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Search Results (1,583)

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18 pages, 6465 KiB  
Article
Dynamics Changes in Physicochemical Properties, Antioxidant Activity, and Non-Volatile Metabolites During Bulang Pickled Tea Fermentation
by Jinping Zhou, Laifeng Chen, Fan Zhang, Hooiling Foo, Zhenhui Cao and Qiuye Lin
Foods 2025, 14(5), 878; https://doi.org/10.3390/foods14050878 - 4 Mar 2025
Viewed by 235
Abstract
The present study investigated the dynamics changes in physicochemical properties and non-volatile metabolites during Bulang pickled tea fermentation. A combination of artificial sensory evaluation, chemical-physical analysis, ultra performance liquid chromatography coupled with quadrupole/time-of-flight mass spectrometry (UPLC-QTOF-MS), and multivariate statistical analysis were employed to [...] Read more.
The present study investigated the dynamics changes in physicochemical properties and non-volatile metabolites during Bulang pickled tea fermentation. A combination of artificial sensory evaluation, chemical-physical analysis, ultra performance liquid chromatography coupled with quadrupole/time-of-flight mass spectrometry (UPLC-QTOF-MS), and multivariate statistical analysis were employed to examine the differences among four fermentation stages of Bulang pickled tea. The bitterness, astringency, sweetness after taste, sourness and fermentation taste tended to increase with fermentation. The highest lactic acid bacteria, aerobic bacteria, total titratable acidity, total soluble sugar, total polyphenols, and total flavonoids were recorded at the second month of fermentation, while fungi, total free amino acids, total antioxidant capacity and hydroxyl free radical scavenging capacity increased with fermentation. Mantel test demonstrated significant associations between lactic acid bacteria /fungal communities and taste characteristics. UPLC-QTOF-MS analysis led to the identification of 35 differential non-volatile metabolites, predominantly comprising heterocyclic compounds, organic acids with their derivatives, and flavonoids. Nine non-volatile metabolites are related to antioxidant activity, and morin, malvidin and 7-methylxanthine exhibit relatively strong antioxidant activity. This study provides comprehensive insights into the non-volatile metabolites and antioxidant function of Bulang pickled tea. Full article
(This article belongs to the Section Food Biotechnology)
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<p>Changes in taste characteristics of Bulang pickled tea during fermentation. (Note: (<b>A</b>) appearance of dry teas, tea infusions, and brewed tea leaves; (<b>B</b>) radar plot of the taste properties).</p>
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<p>Count results of culturable microbes. (Note: The difference letters indicate significant differences between tea samples fermented with different durations (<span class="html-italic">p</span> &lt; 0.05)).</p>
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<p>Changes in chemical contents of Bulang pickled tea during fermentation. (Note: (<b>A</b>) variations in pH and total titratable acidity (TTA); (<b>B</b>) content of total soluble sugar (TSS), soluble protein (SP), and total free amino acid (TFAA); (<b>C</b>) total phenol (TP) and total flavonoid (TF) contents. The results were expressed as mean values ± standard deviation. The difference letters indicate significant differences between tea samples fermented with different duration (<span class="html-italic">p</span> &lt; 0.05)).</p>
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<p>Changes in the antioxidant activity of Bulang pickled tea during fermentation. (Note: (<b>A</b>) ABTS and DPPH-free radical scavenging ability; (<b>B</b>) T-AOC and hydroxyl-free radical scavenging ability).</p>
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<p>Mantel test analysis of culturable microbes, taste, physiochemical, and antioxidant measures. (Note: The lines represented the correlation, and the thickness of the lines represented the magnitude of the correlation, which was drawn with mantel ’r (absolute value of r). The heat map represents the correlation between chemicals and antioxidant activity; Pearson correlation coefficient ranges from −1 to 1; r &lt; 0 is negative correlation; r &gt; 0 is positive correlation. * indicates a significant difference, * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001, **** <span class="html-italic">p</span> ≤ 0.0001).</p>
