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Search Results (28,604)

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15 pages, 4357 KiB  
Article
Dimethyl Fumarate Strongly Ameliorates Gray and White Matter Brain Injury and Modulates Glial Activation after Severe Hypoxia–Ischemia in Neonatal Rats
by Jon Ander Alart, Antonia Álvarez, Ana Catalan, Borja Herrero de la Parte and Daniel Alonso-Alconada
Antioxidants 2024, 13(9), 1122; https://doi.org/10.3390/antiox13091122 (registering DOI) - 16 Sep 2024
Abstract
Neonatal hypoxia–ischemia is a major cause of infant death and disability. The only clinically accepted treatment is therapeutic hypothermia; however, cooling is less effective in the most severely encephalopathic infants. Here, we wanted to test the neuroprotective effect of the antioxidant dimethyl fumarate [...] Read more.
Neonatal hypoxia–ischemia is a major cause of infant death and disability. The only clinically accepted treatment is therapeutic hypothermia; however, cooling is less effective in the most severely encephalopathic infants. Here, we wanted to test the neuroprotective effect of the antioxidant dimethyl fumarate after severe hypoxia–ischemia in neonatal rats. We used a modified Rice–Vannucci model to generate severe hypoxic–ischemic brain damage in day 7 postnatal rats, which were randomized into four experimental groups: Sham, Sham + DMF, non-treated HI, and HI + DMF. We analyzed brain tissue loss, global and regional (cortex and hippocampus) neuropathological scores, white matter injury, and microglial and astroglial reactivity. Compared to non-treated HI animals, HI + DMF pups showed a reduced brain area loss (p = 0.0031), an improved neuropathological score (p = 0.0016), reduced white matter injuries by preserving myelin tracts (p < 0.001), and diminished astroglial (p < 0.001) and microglial (p < 0.01) activation. After severe hypoxia–ischemia in neonatal rats, DMF induced a strong neuroprotective response, reducing cerebral infarction, gray and white matter damage, and astroglial and microglial activation. Although further molecular studies are needed and its translation to human babies would need to evaluate the molecule in piglets or lambs, DMF may be a potential treatment against neonatal encephalopathy. Full article
7 pages, 218 KiB  
Brief Report
Parents’ Perspectives of Children with PKU: Assessing Parental Stress and Psychological Adjustment
by Chiara Cazzorla, Daniela Di Riso, Giacomo Gaiga, Antonia De Cusatis, Silvia Spaggiari, Vincenza Gragnaniello, Christian Loro, Daniela Gueraldi, Rossana Schiavo, Alessandro P. Burlina and Alberto B. Burlina
Psychol. Int. 2024, 6(3), 779-785; https://doi.org/10.3390/psycholint6030049 (registering DOI) - 16 Sep 2024
Abstract
Phenylketonuria (PKU) is an inborn error of metabolism resulting from a deficiency of phenylalanine hydroxylase enzyme activity. Diagnosis in the first days of life allows early initiation of dietary therapy. The maintenance of this treatment raises demanding management issues in everyday life, often [...] Read more.
Phenylketonuria (PKU) is an inborn error of metabolism resulting from a deficiency of phenylalanine hydroxylase enzyme activity. Diagnosis in the first days of life allows early initiation of dietary therapy. The maintenance of this treatment raises demanding management issues in everyday life, often resulting in a psychological burden for patients and families. In this brief report, we aimed to investigate parenting stress and parents’ perceptions of their child’s adjustment, focusing on correlations between the perspectives of mothers and fathers. We conducted an observational study, enrolling parents of pediatric patients (aged 2–18) diagnosed with PKU and treated from birth. A total of 20 parenting couples of 20 PKU-affected children were included. The mean Phe level was 301.60 µmol/L (SD = 128.39). Most PSI-SF and SDQ-P scores were below the clinically relevant threshold. Significant correlations emerged between paternal parenting stress and the child’s Phe level and, additionally, between mothers’ and fathers’ scores. Parents of PKU-affected children reported acceptable levels of parenting stress and their children’s psychological adjustment. However, fathers perceived greater stress in maintaining adequate Phe levels for their children. Our results suggest a similar perspective of both parents in relation to their child’s psychological adjustment. Therefore, the psychological well-being of PKU patients and their parents must be monitored to provide family-centered care and psychological support in the process of accepting a rare disease. Full article
18 pages, 8070 KiB  
Article
Comparative Analysis of Dielectric Behavior under Temperature and UV Radiation Exposure of Insulating Paints for Electrical Equipment Protection—The Necessity of a New Standard?
by Alina Ruxandra Caramitu, Magdalena Valentina Lungu, Romeo Cristian Ciobanu, Mihaela Aradoaei, Eduard-Marius Lungulescu and Virgil Marinescu
Coatings 2024, 14(9), 1194; https://doi.org/10.3390/coatings14091194 - 16 Sep 2024
Abstract
This paper describes the behavior of some epoxy, acrylic and polyurethane paints used in the protection of electrical equipment under the action of different degradation factors. The degradation factors chosen were temperature and UV radiation. The behavior of the paints under the action [...] Read more.
