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Search Results (66,122)

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26 pages, 19228 KiB  
Article
The Coupled Thermal Response Analysis of Green Roofs Based on the Discrete Element Method
by Chang Liu, Xiaoyong Zhang, Mingjie Jiang, Shengnan Zhu, Zhuan Wang and Jianxu Long
Buildings 2024, 14(12), 3984; https://doi.org/10.3390/buildings14123984 (registering DOI) - 15 Dec 2024
Abstract
As an effective energy-saving measure, green roofs significantly improve the thermal environment of buildings by covering the roof with vegetation and soil. This paper compares the thermal transfer performance of concrete roofs and green roofs under different temperature conditions. First, a uniaxial compression [...] Read more.
As an effective energy-saving measure, green roofs significantly improve the thermal environment of buildings by covering the roof with vegetation and soil. This paper compares the thermal transfer performance of concrete roofs and green roofs under different temperature conditions. First, a uniaxial compression discrete element method (DEM) was used to calibrate the mesoscopic parameters of concrete, ensuring an accurate representation of concrete properties. The results indicate that green roofs have significant insulation effects under high-temperature conditions in summer. After being exposed to high temperatures for 5 h, the temperature of the green roof was 23.4 degrees Celsius lower than that of the ordinary concrete roof. In addition, different initial temperatures of the model also have a certain impact on heat transfer. The higher the initial temperature, the slower the temperature increase under high-temperature conditions. In winter, the green roof significantly delays the cooling at the top of the building, demonstrating excellent thermal insulation performance. The maximum temperature difference compared with the concrete roof is 8 °C. Finally, there is an exponential relationship between the thermal resistivity of the green roof and the temperature. In conclusion, green roofs have significant energy-saving and environmental protection value. Full article
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Figure 1
<p>Diagram of green roof field test.</p>
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<p>Schematic diagram of particle heat transfer.</p>
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<p>The thermomechanical coupling model for the DEM.</p>
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<p>Simulation of uniaxial compression using discrete element method: (<b>a</b>) concrete sample, (<b>b</b>) schematic diagram of uniaxial compression discrete element.</p>
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<p>Stress–strain curves of uniaxial compression tests for different particle sizes.</p>
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<p>Simulation of stress–strain and crack number curves for concrete under uniaxial compression.</p>
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<p>Discrete element simulation results of concrete uniaxial compression test: (<b>a</b>) particle displacement cloud map, (<b>b</b>) particle displacement vector diagram, (<b>c</b>) crack propagation diagram.</p>
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<p>Concrete roof and green roof models: (<b>a</b>) structural schematic diagram, (<b>b</b>) discrete element model schematic diagram (unit: cm).</p>
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<p>Distribution of heat conduction pipes between the green roof and concrete.</p>
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<p>Temperature variation curve in summer.</p>
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<p>Discrete element model of high-temperature heat transfer between green roof and concrete roof.</p>
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<p>Cloud map of temperature changes at different times between green roof and concrete roof under high-temperature conditions.</p>
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<p>Temperature changes of heat pipes at different times for green roofs and concrete roofs under high-temperature conditions.</p>
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<p>The particle temperature changes with time at different locations under high-temperature conditions: (<b>a</b>) concrete roof, (<b>b</b>) green roof.</p>
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<p>Particle temperature curves of concrete and green roof at different positions at time t = 5 h under high-temperature conditions.</p>
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<p>The change curve of porosity and coordination number of concrete roof and green roof with time under high-temperature conditions.</p>
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<p>Cloud chart of particle temperature distribution with an initial temperature of 20 °C under high-temperature conditions: (<b>a</b>) concrete roof, (<b>b</b>) green roof.</p>
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<p>The variation of particle temperatures with different initial temperatures under high-temperature conditions over time: (<b>a</b>) concrete roof, (<b>b</b>) green roof.</p>
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<p>Discrete element model of low-temperature heat transfer between green roof and concrete roof.</p>
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<p>Cloud map of temperature changes at different times between green roof and concrete roof under low-temperature conditions.</p>
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<p>Temperature changes of heat pipes at different times for green roofs and concrete roofs under low-temperature conditions.</p>
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<p>The particle temperature changes with time at different locations under high-temperature conditions: (<b>a</b>) concrete roof, (<b>b</b>) green roof.</p>
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<p>Particle temperature curves of concrete and green roof at different positions at time t = 5 under low-temperature conditions.</p>
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<p>The change curve of porosity and coordination number of concrete roof and green roof with time under low-temperature conditions.</p>
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<p>Comparison of particle displacement cloud map of different green roof thermal resistance at t = 5 h.</p>
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<p>Variation curve of particle temperature at <span class="html-italic">Z</span> = 0.3 m of green roof with time under different thermal resistivity.</p>
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<p>Particle temperature curve of green roof at <span class="html-italic">Z</span> = 0.3 m under different thermal resistivity.</p>
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19 pages, 2143 KiB  
Article
Release of Biopolymers from Saccharomyces cerevisiae Biomass Through Thermal and Non-Thermal Technologies
by Marianna Ciccone, Muhammad Rehan Khan, Junior Bernardo Molina Hernandez, Joel Armando Njieukam, Lorenzo Siroli, Davide Gottardi, Rosalba Lanciotti, Pietro Rocculi and Francesca Patrignani
Microorganisms 2024, 12(12), 2596; https://doi.org/10.3390/microorganisms12122596 (registering DOI) - 15 Dec 2024
Abstract
Components of yeast cell walls, such as β-glucans and mannoproteins, show promise for developing sustainable biopolymers for food packaging. Efficient extraction, however, is challenging due to the complexity of the yeast cell wall. This study explored high-pressure homogenisation (HPH) and pulsed electric fields [...] Read more.
Components of yeast cell walls, such as β-glucans and mannoproteins, show promise for developing sustainable biopolymers for food packaging. Efficient extraction, however, is challenging due to the complexity of the yeast cell wall. This study explored high-pressure homogenisation (HPH) and pulsed electric fields (PEFs), alone and with heat treatment (TT), on bakery yeast (BY) and brewery spent yeast (BSY) biomasses. In the treated samples we assessed carbohydrates, proteins, β-glucans, and mannoproteins and evaluated cell wall disruption microscopically. HPH caused complete cell disintegration, enhancing intracellular release, while PEF primarily permeabilised the membranes. Combined HPH and PEF treatments significantly increased cell wall stress, leading to partial disintegration. Notably, the β-glucans released reached 3.90 g/100 g dry matter in BY and 10.44 g/100 g dry matter in BSY, demonstrating significant extraction improvements. These findings highlight the potential of HPH and PEF for enhancing β-glucan recovery from yeast biomass, offering a promising route for sustainable biopolymer production for food packaging. Full article
(This article belongs to the Section Microbial Biotechnology)
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<p>Microstructure (observation magn. 100×) of cell dispersions of <span class="html-italic">Saccharomyces cerevisiae</span> obtained after various treatments. (<b>A</b>) Not treated sample of BY; (<b>B</b>) not treated sample of BSY; (<b>C</b>) HPH+TT sample of BY; (<b>D</b>) HPH+TT sample of BSY.</p>
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<p>Microstructure (observation magn. 100×) of cell dispersions of <span class="html-italic">Saccharomyces cerevisiae</span> obtained after various treatments. (<b>A</b>) PEF sample of BY; (<b>B</b>) PEF sample of BSY; (<b>C</b>) HPH+PEF sample of BY; (<b>D</b>) HPH+PEF sample of BSY.</p>
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<p>Concentration of carbohydrates (mg/mL) in the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Concentration of proteins (mg/mL) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>β-glucan content (g/100 g dry matter) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05). *: below the detection limit (1 g/100 g).</p>
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<p>Mannose content (g/100 g dry matter) of the supernatants of BY (<b>a</b>) and BSY (<b>b</b>). NT represents the control sample. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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25 pages, 10816 KiB  
Article
Maximizing the Total Profit of Combined Systems with a Pumped Storage Hydropower Plant and Renewable Energy Sources Using a Modified Slime Mould Algorithm
by Le Chi Kien, Ly Huu Pham, Minh Phuc Duong and Tan Minh Phan
Energies 2024, 17(24), 6323; https://doi.org/10.3390/en17246323 (registering DOI) - 15 Dec 2024
Abstract
This paper examines the effectiveness of a pumped storage hydropower plant (PSHP) when combined with other plants. System 1 examines the contribution of the PSHP to reducing fuel costs for thermal power plants. System 2 examines the optimization of operations for power systems [...] Read more.