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<p>Analysis of changes in non-volatile metabolites. (Note: (<b>A</b>) PCA score chart of non-volatile metabolites; (<b>B</b>) differential metabolite peak area map; (<b>C</b>) differential metabolite heat map. MW0116757 means “1-[(3,5-Dimethyl-1,2-oxazol-4-yl) sulfonyl] piperidine-4-carboxylic acid”; MW0136221 means “6-(2-[6-carboxy-5-(2,4-dihydroxyphenyl)-3-methylcyclohex-2-en-1-yl]-3-hydroxy-5-[6-hydroxy-7-(3-methylbut-2-en-1-yl)-1-benzofuran-2-yl] phenoxy)-3,4,5-trihydroxyoxane-2-carboxylic acid”; QC means Quality Control Samples).</p>
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<p>Correlation map of taste characteristics and antioxidant activity. (Note: MW0116757 means “1-[(3,5-Dimethyl-1,2-oxazol-4-yl) sulfonyl] piperidine-4-carboxylic acid”; MW0136221 means “6-(2-[6-carboxy-5-(2,4-dihydroxyphenyl)-3-methylcyclohex-2-en-1-yl]-3-hydroxy-5-[6-hydroxy-7-(3-methylbut-2-en-1-yl)-1-benzofuran-2-yl] phenoxy)-3,4,5-trihydroxyoxane-2-carboxylic acid”. The color of the circle indicates the correlation coefficient, and the size of the circle indicates statistical difference. The red color circle indicates positive (0 ≤ r ≤ 1) correlation, and the blue color circle indicates negative (−1 ≤ r ≤ 0) correlation).</p>
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24 pages, 1531 KiB  
Article
The Potential of Environmental Non-Saccharomyces Yeast to Valorise Apple Pomace During Low-Temperature Fermentation
by Wiktoria Liszkowska, Ilona Motyl, Katarzyna Pielech-Przybylska, Julia Dzierżanowska, Sara Motyl and Joanna Berlowska
Appl. Sci. 2025, 15(5), 2726; https://doi.org/10.3390/app15052726 - 4 Mar 2025
Viewed by 129
Abstract
It is estimated that approximately 25% of waste remains after the apple juice pressing process. Combining this waste biomass with valuable compounds creates the potential for reuse. To create a cost-efficient ecological process without any expensive steps, the aim of this research was [...] Read more.
It is estimated that approximately 25% of waste remains after the apple juice pressing process. Combining this waste biomass with valuable compounds creates the potential for reuse. To create a cost-efficient ecological process without any expensive steps, the aim of this research was to examine the potential of using non-Saccharomyces yeasts (Kazachstania barnettii D1, Hanseniaspora uvarum D9, and Wickerhamomyces anomalus D11) for the low-temperature valorisation of apple pomace. The scope encompassed characteristics of apple pomace and the evaluation of yeast growth and metabolic activity, including carbohydrate consumption, enzymatic activity, and the biosynthesis of volatile organic compounds. Moreover, the effect of inoculum size on biomass increases and the productivity of metabolites during the fermentation of apple pomace were evaluated. To investigate the potential intensification of the process, the experiment was performed on hydrolysed and untreated apple pomace. The obtained results indicate that yeast growth was satisfactory regardless of the inoculum size in both fermentation media. Various activities of peptidases, esterases, phosphatases, and glucosidases were observed. The yeast isolates presented metabolic activity during the process which was confirmed by the production of ethanol and acetic acid. Moreover, a significant amount of volatile organic compounds, especially esters, were synthesised, which have a positive impact on the sensory profile of fermented apple pomace. In general, the hydrolysis of apple pomace did not result in better yeast activity and the formation of aroma compounds. Full article
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<p>Degree of liquidity of apple pomace treated with various combinations of hydrolytic enzymes. Abbreviations are as defined in <a href="#applsci-15-02726-t001" class="html-table">Table 1</a>.</p>
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<p>CFU/mL values of examined yeast strains before and after fermentation of untreated and hydrolysed apple pomace. Abbreviations: 1%, 5%, and 10% refer to samples with various inoculation levels; “AP” refers to apple pomace untreated with enzymes; “H-AP” refers to hydrolysed apple pomace treated with 0.25 mL of Viscozyme<sup>®</sup> and 0.25 mL of Rohament<sup>®</sup> CL enzymes.</p>
