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16 pages, 2414 KiB  
Article
Using Extracted Sugars from Spoiled Date Fruits as a Sustainable Feedstock for Ethanol Production by New Yeast Isolates
by Georgia Antonopoulou, Maria Kamilari, Dimitra Georgopoulou and Ioanna Ntaikou
Molecules 2024, 29(16), 3816; https://doi.org/10.3390/molecules29163816 (registering DOI) - 11 Aug 2024
Abstract
This study focuses on investigating sugar recovery from spoiled date fruits (SDF) for sustainable ethanol production using newly isolated yeasts. Upon their isolation from different food products, yeast strains were identified through PCR amplification of the D1/D2 region and subsequent comparison with the [...] Read more.
This study focuses on investigating sugar recovery from spoiled date fruits (SDF) for sustainable ethanol production using newly isolated yeasts. Upon their isolation from different food products, yeast strains were identified through PCR amplification of the D1/D2 region and subsequent comparison with the GenBank database, confirming isolates KKU30, KKU32, and KKU33 as Saccharomyces cerevisiae; KKU21 as Zygosaccharomyces rouxii; and KKU35m as Meyerozyma guilliermondii. Optimization of sugar extraction from SDF pulp employed response surface methodology (RSM), varying solid loading (20–40%), temperature (20–40 °C), and extraction time (10–30 min). Linear models for sugar concentration (R1) and extraction efficiency (R2) showed relatively high R2 values, indicating a good model fit. Statistical analysis revealed significant effects of temperature and extraction time on extraction efficiency. The results of batch ethanol production from SDF extracts using mono-cultures indicated varying consumption rates of sugars, biomass production, and ethanol yields among strains. Notably, S. cerevisiae strains exhibited rapid sugar consumption and high ethanol productivity, outperforming Z. rouxii and M. guilliermondii, and they were selected for scaling up the process at fed-batch mode in a co-culture. Co-cultivation resulted in complete sugar consumption and higher ethanol yields compared to mono-cultures, whereas the ethanol titer reached 46.8 ± 0.2 g/L. Full article
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Figure 1

Figure 1
<p>Maximum likelihood (ML) dendrogram based on the D1/D2 region of the 26S ribosomal DNA for the five samples of this study highlighted in magenta (KKU21, KKU30, KKU32, KKU33, and KKU35) and 13 yeast sequences downloaded from GenBank with their accession numbers. In blue are the samples analyzed in Ntaikou et al. [<a href="#B17-molecules-29-03816" class="html-bibr">17</a>]. Bootstrap support values over 75% are shown.</p>
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<p>The normal plot of residuals for both responses (sugar concentration, R1; extraction efficiency, R2).</p>
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<p>Responses R1 (sugar concentration) and R2 (extraction efficiency) for temperature and organic loading at given specific extraction time.</p>
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<p>Consumption of sugars (<b>a</b>,<b>d</b>,<b>g</b>,<b>j</b>,<b>m</b>), microbial growth (<b>b</b>,<b>e</b>,<b>h</b>,<b>k</b>,<b>n</b>), and ethanol evolution (<b>c</b>,<b>f</b>,<b>i</b>,<b>l</b>,<b>o</b>) during alcoholic fermentation of SDF extracts (L, low concentration; H, high concentration) using the isolates KKU21, KKU30, KKU32, KKU33, and KKU35 in batch mode.</p>
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<p>Changes of the pH values of the fermentation broth during alcoholic fermentation of SDF extracts (L, low concentration; H, high concentration) using the isolates KKU21 (<b>a</b>), KKU30 (<b>b</b>), KKU32 (<b>c</b>), KKU33 (<b>d</b>), and KKU35 (<b>e</b>), respectively, in batch mode.</p>
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<p>Comparative overall sugar consumption (<b>a</b>) and maximum ethanol yields (<span class="html-italic">Y<sub>EtOH</sub></span>) (<b>b</b>) estimated during alcoholic fermentation of SDF extracts (L, low concentration; H, high concentration) using the isolates KKU21, KKU30, KKU32, KKU33, and KKU35, respectively, in batch mode.</p>
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<p>Sugar consumption and ethanol production (<b>a</b>) as well as pH change (<b>b</b>) during alcoholic fermentation of SDF extract using the co-culture of strains KKU30 and KKU33 in fed-batch mode.</p>
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11 pages, 411 KiB  
Article
Decreased Tongue–Lip Motor Function in Japanese Population with Low Taste Sensitivity: A Cross-Sectional Study
by Tomomi Yata, Norio Aoyama, Toshiya Fujii, Sayuri Kida, Kentaro Taniguchi, Taizo Iwane, Katsushi Tamaki, Masato Minabe and Motohiro Komaki
J. Clin. Med. 2024, 13(16), 4711; https://doi.org/10.3390/jcm13164711 (registering DOI) - 11 Aug 2024
Abstract
Background/Objectives: Taste disorders have a negative impact on meal enjoyment, which is essential for maintaining adequate nutrition and quality of life. Japan is a rapidly aging society with an increasing number of individuals with taste disorders. However, despite the increasing prevalence of [...] Read more.
Background/Objectives: Taste disorders have a negative impact on meal enjoyment, which is essential for maintaining adequate nutrition and quality of life. Japan is a rapidly aging society with an increasing number of individuals with taste disorders. However, despite the increasing prevalence of taste disorders, the correlation between oral frailty and taste sensitivity remains largely unknown. The objective of this study was to assess the relationship between oral health status and taste sensitivity among the Japanese population. Methods: Participants were recruited from Kanagawa Dental University Hospital Medical–Dental Collaboration Center between 2018 and 2021. The exclusion criteria were severe systemic infections, pregnancy, or lactation. Clinical examinations, oral function assessments, and taste tests were conducted using tap water and 1% sweet, 0.3% salty, 0.03% umami, and 0.1% umami tastants. The relationships between oral function, systemic indicators, and taste sensitivity were statistically evaluated. Results: Of the 169 participants included in this cross-sectional study, 39.6% were male and 60.4% were female (median age, 68 years). Participants with low taste sensitivity showed a decline in tongue–lip motor function, independent of age, sex, or smoking status. A multiple logistic regression analysis conducted using two age categories—younger than 65 years and older than 65 years—revealed an association between tongue–lip motor function and taste sensitivity among participants younger than 65 years. Conclusions: Decreased taste sensitivity is associated with tongue–lip motor function. Therefore, the early maintenance of oral function and taste sensitivity may be beneficial for optimal tongue–lip motor function. Full article
(This article belongs to the Section Dentistry, Oral Surgery and Oral Medicine)
7 pages, 186 KiB  
Brief Report
Anaesthesia Concepts in Patients with Chronic Progressive External Ophthalmoplegia Undergoing Ophthalmic Surgery—A Retrospective Cohort Analysis
by Nicolas Leister, Stefanie Wendt, Andrea Hedergott, Ludwig M. Heindl, Alexander C. Rokohl, Sandra E. Stoll, Erik Gordon, Bernd W. Böttiger, Julia Fricke and Volker C. Schick
J. Clin. Med. 2024, 13(16), 4710; https://doi.org/10.3390/jcm13164710 (registering DOI) - 11 Aug 2024
Abstract
Background: Chronic progressive external ophthalmoplegia (CPEO) belongs to the group of mitochondrial encephalomyopathies. Anaesthesia for patients with CPEO may be associated with an increased risk due to known drug effects on mitochondrial metabolism. Therefore, the aim of this analysis was to evaluate anaesthesiological [...] Read more.