This paper examines the effectiveness of a pumped storage hydropower plant (PSHP) when combined with other plants. System 1 examines the contribution of the PSHP to reducing fuel costs for thermal power plants. System 2 examines the optimization of operations for power systems with energy storage and uncertain renewable energies to maximize total profit based on four test system cases: Case 1: neglect the PSHP and consider wind and solar certainty; Case 2: consider the PSHP and wind and solar certainty; Case 3: neglect the PSHP and consider wind and solar uncertainty; and Case 4: consider the PSHP and wind and solar uncertainty. Cases 1 and 2 focus on systems that assume stable power outputs from these renewable energy sources, while Cases 3 and 4 consider the uncertainty surrounding their power output. The presence of a PSHP has a key role in maximizing the system’s total profit. This proves that Case 2, which incorporates a PSHP, achieves a higher total profit than Case 1, which does not include a PSHP. The difference is USD 17,248.60, representing approximately 0.35% for a single day of operation. The total profits for Cases 3 and 4 are USD 5,089,976 and USD 5,100,193.80, respectively. Case 4 surpasses Case 3 by USD 10,217.70, which is about 0.2% of Case 3’s total profit. In particular, the PSHP used in Cases 2 and 4 is a dispatching tool that aims to achieve the highest profit corresponding to the load condition. The PSHP executes its storage function by using low-price electricity at off-peak periods to store water in the reservoir through the pumping mode and discharge water downstream to produce electricity at periods with high electricity prices using the generating mode. As a result, the total profit increases. A modified slime mould algorithm (MSMA) is applied to System 2 after proving its outstanding performance compared to the jellyfish search algorithm (JS), equilibrium optimizer (EO), and slime mould algorithm (SMA) in System 1. Full article
(This article belongs to the Section A3: Wind, Wave and Tidal Energy)
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Figure 1
<p>The power System 1 illustration.</p>
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<p>The results achieved after 100 independent runs.</p>
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<p>The comparison between the four applied methods in different criteria on the first power system.</p>
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<p>Configuration of the second system.</p>
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<p>Location of Binh Thuan province, Vietnam to collect wind speeds.</p>
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<p>Maximum wind speed index and wind speed at each hour.</p>
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<p>Hourly wind speed and wind power.</p>
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<p>Wind power applied for Case 1 and Case 2, and Case 3 and Case 4.</p>
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<p>Maximum hour solar power.</p>
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<p>Results obtained for Cases 1 and 2: (<b>a</b>) hourly profit of each case and saving profit of Case 2, (<b>b</b>) total profit of Cases 1 and 2.</p>
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<p>Power and money of the PSHP in Case 2.</p>
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<p>Results obtained for Cases 3 and 4: (<b>a</b>) hourly profit of each case and saving profit of Case 4, (<b>b</b>) total profit of Cases 3 and 4.</p>
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<p>Power and money of the PSHP in Case 4.</p>
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<p>Generation, cost and revenue of wind and solar power plants for Cases 3 and 4.</p>
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<p>Fuel cost characteristics of four thermal power plants.</p>
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<p>Costs of the wind power plant.</p>
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<p>Costs of the solar power plant.</p>
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<p>Optimal generation of thermal power plants for Case 1.</p>
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<p>Optimal generation of thermal power plants for Case 2.</p>
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<p>Optimal generation of thermal power plants for Case 3.</p>
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<p>Optimal generation of thermal power plants for Case 4.</p>
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24 pages, 18263 KiB  
Article
UAV-Based 3D-Calibration of Thermal Cameras for Bat Flight Monitoring in Large Outdoor Environments
by Christof Happ, Alexander Sutor and Klaus Hochradel
Remote Sens. 2024, 16(24), 4682; https://doi.org/10.3390/rs16244682 (registering DOI) - 15 Dec 2024
Viewed by 1
Abstract
The calibration of 3D cameras is one of the key challenges to successfully measure the nightly 3D flight tracks of bats with thermal cameras. This is relevant around wind turbines to investigate the impact wind farms have on their species. Existing 3D-calibration methods [...] Read more.
The calibration of 3D cameras is one of the key challenges to successfully measure the nightly 3D flight tracks of bats with thermal cameras. This is relevant around wind turbines to investigate the impact wind farms have on their species. Existing 3D-calibration methods solve the problem of unknown camera position and orientation by using a reference object of known coordinates. While these methods work well for small monitoring volumes, the size of the reference objects (e.g., checkerboard patterns) limits the distance between the two cameras and therefore leads to increased calibration errors when used in large outdoor environments. To address this limitation, we propose a calibration method for tracking flying animals with thermal cameras based on UAV GPS tracks. The tracks can be scaled to the required monitoring volume and accommodate large distances between cameras, which is essential for low-resolution thermal camera setups. We tested our method at two wind farms, conducting 19 manual calibration flights with a consumer UAV, distributing GPS points from 30 to 260 m from the camera system. Using two thermal cameras with a resolution of 640 × 480 pixels and an inter-axial distance of 15 m, we achieved median 3D errors between 0.9 and 3.8 m across different flights. Our method offers the advantage of directly providing GPS coordinates and requires only two UAV flights for cross-validation of the 3D errors. Full article
(This article belongs to the Section Ecological Remote Sensing)
26 pages, 2432 KiB  
Article
In Search of Eudaimonia Towards Circular Economy in Buildings—From Large Overarching Theories to Detailed Engineering Calculations
by Ionut Cristian Scurtu, Katalin Puskas Khetani and Fanel Dorel Scheaua
Buildings 2024, 14(12), 3983; https://doi.org/10.3390/buildings14123983 (registering DOI) - 15 Dec 2024
Viewed by 2
Abstract
The current study seeks to explore the underexamined or potentially under-researched social dimensions of circular economy (CE) in the context of buildings. Utilising a meta-synthesis approach, this paper builds on the two primary theoretical frameworks in the well-being literature: the eudaimonic and hedonic [...] Read more.
