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16 pages, 1493 KiB  
Article
Development and Validation of a New Eco-Friendly HPLC-PDA Bioanalytical Method for Studying Pharmacokinetics of Seliciclib
by Reem M. Abuhejail, Nourah Z. Alzoman and Ibrahim A. Darwish
Medicina 2024, 60(10), 1686; https://doi.org/10.3390/medicina60101686 - 14 Oct 2024
Viewed by 512
Abstract
Background and Objectives: Seliciclib (SEL) is the first selective, orally bioavailable potential drug containing cyclin-dependent kinase inhibitors. Preclinical studies showed antitumor activity in a broad range of human tumor xenografts, neurodegenerative diseases, renal dysfunctions, viral infections, and chronic inflammatory disorders. To support the [...] Read more.
Background and Objectives: Seliciclib (SEL) is the first selective, orally bioavailable potential drug containing cyclin-dependent kinase inhibitors. Preclinical studies showed antitumor activity in a broad range of human tumor xenografts, neurodegenerative diseases, renal dysfunctions, viral infections, and chronic inflammatory disorders. To support the pharmacokinetics and aid in therapeutic monitoring of SEL following its administration for therapy, an efficient analytical tool capable of quantifying the concentrations of SEL in blood plasma is needed. In the literature, there is no existing method for quantifying SEL in plasma samples. This study introduces the first HPLC method with a photodiode array (PDA) detector for the quantitation of SEL in plasma. Materials and Methods: The chromatographic resolution of SEL and linifanib as an internal standard (IS) was achieved on Zorbax Eclipse Plus C18 HPLC column (150 mm length × 4.6 mm internal diameter, 5 µm particle size), with a mobile phase composed of acetonitrile–ammonium acetate, pH 5 (50:50, v/v) at a flow rate of 1.0 mL min−1. Both SEL and IS were detected by PDA at 230 nm. The method was validated according to the ICH guidelines for bioanalytical method validation. Results: The method exhibited linearity in concentrations ranging from 50 to 1000 ng mL−1, with a limit of quantitation of 66.1 ng mL−1. All remaining validation parameters satisfied the ICH validation criteria. The environmental sustainability of the method was verified using three extensive tools. The proposed HPLC-PDA method was effectively utilized to study the pharmacokinetics of SEL in rats after a single oral administration of 25 mg/kg. Conclusions: The proposed method stands as a valuable tool for studying SELs for pharmacokinetics in humans. It aids in achieving the targeted therapeutic advantages and safety of treatment with SEL by optimizing the SEL dosage and dosing schedule. Full article
(This article belongs to the Section Pharmacology)
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Figure 1
<p>The chemical structures and abbreviations of seliciclib and linifanib (<b>A</b>), and the UV absorption spectra of their methanolic solutions (<b>B</b>). The concentrations of these solutions were 20 and 10 µg mL<sup>−1</sup> for SEL and LIN, respectively.</p>
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<p>A representative chromatogram of standard solution containing SEL and IS. The concentrations of SEL and IS were 500 and 100 ng mL<sup>−1</sup>, respectively. mAU is the detector response in millivolts as arbitrary units.</p>
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<p>Panel (<b>A</b>): Overlaid chromatograms of standard solutions containing varying concentrations (50–1000 ng mL<sup>−1</sup>) of SEL and a fixed concentration of IS (100 ng mL<sup>−1</sup>). Panel (<b>B</b>): the calibration curve (Blue circles, <span style="color:#1F4E79">●</span>; on the left axis) and precision profile, expressed as RSD, % (red triangles, <span style="color:#FF0000">▲</span>; on the right axis) of the HPLC-PDA method for the determination of SEL.</p>
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<p>Panel (<b>A</b>): Representative chromatograms of blank (drug-free) human plasma (red line), plasma spiked with IS at a concentration of 100 ng mL<sup>−1</sup> (blue line), plasma spiked with SEL and IS at concentrations of 250 and 100 ng mL<sup>−1</sup>, respectively (green line). Panel (<b>B</b>): The purity plots of the SEL and IS peaks. The red, green, and blue curves are the threshold (base) lines, peaks, and purity curves, respectively.</p>
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<p>Concentration-time profile of SEL in rats after single oral gavage administration at a dose of 25 mg kg<sup>−1</sup>. Concentrations are the means of 5 rats ± SD.</p>
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<p>The evaluation of the greenness of the proposed HPLC-PDA for the determination of SEL by GAPI (<b>A</b>) and AGREE (<b>B</b>) tools. The evaluation parameters and pictograms are given in the left-hand and right-hand sections of each panel.</p>
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17 pages, 1254 KiB  
Review
Astronomical Intensity Interferometry
by Shufei Yi, Qichang An, Wenyi Zhang, Jincai Hu and Liang Wang
Photonics 2024, 11(10), 958; https://doi.org/10.3390/photonics11100958 - 12 Oct 2024
Viewed by 301
Abstract
The development of astronomy relies heavily on advances in high-resolution imaging techniques. With the growing demand for high-resolution astronomical observations, conventional optical interferometry has gradually revealed various limitations, especially in coping with atmospheric phase fluctuations and long baseline observations. However, intensity interferometry is [...] Read more.
The development of astronomy relies heavily on advances in high-resolution imaging techniques. With the growing demand for high-resolution astronomical observations, conventional optical interferometry has gradually revealed various limitations, especially in coping with atmospheric phase fluctuations and long baseline observations. However, intensity interferometry is becoming an important method to overcome these challenges due to its high robustness to atmospheric phase fluctuations and its excellent performance in long-baseline observations. In this paper, the basic principles and key technologies of intensity interferometry are systematically described, and the remarkable potential of this technique for improving angular resolution and detection sensitivity is comprehensively discussed in light of the recent advances in modern photon detector and signal processing techniques. The results show that the intensity interferometry technique is capable of realizing high-precision observation of long-range and low-brightness targets, especially in the field of exoplanet detection, which shows a wide range of application prospects. In the future, with the continuous development of telescope arrays and adaptive optics, the intensity interferometry technique is expected to further promote the precision and breadth of astronomical observations, and provide new opportunities for revealing the mysteries of the universe. Full article
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<p>Intensity interferometry system.</p>
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<p>The VERITAS array [<a href="#B60-photonics-11-00958" class="html-bibr">60</a>].</p>
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15 pages, 2807 KiB  
Article
Application of Fabric Phase Sorptive Extraction as a Green Method for the Analysis of 10 Anti-Diabetic Drugs in Environmental Water Samples
by Augosto Misolas, Mohamad Sleiman and Vasilios Sakkas
Molecules 2024, 29(20), 4834; https://doi.org/10.3390/molecules29204834 - 12 Oct 2024
Viewed by 338
Abstract
Due to the increased prevalence of diabetes, the consumption of anti-diabetic drugs for its treatment has likewise increased. Metformin is an anti-diabetic drug that is commonly prescribed for patients with type 2 diabetes and has been frequently detected in surface water and wastewaters, [...] Read more.
