Disease
by Matthew Fynn, Sven Nordholm and Yue Rong
Sensors 2022, 22(17), 6591; https://doi.org/10.3390/s22176591 - 31 Aug 2022
Cited by 4 | Viewed by 2187
Abstract
Adaptive noise cancellation is a useful linear technique to attenuate unwanted background noise that cannot be removed using traditional frequency-selective filters. Usually, this is due to the signal and noise co-existing in the same frequency band. This paper tests a weighted least mean [...] Read more.
Adaptive noise cancellation is a useful linear technique to attenuate unwanted background noise that cannot be removed using traditional frequency-selective filters. Usually, this is due to the signal and noise co-existing in the same frequency band. This paper tests a weighted least mean squares (WLMS) algorithm on a stethoscope system for use in detecting coronary artery disease in the presence of background noise. Each stethoscope is equipped with two microphones: one used to detect heart signals and one used to detect background noise. The WLMS method was used for four different sources of background noise whilst measuring a heartbeat, including a single tone, multiple tones, hospital/clinic noise, and breathing noise. The magnitude-squared coherence between both microphones was unity for the tone scenarios, resulting in complete attenuation. For the other background noise sources, a less-than-unity magnitude-squared coherence resulted in minor and no attenuation. Thus, the coherence function is a tool that can be used to predict the amount of attenuation achievable by linear adaptive noise-cancellation techniques, such as WLMS, as presented in this article. Full article
(This article belongs to the Special Issue Wearable Sensors and Internet of Things for Biomedical Monitoring)
Show Figures

Figure 1

Figure 1
<p>Single stethoscope. HM facing upward (<b>left</b>) and BNM facing upward (<b>right</b>).</p>
Full article ">Figure 2
<p>Using a secondary sensor for noise cancellation. Adapted from [<a href="#B14-sensors-22-06591" class="html-bibr">14</a>].</p>
Full article ">Figure 3
<p>Adaptive noise canceller. Adapted from [<a href="#B14-sensors-22-06591" class="html-bibr">14</a>].</p>
Full article ">Figure 4
<p>Linear system model.</p>
Full article ">Figure 5
<p>Adaptive cancellation vs. the squared coherence between <math display="inline"><semantics> <msub> <mi>v</mi> <mn>2</mn> </msub> </semantics></math> and <span class="html-italic">x</span>.</p>
Full article ">Figure 6
<p>(<b>a</b>) Stethoscope taped to chest recording heartbeat with BNM exposed. (<b>b</b>) Background noise played through Fostex 6301B Speaker.</p>
Full article ">Figure 7
<p>The 300 Hz tone background noise coherence function via Welch.</p>
Full article ">Figure 8
<p>PSD comparison of different filter lengths with 300 Hz tone background noise and <math display="inline"><semantics> <mrow> <mi>μ</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math>. (<b>a</b>) Comparison from 0–400 Hz. (<b>b</b>) Comparison from 260–340 Hz.</p>
Full article ">Figure 9
<p>PSD comparison of different <math display="inline"><semantics> <mi>μ</mi> </semantics></math> values with 300 Hz tone background noise and FL = 512 (<b>a</b>) Comparison from 0–400 Hz. (<b>b</b>) Comparison from 260–340 Hz.</p>
Full article ">Figure 10
<p>PSD comparison for different <math display="inline"><semantics> <mi>μ</mi> </semantics></math> vales with 300 Hz tone background noise using a conventional LMS algorithm. FL = 512.</p>
Full article ">Figure 11
<p>The 200, 300, and 500 Hz tone background noise coherence function via Welch.</p>
Full article ">Figure 12
<p>WLMS algorithm on changing tones. FL = 512, <math display="inline"><semantics> <mrow> <mi>μ</mi> <mo>=</mo> </mrow> </semantics></math> 0.1 (<b>a</b>) PSD Comparison. (<b>b</b>) Spectrogram comparison.</p>
Full article ">Figure 13
<p>WLMS algorithm on hospital/clinic background noise. (<b>a</b>) Coherence function via Welch (<b>b</b>) Spectrogram comparison.</p>
Full article ">Figure 14
<p>(<b>a</b>) Breathing noise coherence function via Welch; (<b>b</b>) Spectrogram comparison.</p>
Full article ">
22 pages, 7018 KiB  
Review
Development of CO2-Sensitive Viscoelastic Fracturing Fluid for Low Permeability Reservoirs: A Review
by Allah Bakhsh, Liang Zhang, Huchao Wei, Azizullah Shaikh, Nasir Khan, Zeeshan Khan and Ren Shaoran
Processes 2022, 10(5), 885; https://doi.org/10.3390/pr10050885 - 29 Apr 2022
Cited by 6 | Viewed by 2163
Abstract
There are economic and technical challenges to overcome when increasing resource recovery from low permeability reservoirs. For such reservoirs, the hydraulic fracturing plan with the development of clean and less expensive fracturing fluid plays a vital aspect in meeting the energy supply chain. [...] Read more.
There are economic and technical challenges to overcome when increasing resource recovery from low permeability reservoirs. For such reservoirs, the hydraulic fracturing plan with the development of clean and less expensive fracturing fluid plays a vital aspect in meeting the energy supply chain. Numerous recent published studies have indicated that research on worm-like micelles (WLMs) based on viscoelastic surfactant (VES) fluid has progressed substantially. This study looks at the development of CO2-sensitive viscoelastic fracturing fluid (CO2-SVFF), its applications, benefits, limitations, and drawbacks of conventional fracturing fluids. The switchable viscoelasticity of CO2-SVFF system signifies how reusing of this fluid is attained. Compared to conventional surfactants, the CO2-SVFF system can be switched to high viscosity (to fracture formation and transporting proppants) and low viscosity (easy removal after causing fracture). The effect of pH, conductivity, temperature, and rheological behaviors of CO2-SVFFs are also highlighted. Further, the aid of Gemini surfactants and nanoparticles (NPs) with low concentrations in CO2-SVFF can improve viscoelasticity and extended stability to withstand high shear rates and temperatures during the fracturing process. These studies provide insight into future knowledge that might lead to a more environmentally friendly and successful CO2-SVFFs in low-permeability reservoirs. Despite the increased application of CO2-SVFFs, there are still several challenges (i.e., formation with high-temperature range, pressure, and salinity). Full article
(This article belongs to the Section Energy Systems)
Show Figures