This paper describes the behavior of some epoxy, acrylic and polyurethane paints used in the protection of electrical equipment under the action of different degradation factors. The degradation factors chosen were temperature and UV radiation. The behavior of the paints under the action of these factors was interpreted by the variation of the tangent of the dielectric loss angle (tg Delta) as well as by FTIR and TG DSC analyses. Tg Delta was considered the reference dielectric characteristic because it best simulates the functionality of the material. The results presented in this paper lead to the conclusion that exposure to thermal cycles and UV radiation is necessary for each paint to give indications about their possibility of use in these conditions. At the same time, the evaluation of thermal stability, even if the exposure is at lower temperatures (than those at which we performed the tests) and/or for shorter periods, is very important for placing the paint in an insulation class. The tests that were the subject of this work provide us with the following information about the three types of paints analyzed: the highest resistance to thermal cycles is presented by S3, followed by S2 and then S1; thermal endurance tests place the polyurethane paint (S3) in insulation class E and the epoxy paint (S1) in insulation class B; and the tests to determine resistance to UV radiation qualify the best paint as acrylic (S2) and the worst as polyurethane (S3). Thus, it can be said that in applications where it is necessary for the protective film to withstand high temperatures, the use of S3 paint (polyurethane) is recommended, and in applications where the films are kept under the influence of UV radiation for a longer time, it is recommended to use coded paint S2 (acrylic). The results presented in this paper lead to the conclusion that the exposure to thermal cycles simulating the use in outdoor conditions and the resilience of paints under UV radiation conditions must be performed for each paint according to its specific use, and the dielectric characteristics must be carefully evaluated because they can reach values under the accepted limit—e.g., thermal stability evaluation—even if the exposure is at lower temperatures and/or for shorter periods. The conclusions of the experimental work must be generalized at different types of electrical insulating paints, and maybe a new standard is necessary to assess the paints’ behavior under usage conditions, with the paints needing to be treated separately from the classical polymeric insulation systems. Full article
(This article belongs to the Special Issue Surface Modification and Coating Techniques for Polymers)
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<p>The diagram of the thermal cycling test.</p>
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<p>X-ray diffractogram for S1.</p>
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<p>X-ray diffractogram for S2.</p>
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<p>X-ray diffractogram for S3.</p>
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<p>Spectral data for sample S1.</p>
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<p>Spectral data for sample S2.</p>
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<p>Spectral data for sample S3.</p>
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<p>TG-DSC curves for S1 initial and UV-irradiated samples after 92 h.</p>
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<p>TG-DSC curves for the S2 initial and UV-irradiated samples after 92 h.</p>
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<p>DTG curves for the S3 initial and UV-irradiated samples after 92 h.</p>
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<p>Dielectric features of S1.</p>
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<p>Dielectric features of S2.</p>
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<p>Dielectric features of S3.</p>
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<p>Tg Delta characteristics vs. exposure time for S1.</p>
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<p>Tg Delta characteristics vs. exposure time for S2.</p>
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<p>Tg Delta characteristics vs. exposure time for S3.</p>
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<p>Variation of tg Delta vs. duration of thermal exposure at 100 °C: (<b>a</b>) S1; (<b>b</b>) S3.</p>
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<p>Variation of tg Delta vs. duration of thermal exposure at 200 °C: (<b>a</b>) S1; (<b>b</b>) S3.</p>
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<p>Variation of tg Delta vs. duration of thermal exposure at 250 °C: (<b>a</b>) S1; (<b>b</b>) S3.</p>
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<p>Thermal stability of electrical insulating paints: (<b>a</b>) S1-epoxy; (<b>b</b>) S3-polyurethane.</p>
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16 pages, 693 KiB  
Article
Harnessing the Potential of Whey in the Creation of Innovative Food Products: Contributions to the Circular Economy
by Mihaela Adriana Tița, Valentina-Mădălina Moga, Maria Adelina Constantinescu, Cristina Maria Bătușaru and Ovidiu Tița
Recycling 2024, 9(5), 79; https://doi.org/10.3390/recycling9050079 (registering DOI) - 16 Sep 2024
Abstract
Food waste and by-products are intricately linked to sustainable food production, as reducing waste can play a significant role in achieving a more sustainable and efficient food system. Sustainable utilization and recovery of by-products can significantly contribute by creating strategies that can lead [...] Read more.
Food waste and by-products are intricately linked to sustainable food production, as reducing waste can play a significant role in achieving a more sustainable and efficient food system. Sustainable utilization and recovery of by-products can significantly contribute by creating strategies that can lead to cost savings and increased efficiency across the food supply chain. Worldwide, more than 40% of whey from cheese production is discarded, resulting in the loss of valuable nutrients and potentially polluting the environment. Effective use of whey reduces environmental impact and enhances manufacturing sustainability. Thus, a circular approach to food waste management in the dairy industry supports sustainability goals and creates opportunities for innovation. Whey contains most of the soluble components of milk, including a large number of serum proteins and all the essential amino acids, making it suitable for producing beverages with high nutritional value. This study aims to produce whey-based beverages with different additions to obtain dairy products with high nutritional value. Three different ingredients, sea buckthorn, ginger, and cinnamon, were chosen for their numerous health benefits to the consumer. Six samples were prepared utilizing both unmodified and deproteinized whey in a 75% proportion, with the addition of 25% sea buckthorn juice, 0.75% ginger juice, and 0.2% cinnamon powder. The resultant samples were packaged in 200 mL bottles and maintained at a controlled temperature of 6 °C to ensure optimal preservation. Given the paramount importance of consumer acceptability in novel beverage development, a comprehensive evaluation was conducted to assess the sensory properties of the formulated beverages. In addition, physico-chemical properties and their evolution over 14 days of storage were examined. The sample containing whey, sea buckthorn juice, ginger juice, and cinnamon powder received the highest marks from the tasters. The values of the physico-chemical parameters varied depending on the type of whey used and the storage period. Thus, a pH of approximately 5 and an acidity between 30 and 80 °T were recorded. The average lactose content was 4%, the average protein content was 2.5%, and the total soluble solids content was 11.5 °Brix. The beverages developed in this study represent viable alternatives for diversifying food production through sustainable, environmentally friendly technological variants. By applying circular economy principles, these products contribute to reducing food waste in the dairy industry. Full article
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<p>Evolution of pH in whey samples during 14 days of storage. Note: Red dots = mean (n = 5).</p>
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<p>Evolution of titratable acidity in whey samples during 14 days of storage. Note: Red dots = mean (n = 5).</p>
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23 pages, 5439 KiB  
Article
Insulin-Loaded Chitosan–Cellulose-Derivative Hydrogels: In Vitro Permeation of Hormone through Strat-M® Membrane and Rheological and Textural Analysis
by Aneta Ostróżka-Cieślik, Claire Strasser and Barbara Dolińska
Polymers 2024, 16(18), 2619; https://doi.org/10.3390/polym16182619 - 16 Sep 2024
Abstract
This work is part of the current research trend to develop a hydrogel carrier of insulin to promote wound healing. Topically applied insulin promotes keratinocyte proliferation and migration, increases collagen synthesis, reduces inflammation and oxidative stress, and exhibits antimicrobial activity. The aim of [...] Read more.