The current study seeks to explore the underexamined or potentially under-researched social dimensions of circular economy (CE) in the context of buildings. Utilising a meta-synthesis approach, this paper builds on the two primary theoretical frameworks in the well-being literature: the eudaimonic and hedonic perspectives. The analysis of the selected articles reveals that these frameworks foster distinct modes of interaction and perception concerning one’s environment. A consensus is evident among the studies reviewed, advocating for integrating both eudaimonic and hedonic elements to achieve optimal well-being and happiness. Moreover, some scholars argue that for the attainment of sustainability goals and, by extension, CE objectives, the eudaimonic approach to well-being should be emphasised over the currently predominant hedonic inclinations. The research also attempts to open a discourse between the sometimes rather comprehensive, holistic, and hard-to-quantify dimensions of human well-being and the more logical, measurable,and tangible results-oriented approach towards the built environment.This investigation illustrates how well-designed building elements, aligned with CE principles, can play a pivotal role in fostering both environmental sustainability and human flourishing in the built environment. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
12 pages, 1527 KiB  
Systematic Review
Use of Infrared Thermography in Podiatry: Systematic Review and Meta-Analysis
by Raquel García-de-la-Peña, José María Juárez-Jiménez, José Manuel Cuevas Sánchez, Rafael Rayo Rosado and Ana María Rayo Pérez
J. Clin. Med. 2024, 13(24), 7638; https://doi.org/10.3390/jcm13247638 (registering DOI) - 15 Dec 2024
Viewed by 103
Abstract
Background/Objectives: Infrared thermography is an advanced technique that detects infrared light emitted by the body to map thermal changes related to blood flow. It is recognized for being noninvasive, fast, and reliable and is employed in the diagnosis and prevention of various medical [...] Read more.
Background/Objectives: Infrared thermography is an advanced technique that detects infrared light emitted by the body to map thermal changes related to blood flow. It is recognized for being noninvasive, fast, and reliable and is employed in the diagnosis and prevention of various medical conditions. In podiatry, it is utilized for managing diabetic foot ulcers, musculoskeletal injuries such as Achilles tendinopathy, and onychomycosis, among others. The primary objective is to analyze the application of thermography in podiatry as a diagnostic evaluation tool. Secondary objectives include evaluating the use of thermography in diagnosing musculoskeletal injuries, determining its role in preventing diabetic foot ulcers and onychomycosis, assessing its utility in sports performance evaluation with plantar orthoses, and reviewing its cost-effectiveness in detecting common foot conditions and deformities. Methods: A systematic review and meta-analysis of the existing literature on the use of thermography in podiatry were conducted. Studies addressing various applications of thermography were included, focusing on its effectiveness, sensitivity, and specificity. Both studies comparing plantar temperature before and after interventions with orthoses and those exploring thermography in diagnosing specific pathologies were analyzed. Results: Ten randomized clinical trials on the use of infrared thermography in podiatric conditions were included, with participant ages ranging from 18 to 80 years (n = 10–223). Treatments for Achilles tendinopathy, diabetic foot ulcers, and peripheral arterial disease were explored. Infrared thermography was utilized to measure thermal changes, evaluate plantar orthoses, and diagnose onychomycosis. The findings underscore the potential of infrared thermography in preventing and diagnosing various podiatric pathologies. Conclusions: Infrared thermography is a noninvasive technique in podiatry that provides real-time imaging without radiation. It is useful for detecting musculoskeletal injuries, diabetic skin ulcers, and onychomycosis and contributes to enhancing sports performance. In conclusion, it is a valuable tool in podiatric practice to optimize therapeutic approaches. Full article
(This article belongs to the Section General Surgery)
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Figure 1
<p>PRISMA Flow Diagram.</p>
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<p>Risk item for each included trial. Risk of bias item presented as percentages across all included trials. Note: Uncertain risk of bias is represented in white color.</p>
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<p>Forest plot for subgroup analysis.</p>
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<p>Funnel Plot to assess publication bias.</p>
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<p>Forest Plot with the changes in plantar temperature after the use of plantar orthoses [<a href="#B9-jcm-13-07638" class="html-bibr">9</a>,<a href="#B10-jcm-13-07638" class="html-bibr">10</a>,<a href="#B18-jcm-13-07638" class="html-bibr">18</a>,<a href="#B19-jcm-13-07638" class="html-bibr">19</a>,<a href="#B20-jcm-13-07638" class="html-bibr">20</a>,<a href="#B21-jcm-13-07638" class="html-bibr">21</a>,<a href="#B22-jcm-13-07638" class="html-bibr">22</a>,<a href="#B23-jcm-13-07638" class="html-bibr">23</a>].</p>
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21 pages, 12910 KiB  
Article
Crystallization Kinetics of an Equimolar Liquid Crystalline Mixture and Its Components
by Aleksandra Deptuch, Anna Paliga, Anna Drzewicz, Marcin Piwowarczyk, Magdalena Urbańska and Ewa Juszyńska-Gałązka
Appl. Sci. 2024, 14(24), 11701; https://doi.org/10.3390/app142411701 (registering DOI) - 15 Dec 2024
Viewed by 160
Abstract
This new equimolar mixture comprises the liquid crystalline compounds MHPOBC and partially fluorinated 3F2HPhF6. The phase sequence of the mixture was determined by differential scanning calorimetry, polarizing optical microscopy, X-ray diffraction, and broadband dielectric spectroscopy. The enantiotropic smectic A*, C*, and CA [...] Read more.