Figure 1

Figure 1
<p>The effect of additional counter ions on the behavior of the VES phase [<a href="#B42-processes-10-00885" class="html-bibr">42</a>].</p>
Full article ">Figure 2
<p>Sketch diagram displaying the preparation process of CO<sub>2</sub>-SVFF.</p>
Full article ">Figure 3
<p>CO<sub>2</sub>-responsive functional groups that are commonly used [<a href="#B101-processes-10-00885" class="html-bibr">101</a>].</p>
Full article ">Figure 4
<p>The system’s self-assembly technique, triggered by CO<sub>2</sub>, is schematically illustrated [<a href="#B102-processes-10-00885" class="html-bibr">102</a>].</p>
Full article ">Figure 5
<p>The figure depicts the Pseudogemini Surfactant Micellar System’s Switching Mechanism [<a href="#B88-processes-10-00885" class="html-bibr">88</a>].</p>
Full article ">Figure 6
<p>The mechanism that governs CO<sub>2</sub>-air switchable wormlike micelles “Reproduced with permission from Ref. [<a href="#B100-processes-10-00885" class="html-bibr">100</a>]; 2022, Royal Society of Chemistry”.</p>
Full article ">Figure 7
<p>At ambient temperature, zero-shear viscosity of 150 mM NaOA and 50 mM TMTAD in aqueous solution with bubbling CO<sub>2</sub> (reduction in pH) [<a href="#B102-processes-10-00885" class="html-bibr">102</a>].</p>
Full article ">Figure 8
<p>The conductivity of a Dimethyl sulfoxide (DMSO) solution as a time-dependent throughout 3 phases of CO<sub>2</sub> treatment followed by argon at 23 °C [<a href="#B111-processes-10-00885" class="html-bibr">111</a>].</p>
Full article ">Figure 9
<p>At atmospheric temperature and pressure (unless when gel-breaking at 80 °C), 3% erucamidopropyl dimethylamine (EA) solution with switchable zero-shear viscosity [<a href="#B32-processes-10-00885" class="html-bibr">32</a>].</p>
Full article ">Figure 10
<p>2.0 wt% ODPTA aqueous dispersion: (<b>A</b>) the initial dispersion; (<b>B</b>) bubbling CO<sub>2</sub> (0.1 MPa); (<b>C</b>) switching CO<sub>2</sub> with N<sub>2</sub> (0.1 MPa) at 75 °C; and (<b>D</b>) altering the pH with HCl as in (<b>B</b>) “Reproduced with permission from Ref. [<a href="#B112-processes-10-00885" class="html-bibr">112</a>]; 2022, Royal Society of Chemistry”.</p>
Full article ">Figure 11
<p>The aqueous solution of C18SNa (200 mM) and DMAE (200 mM) was transitioned from low and high zero-shear viscosity phases by switching CO<sub>2</sub> (1 bar) and N<sub>2</sub> (1 bar) treatments for three series at 60 °C (<b>a</b>); The water solution was produced by mixing 100 mL distilled water with C<sub>18</sub>SNa and manually agitating it at 60 °C for several minutes. It was viscous, with a viscosity of 1.1 mPas. After adding the DMAE, the viscosity was 1.2 mPas. After 15 minutes of sparging CO<sub>2</sub> at 60 °C, the solution formed a gel with a viscosity of 26200 mPa·s. (<b>b</b>); the viscosity was restored to its previous value of 1.2 mPa·s after sparging N<sub>2</sub> for 50 minutes at 60 °C (<b>c</b>). “Reproduced with permission from Ref. [<a href="#B113-processes-10-00885" class="html-bibr">113</a>]; 2022, Royal Society of Chemistry”.</p>
Full article ">Figure 12
<p>Shear viscosities in steady-state for 100 mM EADP aqueous systems with various additives (<b>a</b>); For EADP solutions with various additives, storage and loss modulus versus frequency (<b>b</b>) [<a href="#B115-processes-10-00885" class="html-bibr">115</a>].</p>
Full article ">Figure 13
<p>Shear resistance test at 25 °C [<a href="#B103-processes-10-00885" class="html-bibr">103</a>].</p>