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<p>The carbohydrate contents in apple pomace samples before and after fermentation. Abbreviations: “Initial” refers to the carbohydrate content before the fermentation process; 1%, 5%, and 10% refer to samples with various inoculation levels; “AP” refers to yeast cultured with apple pomace untreated with enzymes; “H-AP” refers to yeast cultured with hydrolysed apple pomace treated with 0.25 mL of Viscozyme<sup>®</sup> and 0.25 mL of Rohament<sup>®</sup> CL enzymes.</p>
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18 pages, 1744 KiB  
Article
Comprehensive Comparison of the Nutrient and Phytochemical Compositions and Antioxidant Activities of Different Kiwifruit Cultivars in Korea
by Jong-Bin Jeong, Du-Yong Cho, Hee-Yul Lee, Ae-Ryeon Lee, Ga-Yong Lee, Mu-Yeun Jang, Ki-Ho Son and Kye-Man Cho
Plants 2025, 14(5), 757; https://doi.org/10.3390/plants14050757 - 1 Mar 2025
Viewed by 196
Abstract
Kiwifruit is widely recognized for its rich nutritional composition and potential health benefits, yet comparative studies on different cultivars remain limited. In this study, we investigated the physicochemical properties, free sugar and organic acid content, and bioactive compounds in four kiwifruit cultivars: Hayward [...] Read more.
Kiwifruit is widely recognized for its rich nutritional composition and potential health benefits, yet comparative studies on different cultivars remain limited. In this study, we investigated the physicochemical properties, free sugar and organic acid content, and bioactive compounds in four kiwifruit cultivars: Hayward (HW), Halla Gold (HG), Jecy Gold (JG), and Sweet Gold (SG). This study aimed to determine variations in the composition of these cultivars and assess their antioxidant potential. The pH did not significantly differ among the kiwifruit cultivars. Sweetness and acidity are key sensory attributes in fruit, and SG exhibited the highest acidity, soluble solid content, and reducing sugar content. Accordingly, SG had the highest free sugar (11.25 g/100 mL) and organic acid (13.08 g/100 mL) levels. Phenolic acid (473.01 μg/mL) and flavonol (96.43 μg/mL) contents were most abundant in SG. In this cultivar, chlorogenic acid and epigallocatechin levels were the highest, while epicatechin and naringenin were detected only in SG. Finally, antioxidant activities (i.e., DPPH, ABTS, and hydroxyl radical scavenging activities and FRAP) were highest in SG, followed by HG, JG, and HW. The SG cultivar used in this study exhibits strong antioxidant activity, disease-suppressing effects, skin protection properties, and the potential to reduce the risk of chronic diseases due to its high phenolic compound content. These findings suggest that SG, which possesses excellent taste and functional properties, may serve as a promising candidate for the development of high-quality kiwifruit-based products. Full article
(This article belongs to the Section Phytochemistry)
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<p>PCA plot and heatmap showing correlations between phenolic acid and flavonol contents of different kiwifruit cultivars. (<b>A</b>) PCA plot and heatmap of primary metabolites, (<b>B</b>) PCA plot and heatmap of secondary metabolites. Kiwifruit cultivars: HW, Hayward; HG, Halla Gold; JG, Jecy Gold; and SG, Sweet Gold.</p>
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<p>Comparison of the antioxidant activities of different kiwifruit cultivars. (<b>A</b>) DPPH radical scavenging activity, (<b>B</b>) ABTs radical scavenging activity, (<b>C</b>) hydroxyl radical scavenging activity, (<b>D</b>) ferric reducing/antioxidant power (FRAP) assay. Kiwifruit cultivars: HW, Hayward; HG, Halla Gold; JG, Jecy Gold; and SG, Sweet Gold. All values are presented as the mean ± SD of triplicate determination, and different small letters correspond to the significant differences relating to the same row using Tukey’s multiple tests (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Pearson correlation coefficients between phenolic acids and flavonols analyzed in different kiwifruit cultivars and DPPH, ABTS, hydroxyl radical scavenging activity, and FRAP. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; and ***, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Photograph of four cultivars of kiwi fruits and their derived juices. Photograph of the fruits: National Institute of Horticultural Science and Herbal Medicine, Rural Development Administration, Jeonju-si, Jeollabuk-do, Republic of Korea. Photograph of the juices: provided by our laboratory, Jinju-si, Gyeongsangnam-do, Republic of Korea. Kiwifruit cultivars: (<b>A</b>) Hayward; (<b>B</b>) Halla Gold; (<b>C</b>) Jecy Gold; and (<b>D</b>) Sweet Gold.</p>