Background: Chronic progressive external ophthalmoplegia (CPEO) belongs to the group of mitochondrial encephalomyopathies. Anaesthesia for patients with CPEO may be associated with an increased risk due to known drug effects on mitochondrial metabolism. Therefore, the aim of this analysis was to evaluate anaesthesiological concepts in patients with CPEO requiring ophthalmic surgery. Methods: This is a retrospective, monocentric cohort analysis of eleven patients with CPEO undergoing ophthalmic surgery either with general anaesthesia or local anaesthesia in a German university hospital from January 2012 to February 2022. Results: A total of twelve ophthalmic surgery procedures were performed in eleven adult patients with CPEO. Six patients underwent surgery after receiving local anaesthesia (LA cohort). Five patients underwent six surgical procedures under general anaesthesia (GA cohort). In five cases within the GA cohort, propofol and remifentanil were used for the maintenance of anaesthesia. In one case, balanced anaesthesia with desflurane and remifentanil was used. The median duration of general anaesthesia was 37.5 min (range, 25–65 min). Patients stayed in the recovery room for a median of 48.5 min (range, 35–70 min). All patients were discharged on the first postoperative day. No relevant complications occurred in either the LA or GA cohort. Conclusion: Both local and general anaesthesia are feasible concepts for patients with CPEO undergoing ophthalmic surgery. Propofol, at least with a short duration (less than one hour) of use, appears to be a feasible hypnotic drug in CPEO patients. Full article
(This article belongs to the Section Ophthalmology)
26 pages, 3918 KiB  
Article
Recovery of Scots Pine Seedlings from Long-Term Zinc Toxicity
by Yury V. Ivanov, Alexandra I. Ivanova, Alexander V. Kartashov and Vladimir V. Kuznetsov
Plants 2024, 13(16), 2227; https://doi.org/10.3390/plants13162227 (registering DOI) - 11 Aug 2024
Abstract
We studied the recovery of the growth and physiological parameters of Scots pine seedlings after long-term zinc toxicity. The removal of excess zinc from the nutrient solution resulted in the rapid recovery of primary root growth but did not promote the initiation and [...] Read more.
We studied the recovery of the growth and physiological parameters of Scots pine seedlings after long-term zinc toxicity. The removal of excess zinc from the nutrient solution resulted in the rapid recovery of primary root growth but did not promote the initiation and growth of lateral roots. The recovery of root growth was accompanied by the rapid uptake of manganese, magnesium, and copper. Despite the maximum rate of manganese uptake by the roots, the manganese content in the needles of the recovering plants did not reach control values during the 28 days of the experiment, unlike magnesium, iron, and copper. In general, the recovery of ion homeostasis eliminated all of the negative effects on the photosynthetic pigment content in the needles. However, these changes, along with recovery of the water content in the needles, were not accompanied by an increase in the weight gain of the recovering seedlings compared with that of the Zn-stressed seedlings. The increased accumulation of phenolic compounds in the needles persisted for a long period after excess zinc was removed from the nutrient solution. The decreased lignin content in the roots and needles is a characteristic feature of Zn-stressed plants. Moreover, the removal of excess zinc from the nutrient solution did not lead to an increase in the lignin content in the organs. Full article
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<p>The development of Scots pine seedlings throughout the experiment: (<b>a</b>) fresh weight; (<b>b</b>) dry weight; and (<b>c</b>) water content. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)). The significance of the variant (V), sampling time (T), and variant × time (V × T) interactions were calculated using 2-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with a circle (•) indicating a significant difference and “ns” indicating no significant difference.</p>
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<p>The development of the root system of Scots pine seedlings throughout the experiment: (<b>a</b>) primary root length; (<b>b</b>) number of first-order lateral roots; (<b>c</b>) distance from the tip of the primary root to the first lateral root; and (<b>d</b>) number of second-order lateral roots. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)). The significance of the variant (V), sampling time (T), and variant × time (V × T) interactions were calculated using 2-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with a circle (•) indicating a significant difference.</p>
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<p>The growth of the above-ground organs of Scots pine seedlings throughout the experiment: (<b>a</b>) hypocotyl diameter; (<b>b</b>) epicotyl length; and (<b>c</b>) number of needles. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)). The significance of the variant (V), sampling time (T), and variant × time (V × T) interactions were calculated using 2-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with a circle (•) indicating a significant difference and “ns” indicating no significant difference.</p>
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<p>The nutrient contents: (<b>a</b>,<b>b</b>) Zn; (<b>c</b>,<b>d</b>) Mg; (<b>e</b>,<b>f</b>) Fe; (<b>g</b>,<b>h</b>) Mn; and (<b>i</b>,<b>j</b>) Cu in the roots (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>,<b>i</b>) and needles (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>,<b>j</b>) of Scots pine seedlings throughout the experiment. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)).</p>
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<p>Heatmap analysis of low-molecular-weight antioxidant and lignin contents in the roots and needles of Scots pine seedlings during the experiment. The value of a given parameter in the control plants at the initial point was taken as 1.0 (white); the relative increase is indicated in green, and the relative decrease is indicated in red. Pairwise comparisons of the means with controls at corresponding time points were performed using the Student’s <span class="html-italic">t</span>-test for normally distributed data (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by asterisks (*)) or the Mann–Whitney rank sum test when the <span class="html-italic">t</span>-test was not applicable (significant differences at <span class="html-italic">p</span> &lt; 0.05 denoted by multiplication symbols (×)).</p>
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<p>Lignin content in the epicotyls (after removing the needles) of the plants on the 28th day of the experiment. Statistical analyses of the data were performed with one-way ANOVA followed by Duncan’s post hoc test. Identical lowercase letters indicate that there are no differences between the experimental groups.</p>
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13 pages, 7292 KiB  
Article
Assessment of CO2 Sequestration Capacity in a Low-Permeability Oil Reservoir Using Machine Learning Methods
by Zuochun Fan, Mei Tian, Man Li, Yidi Mi, Yue Jiang, Tao Song, Jinxin Cao and Zheyu Liu
Energies 2024, 17(16), 3979; https://doi.org/10.3390/en17163979 (registering DOI) - 11 Aug 2024
Abstract
The CO2 sequestration capacity evaluation of reservoirs is a critical procedure for carbon capture, utilization, and storage (CCUS) techniques. However, calculating the sequestration amount for CO2 flooding in low-permeability reservoirs is challenging. Herein, a method combining numerical simulation technology with artificial [...] Read more.