Due to the increased prevalence of diabetes, the consumption of anti-diabetic drugs for its treatment has likewise increased. Metformin is an anti-diabetic drug that is commonly prescribed for patients with type 2 diabetes and has been frequently detected in surface water and wastewaters, thus representing an emerging contaminant. Metformin can be prescribed in combination with other classes of anti-diabetic drugs; however, these drugs are not sufficiently investigated in environmental samples. Fabric phase sorptive extraction (FPSE) has emerged as a simple and green method for the extraction of analytes in environmental samples. In this study, FPSE coupled with a high-performance liquid chromatography diode array detector (HPLC-DAD) was employed for the simultaneous analysis of different classes of anti-diabetic drugs (metformin, dapagliflozin, liraglutide, pioglitazone, gliclazide, glimepiride, glargine, repaglinide, sitagliptin, and vildagliptin) in environmental water samples. Four different fabric membranes were synthesized but the microfiber glass filter coated with sol-gel polyethylene glycol (PEG 300) was observed to be the best FPSE membrane. The parameters affecting the FPSE process were optimized using a combination of one-factor-at-a-time processes and the design of experiments. The FPSE was evaluated as a green extraction method, based on green sample preparation criteria. The FPSE-HPLC-DAD method achieved acceptable validation results and was applied for the simultaneous analysis of anti-diabetic drugs in surface and wastewater samples. Glimepiride was detected below the quantification limit in both lake and river water samples. Dapagliflozin, liraglutide, and glimepiride were detected at 69.0 ± 1.0 μg·L−1, 71.9 ± 0.4 μg·L−1, and 93.9 ± 1.3 μg·L−1, respectively, in the city wastewater influent. Dapagliflozin and glimepiride were still detected below the quantification limit in city wastewater effluent. For the hospital wastewater influent, metformin and glimepiride were detected at 1158 ± 21 μg·L−1 and 28 ± 0.8 μg·L−1, respectively, while only metformin (392.6 ± 7.7 μg·L−1) was detected in hospital wastewater effluent. Full article
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<p>Preliminary experiments for the FPSE of 10 anti-diabetic drugs drawn from water, assessing the effect of FPSE membrane type (<b>A</b>), pH of the sample (<b>B</b>), and agitation mode (<b>C</b>) on the adsorption efficiencies, and the effect of the desorption solvent (<b>D</b>) on the extraction recoveries. Error bars represent the standard deviation of triplicates. Analytes: MET—metformin, DAP—dapagliflozin, LIR—liraglutide, PIO—pioglitazone, GLC—gliclazide, GLM—glimepiride, GLA—glargine, REP—repaglinide, VIL—vildagliptin, SIT—sitagliptin.</p>
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<p>Preliminary experiments for the FPSE of 10 anti-diabetic drugs drawn from water, assessing the effect of FPSE membrane type (<b>A</b>), pH of the sample (<b>B</b>), and agitation mode (<b>C</b>) on the adsorption efficiencies, and the effect of the desorption solvent (<b>D</b>) on the extraction recoveries. Error bars represent the standard deviation of triplicates. Analytes: MET—metformin, DAP—dapagliflozin, LIR—liraglutide, PIO—pioglitazone, GLC—gliclazide, GLM—glimepiride, GLA—glargine, REP—repaglinide, VIL—vildagliptin, SIT—sitagliptin.</p>
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<p>Pareto charts and response surface plots for FPSE adsorption (<b>A</b>,<b>B</b>) and desorption (<b>C</b>,<b>D</b>) using a Box–Behnken design.</p>
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<p>Pareto charts and response surface plots for FPSE adsorption (<b>A</b>,<b>B</b>) and desorption (<b>C</b>,<b>D</b>) using a Box–Behnken design.</p>
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<p>Overlay of HPLC chromatograms for the undiluted unspiked hospital WWTP influent (black), spiked with 50 μg·L<sup>−1</sup> (blue), and spiked with 300 μg·L<sup>−1</sup> (pink), after application (without dilution) of the proposed FPSE-HPLC under optimized conditions at a 224 nm wavelength. Peaks: 1—MET, 2—DAP, 3—LIR, 4—GLA, 5—PIO, 6—GLC, 7—GLM, and 8—REP.</p>
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<p>Evaluation of the method’s greenness based on the AGREEprep (<b>A</b>) and AGREE (<b>B</b>) metric tools. AGREEprep criteria: 1—sample preparation, 2—solvents, 3—sustainable materials, 4—waste, 5—sample size, 6—sample throughput, 7—sample steps and automation, 8—energy consumption, 9—post-sample preparation, and 10—operator safety. AGREE criteria: 1—sample treatment, 2—sample size, 3—device positioning, 4—sample preparation steps, 5—automation and miniaturization, 6—derivatization, 7—waste generation, 8—analysis throughput, 9—energy consumption, 10—source of reagents, 11—toxicity, and 12—operator safety.</p>
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9 pages, 3380 KiB  
Communication
Silicon Optical Phased Array Hybrid Integrated with III–V Laser for Grating Lobe-Free Beam Steering
by Jingye Chen, Shi Zhao, Wenlei Li, Xiaobin Wang, Xiang’e Han and Yaocheng Shi
Photonics 2024, 11(10), 952; https://doi.org/10.3390/photonics11100952 - 10 Oct 2024
Viewed by 499
Abstract
A silicon photonics-based optical phased array (OPA) is promising for realizing solid-state and miniature beam steering. In our work, a 1 × 16 silicon optical phased array (OPA) hybrid integrated with a III–V laser is proposed and demonstrated. The III–V laser chip is [...] Read more.
A silicon photonics-based optical phased array (OPA) is promising for realizing solid-state and miniature beam steering. In our work, a 1 × 16 silicon optical phased array (OPA) hybrid integrated with a III–V laser is proposed and demonstrated. The III–V laser chip is vertically coupled with a silicon OPA chip based on a chirped grating coupler with a large bandwidth. The coupling efficiency reaches up to 90% through utilizing the metal reflector underneath the silicon oxide layer. The one-dimensional antenna array comprising silicon waveguides with half-wavelength spacing enables beam steering with none high-order grating lobes in a 180° field of view. The measured beam steering angle of the hybrid integrated OPA chip is ±25°, without grating lobes, and the suppression ratio of the side-lobes is larger than 9.8 dB with phase calibration. Full article
(This article belongs to the Special Issue Group IV Photonics: Advances and Applications)
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Figure 1
<p>(<b>a</b>) Side view of the OPA with a hybrid-integrated laser. (<b>b</b>) Schematic diagrams of the proposed grating lobe-free beam steering chip. (<b>c</b>) Modeling of the far-field beam steering.</p>
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<p>(<b>a</b>) Schematic of the grating coupler. (<b>b</b>) Calculated insertion loss of the chirped grating coupler with or without metal reflector.</p>
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<p>The calculated optical far-field distribution varies with the phase difference in the proposed OPA.</p>
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<p>The normalized optical far-field distribution without phase difference.</p>
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<p>Schematic flow of the fabrication process.</p>
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<p>(<b>a</b>) Optical microscope image of the specific part of the fabricated device. (<b>b</b>) The image of the OPA chip hybrid integrated with the laser.</p>
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<p>The measurement system for far-field beam characterization.</p>
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<p>Measured optical far-field distribution after phase calibration: (<b>a</b>) image in the CCD and (<b>b</b>) the normalized intensity.</p>
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<p>Measured optical far-field distributions of the different steering angles of the OPA hybrid integrated with a laser chip.</p>
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16 pages, 3414 KiB  
Article
Green and Sensitive Analysis of the Antihistaminic Drug Pheniramine Maleate and Its Main Toxic Impurity Using UPLC and TLC Methods, Blueness Assessment, and Greenness Assessments
by Nessreen S. Abdelhamid, Huda Salem AlSalem, Faisal K. Algethami, Eglal A. Abdelaleem, Alaa M. Mahmoud, Dalal A. Abou El Ella and Mohammed Gamal
Chemosensors 2024, 12(10), 206; https://doi.org/10.3390/chemosensors12100206 - 9 Oct 2024
Viewed by 371
Abstract
For the first time, two direct and eco-friendly chromatographic approaches were adapted for the simultaneous estimation of pheniramine maleate (PAM) and its major toxic impurity, 2-benzyl pyridine (BNZ). Method A used reversed-phase ultra-performance liquid chromatography; separation was achieved within 4 min using a [...] Read more.
For the first time, two direct and eco-friendly chromatographic approaches were adapted for the simultaneous estimation of pheniramine maleate (PAM) and its major toxic impurity, 2-benzyl pyridine (BNZ). Method A used reversed-phase ultra-performance liquid chromatography; separation was achieved within 4 min using a C18 column with a developing system of methanol/water (60:40 v/v) with a 0.1 mL/min flow rate. Photodiode array detection was adjusted at 215 nm. The method was linear in the ranges of 5.0–70.0 and 0.05–10.0 µg/mL for PAM and BNZ, correspondingly. Method B used thin-layer chromatography; separation was applied on silica gel TLC F254 using ethanol/ethyl acetate/liquid ammonia (8:2:0.1, in volumes) at room temperature, at 265 nm. Linearity was assured at concentration ranges 0.5–8.0 and 0.1–3.0 µg/band for the two components, respectively. Generally, the new UPLC and TLC methods outperform the old ones in terms of quickness, greenness, and sensitivity. Concisely, the greenness features were partially achieved using the Green Analytical Procedure Index (GAPI) and the Analytical Greenness (AGREE) pictograms. In contrast, the usefulness of the novel approaches was assured via the Blue Applicability Grade Index (BAGI) tool. Full article
(This article belongs to the Special Issue Green Analytical Chemistry: Current Trends and Future Developments)
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Graphical abstract

Graphical abstract
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<p>Structural formula of pheniramine maleate and 2-benzyl pyridine.</p>
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<p>RP-UPLC chromatogram of mixture of pheniramine maleate and 2-benzyl-pyridine with concentration 10 µg/mL. The mobile phase used was methanol/water (60:40 <span class="html-italic">v</span>/<span class="html-italic">v</span>).</p>
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<p>Two-dimensional TLC densitogram of binary mixture of PAM and BNZ, using developed system of ethanol/ethyl acetate/ammonia (8:2:0.1, by volume) at room temperature and scanned at 265 nm.</p>
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<p>AGREE pictogram for the novel RP-UPLC method using mobile phase of methanol/water (60:40 <span class="html-italic">v</span>/<span class="html-italic">v</span>).</p>
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<p>GAPI pictogram for the novel RP-UPLC method using mobile phase of methanol/water (60:40 <span class="html-italic">v</span>/<span class="html-italic">v</span>), Each criterion is assigned a green, yellow, or red rating based on its environmental significance. White sections mean not applicable.</p>
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<p>AGREE pictogram for the novel TLC method using mobile phase of ethanol/ethyl acetate/ammonia (8:2:0.1, by volume).</p>
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<p>GAPI pictogram for the novel TLC method using mobile phase of ethanol/ethyl acetate/ammonia (8:2:0.1, by volume).</p>
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<p>BAGI pictogram for the novel UPLC approach. Scales of dark blue to white indicate compliance levels, with dark blue representing the highest and white the lowest.</p>
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<p>BAGI pictogram for the novel TLC approach.</p>
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13 pages, 356 KiB  
Review
Bose Metals, from Prediction to Realization
by M. C. Diamantini and C. A. Trugenberger
Materials 2024, 17(19), 4924; https://doi.org/10.3390/ma17194924 - 9 Oct 2024
Viewed by 306
Abstract
Bose metals are metals made of Cooper pairs, which form at very low temperatures in superconducting films and Josephson junction arrays as an intermediate phase between superconductivity and superinsulation. We predicted the existence of this 2D metallic phase of bosons in the mid [...] Read more.