This new equimolar mixture comprises the liquid crystalline compounds MHPOBC and partially fluorinated 3F2HPhF6. The phase sequence of the mixture was determined by differential scanning calorimetry, polarizing optical microscopy, X-ray diffraction, and broadband dielectric spectroscopy. The enantiotropic smectic A*, C*, and CA* phases were observed for the mixture. Only partial crystallization of the mixture was observed during cooling at 2–40 K/min, and the remaining smectic CA* phase underwent vitrification. In contrast, the crystallization of the pure components was complete or almost complete for the same range of cooling rates. The kinetics of the non-isothermal and isothermal crystallization of the mixture and its pure components were investigated by differential scanning calorimetry. The non-isothermal data were analyzed by the isoconversional method, while the isothermal data were analyzed using the Avrami model. As is typical, the nucleation-controlled crystallization kinetics were observed. Full article
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Figure 1
<p>Molecular structures of compounds used in this study.</p>
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<p>DSC thermograms of MHPOBC collected upon cooling at 2–40 K/min rates (<b>a</b>), onset transition temperatures as a function of the cooling rate (<b>b</b>), DSC thermograms collected upon heating (<b>c</b>), and onset transition temperatures as a function of the heating rate (<b>d</b>). The inset in (<b>c</b>) shows the DSC thermogram collected during heating at 3 K/min around the SmC<sub>A</sub>*/SmC*/SmA* transition.</p>
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<p>DSC thermograms of 3F2HPhF6 collected upon cooling at 2–40 K/min (<b>a</b>), onset transition temperatures as a function of the cooling rate (<b>b</b>), DSC thermograms collected on heating (<b>c</b>), and onset transition temperatures as a function of the heating rate (<b>d</b>).</p>
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<p>DSC thermograms of MIX2HF6 collected upon cooling at 2–40 K/min (<b>a</b>), onset transition temperatures as a function of the cooling rate (<b>b</b>), DSC thermograms collected upon heating (<b>c</b>), and onset transition temperatures as a function of the heating rate (<b>d</b>).</p>
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<p>XRD patterns of the MIX2HF6 mixture (<b>a</b>), the smectic layer spacing <math display="inline"><semantics> <mi>d</mi> </semantics></math> in MIX2HF6 and its components (<b>b</b>), and the average intermolecular distance <math display="inline"><semantics> <mi>w</mi> </semantics></math> and correlation length <math display="inline"><semantics> <mi>ξ</mi> </semantics></math> of the short-range order in MIX2HF6 (<b>c</b>).</p>
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<p>Absorption parts of selected BDS spectra of MIX2HF6 collected on slow cooling (points), and fitting results of Equation (3) (lines) in the SmA*, SmC* (<b>a</b>), SmC<sub>A</sub>* (<b>b</b>), and Cr (<b>c</b>) phases. The conductivity part is omitted.</p>
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<p>BDS results for MHPOBC obtained upon slow cooling: dielectric increment (<b>a</b>), activation plot of relaxation times (<b>b</b>), and activation plot for ionic conductivity (<b>c</b>). The activation energies in (<b>b</b>,<b>c</b>) are in kJ/mol.</p>
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<p>BDS results for 3F2HPhF6 obtained upon slow cooling: dielectric increment (<b>a</b>), activation plot of relaxation times (<b>b</b>), and activation plot for ionic conductivity (<b>c</b>). The activation energies in (<b>b</b>,<b>c</b>) are in kJ/mol.</p>
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<p>BDS results for MIX2HF6 obtained upon slow cooling (<b>a</b>–<b>c</b>), heating after slow cooling (<b>d</b>–<b>f</b>), and heating after fast cooling at 10 K/min (<b>g</b>–<b>i</b>): dielectric increment (<b>a</b>,<b>d</b>,<b>g</b>), activation plot of relaxation times (<b>b</b>,<b>e</b>,<b>h</b>), and activation plot for ionic conductivity (<b>c</b>,<b>f</b>,<b>i</b>). The activation energies in (<b>b</b>,<b>c</b>,<b>e</b>,<b>f</b>,<b>h</b>,<b>i</b>) are in kJ/mol.</p>
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<p>MTDSC thermograms collected for MIX2HF6 during heating at a 3 K/min rate after quenching to 153 K.</p>
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<p>Crystallization degree vs. temperature of MHPOBC (<b>a</b>), activation plot based on isoconversional method (<b>b</b>), effective activation energy vs. crystallization degree (<b>c</b>), and temperature (<b>d</b>).</p>
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<p>Crystallization degree vs. temperature of 3F2HPhF6 (<b>a</b>), activation plot based on isoconversional method (<b>b</b>), effective activation energy vs. crystallization degree (<b>c</b>), and temperature (<b>d</b>).</p>
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<p>Crystallization degree vs. temperature of MIX2HF6 (<b>a</b>), activation plot based on isoconversional method (<b>b</b>), effective activation energy vs. crystallization degree (<b>c</b>), and temperature (<b>d</b>).</p>
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<p>DSC curves collected at selected crystallization temperatures <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mrow> <mi>c</mi> <mi>r</mi> </mrow> </msub> </mrow> </semantics></math> (<b>a</b>–<b>c</b>), isothermal crystallization degree vs. time (<b>d</b>–<b>f</b>), and DSC thermograms collected during heating at 10 K/min after crystallization (<b>g</b>–<b>i</b>). The corresponding <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mrow> <mi>c</mi> <mi>r</mi> </mrow> </msub> </mrow> </semantics></math> values are given in legends in K. The results for MHPOBC, 3F2HPhF6, and MIX2HF6 are shown in panels (<b>a</b>,<b>d</b>,<b>g</b>), (<b>b</b>,<b>e</b>,<b>h</b>), and (<b>c</b>,<b>f</b>,<b>i</b>), respectively.</p>
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<p>TTT diagram of the initialization time (<b>a</b>), activation plot of the characteristic crystallization time (<b>b</b>), and Avrami parameter as a function of crystallization temperature (<b>c</b>), determined by DSC for MIX2HF6 and its components. The legend in (<b>a</b>) applies to all panels. Open and solid symbols correspond to the first and second crystallization stages, respectively.</p>
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21 pages, 4026 KiB  
Article
Color Compounds Removal from Tequila Vinasses Using Silica Gel Adsorbents Functionalized with Thiol Moieties: Equilibrium and Kinetics Studies
by Carlos Gonzalez-Valerio, Alejandro A. Peregrina-Lucano, Ricardo Manríquez-González, Aida A. Pérez-Fonseca, Jorge R. Robledo-Ortíz, Ilya G. Shenderovich and Sergio Gómez-Salazar
Molecules 2024, 29(24), 5910; https://doi.org/10.3390/molecules29245910 (registering DOI) - 15 Dec 2024
Viewed by 220
Abstract
Tequila vinasses are organic wastes generated during ethanol fermentation at elevated temperatures (≥90 °C) and pH ≤ 4.0, making them hazardous to the environment. This paper describes a new, simplified UV–vis spectroscopy-based procedure for monitoring the adsorption of color compounds in tequila vinasses [...] Read more.