The CO2 sequestration capacity evaluation of reservoirs is a critical procedure for carbon capture, utilization, and storage (CCUS) techniques. However, calculating the sequestration amount for CO2 flooding in low-permeability reservoirs is challenging. Herein, a method combining numerical simulation technology with artificial intelligence is proposed. Based on the typical geological and fluid characteristics of low-permeability oil reservoirs in the Liaohe oilfield, the CMG 2020 version software GEM module is used to establish a model for CO2 flooding and sequestration. Meanwhile, a calculation method for the effective sequestration coefficient of CO2 is established. We systematically study the sequestration rules in low-permeability reservoirs under varying conditions of permeability, reservoir temperature, and initial reservoir pressure. The results indicate that, as the permeability and sequestration pressure of the reservoir increase, oil recovery gradually increases. The proportion of structurally bound sequestration volume increases from 55% to 60%. Reservoir temperature has minimal impact on both the recovery rate and the improvement in sequestration efficiency. Sequestration pressure primarily improves sequestration efficiency by increasing the dissolution of CO2 in the remaining oil and water. The calculation chart for the effective sequestration coefficient, developed using artificial intelligence algorithms under multi-factor conditions, enables accurate and rapid evaluation of the sequestration potential and the identification of favorable sequestration areas in low-permeability reservoirs. This approach provides valuable technical support for CO2 flooding and sequestration in pilot applications. Full article
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Figure 1
<p>Fitting results of the multi-stage degassing experiment of formation fluid. (<b>a</b>) Fitting results of volume factor. (<b>b</b>) Fitting results of crude oil density.</p>
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<p>The established well group model and the current remaining oil distribution after historical fitting. (<b>a</b>) A typical well group model for low-permeability reservoirs in the study area. (<b>b</b>) Distribution of remaining oil after historical fitting.</p>
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<p>Relative permeability curves after historical fitting. (<b>a</b>) Oil–water relative permeability curve. (<b>b</b>) Gas–liquid relative permeability curve.</p>
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<p>The results of CO<sub>2</sub> solubility determination in oil and water in the study area. (<b>a</b>) Solubility determination results in water. (<b>b</b>) Solubility determination results in oil.</p>
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<p>Mole fraction of CO<sub>2</sub> in the oil phase under different permeability conditions.</p>
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<p>Effect of permeability on CO<sub>2</sub> storage in oil reservoirs with low permeability.</p>
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<p>Effect of temperature on CO<sub>2</sub> storage in thin oil reservoirs with low permeability.</p>
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<p>Effect of temperature on the average molar fraction of CO<sub>2</sub> in the oil phase.</p>
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<p>The curves of recovery factor and gas–oil ratio under different initial reservoir pressure conditions.</p>
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<p>Distribution of residual oil after CO<sub>2</sub> flooding under different original formation pressures.</p>
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<p>Calculation graph of the effective storage coefficient of a low-permeability reservoir in the study area. (<b>a</b>) 28 MPa. (<b>b</b>) 31 MPa.</p>
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19 pages, 12227 KiB  
Article
Research on Polarization Modulation of Electro-Optical Crystals for 3D Imaging Reconstruction
by Houpeng Sun, Yingchun Li, Huichao Guo, Chenglong Luan, Laixian Zhang, Haijing Zheng and Youchen Fan
Micromachines 2024, 15(8), 1023; https://doi.org/10.3390/mi15081023 (registering DOI) - 11 Aug 2024
Abstract
A method for enhancing the resolution of 3D imaging reconstruction by employing the polarization modulation of electro-optical crystals is proposed. This technique utilizes two polarizers oriented perpendicular to each other along with an electro-optical modulation crystal to achieve high repetition frequency and narrow [...] Read more.
A method for enhancing the resolution of 3D imaging reconstruction by employing the polarization modulation of electro-optical crystals is proposed. This technique utilizes two polarizers oriented perpendicular to each other along with an electro-optical modulation crystal to achieve high repetition frequency and narrow pulse width gating. By varying the modulation time series of the electro-optical crystal, three-dimensional gray images of the laser at different distances are acquired, and the three-dimensional information of the target is reconstructed using the range energy recovery algorithm. This 3D imaging system can be implemented with large area detectors, independent of the an Intensified Charge-Coupled Device (ICCD) manufacturing process, resulting in improved lateral resolution. Experimental results demonstrate that when imaging a target at the distance of 20 m, the lateral resolution within the region of interest is 2560 × 2160, with a root mean square error of 3.2 cm. Full article
(This article belongs to the Special Issue Optical and Laser Material Processing)
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Figure 1
<p>Schematic diagram of the modulation process of a crystal by EMCCD imaging.</p>
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<p>Schematic diagram of 3D imaging reconstruction based on polarization modulation gating of electro-optical crystal.</p>
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<p>Signal timing diagram.</p>
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<p>Schematic diagram of crystal polarization-modulated gated 3D imaging: (<b>a</b>) 3D imaging process; (<b>b</b>) 3D imaging restoration.</p>
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<p>Three-dimensional imaging distance–energy diagram: (<b>a</b>) laser pulse and crystal shutter; (<b>b</b>) the relationship between the echo energy and the target distance.</p>
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<p>Schematic diagram of the energy of two echo signals.</p>
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<p>Distance grayscale curve of a trapezoid.</p>
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<p>The propagation of light in an electro-optical crystal.</p>
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<p>SRefractive index ellipsoid.</p>
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<p>Polarization modulation of electro-optical crystal light intensity distribution. (<b>a</b>) the light intensity distribution of the electro-optical crystal in the “off” state; (<b>b</b>) the light intensity distribution of the electro-optical crystal in the “on” state.</p>
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<p>Schematic diagram of crystal polarization modulation.</p>
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<p>The prototype of the 3D imaging system is based on electro-optical crystal polarization modulation.</p>
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<p>Three-dimensional imaging target. (<b>a</b>) semi-ellipsoidal object; (<b>b</b>) satellite object; (<b>c</b>) space station object.</p>
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<p>Waveform diagram of the laser pulse and electro-optic-modulated shutter signal. (<b>a</b>) Laser pulse waveform; (<b>b</b>) The electro-optical crystal modulates the shutter waveform.</p>
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<p>The timing relationship between the laser pulse and electro-optical-modulated shutter signal. (<b>a</b>) The laser pulse signal is tangent to the electro-optical crystal-modulated shutter; (<b>b</b>) The laser pulse signal enters the electro-optical-modulated shutter completely.</p>
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<p>Three-dimensional imaging results. Imaging results of space station (<b>a</b>–<b>c</b>); imaging results of satellite (<b>d</b>–<b>f</b>); and imaging results of semi-ellipsoidal object (<b>g</b>–<b>i</b>).</p>
Full article ">Figure 16 Cont.