This work is part of the current research trend to develop a hydrogel carrier of insulin to promote wound healing. Topically applied insulin promotes keratinocyte proliferation and migration, increases collagen synthesis, reduces inflammation and oxidative stress, and exhibits antimicrobial activity. The aim of this study was to design an insulin hydrogel matrix based on selected cellulose derivatives (methylcellulose, hydroxyethylcellulose, and hydroxypropylmethylcellulose) and chitosan. Rheological parameters of the formulations were evaluated using rotational rheometry and an oscillation test. Textural tests were performed. In vitro pharmaceutical insulin availability studies were carried out using the innovative Strat-M® membrane to imitate the skin barrier. It was found that the pharmaceutical formulation of insulin based on chitosan and methylcellulose showed an acceptable balance between rheological and textural parameters and ease of application. The API was released from the carrier in a prolonged manner, eliminating the need to apply the formulation several times per day. The developed hydrogel shows potential for use in clinical practice. Full article
(This article belongs to the Section Polymer Applications)
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<p>The course of insulin release profiles from chitosan / methylcellulose (CS/MC, 1), chitosan/hydroxyethylcellulose (CS/HEC, 2), chitosan/hydroxypropylmethylethylcellulose (CS/HPMC, 3). Each point corresponds to the mean ± SD value (n = 6).</p>
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<p>Flow rheograms of tested hydrogels at 25 °C (Lamy Rheology Instruments).</p>
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<p>Amplitude sweep test results as a function of shear strain for CS/HEC + INS at 25 °C.</p>
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<p>Frequency sweep of the CS/HPMC + INS sample at 25 °C (<b>A</b>) and 32 °C (<b>B</b>).</p>
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<p>Frequency sweep of the CS/HEC + INS sample at 25 °C (<b>A</b>) and 32 °C (<b>B</b>).</p>
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<p>Frequency sweep of the CS/MC + INS sample at 25 °C (<b>A</b>) and 32 °C (<b>B</b>).</p>
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<p>Comparison of the complex stiffness G* and the phase angle of the preparations at 25 °C (<b>A</b>) and 32 °C (<b>B</b>).</p>
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<p>Penetration test (compression/relaxation/tension, CRT) of chitosan/methylcellulose (CS/MC) with insulin (<b>A</b>), chitosan/hydroxyethylcellulose (CS/HEC) with insulin (<b>B</b>), chitosan/hydroxypropylmethylethylcellulose (CS/HPMC) with insulin (<b>C</b>).</p>
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<p>Texture profile analysis (TPA) of chitosan/methylcellulose (CS/MC) with insulin (<b>A</b>), chitosan/hydroxyethylcellulose (CS/HEC) with insulin (<b>B</b>), chitosan/ hydroxypropylmethylethylcellulose (CS/HPMC) with insulin (<b>C</b>).</p>
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18 pages, 1415 KiB  
Review
New Insights into Mitochondria in Health and Diseases
by Ya Li, Huhu Zhang, Chunjuan Yu, Xiaolei Dong, Fanghao Yang, Mengjun Wang, Ziyuan Wen, Mohan Su, Bing Li and Lina Yang
Int. J. Mol. Sci. 2024, 25(18), 9975; https://doi.org/10.3390/ijms25189975 (registering DOI) - 16 Sep 2024
Abstract
Mitochondria are a unique type of semi-autonomous organelle within the cell that carry out essential functions crucial for the cell’s survival and well-being. They are the location where eukaryotic cells carry out energy metabolism. Aside from producing the majority of ATP through oxidative [...] Read more.
Mitochondria are a unique type of semi-autonomous organelle within the cell that carry out essential functions crucial for the cell’s survival and well-being. They are the location where eukaryotic cells carry out energy metabolism. Aside from producing the majority of ATP through oxidative phosphorylation, which provides essential energy for cellular functions, mitochondria also participate in other metabolic processes within the cell, such as the electron transport chain, citric acid cycle, and β-oxidation of fatty acids. Furthermore, mitochondria regulate the production and elimination of ROS, the synthesis of nucleotides and amino acids, the balance of calcium ions, and the process of cell death. Therefore, it is widely accepted that mitochondrial dysfunction is a factor that causes or contributes to the development and advancement of various diseases. These include common systemic diseases, such as aging, diabetes, Parkinson’s disease, and cancer, as well as rare metabolic disorders, like Kearns–Sayre syndrome, Leigh disease, and mitochondrial myopathy. This overview outlines the various mechanisms by which mitochondria are involved in numerous illnesses and cellular physiological activities. Additionally, it provides new discoveries regarding the involvement of mitochondria in both disorders and the maintenance of good health. Full article
(This article belongs to the Section Molecular Pathology, Diagnostics, and Therapeutics)
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<p>Mitochondrial structure and the process by which NADH + H<sup>+</sup> enters the mitochondria via specific shuttling in the inner mitochondrial membrane. The process of producing ATP is intricate. For instance, the metabolism of glucose involves the cytoplasmic glycolysis process, the mitochondrial matrix TCA cycle, and oxidative phosphorylation accompanied by the production of ATP. Of these, the pyruvate transporter facilitates the entry of pyruvate generated during glycolysis into the mitochondria, but the mechanism of NADH + H+ entering the mitochondria is more intricate: 1. NADH + H<sup>+</sup> in the cytoplasm is treated by malate dehydrogenase to make oxaloacetic acid (OAA) accept 2 H and become malic acid (MAL). 2. Malic acid enters mitochondria via transport carriers in the inner membrane.3. Under the action of malic acid entering mitochondria, NAD<sup>+</sup> is used as acceptor to form oxaloacetic acid and NADH + H<sup>+</sup>. 4. Oxaloacetic acid and glutamic acid are transformed into aspartic acid and alpha-ketoglutaric acid by the interaction of glutamic acid with glutamic acid through glutamic oxaloacetic acid transaminase. 5. Aspartate (Asp) and α-ketoglutaric acid enter the cytoplasm with the help of mitochondrial transport carriers. 6. Glutamate (Glu) consumed in the mitochondria is supplemented by the exchange of glutamate in cellular fluid and outgoing aspartic acid through the reverse glutamate–aspartic acid transport carrier.</p>
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<p>Mitophagy mediated by the PINK1–Parkin pathway during aging. PINK1 accumulates on the outer membrane of the mitochondria under depolarization or stress, and autophosphorylation activates it. In addition, the active PINK1 draws the cytoplasmic Parkin protein to the mitochondria and triggers Parkin’s E3 ubiquitin ligase activity by phosphorylating ubiquitin, which polyubiquitinates the protein found in the mitochondrial membrane. Specifically, signals for the identification of autophagy receptors are provided by ubiquitin chains connected by K63, and autophagy receptor proteins, like p62, OPTN, and NDP52, are attracted to mitochondria modified by ubiquitination to facilitate selective autophagy.</p>
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<p>Complex regulatory networks in Parkinson’s disease. Parkinson’s disease has a complex etiology that includes both genetic and environmental influences. The three that will most likely impact mitochondrial function, cause abnormalities in mitochondrial electron transfer and oxidative phosphorylation, produce reactive oxygen species (ROS), and ultimately result in nerve cell death are oxidative stress, SNCA mutation, and LRRK2 mutation.</p>
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13 pages, 714 KiB  
Article
Efficacy, Safety and Acceptability of a Very-Low-Energy Diet in Adolescents with Obesity: A Fast Track to Health Sub-Study
by Megan L. Gow, Hiba Jebeile, Eve T. House, Shirley Alexander, Louise A. Baur, Justin Brown, Clare E. Collins, Chris T. Cowell, Kaitlin Day, Sarah P. Garnett, Alicia Grunseit, Mary-Kate Inkster, Cathy Kwok, Sarah Lang, Susan J. Paxton, Helen Truby, Krista A. Varady and Natalie B. Lister
Nutrients 2024, 16(18), 3125; https://doi.org/10.3390/nu16183125 (registering DOI) - 16 Sep 2024
Abstract
The aim of this study was to determine the efficacy, safety and acceptability of a 4-week very-low-energy diet (VLED) program for adolescents with obesity. Adolescents (13–17 years) with obesity and ≥1 obesity-related complication were Fast Track to Health 52-week randomized controlled trial participants. [...] Read more.