Bose metals are metals made of Cooper pairs, which form at very low temperatures in superconducting films and Josephson junction arrays as an intermediate phase between superconductivity and superinsulation. We predicted the existence of this 2D metallic phase of bosons in the mid 1990s, showing that they arise due to topological quantum effects. The observation of Bose metals in perfectly regular Josephson junction arrays fully confirms our prediction and rules out alternative models based on disorder. Here, we review the basic mechanism leading to Bose metals. The key points are that the relevant vortices in granular superconductors are core-less, mobile XY vortices which can tunnel through the system due to quantum phase slips, that there is no charge-phase commutation relation preventing such vortices from being simultaneously out of condensate with charges, and that out-of-condensate charges and vortices are subject to topological mutual statistics interactions, a quantum effect that dominates at low temperatures. These repulsive mutual statistics interactions are sufficient to increase the energy of the Cooper pairs and lift them out of condensate. The result is a topological ground state in which charge conduction along edges and vortex movement across them organize themselves so as to generate the observed metallic saturation at low temperatures. This state is known today as a bosonic topological insulator. Full article
(This article belongs to the Special Issue Advanced Materials with Strong Electron Correlations)
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<p>A phase slip on a 2D JJA, corresponding to a vortex tunnelling on the dual lattice.</p>
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<p>The quantum phase structure of JJA and superconducting films as a function of the two parameters <span class="html-italic">g</span> and <math display="inline"><semantics> <mrow> <mi>η</mi> <mo>=</mo> <mi>f</mi> <mo>(</mo> <mi>m</mi> <mo>ℓ</mo> <mo>)</mo> </mrow> </semantics></math>. The bosonic topological insulator phase is also called Bose metal due do its edge metallic behavior.</p>
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12 pages, 1991 KiB  
Article
The HPLC–PDA Method for Simultaneous Determination of Regalosides from Bulbs of Lilium lancifolium Thunb. and Their Antioxidant Effects
by Chang-Seob Seo, No Soo Kim and Kwang-Hoon Song
Plants 2024, 13(19), 2793; https://doi.org/10.3390/plants13192793 - 5 Oct 2024
Viewed by 380
Abstract
Lilium lancifolium Thunb. is a herbal medicine that is widely used to treat inflammation and lung diseases. In this study, a simultaneous quantitative method was developed for the quality control of BLL using high-performance liquid chromatography coupled with a photodiode array detector (HPLC–PDA), [...] Read more.
Lilium lancifolium Thunb. is a herbal medicine that is widely used to treat inflammation and lung diseases. In this study, a simultaneous quantitative method was developed for the quality control of BLL using high-performance liquid chromatography coupled with a photodiode array detector (HPLC–PDA), and their antioxidant effects were evaluated. Eight regalosides (i.e., regaloside A, B, C, E, F, H, I, and K) were selected as marker substances and separated on a Gemini C18 reversed-phase analytical column by gradient elution with distilled water–acetonitrile mobile phase containing 0.1% (v/v) formic acid. The method was validated with respect to linearity, sensitivities (limit of detection (LOD) and limit of quantitation (LOQ)), accuracy, and precision. The antioxidant effects of the extract and each component were evaluated using the 2,2-diphenyl-1-picrylhydrazyl radical scavenging assay and 2-2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) assay. The coefficients of determination values used as indicators of linearity for all components were ≥0.9999. LOD and LOQ concentrations were 0.10–0.66 μg/mL and 0.29–2.01 μg/mL, respectively. The recovery was 95.39–103.925% (relative standard deviation; RSD ≤ 2.55%), and precision RSD was <2.78%. The HPLC–PDA method was applied to real samples, and all components were detected at 1.12–29.76 mg/freeze-dried g. The evaluation of antioxidant effects showed that regalosides C, E, and K exhibited significant antioxidant effects. Our knowledge will be appropriately utilized in raw material management and conducting clinical and non-clinical studies on L. lancifolium or herbal medicine prescriptions containing L. lancifolium. Full article
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<p>Chemical structures of the eight regalosides selected as a marker compound for quality control of BLL.</p>
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<p>HPLC chromatograms of mixed standard compounds (<b>A</b>) and BLL extract (<b>B</b>) measured at 305, 310, and 325 nm. Regaloside K (1), regaloside C (2), regaloside H (3), regaloside A (4), regaloside F (5), regaloside E (6), regaloside B (7), and regaloside I (8).</p>
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<p>Free radical scavenging activities of BLL extract. The cationic and anionic radical scavenging activities of BLL extract were determined using ABTS and DPPH assays, respectively (<span class="html-italic">n</span> = 2).</p>
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<p>Free radical scavenging activities of the eight regalosides. The cationic and anionic radical scavenging activities of each individual chemical were determined using ABTS and DPPH assays, respectively. Ascorbic acid was used as a positive control for both assays (<span class="html-italic">n</span> = 2).</p>
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23 pages, 3109 KiB  
Article
Phase Error Correction in Sparse Linear MIMO Radar Based on the Equivalent Phase Center Principle
by Wenyuan Shao, Jianmin Hu, Yicai Ji, Jun Pan and Guangyou Fang
Remote Sens. 2024, 16(19), 3685; https://doi.org/10.3390/rs16193685 - 2 Oct 2024
Viewed by 705
Abstract
Multiple-input multiple-output (MIMO) technology is widely used in the field of radar imaging. Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and [...] Read more.
Multiple-input multiple-output (MIMO) technology is widely used in the field of radar imaging. Array sparse optimization reduces the hardware cost of MIMO radar, while virtual aperture and the equivalent phase center (EPC) principle simplify the radar signal model and reduce the computation and complexity of imaging algorithms. However, the application of sparse array structure and the EPC principle produces a non-negligible phase error, which affects the imaging quality. This paper simplifies the MIMO radar signal model based on the phase center approximation, analyzes the phase error generated by this method, and proposes an improved phase error correction method to solve the problem that the target cannot be well-focused at non-reference distance during imaging. In addition, this paper designs a sparse linear MIMO array with a periodic structure, which reduces the number of transmitting and receiving units, system complexity, and hardware costs. The proposed phase correction method was combined with the wavenumber domain algorithm to simulate and experiment on the designed antenna array, and good experimental results were obtained to verify the effectiveness of the proposed method. Full article
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<p>Schematic diagram of linear MIMO array radar echo.</p>
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<p>Schematic diagram of EPC echo.</p>
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<p>Schematic diagram of the reference point compensation method.</p>
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<p>Schematic diagram of array phase correction.</p>
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<p>Schematic diagram of array and EPC distribution in one module.</p>
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<p>(<b>a</b>) Two-way distance; (<b>b</b>) The difference between the equivalent distance and the actual distance.</p>
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<p>Schematic diagram of simulation scene.</p>
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<p>(<b>a</b>) First−order correction coefficient; (<b>b</b>) Second−order correction coefficient; (<b>c</b>) Difference value of two correction coefficients.</p>
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<p>Points-matrix target simulation results. (<b>a</b>) Not performing phase correction; (<b>b</b>) First-order phase correction; (<b>c</b>) Second-order phase correction.</p>
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<p>Point matrix target simulation echo curve. (<b>a</b>) <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.3</mn> <mo> </mo> <mi>m</mi> </mrow> </semantics></math>; (<b>b</b>) <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.45</mn> <mo> </mo> <mi>m</mi> </mrow> </semantics></math>; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.6</mn> <mo> </mo> <mi>m</mi> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.75</mn> <mo> </mo> <mi>m</mi> </mrow> </semantics></math>.</p>
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<p>Optical photos of the tested metal targets. (<b>a</b>) Wrenches, wire stripping pliers, and scissors; (<b>b</b>) Pistol model.</p>
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<p>Experiment scenario of three metal targets.</p>
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<p>The imaging results of three metal tools. (<b>a</b>) Not performing phase correction; (<b>b</b>) First-order phase correction; (<b>c</b>) Second-order phase correction.</p>
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<p>The imaging results of the human body model. (<b>a</b>) Not performing phase correction; (<b>b</b>) First-order phase correction; (<b>c</b>) Second-order phase correction.</p>
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24 pages, 8725 KiB  
Article
Application Study of Acoustic Reflectivity Based on Phased Array Ultrasonics in Evaluating Lubricating Oil Film Thickness
by Fei Shang, Huilin Chen, Bo Sun, Shaofeng Wang, Yongquan Han, Wenjing Liu, Fengchun Miao and Zhendong Liu
Coatings 2024, 14(10), 1265; https://doi.org/10.3390/coatings14101265 - 2 Oct 2024
Viewed by 465
Abstract
Bearings play a key role in rolling mills, and the uniformity of their lubricant film directly affects the degree of wear of bearings and the safety of equipment. Due to long-term stress, the lubricant film inside the bearing is not uniformly distributed, resulting [...] Read more.