<p>Three-dimensional imaging results. Imaging results of space station (<b>a</b>–<b>c</b>); imaging results of satellite (<b>d</b>–<b>f</b>); and imaging results of semi-ellipsoidal object (<b>g</b>–<b>i</b>).</p>
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<p>Three-dimensional imaging preprocessing results. (<b>a</b>) preprocessing result of the space station object; (<b>b</b>) preprocessing result of the satellite object; (<b>c</b>) preprocessing result of the semi-ellipsoidal object.</p>
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<p>Three-dimensional imaging distance depth image. (<b>a</b>) distance depth image of the space station object; (<b>b</b>) distance depth image of the satellite object; (<b>c</b>) distance depth image of the semi-ellipsoidal object.</p>
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<p>Three-dimensional imaging point cloud image. (<b>a</b>) point cloud image of the space station object; (<b>b</b>) point cloud image of the satellite object; (<b>c</b>) point cloud image of the semi-ellipsoidal object.</p>
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<p>The target area is selected for evaluation measurements; red squares were selected for evaluation; each red square was 100 × 100 pixels.</p>
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<p>Distance information histogram distribution, the number represents the percentage of distance x.</p>
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<p>The target area is selected for evaluation measurements.</p>
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17 pages, 2695 KiB  
Article
Studies of TLC-Chromatographic Quantification of Astaxanthin in Dietary Supplements and Its Antioxidant Activity
by Iwona Dymek, Joanna Żandarek, Małgorzata Starek and Monika Dąbrowska
Processes 2024, 12(8), 1680; https://doi.org/10.3390/pr12081680 (registering DOI) - 11 Aug 2024
Abstract
Astaxanthin is a red carotenoid pigment known for its strong antioxidant and immune-supporting properties, which are higher than other carotenoids. The aim of this study was the qualitative and quantitative evaluation of dietary supplements containing astaxanthin. First, optimal conditions for conducting analyses using [...] Read more.
Astaxanthin is a red carotenoid pigment known for its strong antioxidant and immune-supporting properties, which are higher than other carotenoids. The aim of this study was the qualitative and quantitative evaluation of dietary supplements containing astaxanthin. First, optimal conditions for conducting analyses using the TLC technique with densitometric detection were developed. The mobile phase consisting of methanol: ethyl acetate: 1,4-dioxane (1:3:6 v/v/v) was selected, while the stationary phase consisted of Silica gel 60 F254. Densitometric detection was performed at 460 nm. Next, the validation process of the developed method was carried out according to the guidelines of the International Conference on Harmonization (ICH). The range of linearity tested was 0.0026–0.0100 µg/spot, and the determined LOD and LOQ values were 0.85 and 2.57 ng/μL, respectively. The variation coefficient at the level of 4.75% proves good precision. The percentage of recovery was in the range of 95.25–104.94%. The obtained results confirmed the good accuracy of the method. Subsequently, quantitative analyses of the preparations were carried out. Analysis of dietary supplements showed significant deviations from the declared astaxanthin content. Astaxanthin solutions were stable in alkaline environments and when exposed to light and oxidizing substances; however, the substance degraded in acidic environments. The performed antioxidant capacity tests confirmed the high antioxidant activity of astaxanthin. Full article
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Figure 1
<p>Densitometrically recorded absorption spectrum in the range from 200 to 800 nm for the astaxanthin standard solution (stationary phase used: TLC Silica gel 60F<sub>254</sub>, mobile phase: methanol: ethyl acetate: 1,4-dioxane (1:3:6 <span class="html-italic">v</span>/<span class="html-italic">v</span>/<span class="html-italic">v</span>).</p>
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<p>Plot of surface area [mm<sup>2</sup>] vs. concentration of astaxanthin standard solution [µg/spot] (<b>a</b>) and plot of residues (<b>b</b>).</p>
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<p>An example densitogram recorded for astaxanthin after UV–Vis irradiation for 24 h (analogous to that in alkaline and oxidizing conditions).</p>
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<p>Densitogram recorded for an astaxanthin solution in 0.1 mol/L HCl (<b>a</b>) immediately after preparation, (<b>b</b>) after 2 h of incubation at 25 °C.</p>
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<p>Absorbance vs. concentration graphs of antioxidant capacity for astaxanthin vs. reference ascorbic acid; DPPH method. Data presented as mean ± standard deviation (<span class="html-italic">n</span> = 3).</p>
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<p>Absorbance vs. concentration graphs of antioxidant capacity for astaxanthin vs. reference ascorbic acid; reduction of iron(III) ions. Data presented as mean ± standard deviation (<span class="html-italic">n</span> = 3).</p>
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<p>Absorbance vs. concentration graphs of antioxidant capacity for astaxanthin vs. reference ascorbic acid; phosphomolybdenum method. Data presented as mean ± standard deviation (<span class="html-italic">n</span> = 3).</p>
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<p>Absorbance vs. concentration graphs of antioxidant capacity for astaxanthin vs. reference ascorbic acid; chelation of iron ions. Data presented as mean ± standard deviation (<span class="html-italic">n</span> = 3).</p>
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<p>Chemical structure of astaxanthin.</p>
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<p>Graph of ascorbic acid equivalents (AAE [%]) determined by (<b>a</b>) DPPH, (<b>b</b>) reduction of iron(III) ions, (<b>c</b>) phosphomolybdenum, and (<b>d</b>) chelation of iron ions methods. Data presented as mean ± standard deviation (<span class="html-italic">n</span> = 3).</p>
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24 pages, 5184 KiB  
Article
Mathematical Model of the Migration of the CO2-Multicomponent Gases in the Inorganic Nanopores of Shale
by Xiangji Dou, Hong Li, Sujin Hong, Mingguo Peng, Yanfeng He, Kun Qian, Luyao Guo and Borui Ma
Processes 2024, 12(8), 1679; https://doi.org/10.3390/pr12081679 (registering DOI) - 11 Aug 2024
Abstract
Nanopores in shale reservoirs refer to extremely small pores within the shale rock, categorised into inorganic and organic nanopores. Due to the differences in the hydrophilicity of the pore walls, the gas migration mechanisms vary significantly between inorganic and organic nanopores. By considering [...] Read more.