Full article ">Figure 14
<p>Shear viscosity of a 3% EA solution with inorganic salts: (<b>a</b>) KCl and NaCl are monovalent salts; (<b>b</b>) MgCl<sub>2</sub> and CaCl<sub>2</sub> are divalent salts [<a href="#B32-processes-10-00885" class="html-bibr">32</a>].</p>
Full article ">Figure 15
<p>Viscosity plots to time for various shear rates and CO<sub>2</sub> pressures and temperatures. (<b>a</b>) At 800 pressure and 25 °C, the viscosity of a 2 percent in an aqueous solution of EA with no CO<sub>2</sub> was low but improved dramatically after bubbling CO<sub>2</sub>. (<b>b</b>) The viscosity of 3% EA at various CO<sub>2</sub> pressures and temperatures of 25 °C. (<b>c</b>) The viscosity of a 3% EA aqueous solution at 25 °C and 70 °C under CO<sub>2</sub> pressure of 1200 psi [<a href="#B32-processes-10-00885" class="html-bibr">32</a>].</p>
Full article ">Figure 16
<p>(<b>A</b>) Static rheology and (<b>B</b>) dynamic rheology of 50 mM CTAB-NaSal-TEA before and after bubbling CO<sub>2</sub> at 25 °C (with a molar ratio of 1:1:5) [<a href="#B117-processes-10-00885" class="html-bibr">117</a>].</p>
Full article ">Figure 17
<p>Viscosity measurement of gel breaking fluid using kerosene, 25 °C [<a href="#B103-processes-10-00885" class="html-bibr">103</a>].</p>
Full article ">
15 pages, 4697 KiB  
Article
Experimental Study on the Stability of a Novel Nanocomposite-Enhanced Viscoelastic Surfactant Solution as a Fracturing Fluid under Unconventional Reservoir Stimulation
by Xiaodong Si, Mingliang Luo, Mingzhong Li, Yuben Ma, Yige Huang and Jingyang Pu
Nanomaterials 2022, 12(5), 812; https://doi.org/10.3390/nano12050812 - 28 Feb 2022
Cited by 6 | Viewed by 1947
Abstract
Fe3O4@ZnO nanocomposites (NCs) were synthesized to improve the stability of the wormlike micelle (WLM) network structure of viscoelastic surfactant (VES) fracturing fluid and were characterized by Fourier transform infrared spectrometry (FT-IR), scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), [...] Read more.
Fe3O4@ZnO nanocomposites (NCs) were synthesized to improve the stability of the wormlike micelle (WLM) network structure of viscoelastic surfactant (VES) fracturing fluid and were characterized by Fourier transform infrared spectrometry (FT-IR), scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), X-ray diffraction (XRD) and vibrating sample magnetometry (VSM). Then, an NC-enhanced viscoelastic surfactant solution as a fracturing fluid (NC-VES) was prepared, and its properties, including settlement stability, interactions between NCs and WLMs, proppant-transporting performance and gel-breaking properties, were systematically studied. More importantly, the influences of the NC concentration, shear rate, temperature and pH level on the stability of NC-VES were systematically investigated. The experimental results show that the NC-VES with a suitable content of NCs (0.1 wt.%) shows superior stability at 95 °C or at a high shear rate. Meanwhile, the NC-VES has an acceptable wide pH stability range of 6–9. In addition, the NC-VES possesses good sand-carrying performance and gel-breaking properties, while the NCs can be easily separated and recycled by applying a magnetic field. The temperature-resistant, stable and environmentally friendly fracturing fluid opens an opportunity for the future hydraulic fracturing of unconventional reservoirs. Full article
(This article belongs to the Special Issue Metal Oxide Nanomaterials: From Fundamental to Applications)
Show Figures