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15 pages, 887 KiB  
Article
Natural Appetite Control: Food-Derived Aromas as Appetite Decreasing Agents—A Proof-of-Concept Study
by Michaela Godyla-Jabłoński, Natalia Pachura, Marta Klemens, Julia Wolska and Jacek Łyczko
Nutrients 2025, 17(5), 819; https://doi.org/10.3390/nu17050819 - 27 Feb 2025
Viewed by 329
Abstract
Background and Objective: The global population is struggling with significant health challenges, among which overweight and obesity stand out. Currently, 61% of adults and 7.5% of children and adolescents are affected, underscoring the urgent need for effective solutions. This study evaluated appetite-reducing prototypes [...] Read more.
Background and Objective: The global population is struggling with significant health challenges, among which overweight and obesity stand out. Currently, 61% of adults and 7.5% of children and adolescents are affected, underscoring the urgent need for effective solutions. This study evaluated appetite-reducing prototypes related with food products, focusing on their ability to influence appetite through the sense of smell. The objective was to determine the effectiveness of these prototypes and identify the most promising candidates for further research. Methods: A questionnaire-based consumer survey was performed for six appetite-reducing agents. Forty-five participants with elevated body mass index values (BMI ≥ 25) were asked to verify the samples in terms of aroma intensity, pleasure, and potential for appetite reduction. Also, qualitative parameters such as the identification of the samples’ food associations was performed within the questionnaire. The questionnaire results were further compared with headspace solid-phase microextraction (HS-SPME Arrow) analysis results to identify volatile organic compounds associated with appetite-reducing properties. Results: The proof-of-concept study revealed that prototypes with unpleasant and irritating aromas demonstrated the highest appetite-reducing potential, scoring approximately 24 out of 35 points. Conversely, prototypes with pleasant, dessert-like aromas showed lower effectiveness, scoring between 14 and 18 points. Conclusions: By linking consumer perceptions to chemical analyses, we identified effective prototypes for further investigation, including studies measuring actual food intake. These findings contribute to developing innovative, non-invasive strategies to address overweight and obesity, offering a new dimension to appetite control through sensory modulation. Full article
(This article belongs to the Section Nutrition and Obesity)
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<p>HCA results of sample classification based on the scoring questions (Q1: “How do you generally like the scent of this sample?”, Q2: “How do you rate the intensity of the scent of this sample?”, Q2*: “The scent is?”, Q3: “Does the presented scent remind you of an appetizing meal and/or food?”, Q4: “Does the scent of this sample evoke a sense of contentment and/or state of being secure for you?”, and Q5: “Please indicate to what extent the scent of this sample could reduce your appetite”). Applied for sample classification, Sneath’s criterion (33%) has been marked with red vertical line. x-axis represents the similarity index of the samples and x-axis represents the samples. The HCA classification showed that the appetite-reducing agents, due to the consumer evaluation, could be divided for six groups, where only H090 and S005 samples were classified commonly. The control sample (L368) presented a fully separate group. Data were based on responses of 45 consumers with BMI ≥ 25. HCA: hierarchical cluster analysis; BMI: body mass index.</p>