Tequila vinasses are organic wastes generated during ethanol fermentation at elevated temperatures (≥90 °C) and pH ≤ 4.0, making them hazardous to the environment. This paper describes a new, simplified UV–vis spectroscopy-based procedure for monitoring the adsorption of color compounds in tequila vinasses onto silica-based adsorbents, along with an optimized synthesis method to produce the most efficient sol–gel synthesized thiol-functionalized adsorbent. Under optimized conditions, the uptake capacity of this adsorbent reaches 0.8 g g−1 in 90 min. Experimental results demonstrate that the adsorbent has a specific affinity for melanoidin-type molecules. The adsorbent demonstrates excellent thermal stability (~316 °C). The results of this work indicate that the adsorbent possesses potential in the treatment of tequila vinasses from wastewater discharges. Full article
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<p>Results of adsorption kinetics of tequila vinasses compounds on the MaMPT002 adsorbent at three different initial conditions and fitting to three kinetic models. (<b>a</b>) C<sub>o</sub> = 0.0275 g mL<sup>−1</sup>, (<b>b</b>) C<sub>o</sub> = 0.0137 g mL<sup>−1</sup>, (<b>c</b>) C<sub>o</sub> = 0.0052 g mL<sup>−1</sup>, (<b>d</b>) IPD model; symbols are experimental data, continuous lines are IPD model predictions.</p>
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<p>Experimental adsorption isotherms of tequila vinasses on the MaMPT002 adsorbent and simulations using three common isotherm models at three different pH values. (<b>a</b>) pH = 3.0, (<b>b</b>) pH 03.55, (<b>c</b>) pH = 4.0. (<b>d</b>) Effect of temperature on tequila vinasses uptake on the MaMPT002 adsorbent at three different temperatures.</p>
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<p>K<sub>c</sub> as a function of the inverse of temperature and the non-linear fitting to Equation (4).</p>
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<p>Selectivity results of tequila vinasses adsorption on the MaMPTS002 adsorbent. (<b>a</b>) HPLC chromatograms before and after adsorption; (<b>b</b>) mass spectrum before adsorption; (<b>c</b>) mass spectrum after adsorption.</p>
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<p>Fragmentation proposal of product ion with 412.31 <span class="html-italic">m</span>/<span class="html-italic">z</span> (based on the closest structure reported of 412.51 <span class="html-italic">m</span>/<span class="html-italic">z</span>) obtained from the Optimizer software of the adsorption of tequila vinasses on the MaMPT002 adsorbent.</p>
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<p>Nitrogen adsorption isotherms and pore size distributions of synthesized adsorbents. (<b>a</b>) Isotherms of samples MaMPT001 through MaMPT004; (<b>b</b>) isotherms of samples MaMPT000, MaMPT005, and MaMPT006; (<b>c</b>) pore size distributions of samples MaMPT001 through MaMPT004; (<b>d</b>) pore size distributions of samples MaMPT000, MaMPT005, and MaMPT00, (<b>e</b>) TEOS:MPTS molar ratio effect on specific surface area.</p>
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<p>(<b>a</b>) TGA results on sample MaMPT002 before tequila vinasses adsorption. (<b>b</b>) TGA results on sample MaMPT002 after tequila vinasses adsorption. (<b>c</b>) FTIR spectrum of the MaMPT002 adsorbent.</p>
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<p>SEM results of (<b>a</b>) tequila vinasses-free MaMPT002 adsorbent, and (<b>b</b>) MaMPT002 adsorbent after tequila vinasses adsorption.</p>
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<p>(<b>a</b>) <sup>13</sup>C CP-MAS NMR spectrum of MaMPT002. (<b>b</b>) <sup>29</sup>Si MAS NMR spectrum of MaMPT002.</p>
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<p>Proposed adsorption mechanism scenarios of color compounds (e.g., melanoidins) from tequila vinasses on the MaMPT002 adsorbent: (a) undefined thioether bond position in pirazinium, and (b) by the thioether bond in 2 ring position [<a href="#B15-molecules-29-05910" class="html-bibr">15</a>].</p>
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14 pages, 12791 KiB  
Article
Experimental Investigation of the Mechanical and Electrical Failure of the Electrode Tab of Lithium-Ion Pouch Cells Under Quasi-Static Mechanical Load
by Patrick Höschele, Simon Franz Heindl and Christian Ellersdorfer
Batteries 2024, 10(12), 444; https://doi.org/10.3390/batteries10120444 (registering DOI) - 15 Dec 2024
Viewed by 154
Abstract
The electrode tabs of pouch cells are rigidly joined to the bus bar in a battery module to achieve an electric connection. The effect of abusive mechanical loads arising from crash-related deformation or the possible movement of battery cells caused by operation-dependent thickness [...] Read more.
The electrode tabs of pouch cells are rigidly joined to the bus bar in a battery module to achieve an electric connection. The effect of abusive mechanical loads arising from crash-related deformation or the possible movement of battery cells caused by operation-dependent thickness variations has so far never been investigated. Three quasi-static abuse tests for the anode and cathode electrode tabs were conducted with pouch cells at 100% SOC. Tensile tests on the anode, cathode and pouch foil were performed in order to explain differences between the anode and cathode in the abuse tests. The experiments revealed different failure mechanisms for the anode and cathode electrode tabs. The cathode failed at an average maximum load of 940.3 N through an external rupture of the electrode tab. The anode failed at an average maximum load of 868.9 N through a rupture of the single electrode sheets and the opening of the pouch foil. No thermal runaway occurred for either cathode or anode. The results of this study reveal a more critical failure behavior for the anode electrode tab, which can be addressed in the future by adding a predetermined breaking point and adapting the geometry of the anode electrode tab. Full article
(This article belongs to the Special Issue Battery Safety: Recent Advances and Perspective)
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<p>Principle sketch of kinematic of pouch cell (1), stack with busbar (2), electrode tabs (3) and detailed view with current conductor flags (4). (<b>a</b>) Stack level. (<b>b</b>) Detailed section indicated by red boxes.</p>
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<p>Dissection and principle sketch (non-proportional) of the tested specimen with detailed view of the electrode tab area with electrode tab (1) and electrode carrier foil (2). (<b>a</b>) Negative electrode tab (anode). (<b>b</b>) Positive electrode tab (cathode).</p>
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<p>(<b>a</b>) Geometry of tensile specimen. (<b>b</b>) Machine direction (MD) and transverse direction (TD) for anode and cathode specimens. (<b>c</b>) Specimen from pouch foil with cutting lines indicated by dotted lines.</p>
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<p>Test setup for the performed quasi-static mechanical tests. (1) Bottom plate. (2) Top plate. (3) Vertical connector. (4) Tab-clamping plate. (5) Thermocouple. (<b>a</b>) Cross-section and (<b>b</b>) 3D view.</p>
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<p>Statistical evaluation for force and displacement at fracture for MD (grey) and TD (green) directions of the tensile specimen. (<b>a</b>) Anode. (<b>b</b>) Cathode.</p>
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<p>Statistical evaluation of the tensile tests with the pouch foil. (<b>a</b>) Maximum force. (<b>b</b>) Displacement at maximum force.</p>
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<p>Force–displacement and voltage–displacement curves for the quasi-static mechanical tests with relevant force peaks <math display="inline"><semantics> <mrow> <msubsup> <mi>F</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mn>1</mn> </msubsup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msubsup> <mi>F</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </semantics></math> indicated by dotted circles. (<b>a</b>) Negative electrode tab (anode) with deformation pattern at displacement of (<b>1</b>) 5 mm, (<b>2</b>) 9 mm, (<b>3</b>) 21 mm, (<b>4</b>) 24 mm and (<b>5</b>) 35 mm for additional test at 0% SOC (Anode 4). (<b>b</b>) Positive electrode tab (cathode).</p>
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<p>Postmortem photos after the quasi-static mechanical test. (<b>a</b>) Negative electrode tab (anode). (<b>b</b>) Positive electrode tab (cathode).</p>
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<p>Force–displacement curves of the component tensile tests with MD and TD orientation. (<b>a</b>) Anode. (<b>b</b>) Cathode.</p>
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<p>Force–displacement curves of the component tensile tests with the pouch foil.</p>
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15 pages, 4481 KiB  
Article
Characterization of Grape Extract-Colored SiO2 Synthesized via the Sol–Gel Method
by Marika Fiorentino, Antonio D’Angelo, Luigi Vertuccio, Humaira Khan and Michelina Catauro
Appl. Sci. 2024, 14(24), 11697; https://doi.org/10.3390/app142411697 (registering DOI) - 15 Dec 2024
Viewed by 234
Abstract
Numerous studies have focused on the development of active packaging using plastics, but glass-based active packaging represents a more sustainable alternative, offering advantages in terms of recyclability, durability, and reduced environmental footprint. This study proposes a glass-based active packaging system by incorporating anthocyanins-rich [...] Read more.