Figure 1

Figure 1
<p>Test of the settlement stability (<b>a</b>) and proppant-transporting performance (<b>b</b>).</p>
Full article ">Figure 2
<p>FT-IR spectra of the samples, (<b>a</b>) Fe<sub>3</sub>O<sub>4</sub>@ZnO, <b>(b</b>) Fe<sub>3</sub>O<sub>4</sub>, (<b>c</b>) ZnO.</p>
Full article ">Figure 3
<p>SEM (<b>left</b>) and EDS analysis (<b>right</b>) of Fe<sub>3</sub>O<sub>4</sub> (<b>a</b>), ZnO (<b>b</b>) and Fe<sub>3</sub>O<sub>4</sub>@ZnO (<b>c</b>).</p>
Full article ">Figure 4
<p>Particle size distribution of Fe<sub>3</sub>O<sub>4</sub>, ZnO and Fe<sub>3</sub>O<sub>4</sub>@ZnO nanoparticles.</p>
Full article ">Figure 5
<p>XRD patterns for synthesized nanoparticles (<b>a</b>) and Rietveld refinement of the XRD data of the Fe<sub>3</sub>O<sub>4</sub>@ZnO composite (<b>b</b>).</p>
Full article ">Figure 6
<p>Magnetization of the Fe<sub>3</sub>O<sub>4</sub> NPs and Fe<sub>3</sub>O<sub>4</sub>@ZnO NCs.</p>
Full article ">Figure 7
<p>Viscosity as a function of shear rate at different NC concentrations.</p>
Full article ">Figure 8
<p>Variations of storage modulus (G′) and loss modulus (G″) with frequency at 25 °C.</p>
Full article ">Figure 9
<p>Settlement rate as a function of temperature, in which the insertions from left to right refer to the stable state of the NC-WLM system at 25 °C, 65 °C and 95 °C respectively.(OTAC: 0.287 mmol/L; NaSal: 0.312 mmol/L).</p>
Full article ">Figure 10
<p>Viscosity as a function of time at high temperature (heated to 95 °C).</p>
Full article ">Figure 11
<p>Schematic diagram of the stability of the NC-WLM network structure at high temperatures.</p>
Full article ">Figure 12
<p>Settlement rate as a function of pH (<b>a</b>) and behaviour of NCs in deionized water without of WLMs (<b>b</b>).</p>
Full article ">Figure 13
<p>Gel-breaking test and the separation of NCs by a magnet.</p>
Full article ">
15 pages, 1419 KiB  
Article
A Multifractal Analysis and Machine Learning Based Intrusion Detection System with an Application in a UAS/RADAR System
by Ruohao Zhang, Jean-Philippe Condomines and Emmanuel Lochin
Drones 2022, 6(1), 21; https://doi.org/10.3390/drones6010021 - 12 Jan 2022
Cited by 18 | Viewed by 3770
Abstract
The rapid development of Internet of Things (IoT) technology, together with mobile network technology, has created a never-before-seen world of interconnection, evoking research on how to make it vaster, faster, and safer. To support the ongoing fight against the malicious misuse of networks, [...] Read more.
The rapid development of Internet of Things (IoT) technology, together with mobile network technology, has created a never-before-seen world of interconnection, evoking research on how to make it vaster, faster, and safer. To support the ongoing fight against the malicious misuse of networks, in this paper we propose a novel algorithm called AMDES (unmanned aerial system multifractal analysis intrusion detection system) for spoofing attack detection. This novel algorithm is based on both wavelet leader multifractal analysis (WLM) and machine learning (ML) principles. In earlier research on unmanned aerial systems (UAS), intrusion detection systems (IDS) based on multifractal (MF) spectral analysis have been used to provide accurate MF spectrum estimations of network traffic. Such an estimation is then used to detect and characterize flooding anomalies that can be observed in an unmanned aerial vehicle (UAV) network. However, the previous contributions have lacked the consideration of other types of network intrusions commonly observed in UAS networks, such as the man in the middle attack (MITM). In this work, this promising methodology has been accommodated to detect a spoofing attack within a UAS. This methodology highlights a robust approach in terms of false positive performance in detecting intrusions in a UAS location reporting system. Full article
(This article belongs to the Section Drone Communications)
Show Figures