Bearings play a key role in rolling mills, and the uniformity of their lubricant film directly affects the degree of wear of bearings and the safety of equipment. Due to long-term stress, the lubricant film inside the bearing is not uniformly distributed, resulting in uneven wear between the journal and the shaft tile, which increases the potential safety hazards in production. Traditional disassembly inspection methods are complex and time-consuming. Ultrasonic nondestructive testing technology, which has the advantages of nondestructive and adaptable, has become an effective means of assessing the thickness of the oil film in bearings. In this study, an experimental platform for calibrating the lubricant film thickness in bearings was constructed for the first time, and the acoustic characteristics of different thicknesses of the oil film were measured using ultrasonic detection equipment to verify the accuracy of the simulation process. The experimental results show that after discrete Fourier transform processing, the main features of the frequency channels of the reflected acoustic signals of different thicknesses of the oil film are consistent with the finite element simulation results, and the errors of the oil film thicknesses calculated from the reflection coefficients are within 10% of the set thicknesses, and the measurement ranges cover from 5 μm to 250 μm. Therefore, the above method can realize the accurate measurement of the thicknesses of the oil film in bearings. Full article
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<p>Propagation of vertically incident sound waves in a three-layer structure.</p>
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<p>Range of Reflection Coefficient Scans: (<b>a</b>) Frequency Domain Plot, (<b>b</b>) Phase Plot.</p>
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<p>Finite Element Model [<a href="#B40-coatings-14-01265" class="html-bibr">40</a>].</p>
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<p>Reflection values for oil films of thicknesses ranging from 100 μm to 250 μm.</p>
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<p>Reflection acoustic wave signals of different oil film thicknesses in the frequency domain: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Reflection values for oil films with thicknesses of 5–15 μm.</p>
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<p>Reflection acoustic wave signals of different oil film thicknesses in the frequency domain: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Reflection values for oil films with thicknesses of 20–50 μm.</p>
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<p>Reflection acoustic wave signals of different oil film thicknesses in the frequency domain: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Oil Film Calibration Platform.</p>
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<p>The time-domain waveform of the reference sound wave.</p>
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<p>Frequency Domain Waveform of Incident Sound Wave: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Time-domain reflection acoustic wave signals in the resonance model region.</p>
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<p>Amplitude and Phase of the reflected signals in the resonance model region: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Amplitude and Phase of the Reflection Coefficient in the Resonance Model: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Time-domain reflection acoustic waveforms within the spring model and phase shift model ranges.</p>
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<p>Amplitude and Phase of the Reflected Signals in the Spring Model and Phase Shift Model Range: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Amplitude and Phase of Reflected Coefficients in the Spring Model and Phase Shift Model Ranges: (<b>a</b>) Amplitude, (<b>b</b>) Phase.</p>
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<p>Prediction of oil film thickness based on square of reflection coefficient. (<b>a</b>) Square of reflection coefficient versus oil film thickness, (<b>b</b>) Prediction curve of oil film thickness.</p>
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<p>Oil film thickness curves in the phase shift model.</p>
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<p>Resonance Model Oil Film Thickness Calculation Results.</p>
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<p>Spring Model and Phase Shift Model Oil Film Thickness Calculation Results.</p>
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<p>Oil Film Thickness Measurement Results.</p>
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25 pages, 9753 KiB  
Article
Study of Residual Stress Using Phased Array Ultrasonics in Ti-6AL-4V Wire-Arc Additively Manufactured Components
by Joseph Walker, Brandon Mills, Yashar Javadi, Charles MacLeod, Yongle Sun, Pradeeptta Kumar Taraphdar, Bilal Ahmad, Sundar Gurumurthy, Jialuo Ding and Fiona Sillars
Sensors 2024, 24(19), 6372; https://doi.org/10.3390/s24196372 - 1 Oct 2024
Viewed by 584
Abstract
This paper presents a study on residual stress measurement in wire-arc additively manufactured (WAAM) titanium samples using the non-destructive method of phased array ultrasonics. The contour method (CM) was used for the verification of the phased array ultrasonic results. This allowed for a [...] Read more.
This paper presents a study on residual stress measurement in wire-arc additively manufactured (WAAM) titanium samples using the non-destructive method of phased array ultrasonics. The contour method (CM) was used for the verification of the phased array ultrasonic results. This allowed for a comparison of measurement methods to understand the effects on the distribution of residual stress (RS) within Ti-6Al-4V samples and the effectiveness of measurement of residual stress using phased array ultrasonics. From the results of the experiments, the phased array ultrasonic data were found to be in good agreement with the CM results and displayed similar residual stress distributions in the samples. The results of the individual elements of the phased array were also compared and an improvement in accuracy was found. From per-element results, anomalies were found and could be mitigated with the ability to average the results by using phased array ultrasonics. Therefore, based on these results, there is a strong case for the benefits of using phased array ultrasonics as a method of residual stress measurement for WAAM Ti-6Al-4V components over other existing residual stress measurement techniques. Full article
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<p>Schematic of residual stress measurement using (<b>a</b>) single-element transducers versus (<b>b</b>) phased array ultrasonics approach.</p>
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<p>Experimental setup for the manufacturing of the Ti-6Al-4V samples.</p>
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<p>Schematic of the bottom of the WAAM Ti-6Al-4V sample showing an estimation of the HAZ.</p>
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<p>Flow chart of the process of carrying out the experiments.</p>
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<p>The cutting direction used for cutting the Ti-6Al-4V sample for CM and the resulting cut sample.</p>
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<p>FE analysis mesh and back-calculated RS (in MPa) using CM.</p>
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<p>Experimental setup for finding the acoustoelastic constant of a Ti-6Al-4V sample.</p>
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<p>PAUT-LCR RS measurement approach setup.</p>
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<p>The scan path and direction when carrying out PAUT on the Ti-6Al-4V sample.</p>
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<p>PAUT-LCR RS measurement setup showing the PEAK MP6 using two 8-element 5MHz arrays acting as transmitter and receiver, connected to the laptop for ToF measurements, which were then calculated with acoustoelastic measurements for RS measurements.</p>
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<p>An example signal showing how the zero crossing is found from the LCR wave.</p>
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<p>CM FE model with proposed scan lines for RS measurement in Ti-6Al-4V WAAM samples.</p>
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<p>CM RS measurement results.</p>
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<p>Cross-section of the WAAM sample.</p>
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<p>Loading/ascending acoustoelastic constant graphs.</p>
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<p>Unloading/descending acoustoelastic constant graphs.</p>
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<p>Calculated variance between each element’s RS measurement and averaged results.</p>
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<p>Per-element stress distribution across WAAM sample results.</p>
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<p>Results of the RS measurement using the phased array ultrasonics method.</p>
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<p>(<b>a</b>) The contour method RS measurements and (<b>b</b>) averaged phased array ultrasonics RS measurements.</p>
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13 pages, 3256 KiB  
Article
The Use of Ultra-Fast Gas Chromatography for Fingerprinting-Based Classification of Zweigelt and Rondo Wines with Regard to Grape Variety and Type of Malolactic Fermentation Combined with Greenness and Practicality Assessment
by Anna Stój, Wojciech Wojnowski, Justyna Płotka-Wasylka, Tomasz Czernecki and Ireneusz Tomasz Kapusta
Molecules 2024, 29(19), 4667; https://doi.org/10.3390/molecules29194667 - 1 Oct 2024
Viewed by 470
Abstract
In food authentication, it is important to compare different analytical procedures and select the best method. The aim of this study was to determine the fingerprints of Zweigelt and Rondo wines through headspace analysis using ultra-fast gas chromatography (ultra-fast GC) and to compare [...] Read more.