Nanopores in shale reservoirs refer to extremely small pores within the shale rock, categorised into inorganic and organic nanopores. Due to the differences in the hydrophilicity of the pore walls, the gas migration mechanisms vary significantly between inorganic and organic nanopores. By considering the impact of irreducible water and the variations in effective migration pathways caused by pore pressure and by superimposing the weights of different migration mechanisms, a mathematical model for the migration of CO2-multicomponent gases in inorganic nanopores of shale reservoirs has been established. The aim is to accurately clarify the migration laws of multi-component gases in shale inorganic nanopores. Additionally, this paper analyses the contributions of different migration mechanisms and studies the effects of various factors, such as pore pressure, pore size, component ratios, stress deformation, and water film thickness, on the apparent permeability of the multi-component gases in shale inorganic nanopores. The research results show that at high pressure and large pore size (pore pressure greater than 10 MPa, pore size greater than 4 nm), slippage flow dominates, while at low pressure and small pore size (pore pressure less than 10 MPa, pore size less than 4 nm), Knudsen diffusion dominates. With the increase of the stress deformation coefficient, the apparent permeability of gas gradually decreases. When the stress deformation coefficient is less than 0.05 MPa−1, the component ratio significantly impacts bulk apparent permeability. However, when the coefficient exceeds 0.05 MPa−1, this influence becomes negligible. The research results provide a theoretical basis and technical support for accurately predicting shale gas productivity, enhancing shale gas recovery, and improving CO2 storage efficiency. Full article
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<p>Schematic diagram of the migration mechanism of multi-component gases in inorganic nanopores.</p>
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<p>Schematic diagram of gas migration. (The rightward-pointing arrow indicates the direction of motion of the CO<sub>2</sub> gas molecules, and the leftward-pointing arrow indicates the direction of motion of the CH<sub>4</sub> gas molecules) (<b>a</b>) Stage I; (<b>b</b>) Stage II; (<b>c</b>) Stage III.</p>
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<p>Slippage flow: (<b>a</b>) Variation of permeability of slippage flow with pore pressure; (<b>b</b>) Variation of the weight of the slippage flow permeability with pore pressure (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1).</p>
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<p>Knudsen diffusion: (<b>a</b>) Variation of Knudsen diffusion permeability with pore pressure; (<b>b</b>) Variation of the weight of Knudsen diffusion permeability with pore pressure (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1).</p>
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<p>The weight of different migration mechanisms varies with pore pressure in different pore sizes (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1): (<b>a</b>) r = 2 nm; (<b>b</b>) r = 4 nm; (<b>c</b>) r = 6 nm; (<b>d</b>) r = 8 nm; (<b>e</b>) r = 10 nm; (<b>f</b>) r = 15 nm.</p>
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<p>Effect of pore pressure on bulk phase apparent permeability in different pore sizes (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1).</p>
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<p>Variation of bulk phase apparent permeability with pore pressure under different component proportions: (<b>a</b>) r = 2 nm; (<b>b</b>) r = 4 nm; (<b>c</b>) r = 6 nm; (<b>d</b>) r = 8 nm; (<b>e</b>) r = 10 nm; (<b>f</b>) r = 15 nm.</p>
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<p>Variation of bulk phase apparent permeability with pore pressure under different stress sensitivity coefficients (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1): (<b>a</b>) r = 2 nm; (<b>b</b>) r = 4 nm; (<b>c</b>) r = 6 nm; (<b>d</b>) r = 8 nm; (<b>e</b>) r = 10 nm; (<b>f</b>) r = 15 nm.</p>
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<p>Variation of bulk phase apparent permeability with pore pressure under different stress sensitivity coefficients (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1): (<b>a</b>) r = 2 nm; (<b>b</b>) r = 4 nm; (<b>c</b>) r = 6 nm; (<b>d</b>) r = 8 nm; (<b>e</b>) r = 10 nm; (<b>f</b>) r = 15 nm.</p>
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<p>Impact of stress sensitivity coefficient and component ratio on bulk phase permeability (r = 6 nm).</p>
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<p>Effect of water film on bulk phase permeability (CO<sub>2</sub>:CH<sub>4</sub>:C<sub>2</sub>H<sub>6</sub> = 2:1:1): (<b>a</b>) r = 2 nm; (<b>b</b>) r = 4 nm; (<b>c</b>) r = 6 nm; (<b>d</b>) r = 8 nm; (<b>e</b>) r = 10 nm; (<b>f</b>) r = 15 nm.</p>
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<p>Comparison of Knudsen Diffusion Permeability, Slippage Permeability, and Total Permeability with Previous Models (<b>a</b>–<b>c</b>).</p>
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18 pages, 3511 KiB  
Article
Maximizing Bioactive Compound Extraction from Mandarin (Citrus reticulata) Peels through Green Pretreatment Techniques
by Dimitrios Kalompatsios, Alexandra-Ioana Ionescu, Vassilis Athanasiadis, Theodoros Chatzimitakos, Martha Mantiniotou, Konstantina Kotsou, Eleni Bozinou and Stavros I. Lalas
Oxygen 2024, 4(3), 307-324; https://doi.org/10.3390/oxygen4030018 (registering DOI) - 11 Aug 2024
Abstract
This study explored the use of mandarin peels as an important source of health-promoting compounds by utilizing green methods (i.e., pulsed electric field and ultrasound-assisted extraction), along with conventional stirring. The impact of several extraction parameters, such as extraction duration, temperature, and solvent [...] Read more.
This study explored the use of mandarin peels as an important source of health-promoting compounds by utilizing green methods (i.e., pulsed electric field and ultrasound-assisted extraction), along with conventional stirring. The impact of several extraction parameters, such as extraction duration, temperature, and solvent composition, on the recovery of bioactive compounds was evaluated through a response surface methodology. To identify the most effective conditions for all assays, a partial least-squares analysis was implemented. It was revealed that a combination of the above techniques was optimal at 80 °C for 30 min, with 75% v/v of ethanol in water as the extraction solvent. The concentration of bioactive compounds in the optimum extract had a total polyphenol content of 18.69 mg of gallic acid equivalents (GAE) per gram of dry weight (dw), and an ascorbic acid concentration of 18.25 mg/g dw. However, correlation analyses revealed a rather negative relationship between these bioactive compounds. The chromatographic analysis of optimum extracts supported this result by quantifying 20.53 mg/g dw of total individual polyphenols, with hesperidin being the dominant compound (13.98 mg/g dw). The antioxidant assays, including ferric-reducing antioxidant power and DPPH inhibition activity, were measured at 123.21 and 65.12 μmol of ascorbic acid equivalents (AAE) per gram of dw, respectively. This research enhances the valorization of mandarin peels as a renewable source of bioactive compounds, providing the opportunity to generate high-added-value products from food waste in the food and pharmaceutical sectors. Full article
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<p>The extraction procedure of mandarin peel powder using a stirring process and pretreatment techniques.</p>
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<p>The optimal extraction of mandarin peel extracts in 3D graphs shows the impact of the process variables considered in the response (total polyphenol content—TPC, mg GAE/g). Plot (<b>A</b>), covariation of <span class="html-italic">X</span><sub>1</sub> and <span class="html-italic">X</span><sub>2</sub>; plot (<b>B</b>), covariation of <span class="html-italic">X</span><sub>1</sub> and <span class="html-italic">X</span><sub>3</sub>; plot (<b>C</b>), covariation of <span class="html-italic">X</span><sub>1</sub> and <span class="html-italic">X</span><sub>4</sub>; plot (<b>D</b>), covariation of <span class="html-italic">X</span><sub>2</sub> and <span class="html-italic">X</span><sub>3</sub>; plot (<b>E</b>), covariation of <span class="html-italic">X</span><sub>2</sub> and <span class="html-italic">X</span><sub>4</sub>; plot (<b>F</b>), covariation of <span class="html-italic">X</span><sub>3</sub> and <span class="html-italic">X</span><sub>4</sub>.</p>
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<p>Pareto plots of transformed estimates for TPC (<b>A</b>), FRAP (<b>B</b>), DPPH (<b>C</b>), and AAC (<b>D</b>) assays. A gold line is drawn on the plot as a reference to indicate the significance level (<span class="html-italic">p</span> &lt; 0.05). The cumulative sum grey line in the plots sums the absolute values of the estimates.</p>
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<p>Principal component analysis (PCA) for the investigated measured variables. Each <span class="html-italic">X</span> variable is highlighted with a blue color.</p>
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<p>Partial least-squares (PLS) prediction profiler of each variable and desirability function with extrapolation control for the optimization of mandarin peel extracts.</p>
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<p>A representative HPLC chromatogram of the optimal mandarin peel extract reveals the presence of identified polyphenolic compounds at 280 and 320 nm. 1: Neochlorogenic acid; 2: catechin; 3: chlorogenic acid; 4: vanillic acid; 5: Ferulic acid; 6: rutin; 7: quercetin 3-<span class="html-italic">D</span>-galactoside; 8: luteolin-7-glucoside; 9: narirutin; 10: hesperidin; 11: kaempferol.</p>
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14 pages, 902 KiB  
Article
Solid-State Fermentation for Phenolic Compounds Recovery from Mexican Oregano (Lippia graveolens Kunth) Residual Leaves Applying a Lactic Acid Bacteria (Leuconostoc mesenteroides)
by Israel Bautista-Hernández, Ricardo Gómez-García, Cristóbal N. Aguilar, Guillermo C. G. Martínez-Ávila, Cristian Torres-León and Mónica L. Chávez-González
Agriculture 2024, 14(8), 1342; https://doi.org/10.3390/agriculture14081342 (registering DOI) - 11 Aug 2024
Abstract
The Mexican oregano by-products are a source of bioactive molecules (polyphenols) that could be extracted using solid-state fermentation (SSF). This study fermented the by-products via SSF (120 h) with a lactic acid bacteria (LAB) Leuconostoc mesenteroides. Sequentially, a bioactive and chemical determination [...] Read more.