Figure 1

Figure 1
<p>General framework of the proposed IDS system.</p>
Full article ">Figure 2
<p>A simplified LSTM unit.</p>
Full article ">Figure 3
<p>Typical architecture of a Bi-LSTM.</p>
Full article ">Figure 4
<p>The process of dataset generation.</p>
Full article ">Figure 5
<p>WLM <math display="inline"><semantics> <mrow> <mi>D</mi> <mo>(</mo> <mi>h</mi> <mo>)</mo> </mrow> </semantics></math> signatures of: (<b>left</b>) normal traces, (<b>right</b>) abnormal traces.</p>
Full article ">Figure 6
<p>Confusion matrix of the performance verification with LSTM.</p>
Full article ">Figure 7
<p>Verification with LSTM at different intensities.</p>
Full article ">Figure 8
<p>Confusion matrix of the performance verification with SVM.</p>
Full article ">Figure 9
<p>Verification with SVM at different intensities.</p>
Full article ">
9 pages, 1735 KiB  
Communication
Locking Multi-Laser Frequencies to a Precision Wavelength Meter: Application to Cold Atoms
by Junwoo Kim, Keumhyun Kim, Dowon Lee, Yongha Shin, Sungsam Kang, Jung-Ryul Kim, Youngwoon Choi, Kyungwon An and Moonjoo Lee
Sensors 2021, 21(18), 6255; https://doi.org/10.3390/s21186255 - 18 Sep 2021
Cited by 6 | Viewed by 3681
Abstract
We herein report a simultaneous frequency stabilization of two 780-nm external cavity diode lasers using a precision wavelength meter (WLM). The laser lock performance is characterized by the Allan deviation measurement in which we find σy=1012 at an [...] Read more.
We herein report a simultaneous frequency stabilization of two 780-nm external cavity diode lasers using a precision wavelength meter (WLM). The laser lock performance is characterized by the Allan deviation measurement in which we find σy=1012 at an averaging time of 1000 s. We also obtain spectral profiles through a heterodyne spectroscopy, identifying the contribution of white and flicker noises to the laser linewidth. The frequency drift of the WLM is measured to be about 2.0(4) MHz over 36 h. Utilizing the two lasers as a cooling and repumping field, we demonstrate a magneto-optical trap of 87Rb atoms near a high-finesse optical cavity. Our laser stabilization technique operates at broad wavelength range without a radio frequency element. Full article
(This article belongs to the Special Issue Optical Imaging, Optical Sensing and Devices)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Wavelength meter (WLM) system. Photonic crystal fiber (PCF); Charge-coupled device (CCD). (<b>b</b>) Experimental setting. Laser output is distributed to three optical paths: locking laser frequency, heterodyne spectroscopy, and generation of magneto-optical trap (MOT). Peripheral component interconnect (PCI); External cavity diode laser (ECDL); Photodiode (PD); Single mode fiber (SMF). Blue and red solid lines refer laser fields and black dashed lines indicate electronic signal.</p>
Full article ">Figure 2
<p>(<b>a</b>) Allan deviation of laser frequency when external cavity diode laser (ECDL) 1 is unlocked (black), locked with single wavelength meter channel (red), locked at switch mode with two channels (blue). Wavelengths of ECDL 1 and 2 are stabilized simultaneously in the switch mode. (<b>b</b>) Measurement result of ECDL 2. Legend is same as that of (<b>a</b>).</p>
Full article ">Figure 3
<p>Heterodyne measurement result. Spectrum of beat note of two lasers when the frequency difference is (<b>a</b>) 20 MHz, (<b>b</b>) 60 MHz, and (<b>c</b>) 100 MHz. Black circles are experimental data and red lines are fit with Voigt functions.</p>
Full article ">Figure 4
<p>Measurement result of wavelength meter’s frequency drift. Laser frequency, stabilized to a transition of atomic rubidium, is shown in red. Laboratory temperature is shown in blue. Uncertainties of temperature measurement are systematic errors.</p>
Full article ">Figure 5
<p>(<b>a</b>) Schematic of our magneto-optical trap (MOT, white ball in the center) above an optical cavity. (<b>b</b>) Fluorescence image of trapped <math display="inline"><semantics> <msup> <mrow/> <mn>87</mn> </msup> </semantics></math>Rb atoms. Scale bar indicates 1 mm. (<b>c</b>) MOT fluorescence count rate as a function of cooling laser frequency. Error bars correspond to one standard deviation of measured count rates.</p>
Full article ">
14 pages, 4338 KiB  
Article
Experimental Study on the Drag Reduction Performance of Clear Fracturing Fluid Using Wormlike Surfactant Micelles and Magnetic Nanoparticles under a Magnetic Field
by Ming-Liang Luo, Xiao-Dong Si, Ming-Zhong Li, Xiao-Han Jia, Yu-Ling Yang and Yong-Ping Zhan
Nanomaterials 2021, 11(4), 885; https://doi.org/10.3390/nano11040885 - 31 Mar 2021
Cited by 17 | Viewed by 2602
Abstract
This paper examines a new study on the synergistic effect of magnetic nanoparticles and wormlike micelles (WLMs) on drag reduction. Fe3O4 magnetic nanoparticles (FE-NPs) are utilized to improve the performance of viscoelastic surfactant (VES) solutions used as fracturing fluids. The [...] Read more.