The aim of this study was to determine the efficacy, safety and acceptability of a 4-week very-low-energy diet (VLED) program for adolescents with obesity. Adolescents (13–17 years) with obesity and ≥1 obesity-related complication were Fast Track to Health 52-week randomized controlled trial participants. Adolescents undertook a 4-week micronutrient-complete VLED (800 kcal/day), with weekly dietitian support. Anthropometric data were recorded at baseline and week-4 and side-effects at day 3–4, week-1, -2, -3 and -4. Adolescents completed an acceptability survey at week-4. A total of 134 adolescents (14.9 ± 1.2 years, 50% male) had a 5.5 ± 2.9 kg (p < 0.001) mean weight loss at week-4: 95% experienced ≥1 and 70% experienced ≥3 side-effects during the VLED program, especially during the first week. Hunger, fatigue, headache, irritability, loose stools, constipation and nausea were most common. Reporting more side-effects at day 3–4 correlated with greater weight loss at week-4 (r = −0.188, p = 0.03). Adolescents reported ‘losing weight’ (34%) and ‘prescriptive structure’ (28%) as the most positive aspects of VLED, while ‘restrictive nature’ (45%) and ‘meal replacement taste’ (20%) were least liked. A dietitian-monitored short-term VLED can be implemented safely and is acceptable for many adolescents seeking weight loss, despite frequent side-effects. Investigating predictors of acceptability and effectiveness could determine adolescents most suited to VLED programs. Full article
(This article belongs to the Special Issue Diet and Nutrition Approaches in Obesity Treatment)
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<p>Individual participant changes in weight (kg) and BMI expressed as a percentage of the 95th percentile (BMIp95) during the 4-week very-low-energy diet phase.</p>
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<p>Number of participants experiencing at least one side-effect and total number of side-effects reported at each time point during the very-low-energy diet phase. Participants with side-effect data at each time point were: day 3–4, <span class="html-italic">n</span> = 111; week-1, <span class="html-italic">n</span> = 129; week-2, <span class="html-italic">n</span> = 129; week-3, <span class="html-italic">n</span> = 122; week-4, <span class="html-italic">n</span> = 130. Note: some participants reported more than one side-effect at certain time points.</p>
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19 pages, 5759 KiB  
Article
Pasta Incorporating Olive Pomace: Impact on Nutritional Composition and Consumer Acceptance of a Prototype
by Diana Melo Ferreira, Bárbara C. C. Oliveira, Carla Barbosa, Anabela S. G. Costa, Maria Antónia Nunes, Maria Beatriz P. P. Oliveira and Rita C. Alves
Foods 2024, 13(18), 2933; https://doi.org/10.3390/foods13182933 (registering DOI) - 16 Sep 2024
Abstract
The food industry is encouraged to develop new sustainable foodstuffs, and agri-food by-products can serve as valuable ingredients in these formulations. In this work, olive pomace (OP), a by-product of olive oil production, was incorporated as an ingredient in pasta. The changes in [...] Read more.
The food industry is encouraged to develop new sustainable foodstuffs, and agri-food by-products can serve as valuable ingredients in these formulations. In this work, olive pomace (OP), a by-product of olive oil production, was incorporated as an ingredient in pasta. The changes in the nutritional composition and consumer acceptance were assessed, aiming to scale up the production. OP contains dietary fibre (55%), fat (9%), α-tocopherol (43 mg/kg), and oleic acid (76%) after moisture elimination. For that, the following two drying procedures were tested: 40 °C for 48 h (OP40) and 70 °C for 24 h (OP70). Both samples were sieved to remove the stone pieces. Drying at 70 °C (OP70) was the fastest method, revealed a better nutritional profile than OP40, and was the product selected for the incorporation into the pasta. The enriched pasta, containing 7.5% of OP70, was compared to a control. It showed an improved nutritional value with higher contents of fat, ash, fibre, vitamin E, oleic acid, phenolics, and flavonoids, a composition related to potential health benefits. Consumers appreciated the appearance, colour, shine, and aroma of the obtained pasta, making it a prototype with commercial viability. However, several improvements need to be implemented, namely, at the textural levels. Corrective actions, such as the optimisation of the amount of incorporated OP, the use of other ingredients for flavour masking, and textural adjustments, are advisable, thereby making this product more appealing and accepted by a larger number of consumers. This prototype can be a good approach for the circular economy, environmental sustainability, and food security. Full article
(This article belongs to the Section Food Security and Sustainability)
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<p>(<b>a</b>) Control pasta; (<b>b</b>) Olive pomace dried at 70 °C pasta.</p>
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<p>Boxplot of acceptability scores before tasting.</p>
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<p>Boxplot of acceptability scores after tasting (buying intention results were multiplied by a 9/5 factor, allowing us to plot these results in the same graph).</p>
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<p>Buying intention of pasta.</p>
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17 pages, 1229 KiB  
Article
Heat Conduction Control Using Deep Q-Learning Approach with Physics-Informed Neural Networks
by Nelson D. Gonçalves and Jhonny de Sá Rodrigues
Metrology 2024, 4(3), 489-505; https://doi.org/10.3390/metrology4030030 (registering DOI) - 16 Sep 2024
Abstract
As modern systems become more complex, their control strategy no longer relies only on measurement data from probes; it also requires information from mathematical models for non-measurable places. On the other hand, those mathematical models can lead to unbearable computation times due to [...] Read more.