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<p>Heatmap illustrating the distribution of points awarded by consumers (45 individuals with BMI ≥ 25). The heatmap was created based on standardized (through the statistical software algorithm) data to reduce the impacts of the different scoring scales used for questions. Therefore, despite the differences in scoring scales, the applied color spectrum used is consistent. In the color legend provided, the green shades represent the lowest scores, the yellow shades the moderate scores, and the red shades the highest scores. The green shades are related to preferable parameters. The raw numbers and standardization matrix can be found in <a href="#app1-nutrients-17-00819" class="html-app">Supplementary Materials section on statistical assumptions, Table S8</a>. x-axis and y-axis represent the plotted variables; x-axis shows questions; y-axis shows samples. The heatmap highlights the similarities between F699 and X034 samples, the similarities between samples D418 and R789, and the similarities between samples H090 and S005. The control sample (L368) shows the separate characteristics.</p>
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<p>Evaluation of appetite-reducing agents by consumers with obesity (26 individuals with BMI &gt; 30) in terms of sample pleasurable aroma and appetite reduction. Values followed by the same letters (a, b, c, or d) were not statistically different in Tukey’s HSD within the data series. Samples D418 and R789 received significantly lower scoring than other samples in terms of the aroma pleasure; however, that resulted in significantly higher potential to reduce appetite. Sample X034 showed fully reversed tendency. Samples F699, H090, and S005 demonstrated moderate results for pleasure of aroma and potential to reduce appetite.</p>
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<p>Evaluation of appetite-reducing agents by overweight consumers (19 individuals with 25 ≤ BMI ≥ 30) in terms of sample pleasurable aroma and appetite reduction. Values followed by the same letters (a, b, c, or d) were not statistically different in Tukey’s HSD within the data series. Samples D418 and R789 received significantly lower scoring than other samples in terms of the aroma pleasure; however, that resulted in significantly higher potential to reduce appetite. Sample X034 showed fully reversed tendency. Samples F699, H090, and S005 demonstrated moderate results for pleasure of aroma and potential to reduce appetite.</p>
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14 pages, 693 KiB  
Article
Multimodal Morphometric Similarity Network Analysis of Autism Spectrum Disorder
by Antonio Del Casale, Darvin Shehu, Maria Camilla Rossi-Espagnet, Clarissa Zocchi, Irene Bilotta, Jan Francesco Arena, Alessandro Alcibiade, Barbara Adriani, Daniela Longo, Carlo Gandolfo, Andrea Romano, Stefano Ferracuti, Alessandro Bozzao and Antonio Napolitano
Brain Sci. 2025, 15(3), 247; https://doi.org/10.3390/brainsci15030247 - 26 Feb 2025
Viewed by 214
Abstract
Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent difficulties in social interaction, communication, and repetitive behaviors. Neuroimaging studies have revealed structural and functional neural changes in individuals with ASD compared to healthy subjects. Objectives: This study aimed [...] Read more.
Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent difficulties in social interaction, communication, and repetitive behaviors. Neuroimaging studies have revealed structural and functional neural changes in individuals with ASD compared to healthy subjects. Objectives: This study aimed to investigate brain network structural connectivity in ASD using Morphometric Similarity Network (MSN) analysis. Methods: Data from the Autism Brain Imaging Data Exchange (ABIDE) were analyzed, comprising 597 individuals with ASD and 644 healthy controls. Structural connectivity was assessed using cortical morphometric features. Global and regional network indices, including the density index, node degree, node strength, and clustering coefficients, were evaluated. Results: Among the global network indices, when using a threshold value of 0.4, ASD patients compared to HCs showed a lower density (p = 0.041) and higher negative clustering (p = 0.0051) coefficients. For regional network indices, ASD patients showed a lower bilateral superior frontal cortices degree (left hemisphere: p = 0.014; right hemisphere: p = 0.0038) and strength (left: p = 0.017; right: p = 0.018). Additionally, they showed higher negative clustering coefficients in the bilateral superior frontal cortices (left, p = 0.0088; right, p = 0.0056) and bilateral pars orbitalis (left, p = 0.016; right, p = 0.0006), as well as lower positive clustering in the bilateral frontal pole (left, p = 0.03; right, p = 0.044). Conclusions: These findings highlight significant alterations in both global and regional brain network organization in ASD, which may contribute to the disorder’s cognitive and behavioral manifestations. Future studies are needed to investigate the pathophysiological mechanisms underlying these structural connectivity changes, to inform the development of more targeted and individualized therapeutic interventions for individuals with ASD. Full article