This paper examines a new study on the synergistic effect of magnetic nanoparticles and wormlike micelles (WLMs) on drag reduction. Fe3O4 magnetic nanoparticles (FE-NPs) are utilized to improve the performance of viscoelastic surfactant (VES) solutions used as fracturing fluids. The chemical composition and micromorphology of the FE-NPs were analyzed with FT-IR and an electron microscope. The stability and interaction of the WLM-particle system were studied by zeta potential and cryo-TEM measurements. More importantly, the influences of the temperature, FE-NP concentration, magnetic field intensity, and direction on the drag reduction rate of WLMs were systematically investigated in a circuit pipe flow system with an electromagnetic unit. The experimental results show that a suitable content of magnetic nanoparticles can enhance the settlement stability and temperature resistance of WLMs. A magnetic field along the flow direction of the fracturing fluid can improve the drag reduction performance of the magnetic WLM system. However, under a magnetic field perpendicular to the direction of fluid flow, an additional flow resistance is generated by the vertical chaining behavior of FE-NPs, which is unfavorable for the drag reduction performance of magnetic VES fracturing fluids. This study may shed light on the mechanism of the synergistic drag reduction effects of magnetic nanoparticles and wormlike micelles. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic of the experimental system: (1) storage tank; (2) screw pump; (3) electromagnetic flowmeter; (4) control unit; (5) connection section of pipeline; (6) measurement section of pipeline; (7) electromagnet; (8) coil; (9) differential pressure transmitter.</p>
Full article ">Figure 2
<p>FT-IR spectra of the untreated (<b>a</b>) and treated (<b>b</b>) ferric oxide nanoparticles (FE-NPs) with sodium oleate.</p>
Full article ">Figure 3
<p>Micrographs of FE-NPs: (<b>a</b>) SEM image of untreated FE-NPs; (<b>b</b>) SEM image of FE-NPs treated with sodium oleate; and (<b>c</b>) TEM image of treated FE-NPs.</p>
Full article ">Figure 4
<p>Zeta potentials of the wormlike micelles (WLMs) with different FE-NP concentrations.</p>
Full article ">Figure 5
<p>Cryo-TEM micrographs of the WLMs with different FE-NP concentrations: (<b>a</b>) 0 wt%; (<b>b</b>) 0.1 wt%; (<b>c</b>) 0.3 wt%; and (<b>d</b>) 0.5 wt%.</p>
Full article ">Figure 6
<p>Effects of the temperature and FE-NP concentration on the drag reduction ability of VES-FF.</p>
Full article ">Figure 7
<p>Drag reduction effect of FE-NPs: (<b>a</b>) water contact angle on the surface of stainless steel vs. the FE-NP concentration and (<b>b</b>) schematic diagram of drag reduction by superhydrophobic nanoparticles.</p>
Full article ">Figure 8
<p>Drag reduction effect of a horizontal magnetic field on VES-FF at 25 °C: (<b>a</b>) Drag reduction rate (DR) vs. horizontal magnetic field intensity (B ≤ 0.1 T); (<b>b</b>) DR vs. horizontal magnetic field intensity (B &gt; 0.1 T); (<b>c</b>) effect of the horizontal magnetic field on the particle–micelle network structure; (<b>d</b>) microphotograph with 500 times magnification of magnetic VES-FF with 0.3 wt% FE-NPs under a weak magnetic field (B = 0.055 T); and (<b>e</b>) microphotograph with 500 times magnification of magnetic VES-FF with 0.3 wt% FE-NPs under a weak magnetic field (B = 0.5 T).</p>
Full article ">Figure 8 Cont.
<p>Drag reduction effect of a horizontal magnetic field on VES-FF at 25 °C: (<b>a</b>) Drag reduction rate (DR) vs. horizontal magnetic field intensity (B ≤ 0.1 T); (<b>b</b>) DR vs. horizontal magnetic field intensity (B &gt; 0.1 T); (<b>c</b>) effect of the horizontal magnetic field on the particle–micelle network structure; (<b>d</b>) microphotograph with 500 times magnification of magnetic VES-FF with 0.3 wt% FE-NPs under a weak magnetic field (B = 0.055 T); and (<b>e</b>) microphotograph with 500 times magnification of magnetic VES-FF with 0.3 wt% FE-NPs under a weak magnetic field (B = 0.5 T).</p>
Full article ">Figure 9
<p>Effect of a vertical magnetic field on the drag reduction ability of magnetic VES-FF: (<b>a</b>) DR as a function of the vertical magnetic field intensity at 25 °C and (<b>b</b>) schematic diagram of the chain resistance increasing behavior of magnetic nanoparticles under a vertical magnetic field.</p>
Full article ">
15 pages, 16623 KiB  
Article
Orienting the Pore Morphology of Core-Shell Magnetic Mesoporous Silica with the Sol-Gel Temperature. Influence on MRI and Magnetic Hyperthermia Properties
by Alexandre Adam, Ksenia Parkhomenko, Paula Duenas-Ramirez, Clémence Nadal, Geoffrey Cotin, Pierre-Emmanuel Zorn, Philippe Choquet, Sylvie Bégin-Colin and Damien Mertz
Molecules 2021, 26(4), 971; https://doi.org/10.3390/molecules26040971 - 12 Feb 2021
Cited by 23 | Viewed by 3608
Abstract
The controlled design of robust, well reproducible, and functional nanomaterials made according to simple processes is of key importance to envision future applications. In the field of porous materials, tuning nanoparticle features such as specific area, pore size and morphology by adjusting simple [...] Read more.
The controlled design of robust, well reproducible, and functional nanomaterials made according to simple processes is of key importance to envision future applications. In the field of porous materials, tuning nanoparticle features such as specific area, pore size and morphology by adjusting simple parameters such as pH, temperature or solvent is highly needed. In this work, we address the tunable control of the pore morphology of mesoporous silica (MS) nanoparticles (NPs) with the sol-gel reaction temperature (Tsg). We show that the pore morphology of MS NPs alone or of MS shell covering iron oxide nanoparticles (IO NPs) can be easily tailored with Tsg orienting either towards stellar (ST) morphology (large radial pore of around 10 nm) below 80 °C or towards a worm-like (WL) morphology (small randomly oriented pores channel network, of 3–4 nm pore size) above 80 °C. The relaxometric and magnetothermal features of IO@STMS or IO@WLMS core shell NPs having respectively stellar or worm-like morphologies are compared and discussed to understand the role of the pore structure for MRI and magnetic hyperthermia applications. Full article
(This article belongs to the Special Issue Advances in Metal Oxide Nanoparticles)
Show Figures