As modern systems become more complex, their control strategy no longer relies only on measurement data from probes; it also requires information from mathematical models for non-measurable places. On the other hand, those mathematical models can lead to unbearable computation times due to their own complexity, making the control process non-viable. To overcome this problem, it is possible to implement any kind of surrogate model that enables the computation of such estimates within an acceptable time frame, which allows for making decisions. Using a Physics-Informed Neural Network as a surrogate model, it is possible to compute the temperature distribution at each time step, replacing the need for running direct numerical simulations. This approach enables the use of a Deep Reinforcement Learning algorithm to train a control strategy. On this work, we considered a one-dimensional heat conduction problem, in which temperature distribution feeds a control system. Such control system has the objective of reacing and maintaining constant temperature value at a specific location of the 1D problem by activating a heat source; the desired location somehow cannot be directly measured so, the PINN approach allows to estimate its temperature with a minimum computational workload. With this approach, the control training becomes much faster without the need of performing numerical simulations or laboratory measurements. Full article
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<p>Control flowchart.</p>
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<p>Perceptron.</p>
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<p>Neural network.</p>
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<p>Physics-Informed Neural Network.</p>
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<p>Deep Q-Learning training flowchart.</p>
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<p>A 1-dimensional bar as a case of study.</p>
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<p>Temperature distribution along time at three points: <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (blue line), <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> (green line) and <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> (red line), with no heating source.</p>
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<p>Temperature distribution along <span class="html-italic">x</span> for <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>0</mn> <mspace width="0.166667em"/> <mspace width="3.33333pt"/> <mi mathvariant="normal">s</mi> </mrow> </semantics></math> (red line) up to <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>2</mn> <mspace width="0.166667em"/> <mspace width="3.33333pt"/> <mi mathvariant="normal">s</mi> </mrow> </semantics></math> (blue line), with no heating source.</p>
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<p>Temperature distribution along time at three points: <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (blue line), <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> (green line) and <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> (red line), with bang–bang controller.</p>
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<p>Temperature distribution along time at three points: <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (blue line), <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> (green line) and <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> (red line), with bang–bang controller.</p>
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<p>Temperature distribution along time at three points: <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (blue line), <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> (green line) and <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> (red line), with DQL controller.</p>
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<p>Temperature distribution along time at three points: <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (blue line), <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> (green line) and <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>1</mn> </mrow> </semantics></math> (red line), with DQL controller.</p>
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<p>Temperature evolution on the domain along the time, from initial stage (red line) up to final stage at <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> (blue line) with bang–bang control.</p>
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<p>Temperature evolution on the domain along the time, from initial stage (red line) up to final stage at <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> (blue line) with bang–bang control.</p>
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<p>Temperature evolution on the domain along the time, from initial stage (red line) up to final stage at <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> (blue line) with model control.</p>
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<p>Temperature evolution on the domain along the time, from initial stage (red line) up to final stage at <math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>2</mn> </mrow> </semantics></math> (blue line) with model control.</p>
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<p>Temperature at the control point <math display="inline"><semantics> <mrow> <mi>x</mi> <mo>=</mo> <mn>0.5</mn> </mrow> </semantics></math> obtained with progressively finer meshes.</p>
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9 pages, 232 KiB  
Communication
Regenerating Family Member 3 Alpha Is Predictive of Mortality Following Emergent Large Vessel Occlusion
by Madison Sands, Christopher J. McLouth, Jacqueline A. Frank, Benton Maglinger, Nathan Millson, Mais N. Al-Kawaz, Shivani Pahwa, David L. Dornbos, Douglas E. Lukins, Amanda L. Trout, Ann M. Stowe, Justin F. Fraser and Keith R. Pennypacker
Int. J. Mol. Sci. 2024, 25(18), 9968; https://doi.org/10.3390/ijms25189968 (registering DOI) - 16 Sep 2024
Abstract
Regenerating Family Member 3 Alpha (REG3A) is an antimicrobial protein secreted by the intestine and pancreas with additional immunomodulatory properties. Previously, we published that REG3A expression in ischemic stroke patient systemic blood, during mechanical thrombectomy (MT), is significantly associated with inflammatory cytokines and [...] Read more.
Regenerating Family Member 3 Alpha (REG3A) is an antimicrobial protein secreted by the intestine and pancreas with additional immunomodulatory properties. Previously, we published that REG3A expression in ischemic stroke patient systemic blood, during mechanical thrombectomy (MT), is significantly associated with inflammatory cytokines and patient function on admission. This paper, however, did not investigate post-acute death rates. Therefore, we investigated plasma REG3A protein expression, during MT, in patients (n = 141) that survived or died within the end of the follow-up after MT. Subjects who died had significantly higher systemic plasma REG3A levels at the time of MT compared to survivors (p = 0.001). Age, sex, time from last known normal, and admission NIHSS were included as predictors to control for confounding variables and were all examined to determine their association in patient mortality. Logistic regression was used to demonstrate that higher odds of death were associated with increased REG3A levels (p = 0.002). REG3A demonstrated acceptable discrimination (AUC (95% CI): 0.669 (0.566–0.772) in predicting mortality. The overall model with age, sex, time from last known normal, and admission NIHSS discriminated well between survivors and those who died (AUC (95% CI): 0.784 (0.703–0.864)). In conclusion, REG3A could be promising as a biomarker to prognosticate stroke outcomes and stratify high-risk groups following acute ischemic stroke. Full article
(This article belongs to the Special Issue Proteomics and Its Applications in Disease 3.0)
19 pages, 1359 KiB  
Article
Socially Acceptable Feed Formulations May Impact the Voluntary Feed Intake and Growth, but Not Robustness of Nile Tilapia (Oreochromis niloticus)
by Rodrigo Mendes, Paulo Rema, Jorge Dias, Ana Teresa Gonçalves, Rita Teodósio, Sofia Engrola, Francisco J. Sánchez-Vázquez and Luís E. C. Conceição
Fishes 2024, 9(9), 361; https://doi.org/10.3390/fishes9090361 (registering DOI) - 16 Sep 2024
Viewed by 67
Abstract
Society is becoming more demanding with aquaculture’s environmental footprint and animal wellbeing. In order to potentially mitigate these concerns, feed formulations could be based on eco-efficient (circular economy-driven) or organic ingredients. This study aimed to investigate the growth performance, feed utilization, and health [...] Read more.