In food authentication, it is important to compare different analytical procedures and select the best method. The aim of this study was to determine the fingerprints of Zweigelt and Rondo wines through headspace analysis using ultra-fast gas chromatography (ultra-fast GC) and to compare the effectiveness of this approach at classifying wines based on grape variety and type of malolactic fermentation (MLF) as well as its greenness and practicality with three other chromatographic methods such as headspace solid-phase microextraction/gas chromatography-mass spectrometry with carboxen-polydimethylosiloxane fiber (SPME/GC-MS with CAR/PDMS fiber), headspace solid-phase microextraction/gas chromatography-mass spectrometry with polyacrylate fiber (SPME/GC-MS with PA fiber), and ultra performance liquid chromatography–photodiode array detector-tandem mass spectrometry (UPLC-PDA-MS/MS). Principal Component Analysis (PCA) revealed that fingerprints obtained using all four chromatographic methods were suitable for classification using machine learning (ML). Random Forest (RF) and Support Vector Machines (SVM) yielded accuracies of at least 99% in the varietal classification of Zweigelt and Rondo wines and therefore proved suitable for robust fingerprinting-based Quality Assurance/Quality Control (QA/QC) procedures. In the case of wine classification by the type of MLF, the classifiers performed slightly worse, with the poorest accuracy of 91% for SVM and SPME/GC-MS with CAR/PDMS fiber, and no less than 93% for the other methods. Ultra-fast GC is the greenest and UPLC-PDA-MS/MS is the most practical of the four chromatographic methods. Full article
(This article belongs to the Special Issue Chromatographic Methods for Monitoring Food Safety and Quality)
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<p>Radar plots of the chromatograms of selected wines obtained with ultra-fast GC; the circumference of the plots denotes retention time (100 s in total), and the radius denotes abundance (signal of FID detectors) in a logarithmic scale; MXT-5, MXT-1701—chromatographic columns. For all wine samples, AF was conducted by a <span class="html-italic">Saccharomyces cerevisiae</span> yeast strain (Essentiale Grand Cru); R3—a Rondo wine, spontaneous MLF (without LAB addition); R3 LAB—a Rondo wine, MLF induced by inoculation with LAB after AF; Z3—a Zweigelt wine, spontaneous MLF; Z3 LAB—a Zweigelt wine, MLF was carried out by LAB added after AF.</p>
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<p>Biplots of the two first principal components with input variables selected based on grape variety variance; Rondo–Rondo wines in which AF was conducted by various yeast strains and MLF was spontaneous or induced (carried out without or with the addition of LAB, respectively); Zweigelt–Zweigelt wines in which AF was carried out using different yeast strains and MLF was spontaneous or induced by inoculation with LAB.</p>
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<p>An example of classification tree, specific for this particular dataset, for determining grape variety and addition of LAB in the winemaking process based on the results of sample analysis using UPLC-PDA-MS/MS; Rondo–Rondo wines in which AF was carried out by various yeast strains and MLF was spontaneous or induced by inoculation with LAB; Zweigelt–Zweigelt wines in which AF was carried out by different yeast strains and MLF was spontaneous or induced by inoculation with LAB; w/o LAB–Rondo and Zweigelt wines in which AF was conducted by various yeast strains and MLF was carried out without the addition of LAB; w/LAB–Rondo and Zweigelt wines in which AF was conducted by various yeast strains and MLF was induced by inoculation with LAB.</p>
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<p>Biplots of the first two principal components with input variables selected based on variance with regard to whether LAB were added in the winemaking process; w/o LAB–Rondo and Zweigelt wines in which AF was conducted by various yeast strains and MLF was carried out without LAB addition; w/LAB–Rondo and Zweigelt wines in which AF was carried out by various yeast strains and MLF was induced by inoculation with LAB.</p>
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<p>Results of AGREE analysis for UPLC-PDA-MS/MS (<b>a</b>), SPME/GC-MS with CAR/PDMS (<b>b</b>), SPME/GC-MS with PA fiber (<b>c</b>), and ultra-fast GC (<b>d</b>).</p>
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<p>Results of BAGI analysis for UPLC-PDA-MS/MS (<b>a</b>), SPME/GC-MS with CAR/PDMS (<b>b</b>), SPME/GC-MS with PA fiber (<b>c</b>), and ultra-fast GC (<b>d</b>).</p>
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<p>Materials and methods used in this paper.</p>
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26 pages, 7912 KiB  
Article
Investigation of Sonication Parameters for Large-Volume Focused Ultrasound-Mediated Blood–Brain Barrier Permeability Enhancement Using a Clinical-Prototype Hemispherical Phased Array
by Dallan McMahon, Ryan M. Jones, Rohan Ramdoyal, Joey Ying Xuan Zhuang, Dallas Leavitt and Kullervo Hynynen
Pharmaceutics 2024, 16(10), 1289; https://doi.org/10.3390/pharmaceutics16101289 - 30 Sep 2024
Viewed by 670
Abstract
Background/Objectives: Focused ultrasound (FUS) and microbubble (MB) exposure is a promising technique for targeted drug delivery to the brain; however, refinement of protocols suitable for large-volume treatments in a clinical setting remains underexplored. Methods: Here, the impacts of various sonication parameters on blood–brain [...] Read more.
Background/Objectives: Focused ultrasound (FUS) and microbubble (MB) exposure is a promising technique for targeted drug delivery to the brain; however, refinement of protocols suitable for large-volume treatments in a clinical setting remains underexplored. Methods: Here, the impacts of various sonication parameters on blood–brain barrier (BBB) permeability enhancement and tissue damage were explored in rabbits using a clinical-prototype hemispherical phased array developed in-house, with real-time 3D MB cavitation imaging for exposure calibration. Initial experiments revealed that continuous manual agitation of MBs during infusion resulted in greater gadolinium (Gd) extravasation compared to gravity drip infusion. Subsequent experiments used low-dose MB infusion with continuous agitation and a low burst repetition frequency (0.2 Hz) to mimic conditions amenable to long-duration clinical treatments. Results: Key sonication parameters—target level (proportional to peak negative pressure), number of bursts, and burst length—significantly affected BBB permeability enhancement, with all parameters displaying a positive relationship with relative Gd contrast enhancement (p < 0.01). Even at high levels of BBB permeability enhancement, tissue damage was minimal, with low occurrences of hypointensities on T2*-weighted MRI. When accounting for relative Gd contrast enhancement, burst length had a significant impact on red blood cell extravasation detected in histological sections, with 1 ms bursts producing significantly greater levels compared to 10 ms bursts (p = 0.03), potentially due to the higher pressure levels required to generate equal levels of BBB permeability enhancement. Additionally, albumin and IgG extravasation correlated strongly with relative Gd contrast enhancement across sonication parameters, suggesting that protein extravasation can be predicted from non-invasive imaging. Conclusions: These findings contribute to the development of safer and more effective clinical protocols for FUS + MB exposure, potentially improving the efficacy of the approach. Full article
(This article belongs to the Section Drug Delivery and Controlled Release)
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<p>Clinical-prototype FUS array system and PCI-based cavitation feedback control example. (<b>a</b>) Experimental setup. Animals were positioned supine with scalps coupled directly to degassed/deionized water within the FUS array. Ultraharmonic receivers were used for PCI-based control and subharmonic receivers were used for ICD. (<b>b</b>) Transmit/receive module. Each module contains 64 transducer elements (8 × 8 grid, 2.5 mm inter-element spacing, 60 transmit and 4 receive elements). (<b>c</b>) Transmit and receive array layouts. (<b>d</b>) PCI-based cavitation feedback control example from in vivo data. PNP was iteratively increased until the detection of coherent MB activity via PCI. On the burst prior to detection (t = 105 s, magenta; PNP = 0.49 MPa) there was no evidence of coherent MB activity on PCI and the SPTA intensity remained below the maximum levels observed during baseline pressure ramps without MBs in circulation (blue dotted line). Spatially coherent MB activity observed in PCI MIPs (t = 110 s, red; calibration PNP = 0.51 MPa) was accompanied by a large spike in the SPTA intensity. The driving voltage was reduced to the minimum system output until the calibration phase was completed at all targets. In this example, a target level of 50% was set (Tx phase PNP = 0.25 MPa for 60 bursts). There was no evidence of MB activity on PCI throughout the Tx phase during which the SPTA intensity remained below the maximum levels observed during baseline pressure ramps, as seen at t = 250 s (green). White scale bar = 4 mm. FUS: focused ultrasound; ICD: inertial cavitation detection; MB: microbubble; PCI: passive cavitation imaging; PNP: peak negative pressure; SPTA: spatial peak temporal average; Tx: treatment.</p>
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<p>Calibration phase cavitation feedback control scheme example. (<b>a</b>) An in vivo example of the cavitation feedback control scheme used during the calibration phase of FUS + MB exposures. PNP was increased each burst until satisfying PCI detection thresholds and/or exceeding the threshold for ICD ratio (<b>top panel</b>). In this example, PCI detection thresholds were satisfied on the 24th burst of the calibration phase (time = 115 s, green marker), corresponding to a divergence in PCI SPTA intensity versus the baseline pressure ramp (i.e., no MBs in circulation; <b>middle panel</b>). The ICD threshold was exceeded during the same burst (<b>bottom panel)</b>. (<b>b</b>) Frequency spectrum of filtered (8th order digital Butterworth filter, 380–400 kHz bandpass) RF data delay-and-summed to the voxel of maximum PCI SPTA intensity (green marker) for the calibration pressure burst (t = 115 s, blue line; PNP = 0.51 MPa), as well as that of the same voxel and sonicating PNP during a baseline pressure ramp without MBs in circulation (t = 115 s, red line; PNP = 0.51 MPa). The filtered delay-and-summed frequency spectrum for the burst prior to the calibration pressure with MBs in circulation is also shown (t = 110 s, light blue line; PNP = 0.49 MPa). (<b>c</b>) The mean unfiltered frequency spectrum across 4 subharmonic receivers used for ICD is shown for the calibration pressure burst (t = 115 s; blue line; PNP = 0.51 MPa), the same sonicating PNP during a baseline pressure ramp without MBs in circulation (t = 115 s; red line; PNP = 0.51 MPa), and the burst prior to the calibration pressure with MBs in circulation (t = 110 s; light blue line; PNP = 0.49). Light green rectangles indicate the bandwidth used for ICD calculations. White scale bar = 4 mm.</p>