Numerous studies have focused on the development of active packaging using plastics, but glass-based active packaging represents a more sustainable alternative, offering advantages in terms of recyclability, durability, and reduced environmental footprint. This study proposes a glass-based active packaging system by incorporating anthocyanins-rich grape extract (GRE) into a silica (SiO2) matrix using the sol–gel method. GRE was added at two concentrations, 5% (S5GRE) and 15% (S15GRE). During synthesis, color brightening occurred as anthocyanins shifted to colorless chalcone and pseudo-base forms, but colorimetric analysis confirmed that the hybrid materials retained a red hue after gel drying. Fourier-transform infrared (FTIR) and thermogravimetric analysis (TGA/DTG) investigated the stability of the GRE within the silica matrix and showed that both hybrids formed hydrogen bonds with the inorganic matrix. However, S5GRE exhibited better thermal stability compared to that of S15GRE, possibly due to a greater proportion of the extract being fully entrapped rather than surface-bound. The encapsulation efficiency analysis supported this, showing that 98.12% of the GRE was successfully entrapped in S5GRE, whereas S15GRE retained only 54.62%. These results indicate that, while S5GRE exhibits higher encapsulation efficiency and allows for faster release, S15GRE releases less efficiently due to extract aggregation within the matrix. Full article
(This article belongs to the Section Chemical and Molecular Sciences)
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<p>Flowchart describing the synthesis of S, S5GRE, and S15GRE by the sol–gel route.</p>
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<p>Color changing of GRE extract during sol–gel synthesis.</p>
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<p>FTIR spectra of grape extract (GRE), SiO<sub>2</sub> + 5% GRE (S5GRE), SiO<sub>2</sub> + 15% (S15GRE), and SiO<sub>2</sub> (S).</p>
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<p>FTIR deconvolution of 1500–800 cm<sup>−1</sup> band through Gaussian model.</p>
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<p>Area peak intensity of deconvoluted peaks of Si–O band in S, S5GRE, and S15GRE. The black arrows indicate the increase or decrease in the areas of the hybrid materials S5GRE and S15GRE compared tom those of S.</p>
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<p>UV–Visible spectrum of grape extract in ethanol.</p>
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<p>Loading rate efficiency of S5GRE and S15GRE.</p>
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<p>(<b>A</b>) Thermogravimetric analysis (TGA) and derivative thermogravimetry (DTG) analysis of grape extract (GRE); TGA (<b>B</b>) and DTG (<b>C</b>) analysis of silica (S) and the hybrid materials S5GRE and S15GRE.</p>
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<p>In vitro release of S5GRE and S15GRE hybrid materials. The release was calculated as the percentage value of the GRE amount released with respect to the total amount of GRE in the hybrid systems.</p>
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16 pages, 2676 KiB  
Article
Thermal Behavior of Tropical Sea Cucumber of Isostichopus isabellae: Preliminary Issues
by Adriana Rodríguez-Forero, Jose Villacob-Royerth and Mónica Hernández Rodríguez
Animals 2024, 14(24), 3613; https://doi.org/10.3390/ani14243613 (registering DOI) - 15 Dec 2024
Viewed by 257
Abstract
We investigated the growth, preferences, and thermal resistance of the sea cucumber Isostichopus isabellae to understand its thermal biology. Sixty individuals were kept in tanks at two temperatures (23 °C and 26 °C) for 30 days to determine their favorable maintenance temperature. Their [...] Read more.
We investigated the growth, preferences, and thermal resistance of the sea cucumber Isostichopus isabellae to understand its thermal biology. Sixty individuals were kept in tanks at two temperatures (23 °C and 26 °C) for 30 days to determine their favorable maintenance temperature. Their survival rates and specific growth rates were measured to establish their ideal conditioning temperature in the laboratory. The sea cucumbers’ thermal preference was evaluated over a gradient from 20 °C to 29 °C, and their behavior was monitored for 4 h. They preferred the temperature to which they were acclimated, aligning with the favorable temperature identified in this study. We did not find differences in the average weight loss between the two experimental temperatures. The highest survival rate (86%) was observed at 23 °C, which can be considered to be the most favorable maintenance temperature. The critical thermal maximum (CTMax) and minimum (CTMin) were determined by gradually heating or cooling the water until the sea cucumbers showed a loss of podia movement and body relaxation. CTMax was established at 36.5 ± 0.3 °C and CTMin at 8 ± 0.5 °C. Based on these results, Isostichopus isabellae could negatively respond to increased temperatures, so we recommend maintaining a favorable temperature of 23 ± 2.3 °C in captivity for its use in aquaculture. Full article
(This article belongs to the Section Aquatic Animals)
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<p>Diagram of the thermal channel for the study of the preferred temperature of sea cucumber <span class="html-italic">Isostichopus isabellae</span>. (1) Three-meter PVC pipe (6” Ø), (2) frozen hydrogel bags, (3) heaters (100 W), (4) digital thermometers + thermocouple, and (5) aeration line (located along the pipe).</p>
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<p>Average weight (±standard deviation) of sea cucumber <span class="html-italic">Isostichopus isabellae</span> acclimated to 23° and 26 °C for 30 days.</p>
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<p>Weight loss (g) rate of sea cucumber <span class="html-italic">Isostichopus isabellae</span> acclimated to 23° (<b>A</b>) and 26 °C (<b>B</b>) for 30 days. (*) indicates statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mean values ± standard deviation of the preferred temperature of sea cucumbers <span class="html-italic">Isostichopus isabellae</span> acclimated at 23° and 26 °C (Student’s <span class="html-italic">t</span>-test; <span class="html-italic">p</span> &lt; 0.001). n = 12 by temperature.</p>
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<p>Behavior of the sea cucumber <span class="html-italic">Isostichopus isabellae</span> acclimated at 26 °C and exposed to an increase in the temperature. (<b>A</b>) Time 0; (<b>B</b>) Normal behavior; (<b>C</b>) Adults located on the walls of the aquarium; (<b>D</b>) Sea cucs increase in movement of podia; (<b>E</b>) Adults were exposed to seven hours of monitoring. n = 12 individuals.</p>
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<p>Sequence of behaviors of the sea cucumber <span class="html-italic">Isostichopus isabellae</span> acclimated to 26 °C and exposed to an increase in the water temperature. Adults were exposed to seven hours of monitoring. n = 12 animals. SA: start of activity, IMP + PE: increase in movement of podia and papillae extended, DMP + SCR: decrease in the movement of podia and start of corporal relaxation, RBC: relaxation and body contraction, BRF + TE: body relaxation end and tentacles extended. Letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Behavior of the sea cucumber <span class="html-italic">Isostichopus isabellae</span> acclimated to 23 °C and exposed to a decrease in the temperature. (<b>A</b>) Normal behavior (time 0); (<b>B</b>) Sea cucs began to move toward the walls or the corner of the aquarium; (<b>C</b>) Adults overlapped with each other; (<b>D</b>) Total decrease in movement and body position in U; (<b>E</b>) Sea cucs do not move. Adults were monitored for eight hours. n = 12 animals.</p>
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<p>Sequences of behaviors of the sea cucumber <span class="html-italic">Isostichopus isabellae</span> acclimated to 23 °C and exposed to a decrease in the water temperature. Adults were monitored for eight hours. n = 12 individuals. SA: start of activity, TE + CBP: tentacles extended and body cobra position, TDM + BPU: a total decrease in the movement and U-shaped body position, DMP + TE + CBM: decrease in the podia movement, tentacles relaxed, and cessation of body movement. (*) indicates statistically significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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13 pages, 2267 KiB  
Article
Effect of Carbonate Mineral Fillers on the Dielectric Properties and Fire Resistance of Polar and Non-Polar Halogen-Free Flame-Retardant Polymer Compounds
by Konstantinos G. Gatos, Nikolaos Apostolopoulos, Anastasios C. Patsidis and Georgios C. Psarras
J. Compos. Sci. 2024, 8(12), 529; https://doi.org/10.3390/jcs8120529 (registering DOI) - 14 Dec 2024
Viewed by 624
Abstract
In the present work, carbonate minerals are added in non-polar and polar polymer matrices to develop halogen-free flame-retardant composites. The examined fillers of calcium carbonate and magnesium carbonate delivered improved rheological performance in both non-polar (PE) and polar (EVA/PE) polymer compounds compared to [...] Read more.