Figure 1

Figure 1
<p>TEM images of MS NPs for different sol-gel reaction temperature: 50 °C, 65 °C, 70 °C, 75 °C, 80 °C and 85 °C. Below 75 °C, the MS present ST pore morphology whereas above 80 °C, WL type appears.</p>
Full article ">Figure 2
<p>Adsorption-desorption isotherms at high relative pressures for the samples STMS50 (<b>A</b>) and WLMS80 (<b>B</b>) including Barrett–Joyner–Halenda (BJH) desorption pore volume plots for STMS50 (inset <b>A</b>) and WLMS80 (inset <b>B</b>).</p>
Full article ">Figure 3
<p>Adsorption isotherms at small relative pressures for STMS50 (<b>A</b>) and WLMS80 (<b>B</b>) including Horvarth–Kawazoe differential pore volume plots for STMS50 (inset <b>A</b>) and WLMS80 (inset <b>B</b>).</p>
Full article ">Figure 4
<p>IO@STMS synthesized at 70 °C (<b>A</b>) and IO@WLMS synthesized at 80 °C (<b>B</b>).</p>
Full article ">Figure 5
<p>Transversal R<sub>2</sub> = 1/T<sub>2</sub> (s<sup>−1</sup>) relaxation rates (<b>A</b>) and longitudinal R<sub>1</sub> = 1/T<sub>1</sub> (s<sup>−1</sup>) relaxation rate (<b>B</b>) as a function of [Fe] (mM) for IO@STMS and IO@WLMS in water at 37 °C and 1.41 T; T<sub>2</sub>-weighted (<b>C</b>) MRI of IO@WLMS and IO@STMS, white, dotted-line circles indicate sample positions.</p>
Full article ">Figure 6
<p>Temperature profiles as a function of time under alternating magnetic field (AMF) for different concentrations of IO@STMS (<b>A</b>) and IO@WLMS (<b>B</b>) including the corresponding SAR values for IO@STMS (<b>C</b>) and IO@WLMS (<b>D</b>).</p>
Full article ">Scheme 1
<p>Scheme illustrating the thermally controlled process to orient the pore morphology of mesoporous silica (MS) and IO@MS NPs from stellate (STMS) to worm like (WLMS).</p>
Full article ">Scheme 2
<p>Coating of IO NPs with stellate (STMS) or worm-like mesoporous silica (WLMS) morphologies.</p>
Full article ">
15 pages, 576 KiB  
Article
Dietary Quality Changes According to the Preceding Maximum Weight: A Longitudinal Analysis in the PREDIMED-Plus Randomized Trial
by Cristina Bouzas, Maria del Mar Bibiloni, Silvia Garcia, David Mateos, Miguel Ángel Martínez-González, Jordi Salas-Salvadó, Dolores Corella, Helmut Schröder, J. Alfredo Martínez, Ángel M. Alonso-Gómez, Julia Wärnberg, Jesús Vioque, Dora Romaguera, José Lopez-Miranda, Ramon Estruch, Francisco J. Tinahones, José Lapetra, Luís Serra-Majem, Aurora Bueno-Cavanillas, Rafael M. Micó-Pérez, Xavier Pintó, Miguel Delgado-Rodríguez, María Ortíz-Ramos, Andreu Altés-Boronat, Bogdana L. Luca, Lidia Daimiel, Emilio Ros, Carmen Sayon-Orea, Nerea Becerra-Tomás, Ignacio Manuel Gimenez-Alba, Olga Castañer, Itziar Abete, Lucas Tojal-Sierra, Jéssica Pérez-López, Andrea Bernabé-Casanova, Marian Martin-Padillo, Antonio Garcia-Rios, Sara Castro-Barquero, José Carlos Fernández-García, José Manuel Santos-Lozano, Cesar I. Fernandez-Lazaro, Pablo Hernández-Alonso, Carmen Saiz, Maria Dolors Zomeño, Maria Angeles Zulet, Maria C. Belló-Mora, F. Javier Basterra-Gortari, Silvia Canudas, Albert Goday and Josep A. Turadd Show full author list remove Hide full author list
Nutrients 2020, 12(10), 3023; https://doi.org/10.3390/nu12103023 - 2 Oct 2020
Cited by 4 | Viewed by 4597
Abstract
One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55–75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups [...] Read more.
One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55–75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups were made according to the difference between baseline measured weight and lifetime maximum reported weight: (a) participants entering the study at their maximum weight, (b) moderate weight loss maintainers (WLM), and (c) large WLM. Data were analyzed by General Linear Model. All participants improved average lifestyle. Participants entering the study at their maximum weight were the most susceptible to improve significantly their dietary quality, assessed by adherence to Mediterranean diet, DII and both healthful and unhealthful provegetarian patterns. People at maximum weight are the most benefitted in the short term by a weight management program. Long term weight loss efforts may also reduce the effect of a weight management program. Full article
(This article belongs to the Special Issue Diet in the Management of Weight Loss)
Show Figures