The Mexican oregano by-products are a source of bioactive molecules (polyphenols) that could be extracted using solid-state fermentation (SSF). This study fermented the by-products via SSF (120 h) with a lactic acid bacteria (LAB) Leuconostoc mesenteroides. Sequentially, a bioactive and chemical determination was made according to the phenolic content, antioxidant activity (DPPH/FRAP), bioactive properties (α-amylase inhibition and antimicrobial activity against Escherichia coli), and chemical composition (HPLC-MS). The results showed that the total phenolics and flavonoid content, as well as the antioxidant activity, increased (0.60, 2.55, and 3.01 times, respectively) during the SSF process compared with unfermented material. Also, the extracts showed antimicrobial activity against E. coli and α-amylase inhibition. These inhibitory results could be attributed to bioactive compounds identified via HPLC, such as gardenin B, trachelogenin, ferulic acid, and resveratrol 3-O-glucoside. Therefore, the application of L. mesenteroides under SSF on oregano by-products comprises an eco-friendly strategy for their valorization as raw materials for the recovery of phenolic compounds that could be natural alternatives against synthetic antioxidant and antimicrobial agents, promoting a more circular and sustainable supply system within the oregano industry. Full article
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<p>General process diagram of bioactive activity and chemical evaluation of <span class="html-italic">Lippia graveolens</span> by-product valorization through SSF process.</p>
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<p>Polyphenolic compounds concentration in fermentative extracts obtained from SSF process using <span class="html-italic">L. mesenteroides</span>. (<b>A</b>) Total polyphenolic content (TPC) and (<b>B</b>) total flavonoid content (TFC). Different letters show significant differences (α = 0.05).</p>
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<p>Antioxidant activity of fermentative extracts via the SSF process using <span class="html-italic">L. mesenteroides</span>; (<b>A</b>) FRAP assay and (<b>B</b>) DPPH<sup>●</sup> assay. The different letters show significant differences (α = 0.05).</p>
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15 pages, 1633 KiB  
Article
Design of Experiments and Optimization of Monacolin K Green Extraction from Red Yeast Rice by Ultra-High-Performance Liquid Chromatography
by Lara Davani, Cristina Terenzi, Angela De Simone, Vincenzo Tumiatti, Vincenza Andrisano and Serena Montanari
Foods 2024, 13(16), 2509; https://doi.org/10.3390/foods13162509 (registering DOI) - 11 Aug 2024
Viewed by 102
Abstract
Monacolin K (MK), in red yeast rice (RYR) in the forms of lactone (LMK) and hydroxy acid (AMK), is known for its anti-hypercholesterolemic activity. Under the rising demand for natural bioactive molecules, we present a green ultrasound-assisted extraction (UAE) optimization study for MK [...] Read more.
Monacolin K (MK), in red yeast rice (RYR) in the forms of lactone (LMK) and hydroxy acid (AMK), is known for its anti-hypercholesterolemic activity. Under the rising demand for natural bioactive molecules, we present a green ultrasound-assisted extraction (UAE) optimization study for MK in RYR. The development and validation of a fast, sensitive, selective, reproducible, and accurate ultra-high-performance liquid chromatography (UHPLC) method coupled to diode array detection for LMK and AMK allowed us to evaluate the MK recovery in different extract media. Firstly, the ethanol comparability to acetonitrile was assessed (recovery of 80.7 ± 0.1% for ethanol and 85.5 ± 0.2% for acetonitrile). Then, water/ethanol mixtures, with decreasing percentages of organic solvent, were tested by modulating temperature and extraction times. Water extractions at 80 °C for 10 min produced MK yield > 85%. Thus, UAE conditions were optimized by a DOE study using a water-based formulation (mouthwash). The optimal total MK extraction yield (86.6 ± 0.4%) was found under the following conditions: 80 °C, 45 min, 5 mg mL−1 (RYR powder/solvent). Therefore, the new single-process green approach allowed the simultaneous direct extraction of MK and mouthwash enrichment (MK concentration = 130.0 ± 0.6 µg mL−1), which might be tested for the prevention and treatment of periodontitis or oral candidiasis. Full article
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<p>Investigated MK chemical structures: lactone LMK (<b>A</b>) and hydroxy acid AMK (<b>B</b>).</p>
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<p>UHPLC-DAD analysis of the RYR water formulation extract. Chromatographic conditions: C4 stationary phase, mobile phase: ACN and water (0.1% of acetic acid) 50:50 (<span class="html-italic">v</span>/<span class="html-italic">v</span>), flow rate 0.2 mL min<sup>−1</sup>; detection at 237 nm: (1) saccharin, (2) sodium benzoate, (3) AMK, and (4) LMK.</p>
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<p>(<b>a</b>) Coefficient plot reports the primary effects of temperature, time, mass, and the interaction effect of temperature × mass for the MK yield of extraction; (<b>b</b>) Summary of Fit reports values regarding R<sup>2</sup>, Q<sup>2</sup>, model validity, and reproducibility of the performed DOE.</p>
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<p>Three-dimensional response contours of MK extractions with time, temperature, and yield at a solid/solvent 5 mg mL<sup>−1</sup> ratio.</p>
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<p>LMK + AMK yields after UAE under DOE experimental conditions.</p>
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30 pages, 10268 KiB  
Article
Musculoskeletal Disorder (MSD) Health Data Collection, Personalized Management and Exchange Using Fast Healthcare Interoperability Resources (FHIR)
by Fabio A. Seixas-Lopes, Carlos Lopes, Maria Marques, Carlos Agostinho and Ricardo Jardim-Goncalves
Sensors 2024, 24(16), 5175; https://doi.org/10.3390/s24165175 (registering DOI) - 10 Aug 2024
Viewed by 418
Abstract
With the proliferation and growing complexity of healthcare systems emerges the challenge of implementing scalable and interoperable solutions to seamlessly integrate heterogenous data from sources such as wearables, electronic health records, and patient reports that can provide a comprehensive and personalized view of [...] Read more.