In the present work, carbonate minerals are added in non-polar and polar polymer matrices to develop halogen-free flame-retardant composites. The examined fillers of calcium carbonate and magnesium carbonate delivered improved rheological performance in both non-polar (PE) and polar (EVA/PE) polymer compounds compared to the natural magnesium hydroxide and huntite/hydromagnesite mineral fillers. The presence of EVA in the matrix enhanced the mechanical behavior of all compounds in tensile testing. The thermal stability of the composites was particularly improved for the polar systems with the incorporation of the carbonate minerals, as this was evidenced under thermogravimetric analysis. The dielectric behavior of the fabricated systems was examined via broadband dielectric spectroscopy. The HFFR compounds attained higher values of the real part of dielectric permittivity from the unreinforced systems in the whole frequency and temperature range of the conducted tests. This behavior is ascribed to the higher permittivity values of the fillers with respect to the polymer matrices and the occurrence of interfacial polarization. All minerals improved the flame retardancy of the compounds in terms of LOI values, while the addition of EVA yielded further improvements, especially for the magnesium carbonate and the magnesium hydroxide minerals. Full article
(This article belongs to the Special Issue Feature Papers in Journal of Composites Science in 2024)
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<p>Scanning electron microscopy images of the minerals: (<b>a</b>) magnesium carbonate, (<b>b</b>) calcium carbonate, (<b>c</b>) magnesium hydroxide, and (<b>d</b>) huntite/hydromagnesite.</p>
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<p>(<b>a</b>) Thermogravimetric analysis of the PE recipe matrix in comparison to the filled compounds. (<b>b</b>) Derivative of the thermogravimetric curve of the PE recipe matrix in comparison to the filled compounds.</p>
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<p>(<b>a</b>) Thermogravimetric analysis of the EVA/PE recipe matrix in comparison to the filled compounds. (<b>b</b>) Derivative of the thermogravimetric curve of the EVA/PE recipe matrix in comparison to the filled compounds.</p>
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<p>Variation of the real part of dielectric permittivity with frequency, at 30 °C, for the (<b>a</b>) PE recipe and (<b>b</b>) EVA/PE recipe-based systems.</p>
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<p>Variation of the real part of dielectric permittivity with temperature, at 100 Hz, for the (<b>a</b>) PE recipe and (<b>b</b>) EVA/PE recipe-based systems.</p>
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21 pages, 2922 KiB  
Review
Recent Trends in Advanced Glycation End Products in Foods: Formation, Toxicity, and Innovative Strategies for Extraction, Detection, and Inhibition
by Shubham Singh Patel, Aarti Bains, Minaxi Sharma, Ankur Kumar, Baskaran Stephen Inbaraj, Prince Chawla and Kandi Sridhar
Foods 2024, 13(24), 4045; https://doi.org/10.3390/foods13244045 (registering DOI) - 14 Dec 2024
Viewed by 544
Abstract
Advanced glycation end products (AGEs) are produced in foods during their thermal treatment through routes like the Maillard reaction. They have been linked to various health issues such as diabetes, neurodegenerative disorders, and cardiovascular diseases. There are multiple pathways through which AGEs can [...] Read more.
Advanced glycation end products (AGEs) are produced in foods during their thermal treatment through routes like the Maillard reaction. They have been linked to various health issues such as diabetes, neurodegenerative disorders, and cardiovascular diseases. There are multiple pathways through which AGEs can form in foods and the body. Therefore, this review work aims to explore multiple formation pathways of AGEs to gain insights into their generation mechanisms. Furthermore, this review work has analyzed the recent trends in the detection and inhibition of AGEs in food matrices. It can be highlighted, based on the surveyed literature, that UHPLC-Orbitrap-Q-Exactive-MS and UPLC-ESI-MS/MS can produce highly sensitive results with a low limit of detection levels for AGEs in food matrices. Moreover, various works on inhibitory agents like spices, herbs, fruits, vegetables, hydrocolloids, plasma-activated water, and probiotic bacteria were assessed for their capacity to suppress the formation of AGEs in food products and simulation models. Overall, it is essential to decrease the occurrence of AGEs in food products, and future scope might include studying the interaction of macromolecular components in food products to minimize the production of AGEs without sacrificing the organoleptic qualities of processed foods. Full article
(This article belongs to the Special Issue Food Contaminants: Detection, Toxicity and Safety Risk Assessment)
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<p>Chemical structures of some advanced glycation end products.</p>
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<p>An outline of the formation of advanced glycation end products (AGEs) during thermal cooking processes.</p>
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<p>Various pathways for the formation of AGEs. MGO, methylglyoxal; GO, glyoxal; MTCA, (1R,3S)-1-methyl-1,2,3,4-tetrahydro-ß-carboline-3-carboxylic acid; THCA, tetrahydrocannabinolic acid; F-3-P, fructose-3-phosphate.</p>
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<p>Multiple health effects and conditions induced on exposure to AGEs.</p>
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<p>The action of various inhibitory agents in limiting the formation of AGEs.</p>
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23 pages, 7544 KiB  
Article
Lignin Polyurethane Aerogels: Influence of Solvent on Textural Properties
by Razan Altarabeen, Dmitri Rusakov, Erik Manke, Lara Gibowsky, Baldur Schroeter, Falk Liebner and Irina Smirnova
Gels 2024, 10(12), 827; https://doi.org/10.3390/gels10120827 (registering DOI) - 14 Dec 2024
Viewed by 391
Abstract
This study explores the innovative potential of native lignin as a sustainable biopolyol for synthesizing polyurethane aerogels with variable microstructures, significant specific surface areas, and high mechanical stability. Three types of lignin—Organosolv, Aquasolv, and Soda lignin—were evaluated based on structural characteristics, Klason lignin [...] Read more.