Figure 1

Figure 1
<p>Flow-chart of the study participants. FFQ: food frequency questionnaire.</p>
Full article ">
9 pages, 410 KiB  
Article
Effects of Collagen Hydrolysates on Human Brain Structure and Cognitive Function: A Pilot Clinical Study
by Seiko Koizumi, Naoki Inoue, Fumihito Sugihara and Michiya Igase
Nutrients 2020, 12(1), 50; https://doi.org/10.3390/nu12010050 - 23 Dec 2019
Cited by 11 | Viewed by 7872
Abstract
This study investigated the effects of collagen hydrolysates (CH) on language cognitive function and brain structure. In this open-label study, 5 g CH was administered once a day for 4 weeks to 30 healthy participants aged 49–63 years. The primary outcome measures were [...] Read more.
This study investigated the effects of collagen hydrolysates (CH) on language cognitive function and brain structure. In this open-label study, 5 g CH was administered once a day for 4 weeks to 30 healthy participants aged 49–63 years. The primary outcome measures were the brain healthcare quotients based on gray matter volume (GM-BHQ) and fractional anisotropy (FA-BHQ). The secondary outcome measures were changes in scores between week 0 and week 4 for word list memory (WLM) and standard verbal paired associate learning (S-PA) tests as well as changes in the physical, mental, and role/social component summary scores of the Short Form-36(SF-36) quality of life instrument. CH ingestion resulted in significant improvements in FA-BHQ (p = 0.0095), a measure of brain structure, as well in scores for the WLM (p = 0.0046) and S-PA (p = 0.0007) tests, which measure cognitive function. There were moderate correlations between the change in WLM score and the change in GM-BHQ (r = 0.4448; Spearman’s rank correlation) and between the change in S-PA score and the change in FA-BHQ (r = 0.4645). Daily ingestion of CH changed brain structure and improved language cognitive function. Full article
Show Figures

Figure 1

Figure 1
<p>Correlation between the change in brain healthcare quotient based on fractional anisotropy (ΔFA-BHQ) and the change in the standard verbal paired associate learning test scores (ΔS-PA).</p>
Full article ">
12 pages, 622 KiB  
Article
Diet Quality and Micronutrient Intake among Long-Term Weight Loss Maintainers
by Rebecca W. Pascual, Suzanne Phelan, Michael R. La Frano, Kari D. Pilolla, Zoe Griffiths and Gary D. Foster
Nutrients 2019, 11(12), 3046; https://doi.org/10.3390/nu11123046 - 13 Dec 2019
Cited by 20 | Viewed by 8067
Abstract
Inadequate vitamin and mineral intake is documented among individuals with obesity, but is unknown among long-term weight loss maintainers (WLM). This study examined dietary quality and micronutrient adequacy among WLMs in a commercial weight management program. Participants were 1207 WLM in Weight Watchers [...] Read more.
Inadequate vitamin and mineral intake is documented among individuals with obesity, but is unknown among long-term weight loss maintainers (WLM). This study examined dietary quality and micronutrient adequacy among WLMs in a commercial weight management program. Participants were 1207 WLM in Weight Watchers (WW) who had maintained a 9.1 kg or greater weight loss (29.7 kg on average) for 3.4 years and had a body mass index (BMI) of 28.3 kg/m2. A control group of weight stable adults with obesity (controls; N = 102) had a BMI of 41.1 kg/m2. Measures included the Diet History Questionnaire-II, Healthy Eating Index-2015 (HEI), and Dietary References Intakes. WLM versus controls had a 10.1 point higher HEI score (70.2 (69.7–70.7) vs. 60.1 (58.4–61.8); p = 0.0001) and greater odds of meeting recommendations for copper (OR = 5.8 (2.6–13.1)), magnesium (OR = 2.9 (1.8–4.7)), potassium (OR = 4.7 (1.4–16.5)), vitamin A (OR = 2.8 (1.7–4.8)), vitamin B6 (OR = 2.9 (1.6–5.2)), and vitamin C (OR = 5.0 (2.8–8.8)). WLM, compared to controls, also reported higher percentages of calories from carbohydrates (50.3% (49.7–50.8) vs. 46.7% (44.8–48.7); p = 0.0001) and protein (18.2% (18.0–18.5) vs. 15.9% (15.1–16.6); p = 0.0001) and lower calories from fat (32.3% (31.9–32.8) vs. 37.4% (35.8–38.9); p = 0.0001). Long-term weight loss maintenance in a widely used commercial program was associated with a healthier diet pattern, including consuming foods with higher micronutrient density. Full article
Show Figures

Figure 1

Figure 1
<p>Average (95% confidence interval) Healthy Eating Index-2015 scores for controls (N = 102) and weight loss maintainers (N = 1207).</p>
Full article ">Figure 2
<p>Average (95% confidence interval) macronutrient intake among controls (N = 102) and weight loss maintainers (N = 1207). * denotes a statistically significant difference between the control and weight loss maintainer groups at the <span class="html-italic">p</span> &lt; 0.0001 level</p>
Full article ">
Back to TopTop