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<p>Preliminary comparison of MB infusion methods. In a subset of rabbits (n = 4; aka Cohort #1), the impact of MB infusion method on BBB permeability enhancement was evaluated. (<b>a</b>–<b>d</b>) Target layout and sonication parameters are displayed in relation to T2w targeting scans for gravity drip (n = 24 targets) and continuous manual agitation (n = 32 targets) infusion methods. (<b>e</b>–<b>h</b>) T1w MRI highlights differences in relative Gd contrast enhancement between infusion methods and various sonication parameters. (<b>i</b>–<b>l</b>) No evidence of hypointensities in T2*w MRI were observed. (<b>m</b>) Relative Gd contrast enhancement is plotted for gravity drip and continuous manual agitation infusion; for each infusion method, only targets for which target level ≥ 70% and Tx phase bursts = 120, were considered (n = 8 targets for continuous manual infusion; n = 18 targets for gravity drip infusion). A significant difference was detected between infusion methods (<span class="html-italic">p</span> &lt; 0.01). White scale bars = 1 cm. A: anterior; L: left; P: posterior; R: right.</p>
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<p>Relative Gd contrast enhancement across sonication parameters. T1w MRI was performed approximately 10 min following the end of sonication. (<b>a</b>) Target-wise (n = 237) relative Gd contrast enhancement is plotted for each set of sonication parameters investigated. Burst length (<span class="html-italic">p</span> &lt; 0.01), target level (<span class="html-italic">p</span> &lt; 0.01), and number of Tx phase bursts (<span class="html-italic">p</span> &lt; 0.01) had significant effects on relative Gd contrast enhancement. Targets sonicated with 75% target level exhibited significantly greater levels of relative Gd contrast enhancement vs. 50% target level (<span class="html-italic">p</span> &lt; 0.01). At 75% target level, burst length had a significant impact on relative Gd contrast enhancement (<span class="html-italic">p</span> &lt; 0.01), with a significant difference between 1 ms vs. 10 ms burst lengths (<span class="html-italic">p</span> = 0.048). Number of Tx phase bursts also had a significant effect on relative Gd contrast enhancement at 75% target level (<span class="html-italic">p</span> &lt; 0.01). TL = target level. Representative examples of the targeting scheme (<b>b</b>,<b>e</b>), Gd contrast enhancement in T1w MRI (<b>c</b>,<b>f</b>), and T2*w MRI (<b>d</b>,<b>g</b>) are shown for sonications performed with 5 ms bursts and either 75% (<b>b</b>–<b>d</b>) or 50% (<b>e</b>–<b>g</b>) target levels. Number of Tx phase bursts range from 0 to 240 within each animal. White scale bars = 1 cm. A: anterior; L: left; P: posterior; R: right.</p>
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<p>RBC extravasation area across sonication parameters. In a subset of rabbits, the area of RBC extravasation was quantified in H&amp;E-stained tissue sections (66 targets, 5 rabbits). The animals were perfused 1.5 h following the start of FUS + MB exposure. (<b>a</b>) A significant correlation between relative Gd contrast enhancement and RBC area was observed across all sonication parameters (r<sup>2</sup> = 0.24, <span class="html-italic">p</span> &lt; 0.01). For targets sonicated with 5 ms bursts a significant correlation was also observed (r<sup>2</sup> = 0.33, <span class="html-italic">p</span> &lt; 0.01). At 75% target level, when relative Gd contrast enhancement was considered as a covariate, burst length (<span class="html-italic">p</span> &lt; 0.01) had significant effects on RBC extravasation. Post-hoc Tukey’s HSD test revealed a significant difference between 1 ms and 10 ms burst lengths (<span class="html-italic">p</span> = 0.03). (<b>b</b>) The target displaying the largest area of RBC extravasation observed (yellow border) was sonicated with 1 ms bursts, 75% target level, and 120 Tx phase bursts. This target displayed hypointense signal intensity on T2*w imaging (<a href="#pharmaceutics-16-01289-f0A3" class="html-fig">Figure A3</a>). The data point corresponding to this target is circled (yellow) in panel (<b>a</b>). (<b>c</b>) A histological image representative of 5 or 10 ms burst lengths and 75% target level is displayed (cyan border). Low levels of RBC extravasation are observed across the sonicated volume. The data point corresponding to this target is circled (cyan) in panel (<b>a</b>).</p>
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<p>Albumin and IgG immunofluorescence following sonication. In a subset of animals, immunofluorescent staining for albumin and IgG was performed on tissue sections from rabbits perfused for 1.5 h following the end of FUS + MB exposure (5 rabbits, 66 targets). A strong linear correlation was observed between relative Gd contrast enhancement and relative immunofluorescent signal intensity for both (<b>a</b>) albumin–GFP (r<sup>2</sup> = 0.63, <span class="html-italic">p</span> &lt; 0.01) and (<b>b</b>) IgG-DsRed (r<sup>2</sup> = 0.46, <span class="html-italic">p</span> &lt; 0.01). Across all sonication parameters, the target level had a significant effect on relative immunofluorescent signal intensity for both (<b>a</b>) albumin–GFP (<span class="html-italic">p</span> &lt; 0.01) and (<b>b</b>) IgG-DsRed (<span class="html-italic">p</span> &lt; 0.01). (<b>a</b>,<b>b</b>) When relative Gd contrast enhancement was considered as a covariate, no significant effect of target level or number of Tx phase bursts on relative immunofluorescent signal intensity of either protein were observed. (<b>c</b>) A representative example of albumin–GFP immunofluorescence for 8 posterior targets sonicated with 1 ms burst lengths and 75% target level is displayed. Areas of relatively homogeneous signal intensity across the target volume (cyan border) is contrasted with a more heterogeneous signal intensity (yellow border). Evidence of perivascular transport of albumin–GFP is shown in an area distant from any targeted volume (magenta border); IgG-DsRed signal intensity is not higher than background levels in this ROI.</p>
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<p>Comparison of estimated plasma concentration of Definity<sup>TM</sup> MBs over time. One compartment model of MB concentration in circulation over time for bolus (4 μL/kg) and infusion (0.8 μL/kg/min and 1.6 μL/kg/min) administration. Half-life of Definity<sup>TM</sup> was assumed to be 79 s [<a href="#B57-pharmaceutics-16-01289" class="html-bibr">57</a>]. For bolus administration, t = 0 represents the peak concentration in circulation. For infusion administration, t = 0 represents the start of delivery. Sonication durations are set to 120 s.</p>
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<p>Relative Gd contrast enhancement analysis. (<b>a</b>) An example of contrast enhanced T1w MRI collected following FUS + MB exposure. (<b>b</b>) ROIs selected for quantification of T1w signal intensity at targets (#1–16), as well as regions used as non-sonicated control tissue (C1–C4). Mean signal intensity within each targeted ROI was divided by mean signal intensity across the non-sonicated control ROIs to obtain relative Gd contrast enhancement values. White scale bars = 1 cm. A: anterior; L: left; P: posterior; R: right.</p>
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<p>T2*w hypointensity induced by FUS + MB exposure. (<b>a</b>,<b>b</b>) Sequential coronal slices from contrast enhanced T1w MRI collected following FUS + MB exposure. White arrows highlight a single target of increased BBB permeability. (<b>c</b>,<b>d</b>) Red arrows highlight a small area of hypointensity in T2*w MRI corresponding to the same target highlighted above. This target displayed the largest area of RBC extravasation in H&amp;E sections across all targets processed for histology. White scale bars = 1 cm. D: dorsal; L: left; R: right; V: ventral.</p>
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<p>Correlations between RBC extravasation area and relative Gd contrast enhancement for different numbers of Tx phase bursts. In a subset of rabbits, area of RBC extravasation was quantified in H&amp;E stained tissue sections (66 targets, 5 rabbits). Animals were perfused 1.5 h following the end of FUS + MB exposure. A significant correlation between relative Gd contrast enhancement and RBC area was observed across all sonication parameters (r<sup>2</sup> = 0.24, <span class="html-italic">p</span> &lt; 0.01). For targets sonicated with 60, 120, and 240 Tx phase bursts, significant correlations were also observed (60 Tx phase bursts: r<sup>2</sup> = 0.49, <span class="html-italic">p</span> &lt; 0.01; 120 Tx phase bursts: r<sup>2</sup> = 0.51, <span class="html-italic">p</span> &lt; 0.01; 240 Tx phase bursts: r<sup>2</sup> = 0.3, <span class="html-italic">p</span> = 0.03). For targets sonicated with 75% target level, when relative Gd contrast enhancement was considered as a covariate, number of Tx phase bursts (<span class="html-italic">p</span> &lt; 0.01) and burst length (<span class="html-italic">p</span> &lt; 0.01; <a href="#pharmaceutics-16-01289-f005" class="html-fig">Figure 5</a>a) had significant effects on RBC extravasation. Post-hoc analysis revealed no significant differences between any paired comparison of Tx phase burst numbers.</p>