Society is becoming more demanding with aquaculture’s environmental footprint and animal wellbeing. In order to potentially mitigate these concerns, feed formulations could be based on eco-efficient (circular economy-driven) or organic ingredients. This study aimed to investigate the growth performance, feed utilization, and health status of juvenile Nile tilapia (Oreochromis niloticus) when fed with such feeds. The growth trial lasted for 8 weeks, and fish had an initial weight of 31.0 ± 0.5 g (mean ± SD). Fish were fed until visual satiation, in quadruplicate, with one of three isonitrogenous and isoenergetic experimental feeds: a commercial-like feed without fishmeal (PD), a diet based on ingredients compatible with organic certification (ORG), or a feed formulated using circular economy-driven subproducts and emergent ingredients (ECO). Fish fed ECO showed a tendency for decreased feed intake, while ORG fish significantly reduced their intake compared to those fed PD. Consequently, fish fed ECO (62.7 ± 5.4 g) exhibited almost half the growth than those fed PD (107.8 ± 6.1 g), while ORG fish almost did not increase their weight (32.7 ± 1.3 g). ECO and ORG diets had a lower digestibility for protein, lipid, and energy when compared to PD. Feed utilization of fish fed ECO or ORG was also lower than those fed PD. From the health-related genes analyzed, only glutathione reductase (gsr) showed statistically significant differences, being more expressed in fish-fed ECO than those fed PD. Thus, even when such novel formulations induced extreme effects on voluntary feed intake, their impact was noted only in fish growth, but not in robustness. Full article
(This article belongs to the Special Issue Welfare and Sustainability in Aquaculture)
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<p>Nutrient or energy retentions (% digestible intake) of protein, lipid, and energy of experimental diets (PD, ORG, and ECO) given to Nile tilapia (<span class="html-italic">Oreochromis niloticus</span>) for 55 days. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 4). Different letters indicate significant differences (Kruskal—Wallis; <span class="html-italic">p</span>  &lt;  0.05) between dietary treatments.</p>
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<p>Relative expression (mRNA relative expression) of genes encoding for intestinal epithelial integrity (<span class="html-italic">dao</span>, <span class="html-italic">ocl</span>, and <span class="html-italic">tjp2</span>), oxidative status/stress (<span class="html-italic">cat</span>, <span class="html-italic">gpx</span>, <span class="html-italic">gsr</span>, <span class="html-italic">nrf2</span>, and <span class="html-italic">hsp70</span>), and immune condition (<span class="html-italic">tnf-α</span>, <span class="html-italic">il-1β</span>, and <span class="html-italic">tgf-β</span>) in juvenile Nile tilapia (<span class="html-italic">Oreochromis niloticus</span>) fed with three diets (PD, ORG, and ECO) over 55 days. Data are presented as mean ± standard deviation (<span class="html-italic">n</span> = 7 for CTRL and <span class="html-italic">n</span> = 8 for ORG and ECO). Different letters indicate significant differences (one-way ANOVA; <span class="html-italic">p</span> &lt; 0.05) between dietary treatments. Abbreviations: <span class="html-italic">dao:</span> D-amino oxidase; <span class="html-italic">ocl</span>: occluding; <span class="html-italic">tjp2:</span> tight junction protein 2; <span class="html-italic">cat</span>: catalase; <span class="html-italic">gpx</span>: glutathione peroxidase; <span class="html-italic">gsr:</span> glutathione reductase; <span class="html-italic">nrf2</span>: nuclear factor erythroid 2—related factor 2; <span class="html-italic">hsp70:</span> heat shock protein 70; <span class="html-italic">tnf-α</span>: tumor necrosis factor; <span class="html-italic">il-1β</span>: interleukin-1β; <span class="html-italic">tgf-β</span>: transforming growth factor β.</p>
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49 pages, 13985 KiB  
Article
Modeling of Applying Road Pricing to Airport Highway Using VISUM Software in Jordan
by Amani Abdallah Assolie, Rana Imam, Ibrahim Khliefat and Ala Alobeidyeen
Sustainability 2024, 16(18), 8079; https://doi.org/10.3390/su16188079 (registering DOI) - 15 Sep 2024
Viewed by 333
Abstract
Road congestion in Amman City has been increasing yearly, due to the increase in private car ownership and traffic volumes. This study aims to (a) evaluate the toll road’s effects on society and the economy in Amman, Jordan, through a survey questionnaire using [...] Read more.
Road congestion in Amman City has been increasing yearly, due to the increase in private car ownership and traffic volumes. This study aims to (a) evaluate the toll road’s effects on society and the economy in Amman, Jordan, through a survey questionnaire using statistical software (SPSS), (b) assess the impact of the toll road on reducing congestion and delays using micro-simulation (VISUM), (c) identify the optimal toll price for a selected road using VISUM and (d) validate the simulated models with the optimal revenue. Traffic, geometric, and cost data about the toll technique of two sections on the Airport Highway (from the Ministry of Foreign Affairs to the Madaba Interchange; and from the Madaba Interchange to the Queen Alia International Airport (QAIA) Interchange) were used for simulation purposes. The toll road (across seven different scenarios at different prices) was evaluated for optimal revenue. The survey questionnaire was made based on all scenarios, including the AM peak hour. The operation cost for the toll road was determined based on the Greater Amman Municipality (GAM). The best scenario was determined based on the value of revenue (JOD). The results indicate that higher acceptance is achieved when applying road pricing during the AM peak hour and that users prefer the charging method based on travelled distance (54.02%). Additionally, the total cost of the manual toll collection (MTC) method is 126,935 JOD. Road pricing can reduce traffic delay (or speed up traffic flow) by 4.61 min in the southbound direction and by 9.52 min in the northbound direction. The optimal toll value is 0.25 JOD (34.08%), with revenues of 1089.6 JOD for 2024 and 1122.6 JOD for 2025. Eventually, applying road pricing on the airport road is shown to be effective and economically feasible only when using the manual method. Full article
(This article belongs to the Special Issue Sustainable Transportation and Traffic Psychology)
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<p>Research methodology at Airport Road.</p>
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<p>Aerial photography of Amman City with the two sections along the Airport Highway, from the Foreign Ministry through Madaba Bridge to Queen Alia Airport (Greater Amman Municipality).</p>
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<p>Toll techniques at Airport Road. (<b>a</b>): Monitoring cameras, (<b>b</b>): toll booths, (<b>c</b>): sign in advance of toll station, (<b>d</b>): pavement markings at the toll point, (<b>e</b>): sign at toll point, (<b>f</b>): automatic toll machine, (<b>g</b>): directional sign, (<b>h</b>): polyvinyl chloride cone, and (<b>i</b>,<b>j</b>): violation cameras.</p>