This study explores the innovative potential of native lignin as a sustainable biopolyol for synthesizing polyurethane aerogels with variable microstructures, significant specific surface areas, and high mechanical stability. Three types of lignin—Organosolv, Aquasolv, and Soda lignin—were evaluated based on structural characteristics, Klason lignin content, and particle size, with Organosolv lignin being identified as the optimal candidate. The microstructure of lignin polyurethane samples was adjustable by solvent choice: Gelation in DMSO and pyridine, with high affinity to lignin, resulted in dense materials with low specific surface areas, while the use of the low-affinity solvent e.g acetone led to aggregated, macroporous materials due to microphase separation. Microstructural control was achieved by use of DMSO/acetone and pyridine/acetone solvent mixtures, which balanced gelation and phase separation to produce fine, homogeneous, mesoporous materials. Specifically, a 75% DMSO/acetone mixture yielded mechanically stable lignin polyurethane aerogels with a low envelope density of 0.49 g cm−3 and a specific surface area of ~300 m2 g−1. This study demonstrates a versatile approach to tailoring lignin polyurethane aerogels with adjustable textural and mechanical properties by simple adjustment of the solvent composition, highlighting the critical role of solvent–lignin interactions during gelation and offering a pathway to sustainable, high-performance materials. Full article
(This article belongs to the Special Issue Aerogels—Preparation and Properties)
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<p>Particle size distributions of different lignins: cumulative (<b>A</b>) and differential (<b>B</b>).</p>
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<p>(<b>A</b>) Solubility of Aquasolv, Soda, and Organosolv lignin in different solvents at a solute concentration of 3 wt.%, (<b>B</b>) Organosolv lignin solubility as a function of Hildebrand Parameter, The grey-shaded area highlights the optimal Hildebrand solubility parameter range (δ) for lignin solubilization.</p>
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<p>Schematic representation of the synthesis process and gelation of lignin polyurethane aerogels.</p>
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<p>Organosolv lignin polyurethane samples produced in acetone (<b>A</b>), DMSO (<b>B</b>) and pyridine (<b>C</b>).</p>
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<p>FTIR spectra of Organosolv lignin polyurethane samples fabricated in different solvents and their educts: Organosolv lignin and MDI.</p>
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<p>Organosolv lignin polyurethane aerogel produced in solvent mixtures: DMSO/acetone (DA) in the upper row: DA25 (<b>A</b>), DA50 (<b>B</b>), and DA75 (<b>C</b>). Pyridine/acetone in the lower row: PA25 (<b>D</b>), PA50 (<b>E</b>) and PA75 (<b>F</b>).</p>
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<p>Various properties of DMSO/acetone- and pyridine/acetone-based polyurethane samples in dependence of solvent mixtures: (<b>A</b>) gelation time, (<b>B</b>) envelope density and volumetric shrinkage, (<b>C</b>) Specific surface area and total porosity for DMSO/acetone, and (<b>D</b>) for pyridine/acetone mixtures. Lines are drawn to guide the eye whereas the grey shaded areas indicate the optimal solvent composition ranges for maximizing specific surface area (<span class="html-italic">S</span><sub>v</sub>) within the overall porosity of the samples.</p>
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<p>(<b>A</b>) FTIR spectra and (<b>B</b>) Derivative Thermogravimetric Analysis (DTG) of the Organosolv lignin polyurethane aerogels produced using solvent mixtures of DMSO/Acetone (DA).</p>
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<p>Mechanical property evaluation of samples showing stress-strain curve and Young’s modulus (E) for both DMSO/Acetone samples (<b>A</b>,<b>B</b>) and pyridine/acetone samples (<b>C</b>,<b>D</b>). The “breakage point” of the samples was identified from the strain–stress curves at the onset of the first observable failure. Samples were measured in triplicates (<span class="html-italic">n</span> = 3).</p>
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16 pages, 3077 KiB  
Article
Comparison Between Numerical and Experimental Methodologies for Total Enthalpy Determination in Scirocco PWT
by Antonio Smoraldi and Luigi Cutrone
Aerospace 2024, 11(12), 1023; https://doi.org/10.3390/aerospace11121023 (registering DOI) - 14 Dec 2024
Viewed by 346
Abstract
Arc-jet facility tests are critical for replicating the extreme thermal conditions encountered during high-speed planetary entry, where the precise determination of flow enthalpy is essential. Despite its importance, a systematic comparison of methods for determining enthalpy in the Scirocco Plasma Wind Tunnel had [...] Read more.
Arc-jet facility tests are critical for replicating the extreme thermal conditions encountered during high-speed planetary entry, where the precise determination of flow enthalpy is essential. Despite its importance, a systematic comparison of methods for determining enthalpy in the Scirocco Plasma Wind Tunnel had not yet been conducted. This study evaluates three experimental techniques—the sonic throat method, the heat balance method, and the heat transfer method—under various operating conditions in the Scirocco facility, employing a nozzle C configuration (10° half-angle conical nozzle with a 90 cm exit diameter). These methods are compared with computational fluid dynamics (CFDs) simulations to address discrepancies between experimental and predicted enthalpy and heat flux values. Significant deviations between measured and simulated results prompted a reassessment of the numerical and experimental models. Initially, the Navier–Stokes model, which assumes chemically reacting, non-equilibrium flows and fully catalytic copper walls, underestimated the heat flux. By incorporating partial catalytic behavior for the copper probe surface, the CFD results showed better agreement with the experimental data, providing a more accurate representation of heat flux and flow enthalpy within the test environment. Full article
(This article belongs to the Special Issue Thermal Protection System Design of Space Vehicles)
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Figure 1

Figure 1
<p>Simplified scheme of the heat balance methodology for the determination of the mass-averaged total enthalpy, for the CIRA Scirocco facility.</p>
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<p>Simplified scheme of the measurement setup for the stagnation heat flux and pressure. CIRA Scirocco facility.</p>
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<p>Tip of standard 100 mm diameter hemispherical copper-cooled probe. Gardon gauge and pressure ports are highlighted.</p>
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<p>Computational domain and mesh for Scirocco rebuilding test cases.</p>
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<p>Final comparison of enthalpy determination methods: enthalpy values, computed using various methods, are plotted against the Zoby-derived enthalpy calculated from heat flux measurements. Linear interpolations of these data and error bars are also shown for each method.</p>
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<p>Results of CFDs calculations at nozzle throat for Scirocco: (<b>a</b>) enthalpy and temperature and (<b>b</b>) velocity and density. Mean radiation distribution from the free-stream plasma flow at the nozzle exit (Test 13, <a href="#aerospace-11-01023-t001" class="html-table">Table 1</a>).</p>
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<p>Example of radial profile of (<b>a</b>) stagnation heat flux (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>q</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math>) and (<b>b</b>) pressure (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>p</mi> </mrow> <mrow> <mi>s</mi> </mrow> </msub> </mrow> </semantics></math>) of the free-stream plasma flow of the SICROCCO facility (Test 26, <a href="#aerospace-11-01023-t001" class="html-table">Table 1</a>).</p>
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<p>Mean radiation distribution from the free-stream plasma flow (<b>a</b>); transversal profiles extracted from the mean radiation distribution of the free-stream plasma flow for <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>t</mi> <mi>o</mi> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math> = 3681 A and <math display="inline"><semantics> <mrow> <msub> <mrow> <mover accent="true"> <mrow> <mi>m</mi> </mrow> <mo>˙</mo> </mover> </mrow> <mrow> <mi>AIR</mi> </mrow> </msub> </mrow> </semantics></math> = 0.74 kg/s (Test 4, <a href="#aerospace-11-01023-t001" class="html-table">Table 1</a>) (<b>b</b>).</p>
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<p>Dependence of deduced centerline enthalpy <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>H</mi> </mrow> <mrow> <mi>c</mi> </mrow> <mrow> <mn>0</mn> </mrow> </msubsup> </mrow> </semantics></math> on assumed catalytic efficiency <math display="inline"><semantics> <mrow> <mi>γ</mi> </mrow> </semantics></math> for Scirocco (test 26–28, <a href="#aerospace-11-01023-t001" class="html-table">Table 1</a>).</p>
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