With the proliferation and growing complexity of healthcare systems emerges the challenge of implementing scalable and interoperable solutions to seamlessly integrate heterogenous data from sources such as wearables, electronic health records, and patient reports that can provide a comprehensive and personalized view of the patient’s health. Lack of standardization hinders the coordination between systems and stakeholders, impacting continuity of care and patient outcomes. Common musculoskeletal conditions affect people of all ages and can have a significant impact on quality of life. With physical activity and rehabilitation, these conditions can be mitigated, promoting recovery and preventing recurrence. Proper management of patient data allows for clinical decision support, facilitating personalized interventions and a patient-centered approach. Fast Healthcare Interoperability Resources (FHIR) is a widely adopted standard that defines healthcare concepts with the objective of easing information exchange and enabling interoperability throughout the healthcare sector, reducing implementation complexity without losing information integrity. This article explores the literature that reviews the contemporary role of FHIR, approaching its functioning, benefits, and challenges, and presents a methodology for structuring several types of health and wellbeing data, that can be routinely collected as observations and then encapsulated in FHIR resources, to ensure interoperability across systems. These were developed considering health industry standard guidelines, technological specifications, and using the experience gained from the implementation in various study cases, within European health-related research projects, to assess its effectiveness in the exchange of patient data in existing healthcare systems towards improving musculoskeletal disorders (MSDs). Full article
(This article belongs to the Section Wearables)
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<p>Example of a FHIR resource represented in JSON.</p>
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<p>Personalized MSD Health Data Collection and Management overview.</p>
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<p>Improving physical activity—healthcare cycle [<a href="#B72-sensors-24-05175" class="html-bibr">72</a>].</p>
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<p>Hardware used in the data collection: (<b>a</b>) MedX lumbar extension machine; (<b>b</b>) wearable devices.</p>
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<p>BLE device attributes’ structure example.</p>
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<p>Communication between the device and Citizen Hub [<a href="#B74-sensors-24-05175" class="html-bibr">74</a>].</p>
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<p>Observation definition in Citizen Hub: (<b>a</b>) observation resource example for a posture measurement; (<b>b</b>) observation resource specification.</p>
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<p>Citizen Hub IoT architecture.</p>
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<p>Continua end-to-end reference architecture [<a href="#B80-sensors-24-05175" class="html-bibr">80</a>].</p>
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<p>Implementation of CDG in Citizen Hub, based on the reference architecture.</p>
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<p>Resource for authorship of data.</p>
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<p>Wearable data profile [<a href="#B81-sensors-24-05175" class="html-bibr">81</a>].</p>
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<p>Heart rate observation resource.</p>
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<p>Activity observation resource.</p>
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<p>Posture observation resource.</p>
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<p>Posture observation resource.</p>
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<p>Blood pressure observation resource.</p>
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<p>Lumbar extension training observation resource.</p>
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<p>Report resource.</p>
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<p>Device resource.</p>
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<p>Structure Definition data model.</p>
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<p>Citizen Hub data collection simplified architecture.</p>
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<p>Citizen Hub data collection simplified architecture [<a href="#B85-sensors-24-05175" class="html-bibr">85</a>].</p>
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<p>Comorbidities addressed in the PoP and technical overview for data sharing [<a href="#B86-sensors-24-05175" class="html-bibr">86</a>].</p>
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<p>ICU4Covid implementation of devices and sensors [<a href="#B27-sensors-24-05175" class="html-bibr">27</a>].</p>
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<p>Citizen Hub user interface.</p>
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11 pages, 5723 KiB  
Article
Effects of Human Neural Stem Cells Overexpressing Neuroligin and Neurexin in a Spinal Cord Injury Model
by Jiwon Jeong, Yunseo Choi, Narae Kim, Haneul Lee, Eun-Jung Yoon and Dongsun Park
Int. J. Mol. Sci. 2024, 25(16), 8744; https://doi.org/10.3390/ijms25168744 (registering DOI) - 10 Aug 2024
Viewed by 329
Abstract
Recent studies have highlighted the therapeutic potential of stem cells for various diseases. However, unlike other tissues, brain tissue has a specific structure, consisting of synapses. These synapses not only transmit but also process and refine information. Therefore, synaptic regeneration plays a key [...] Read more.
Recent studies have highlighted the therapeutic potential of stem cells for various diseases. However, unlike other tissues, brain tissue has a specific structure, consisting of synapses. These synapses not only transmit but also process and refine information. Therefore, synaptic regeneration plays a key role in therapy of neurodegenerative disorders. Neurexins (NRXNs) and neuroligins (NLGNs) are synaptic cell adhesion molecules that connect pre- and postsynaptic neurons at synapses, mediate trans-synaptic signaling, and shape neural network properties by specifying synaptic functions. In this study, we investigated the synaptic regeneration effect of human neural stem cells (NSCs) overexpressing NRXNs (F3.NRXN) and NLGNs (F3.NLGN) in a spinal cord injury model. Overexpression of NRXNs and NLGNs in the neural stem cells upregulated the expression of synaptophysin, PSD95, VAMP2, and synapsin, which are synaptic markers. The BMS scores indicated that the transplantation of F3.NRXN and F3.NLGN enhanced the recovery of locomotor function in adult rodents following spinal cord injury. Transplanted F3.NRXN and F3.NLGN differentiated into neurons and formed a synapse with the host cells in the spinal cord injury mouse model. In addition, F3.NRXN and F3.NLGN cells restored growth factors (GFs) and neurotrophic factors (NFs) and induced the proliferation of host cells. This study suggested that NSCs overexpressing NRXNs and NLGNs could be candidates for cell therapy in spinal cord injuries by facilitating synaptic regeneration. Full article
(This article belongs to the Special Issue Therapeutic Uses of Adult Stem Cells)
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<p>Construction of F3.NLGN and F3.NRXN cells. (<b>A</b>) F3.NLGN and F3.NRXN cells were constructed via the transfection of F3 human neural stem cells with a plasmid vector encoding either human NLGNs or NRXNs. (<b>B</b>–<b>D</b>) Expression of NLGNs and NRXNs in F3.NLGN and F3.NRXN cells assessed via (<b>B</b>) Western blotting and (<b>C</b>,<b>D</b>) immunohistochemistry. Scale bar = 30 μm</p>