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<p>The positions of toll booths on Airport Road, indicated with red circles.</p>
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<p>Basic structure of the transport model.</p>
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<p>(<b>a</b>): Southbound traffic flow bundles and (<b>b</b>): northbound traffic flow bundles. (<b>c</b>): VISUM network model for Amman.</p>
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<p>Relationship between speed and fuel consumption [<a href="#B42-sustainability-16-08079" class="html-bibr">42</a>].</p>
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<p>Standard curve between speed and fuel economy [<a href="#B43-sustainability-16-08079" class="html-bibr">43</a>].</p>
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<p>(<b>a</b>): Free flow time in both directions (Southbounad and Northbound) on service and toll roads in the AM peak hour (2012), (<b>b</b>): current time in both directions (Southbounad and Northbound) on service and toll roads in the AM peak hour (2012).</p>
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<p>(<b>a</b>): Details of speed and congestion on the southbound main road in the AM peak hour (2012), (<b>b</b>): details of speed and congestion on the northbound main road in the AM peak hour (2012), (<b>c</b>): details of speed and congestion on the southbound service road (toll) in the AM peak hour (2012), and (<b>d</b>): details of speed and congestion on the northbound service road (toll) in the AM peak hour (2012).</p>
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<p>The number and types of vehicles and the values of revenue in the AM peak hour for all scenarios (2024). * No goods vehicles are using the toll road in either direction.</p>
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<p>(<b>a</b>): Free flow time in both directions (Southbound and Northbound) on the service and toll roads in the AM peak hour (2024), (<b>b</b>): current time in both directions (Southbound and Northbound) on the service and toll road in the AM peak hour (2024).</p>
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<p>(<b>a</b>): Details of speed and congestion on the southbound main road in the AM peak hour (2024), (<b>b</b>): details of speed and congestion on the northbound main road in the AM peak hour (2024), (<b>c</b>): details of speed and congestion on the southbound service road (toll) in the AM peak hour (2024), and (<b>d</b>): details of speed and congestion on the northbound service road (toll) in the AM peak hour (2024).</p>
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<p>(<b>a</b>): Free flow time in both directions on the service and toll roads in the AM peak hour (2025), (<b>b</b>): current time in both directions on the service and toll roads in the AM peak hour (2025).</p>
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<p>(<b>a</b>): Details of speed and congestion on the southbound main road in the AM peak hour (2025), (<b>b</b>): details of speed and congestion on the northbound main road in the AM peak hour (2025), (<b>c</b>): details of speed and congestion on the southbound service road (toll) in the AM peak hour (2025), and (<b>d</b>): details of speed and congestion on the northbound service road (toll) in the AM peak hour (2025).</p>
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<p>The number and types of vehicles and the values of the revenue in the AM peak hour for all scenarios (2025). * No goods vehicles are using the toll road in either direction.</p>
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<p>Regression Model for Average Annual Income Prediction. Source: Department of Statistics.</p>
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18 pages, 2604 KiB  
Article
Cookies Fortified with Clitoria ternatea Butterfly Pea Flower Petals: Antioxidant Capacity, Nutritional Composition, and Sensory Profile
by Ribi Ramadanti Multisona, Kamila Myszka, Bartosz Kulczyński, Marcellus Arnold, Anna Brzozowska and Anna Gramza-Michałowska
Foods 2024, 13(18), 2924; https://doi.org/10.3390/foods13182924 - 15 Sep 2024
Viewed by 264
Abstract
This study aimed to fortify cookies to be functional food by adding Clitoria ternatea flower (CT) at concentrations ranging from 0 to 8%. Sensory profiling identified 6% CT as optimal for organoleptic attributes. The addition of CT did not significantly impact protein, lipid, [...] Read more.
This study aimed to fortify cookies to be functional food by adding Clitoria ternatea flower (CT) at concentrations ranging from 0 to 8%. Sensory profiling identified 6% CT as optimal for organoleptic attributes. The addition of CT did not significantly impact protein, lipid, and ash content but decreased energy value and increased insoluble and soluble fibre levels. The inclusion of 6% CT had a significant effect on the overall total phenolic content (TPC), which increased compared to the control sample. Antioxidative activity analyses showed enhanced antioxidative activity in ABTS, DPPH, ORACFL, and PCL assays. The addition of 6% CT inhibited hydroperoxide production in cookies. However, over a period of 6 weeks, a significant rise in peroxide value was observed during the 4th and 6th weeks of storing fortified cookies. All assessed products met the high microbiological quality standards. The sensory evaluation scores showed that CT can create cookies with health benefits and a good overall acceptance score. The texture of the cookies gradually became softer, but no significant changes in visual appearance were observed. CT can be extensively used in baked cookies as a rich source of polyphenols with strong antioxidant properties and high fibre content, as well as a fortification source for the development of functional foods. Full article
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<p>Radar plots of sensory evaluation of fresh cookies in different concentrations of CT.</p>
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<p>Overall acceptability of organoleptic characteristics of fresh cookies in different concentrations of CT.</p>
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<p>The appearance of cookies control, 2%, 4%, 6%, and 8% of CT flower.</p>
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<p>Total phenolics content and antioxidative activity with CT.</p>
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<p>Sensory profiling of control sample during 6 weeks of storage.</p>
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<p>Sensory profiling of sample with 6% CT flower during 6 weeks of storage.</p>
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13 pages, 4143 KiB  
Article
Study of Ion-to-Electron Transducing Layers for the Detection of Nitrate Ions Using FPSX(TDDAN)-Based Ion-Sensitive Electrodes
by Camille Bene, Adrian Laborde, Morgan Légnani, Emmanuel Flahaut, Jérôme Launay and Pierre Temple-Boyer
Sensors 2024, 24(18), 5994; https://doi.org/10.3390/s24185994 (registering DOI) - 15 Sep 2024
Viewed by 231
Abstract
The development of ISE-based sensors for the analysis of nitrates in liquid phase is described in this work. Focusing on the tetradodecylammonium nitrate (TDDAN) ion exchanger as well as on fluoropolysiloxane (FPSX) polymer-based layers, electrodeposited matrixes containing double-walled carbon nanotubes (DWCNTs), embedded in [...] Read more.