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<p>Correlations between protein immunofluorescence and relative Gd contrast enhancement for different numbers of Tx phase bursts. In a subset of animals, immunofluorescent staining for albumin and IgG was performed on tissue sections from rabbits perfused 1.5 h following the end of FUS + MB exposure (5 rabbits, 66 targets). A strong linear correlation was observed between relative Gd contrast enhancement and relative immunofluorescent signal intensity for both (<b>a</b>) albumin-GFP (r<sup>2</sup> = 0.63, <span class="html-italic">p</span> &lt; 0.01) and (<b>b</b>) IgG-DsRed (r<sup>2</sup> = 0.46, <span class="html-italic">p</span> &lt; 0.01). When targets sonicated with an equal number of Tx phase bursts were considered, significant correlations were observed for 60, 120, and 240 Tx phase bursts for both albumin-GFP (60 Tx phase bursts: r<sup>2</sup> = 0.57, <span class="html-italic">p</span> &lt; 0.01; 120 Tx phase bursts: r<sup>2</sup> = 0.79, <span class="html-italic">p</span> &lt; 0.01; 240 Tx phase bursts: r<sup>2</sup> = 0.73, <span class="html-italic">p</span> &lt; 0.01) and IgG-DsRed (60 Tx phase bursts: r<sup>2</sup> = 0.31, <span class="html-italic">p</span> = 0.05; 120 Tx phase bursts: r<sup>2</sup> = 0.76, <span class="html-italic">p</span> &lt; 0.01; 240 Tx phase bursts: r<sup>2</sup> = 0.60, <span class="html-italic">p</span> &lt; 0.01). (<b>a</b>,<b>b</b>) When relative Gd contrast enhancement was considered as a covariate, no significant effect of the number of Tx phase bursts on relative immunofluorescent signal intensity of either protein were observed.</p>
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22 pages, 3257 KiB  
Article
Tag-Array-Based UHF Passive RFID Tag Attitude Identification of Tracking Methods
by Honggang Wang, Sicheng Li, Yurun Zhou, Yongli Wang, Ruoyu Pan and Shengli Pang
Sensors 2024, 24(19), 6305; https://doi.org/10.3390/s24196305 - 29 Sep 2024
Viewed by 468
Abstract
Attitude information is as important as position information in describing and localizing objects. Based on this, this paper proposes a method for object attitude sensing utilizing ultra-high frequency passive RFID technology. This method adopts a double tag array strategy, which effectively enhances the [...] Read more.
Attitude information is as important as position information in describing and localizing objects. Based on this, this paper proposes a method for object attitude sensing utilizing ultra-high frequency passive RFID technology. This method adopts a double tag array strategy, which effectively enhances the spatial freedom and eliminates phase ambiguity by leveraging the phase difference information between the two tags. Additionally, we delve into the issue of the phase shift caused by coupling interference between the two tags. To effectively compensate for this coupling effect, a series of experiments were conducted to thoroughly examine the specific impact of coupling effects between tags, and based on these findings, a coupling model between tags was established. This model was then integrated into the original phase model to correct for the effects of phase shift, significantly improving the sensing accuracy. Furthermore, we considered the influence of the object rotation angle on phase changes to construct an accurate object attitude recognition and tracking model. To reduce random errors during phase measurement, we employed a polynomial regression method to fit the measured tag phase information, further enhancing the precision of the sensing model. Compared to traditional positioning modes, the dual-tag array strategy essentially increases the number of virtual antennas available for positioning, providing the system with more refined directional discrimination capabilities. The experimental results demonstrated that incorporating the effects of inter-tag coupling interference and rotation angle into the phase model significantly improved the recognition accuracy for both object localization and attitude angle determination. Specifically, the average error of object positioning was reduced to 12.3 cm, while the average error of attitude angle recognition was reduced to 8.28°, making the method suitable for various practical application scenarios requiring attitude recognition. Full article
(This article belongs to the Special Issue Indoor Positioning Technologies for Internet-of-Things)
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Figure 1
<p>UHF RFID propagation model: detecting the phase change in the radio frequency signal as it propagates between the tag and the reader, and acquiring the phase information of the tag.</p>
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<p>Double Tag Array.</p>
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<p>Angle change of the tag relative to the antenna.</p>
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<p>Phase transition caused by tag rotation: The labels were rotated around the <span class="html-italic">x</span>-axis, <span class="html-italic">y</span>-axis, and <span class="html-italic">z</span>-axis of the set coordinates in the changed scene.</p>
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<p>The tag array’s positional relationships with the reader antennae encompass being either parallel to and passing through the <span class="html-italic">x</span>-axis, parallel to the <span class="html-italic">x</span>-axis but not passing through it, perpendicular to the <span class="html-italic">x</span>-axis, or angled with the <span class="html-italic">x</span>-axis.</p>
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<p>Different states of tag array changes: (<b>a</b>) Tag array spacing <span class="html-italic">d</span>; (<b>b</b>) Distance from tag array to antenna <span class="html-italic">D</span>; (<b>c</b>) Angle of the tag array relative to the antenna <math display="inline"><semantics> <mi>θ</mi> </semantics></math>.</p>
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<p>Scenario (a) Test situation: mean and variance of phase bias caused by tag spacing.</p>
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<p>Phase offsets for different situations: (<b>a</b>) tag array moves parallel to the <span class="html-italic">x</span>-axis; (<b>b</b>) tag array moves perpendicular to the <span class="html-italic">x</span>-axis; (<b>c</b>) tag array rotation.</p>
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<p>Label array phase changes with rotation angle: when extending from single tag rotation to tag array rotation, the phase exhibited the same variation trend.</p>
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<p>The physical antenna <math display="inline"><semantics> <mrow> <mi>A</mi> <msub> <mi>T</mi> <mn>1</mn> </msub> </mrow> </semantics></math> can be regarded as adding a virtual antenna <math display="inline"><semantics> <mrow> <mi>v</mi> <mi>A</mi> <msub> <mi>T</mi> <mn>1</mn> </msub> </mrow> </semantics></math> parallel to the array due to the presence of a two-tag array, and if the angle between the two tags is <math display="inline"><semantics> <mi>θ</mi> </semantics></math>, the angle between the antennas is also kept as <math display="inline"><semantics> <mi>θ</mi> </semantics></math>.</p>
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<p>Triangle constraint. When the tag spacing is less than one quarter of the wavelength, the phase difference of the antenna receiving tag array can be controlled within <math display="inline"><semantics> <mfenced separators="" open="(" close=")"> <mrow> <mo>−</mo> <mi>π</mi> <mo>,</mo> <mi>π</mi> </mrow> </mfenced> </semantics></math>.</p>
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<p>The reader antennas were placed in parallel at 50 cm intervals, the dual-tag arrays were attached to the object surface in parallel, and the mobile robot moved carrying the array of tags.</p>
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<p>(<b>a</b>) Random phase distribution. The tag was fixed at <span class="html-italic">x</span> = 100 cm from the reader antenna, and the signal frequency was 920.675 MHz. The measured phase was different every time it was recorded by the reader. (<b>b</b>) Polynomial regression of measured phase.</p>
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<p>Experiment specific scenario. On the right side of the figure are the reader, the antenna, the rotary table, and the tag array.</p>
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<p>Positioning error for label moving unrotated scenario: where (<b>a</b>) shows the positioning error accuracy of the tag in the <span class="html-italic">x</span>-axis direction and the <span class="html-italic">y</span>-axis direction, (<b>b</b>) represents the overall error accuracy in the <span class="html-italic">x</span> and <span class="html-italic">y</span> directions, and (<b>c</b>) denotes the cumulative distribution function of the error with or without considering the coupling in the model.</p>
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<p>Positioning error in the label moving with rotation scenario: (<b>a</b>) <span class="html-italic">x</span>- and <span class="html-italic">y</span>-axis direction errors; (<b>b</b>) overall labeling error; (<b>c</b>) positioning with and without the coupling term CDF; (<b>d</b>) angle with or without coupling term CDF.</p>
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<p>Effect of tag spacing on positioning and angle recognition accuracy. (<b>a</b>) The effect of tag spacing on positioning and recognition accuracy; (<b>b</b>) The effect of label spacing on angle recognition accuracy.</p>
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<p>(<b>a</b>,<b>b</b>) Effect of reader operating frequency on positioning and angle recognition accuracy; (<b>c</b>,<b>d</b>) Effect of tag movement speed on positioning and angle recognition accuracy.</p>
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20 pages, 9809 KiB  
Article
Small-Size Eight-Element MIMO Metamaterial Antenna with High Isolation Using Modal Significance Method
by Tirado-Mendez Jose Alfredo, Jardon-Aguilar Hildeberto, Flores-Leal Ruben, Rangel-Merino Arturo, Perez-Miguel Angel and Gomez-Villanueva Ricardo
Sensors 2024, 24(19), 6266; https://doi.org/10.3390/s24196266 - 27 Sep 2024
Viewed by 349
Abstract
This article presents a symmetrical reduced-size eight-element MIMO antenna array with high electromagnetic isolation among radiators. The array utilizes easy-to-build techniques to cover the n77 and n78 new radio (NR) bands. It is based on an octagonal double-negative metamaterial split-ring resonator (SRR), which [...] Read more.