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<p>Expression of synaptic markers (synaptophysin, PSD95, VAMP2, and synapsin) in F3.NLGN and F3.NRXN cells. (<b>A</b>) Expression of synaptic markers assessed by means of Western blotting. (<b>B</b>) Band densities normalized to actin. Densitometric analysis of the Western blot was performed using ImageJ 1.54g. <span class="html-italic">n</span> = 3 per treatment group. * Significantly different from F3 cells (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Improvement in locomotor recovery after F3.NLGN and F3.NRXN transplantation in SCI mice. (<b>A</b>) Locomotor BMS scores following T7 complete transection SCI. (<b>B</b>) Grid walk errors in mice 5 weeks after SCI. (<b>C</b>) Stride length of the hindlimbs at 5 weeks after injury in F3.NLGN and F3.NRXN groups. This value could not be measured in the vehicle and F3 groups because they crawled. (<b>D</b>) Representative footprints of the hindlimbs in the F3.NLGN and F3.NRXN groups. Data are expressed as mean ± standard deviation. <span class="html-italic">n</span> = 10. * Significantly different from the vehicle control (<span class="html-italic">p</span> &lt; 0.05). nm, not measured; BMS, Basso Motor Scale; SCI, spinal cord injury.</p>
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<p>Protein expression after F3.NLGN and F3.NRXN transplantation at the lesion site (2 mm rostral and caudal to injury center) in SCI mice. (<b>A</b>) Expression of synaptic markers. (<b>B</b>) Expression of BDNF and NGF. (<b>C</b>) Expression of the PI3K/PTEN/mTOR signaling pathway after F3.NLGN and F3.NRXN transplantation. Protein expression is analyzed by means of Western blotting. (<b>D</b>,<b>E</b>) Band densities normalized to actin. Densitometric analysis of the Western blot was performed using ImageJ. <span class="html-italic">n</span> = 10 per treatment group. # Significantly different from the normal control (<span class="html-italic">p</span> &lt; 0.05). * Significantly different from the vehicle control (<span class="html-italic">p</span> &lt; 0.05). SCI, spinal cord injury; BDNF, brain-derived neurotrophic factor; NGF, nerve growth factor.</p>
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<p>Differentiation of transplanted F3.NLGN and F3.NRXN cells into neurons in SCI mice. hMito (red color) was used as a stem cell marker. Neurofilament (green color) was used as a neuronal marker. DAPI (blue color) was used as a counterstain for the nucleus. Scale bar = 50 μm. SCI, spinal cord injury.</p>
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<p>Expression of VAMP2 in transplanted F3.NLGN and F3.NRXN cells in SCI mice. hMito (red color) was used as a stem cell marker. VAMP2 (green color) was used as a synaptic marker. DAPI (blue color) was used as a counterstain for the nucleus. Scale bar = 50 μm. SCI, spinal cord injury.</p>
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10 pages, 1157 KiB  
Article
The Influence of the COVID-19 Pandemic on the Addressability to Treatment of Children with Hyperhidrosis—A Retrospective Study and a Short Review
by Florentina Nastase, Alin Codrut Nicolescu, Camelia Busila, Cristina Mihaela Marin, Elena Roxana Bogdan Goroftei, Mircea Pompiliu Bogdan, Madalina Codruta Verenca, Raisa Eloise Barbu and Alin Laurentiu Tatu
Life 2024, 14(8), 995; https://doi.org/10.3390/life14080995 (registering DOI) - 10 Aug 2024
Viewed by 216
Abstract
Introduction: This study was carried out to demonstrate the negative influence that the COVID-19 pandemic had on the ability of patients to treat hyperhidrosis with iontophoresis. The purpose of this study is to identify the annual distribution of patients with hyperhidrosis as well [...] Read more.
Introduction: This study was carried out to demonstrate the negative influence that the COVID-19 pandemic had on the ability of patients to treat hyperhidrosis with iontophoresis. The purpose of this study is to identify the annual distribution of patients with hyperhidrosis as well as elaborate a curve of cases within the time interval studied. Methods: It is a retrospective study initiated in the Department of Neuropsychomotor Rehabilitation of the “Sf. Ioan” Emergency Clinical Hospital for Children, Galati, Romania, in which we analyzed the electronic database, the treatment, and the consultation files of all the children who presented between January 2013 and December 2023. We found 111 patients who met the inclusion criteria. Results: During the 3 years of the pandemic, the number of patients who came to our clinic suddenly dropped to 0. Limitations: This study was conducted on a relatively small number of patients in a Neuropsychomotor Recovery clinic. This study includes only patients with palmar and/or plantar hyperhidrosis who presented to the clinic for iontophoresis. Conclusion: Although it is a disease that significantly influences the quality of life, patients and their families do not consider hyperhidrosis to be an urgent problem that can be improved by treatment. Full article
(This article belongs to the Section Medical Research)
13 pages, 2208 KiB  
Article
Preoperative Carbohydrate Load Does Not Alter Glycemic Variability in Diabetic and Non-Diabetic Patients Undergoing Major Gynecological Surgery: A Retrospective Study
by Robert Canelli, Joseph Louca, Mauricio Gonzalez, Michelle Sia, Maxwell B. Baker, Shama Varghese, Erin Dienes and Federico Bilotta
J. Clin. Med. 2024, 13(16), 4704; https://doi.org/10.3390/jcm13164704 (registering DOI) - 10 Aug 2024
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Abstract
Background/Objectives: Elevated glycemic variability (GV) has been associated with postoperative morbidity. Traditional preoperative fasting guidelines may contribute to high GV by driving the body into catabolism. Enhanced recovery after surgery (ERAS) protocols that include a preoperative carbohydrate load (PCL) reduce hospital length [...] Read more.
Background/Objectives: Elevated glycemic variability (GV) has been associated with postoperative morbidity. Traditional preoperative fasting guidelines may contribute to high GV by driving the body into catabolism. Enhanced recovery after surgery (ERAS) protocols that include a preoperative carbohydrate load (PCL) reduce hospital length of stay and healthcare costs; however, it remains unclear whether PCL improves GV in surgical patients. The aim of this retrospective study was to determine the effect of a PCL on postoperative GV in diabetic and non-diabetic patients having gynecological surgery. Methods: Retrospective data were collected on patients who had gynecological surgery before and after the rollout of an institutional ERAS protocol that included PCL ingestion. The intervention group included patients who underwent surgery in 2019 and were enrolled in the ERAS protocol and, therefore, received a PCL. The control group included patients who underwent surgery in 2016 and, thus, were not enrolled in the protocol. The primary endpoint was GV, calculated by the coefficient of variance (CV) and glycemic lability index (GLI). Results: A total of 63 patients in the intervention group and 45 in the control were analyzed. GV was not statistically significant between the groups for CV (19.3% vs. 18.6%, p = 0.65) or GLI (0.58 vs. 0.54, p = 0.86). Postoperative pain scores (4.5 vs. 5.2 p = 0.23) and incentive spirometry measurements (1262 vs. 1245 p = 0.87) were not significantly different. A subgroup analysis of patients with and without type 2 diabetes mellitus revealed no significant differences in GV for any of the subgroups. Conclusions: This retrospective review highlights the need for additional GV research, including consensus agreement on a gold standard GV measurement. Large-scale prospective studies are needed to test the effectiveness of the PCL in reducing GV. Full article
(This article belongs to the Special Issue Advances in the Clinical Management of Perioperative Anesthesia)
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