The development of ISE-based sensors for the analysis of nitrates in liquid phase is described in this work. Focusing on the tetradodecylammonium nitrate (TDDAN) ion exchanger as well as on fluoropolysiloxane (FPSX) polymer-based layers, electrodeposited matrixes containing double-walled carbon nanotubes (DWCNTs), embedded in either polyethylenedioxythiophene (PEDOT) or polypyrrole (PPy) polymers, ensured improved ion-to-electron transducing layers for NO3 detection. Thus, FPSX-based pNO3-ElecCell microsensors exhibited good detection properties (sensitivity up to 55 mV/pX for NO3 values ranging from 1 to 5) and acceptable selectivity in the presence of the main interferent anions (Cl, HCO3, and SO42−). Focusing on the temporal drift bottleneck, mixed results were obtained. On the one hand, relatively stable measurements and low temporal drifts (~1.5 mV/day) were evidenced on several days. On the other hand, the pNO3 sensor properties were degraded in the long term, being finally characterized by high response times, low detection sensitivities, and important measurement instabilities. These phenomena were related to the formation of some thin water-based layers at the polymer–metal interface, as well as the physicochemical properties of the TDDAN ion exchanger in the FPSX matrix. However, the improvements obtained thanks to DWCNT-based ion-to-electron transducing layers pave the way for the long-term analysis of NO3 ions in real water-based solutions. Full article
(This article belongs to the Special Issue Electrochemical Sensors for Detection and Analysis)
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<p>Development of silicon-based technologies for the mass fabrication of the (Pt - Pt - Pt/Ag/AgCl) electrochemical microcell (ElecCell).</p>
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<p>Integration of ElecCell silicon chips on printed circuit board.</p>
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<p>Drop-casting deposition of a fluoropolysiloxane-based nitrate ion-sensitive layer on the platinum-based modified ultramicroelectrode array used as a working electrode.</p>
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<p>Mechanistic scheme of the Pt/IETL/FPSX(TDDAN)/electrolyte NO<sub>3</sub><sup>−</sup>-sensitive structure.</p>
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<p>Optical images of the different ion-to-electron transducing layers: (<b>a</b>) PEDOT:PSS, (<b>b</b>) PEDOT:DWCNTs, (<b>c</b>) PPy:DWCNTs.</p>
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<p>SEM images of the different IETL layers (general view (<b>top</b>) and detail (<b>bottom</b>)): (<b>a</b>) PEDOT:PSS, (<b>b</b>) PEDOT:DWCNTs, (<b>c</b>) PPy:DWCNTs.</p>
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<p>Evolution of the open-circuit potential of pNO<sub>3</sub>-ElecCell for different KNO<sub>3</sub> solutions: (<b>a</b>) without ion-to-electron transducers, (<b>b</b>) PEDOT:PSS, (<b>c</b>) PEDOT:DWCNTs, (<b>d</b>) PPy:DWCNTs.</p>
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<p>Analytical responses of the different pNO<sub>3</sub>-ElecCell devices.</p>
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<p>pNO<sub>3</sub>-ElecCell analytical response in the presence of various interfering ions: (<b>a</b>) Pt/PEDOT:DWCNT/FPSX(TDDAN) structure, (<b>b</b>) Pt/PPy:DWCNT/FPSX(TDDAN) structure.</p>
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27 pages, 9433 KiB  
Article
Pyrolysis and Physicochemical, Thermokinetic and Thermodynamic Analyses of Ceiba aesculifolia (Kunth) Britt and Baker Waste to Evaluate Its Bioenergy Potential
by José Juan Alvarado Flores, Luis Fernando Pintor Ibarra, Fernando Daniel Mendez Zetina, José Guadalupe Rutiaga Quiñones, Jorge Víctor Alcaraz Vera and María Liliana Ávalos Rodríguez
Molecules 2024, 29(18), 4388; https://doi.org/10.3390/molecules29184388 (registering DOI) - 15 Sep 2024
Viewed by 310
Abstract
Ceiba aesculifolia is an important species in Mexico that generates significant amounts of biomass waste during its exploitation, which can be utilized to produce energy. This study presents the characterization of this waste based on chemical (proximal and elemental) and thermal analyses (TGA-DTG) [...] Read more.
Ceiba aesculifolia is an important species in Mexico that generates significant amounts of biomass waste during its exploitation, which can be utilized to produce energy. This study presents the characterization of this waste based on chemical (proximal and elemental) and thermal analyses (TGA-DTG) at different heating rates (β = 10–30 °C/min (283–303 K/min)) in the presence of nitrogen and in a temperature range of 25–900 °C. Kinetic parameters were calculated and analyzed as well. Activation energy (Ea) and the pre-exponential factor (A) were determined using the Friedman (132.03 kJ/mol, 8.11E + 10 s −1), FWO (121.65 kJ/mol, 4.30E + 09), KAS (118.14 kJ/mol, 2.41E + 09), and Kissinger (155.85 kJ/mol, 3.47E + 11) kinetic methods. Variation in the reaction order, n (0.3937–0.6141), was obtained by Avrami’s theory. We also calculated the thermodynamic parameters (ΔH, ΔG, ΔS) for each kinetic method applied. The results for Ea, A, n, ΔH, ΔG, and ΔS show that this biomass waste is apt for use in pyrolysis. Moreover, the moisture (<10%), ash (<2%), volatile material (>80%), and HHV (>19%) contents of C. aesculifolia allowed us to predict acceptable performance in generating energy and fuels. Finally, infrared spectroscopy analysis (FT-IR) allowed us to identify important functional groups, including one that belongs to the family of the aliphatic hydrocarbons. Full article
(This article belongs to the Special Issue Lignocellulosic Biomass III)
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<p>Generation of high-value-added products from biomass.</p>
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<p>Basic chemical composition of <span class="html-italic">C. aesculifolia</span> wood.</p>
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<p>TGA-DTG test of <span class="html-italic">C. aesculifolia</span> for five heating rates.</p>
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<p>Regression lines to apparent activation energy proposed by Friedman (<b>a</b>), Flynn–Wall–Ozawa (FWO) (<b>b</b>), Kissinger–Akahira–Sunose (KAS) (<b>c</b>), and Kissinger (<b>d</b>) method free plots at the different heating rates for <span class="html-italic">C. aesculifolia</span> biomass.</p>
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<p>Regression lines to apparent activation energy proposed by Friedman (<b>a</b>), Flynn–Wall–Ozawa (FWO) (<b>b</b>), Kissinger–Akahira–Sunose (KAS) (<b>c</b>), and Kissinger (<b>d</b>) method free plots at the different heating rates for <span class="html-italic">C. aesculifolia</span> biomass.</p>
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<p>Regression lines to reaction order (<span class="html-italic">n</span>) proposed by Avrami’s theory.</p>
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<p>FT-IR spectra of <span class="html-italic">C. aesculifolia</span>.</p>
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<p>Geographic location of <span class="html-italic">C. aesculifolia</span>.</p>
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<p>Equipment for thermogravimetric analysis (<b>a</b>), nitrogen tanks used in the experiment (<b>b</b>) and heating ramp used (<b>c</b>).</p>
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<p>General biomass pyrolysis process.</p>
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<p>Mathematical method to determine the kinetic parameters of <span class="html-italic">C. aesculifolia</span>.</p>
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<p>Equations for the determination of thermodynamic parameters, where <span class="html-italic">E<sub>a</sub></span> is the activation energy, <span class="html-italic">R</span> is the ideal gas constant, <span class="html-italic">T<sub>α</sub></span> is the temperature according to the degree of conversion, <span class="html-italic">T<sub>m</sub></span> is the temperature at the maximum peak of the DTG, <span class="html-italic">K<sub>B</sub></span> is the Boltzmann constant (1.381E-23 J/K), <span class="html-italic">h</span> is Planck’s constant (6.626E-34 J.s), and β is the heating rate (15 °C/min).</p>
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