This article presents a symmetrical reduced-size eight-element MIMO antenna array with high electromagnetic isolation among radiators. The array utilizes easy-to-build techniques to cover the n77 and n78 new radio (NR) bands. It is based on an octagonal double-negative metamaterial split-ring resonator (SRR), which enables a size reduction of over 50% for the radiators compared to a conventional disc monopole antenna by increasing the slow-wave factor. Additionally, due to the extreme proximity between the radiating elements in the array, the modal significance (MS) method was employed to identify which propagation modes had the most impact on the electromagnetic coupling among elements. This approach aimed to mitigate their effect by using an electromagnetic barrier, thereby enhancing electromagnetic isolation. The electromagnetic barriers, implemented with strip lines, achieved isolation values exceeding 20 dB for adjacent elements (<0.023 λ) and approaching 40 dB for opposite ones (<0.23 λ) after analyzing the surface current distribution by the MS method. The elements are arranged in axial symmetry, forming an octagon with each antenna port located on a side. The array occupies an area of 0.32 λ2 at 3.5 GHz, significantly smaller than previously published works. It exhibits excellent performance for MIMO applications, demonstrating an envelope correlation coefficient (ECC) below 0.0001, a total active reflection coefficient (TARC) lower than −10 dB for various incoming signals with random phases, and a diversity gain (DG) close to 20 dB. Full article
(This article belongs to the Special Issue Intelligent Massive-MIMO Systems and Wireless Communications)
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Figure 1
<p>Comparison of: (<b>a</b>) conventional disc monopole, (<b>b</b>) circular SRR antenna, (<b>c</b>) octagonal SRR antenna.</p>
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<p>Simulated <span class="html-italic">S</span><sub>11</sub> parameter of conventional disc monopole, circular SRR, and octagonal SRR antennas.</p>
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<p>Equivalent circuit of a two embedded-octagonal SRR.</p>
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<p>Comparison of the radiated electric field vector of: (<b>a</b>) circular SRR and (<b>b</b>) octagonal SRR antennas.</p>
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<p>Simulated <span class="html-italic">S</span><sub>21</sub> response of the circular and octagonal SRR pair of radiators.</p>
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<p>Proposal of antenna based on octagonal metamaterial SRR.</p>
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<p>Extracted parameters of (<b>a</b>) Permittivity, (<b>b</b>) Permeability.</p>
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<p><span class="html-italic">S</span><sub>11</sub> parameter of the proposed metamaterial element.</p>
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<p>The 8-element metamaterial MIMO antenna proposal.</p>
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<p>Simulated <span class="html-italic">S</span>-parameters of the 8-element MIMO metamaterial antenna.</p>
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<p>Modal significance of the structure shown in <a href="#sensors-24-06266-f009" class="html-fig">Figure 9</a>.</p>
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<p>Current distribution for: (<b>a</b>) Mode 1, (<b>b</b>) Mode 3, and (<b>c</b>) Mode 4 and radiation pattern for: (<b>d</b>) Mode 1, (<b>e</b>) Mode 3, (<b>f</b>) Mode 4.</p>
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<p>(<b>a</b>) Metamaterial MIMO antenna with electromagnetic walls, (<b>b</b>) Modal Significance.</p>
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<p>Current distribution with EM walls for: (<b>a</b>) Mode 1, (<b>b</b>) Mode 3, (<b>c</b>) Mode 4, and radiation patterns for: (<b>d</b>) Mode 1, (<b>e</b>) Mode 3, (<b>f</b>) Mode 4.</p>
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<p>Comparison of simulated <span class="html-italic">S</span>-parameters of the MIMO antenna with and without EM barriers.</p>
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<p>Simulated <span class="html-italic">ECC</span> between antenna 1 and the rest of the antennas.</p>
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<p>Simulated TARC for different <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>θ</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msub> </mrow> </semantics></math>.</p>
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<p>The 8-element MIMO antenna prototype, (<b>a</b>) front view, (<b>b</b>) back view, (<b>c</b>) inside the anechoic chamber.</p>
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<p>Measured <span class="html-italic">S</span>-parameters of the MIMO prototype antenna.</p>
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<p>(<b>a</b>) Measured <span class="html-italic">ECC</span> of the prototype MIMO array, (<b>b</b>) Diversity Gain.</p>
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<p>Measured <span class="html-italic">TARC</span> of the MIMO prototype.</p>
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<p>Normalized gain pattern. (<b>a</b>) H-plane, (<b>b</b>) E-plane.</p>
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<p>Simulated rE field, (<b>a</b>) total array, (<b>b</b>) independent radiator.</p>
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26 pages, 2184 KiB  
Review
Floating Photovoltaic Plant Monitoring: A Review of Requirements and Feasible Technologies
by Silvia Bossi, Luciano Blasi, Giacomo Cupertino, Ramiro dell’Erba, Angelo Cipollini, Saverio De Vito, Marco Santoro, Girolamo Di Francia and Giuseppe Marco Tina
Sustainability 2024, 16(19), 8367; https://doi.org/10.3390/su16198367 - 26 Sep 2024
Viewed by 794
Abstract
Photovoltaic energy (PV) is considered one of the pillars of the energy transition. However, this energy source is limited by a power density per unit surface lower than 200 W/m2, depending on the latitude of the installation site. Compared to fossil [...] Read more.
Photovoltaic energy (PV) is considered one of the pillars of the energy transition. However, this energy source is limited by a power density per unit surface lower than 200 W/m2, depending on the latitude of the installation site. Compared to fossil fuels, such low power density opens a sustainability issue for this type of renewable energy in terms of its competition with other land uses, and forces us to consider areas suitable for the installation of photovoltaic arrays other than farmlands. In this frame, floating PV plants, installed in internal water basins or even offshore, are receiving increasing interest. On the other hand, this kind of installation might significantly affect the water ecosystem environment in various ways, such as by the effects of solar shading or of anchorage installation. As a result, monitoring of floating PV (FPV) plants, both during the ex ante site evaluation phase and during the operation of the PV plant itself, is therefore necessary to keep such effects under control. This review aims to examine the technical and academic literature on FPV plant monitoring, focusing on the measurement and discussion of key physico-chemical parameters. This paper also aims to identify the additional monitoring features required for energy assessment of a floating PV system compared to a ground-based PV system. Moreover, due to the intrinsic difficulty in the maintenance operations of PV structures not installed on land, novel approaches have introduced autonomous solutions for monitoring the environmental impacts of FPV systems. Technologies for autonomous mapping and monitoring of water bodies are reviewed and discussed. The extensive technical literature analyzed in this review highlights the current lack of a cohesive framework for monitoring these impacts. This paper concludes that there is a need to establish general guidelines and criteria for standardized water quality monitoring (WQM) and management in relation to FPV systems. Full article
(This article belongs to the Special Issue Sustainable Energy Systems and Applications)
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<p>Schematic representation of a typical large-scale FPV system with its key components [<a href="#B21-sustainability-16-08367" class="html-bibr">21</a>].</p>
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<p>Right-hand rule convention for pitch, yaw, and roll movements [<a href="#B32-sustainability-16-08367" class="html-bibr">32</a>].</p>
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<p>Risks and contamination pathways of a floating system [<a href="#B65-sustainability-16-08367" class="html-bibr">65</a>].</p>
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<p>Examples of ASV, ROV, and AUV. (<b>a</b>) The ENEA’s ASV prototype during a mission; (<b>b</b>) a commercial mini ROV for water quality monitoring [courtesy of Eurosportos srl—Chasing Innovation ldt]; (<b>c</b>) ExRay wireless ROV [courtesy of Hydromea SA.]; (<b>d</b>) Vertex AUV advanced prototype [courtesy of Hydromea SA.]; (<b>e</b>) ENEA’s AUV prototype VENUS; (<b>f</b>) Mesh Network. An ENEA theoretical depiction of a possible swarm communication link (multi-hop) between cooperative underwater drones.</p>
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<p>Ten AUVs cooperating (data-driven) to efficiently map illicit discharge outflow plume in a water body (0.5 km<sup>2</sup> in 2 h) [courtesy of Hydromea SA] [<a href="#B152-sustainability-16-08367" class="html-bibr">152</a>].</p>
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