(This article belongs to the Special Issue Multimodal Imaging in Brain Development)
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<p>Boxplots representing statistically significant between-groups differences in global and regional brain network indices. Legend: ASDpts = ASD patients; C<sub>i</sub><sup>−</sup> = negative clustering coefficient; C<sub>i</sub><sup>+</sup> = positive clustering coefficient; D = density index; D<sub>i</sub> = node degree; HCs = healthy controls; SFC = superior frontal cortex; Sn<sub>i</sub> = node strength.</p>
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16 pages, 3509 KiB  
Article
Uncovering the Differences in Flavour Volatiles from Hybrid and Conventional Foxtail Millet Varieties Based on Gas Chromatography–Ion Migration Spectrometry and Chemometrics
by Zhongxiao Yue, Ruidong Zhang, Naihong Feng and Xiangyang Yuan
Plants 2025, 14(5), 708; https://doi.org/10.3390/plants14050708 - 26 Feb 2025
Viewed by 215
Abstract
The flavour of foxtail millet (Setaria italica (L.) P. Beauv.) is an important indicator for evaluating the quality of the millet. The volatile components in steamed millet porridge samples were analysed using electronic nose (E-Nose) and gas chromatography–ion mobility spectrometry (GC-IMS) techniques, [...] Read more.
The flavour of foxtail millet (Setaria italica (L.) P. Beauv.) is an important indicator for evaluating the quality of the millet. The volatile components in steamed millet porridge samples were analysed using electronic nose (E-Nose) and gas chromatography–ion mobility spectrometry (GC-IMS) techniques, and characteristic volatile fingerprints were constructed to clarify the differences in the main flavour substances in different foxtail millet varieties (two hybrids and two conventional foxtail millets). After sensory evaluation by judges, Jingu 21 (JG) scored significantly higher than the other varieties, and the others were, in order, Jinmiao K1 (JM), Changzagu 466 (CZ) and Zhangzagu 3 (ZZ). E-Nose analysis showed differences in sulphides and terpenoids, nitrogen oxides, organosulphides and aromatic compounds in different varieties of millet porridge. A total of 59 volatile components were determined by GC-IMS in the four varieties of millet porridge, including 23 aldehydes, 17 alcohols, 9 ketones, 4 esters, 2 acids, 3 furans and 1 pyrazine. Comparative analyses of the volatile components in JG, JM, ZZ and CZ revealed that the contents of octanal, nonanal and 3-methyl-2-butenal were higher in JG; the contents of trans-2-butenal, 2-methyl-1-propanol, trans-2-heptenal and trans-2-pentenal were higher in JM; and the contents of 2-octanone, hexanol, 1-octen-3-ol, 2-pentanone and butyraldehyde were higher in ZZ. The contents of 2-butanol, propionic acid and acetic acid were higher in CZ. A prediction model with good stability was established by orthogonal partial least squares discriminant analysis (OPLS-DA), and 25 potential characteristic markers (VIP > 1) were screened out from 59 volatile organic compounds (VOCs). These volatile components can be used to distinguish the different varieties of millet porridge samples. Moreover, we found conventional foxtail millet contained more aldehydes than the hybridised foxtail millet; especially decanal, 1-nonanal-D, heptanal-D, 1-octanal-M, 1-octanal-D and 1-nonanal-M were significantly higher in JG than in the other varieties. These results indicate that the E-Nose combined with GC-IMS can be used to characterise the flavour volatiles of different foxtail millet, and the results of this study may provide some information for future understanding of the aroma characteristics of foxtail millet and the genetic improvement of hybrid grains. Full article
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<p>E-Nose sensor response radar plot (<b>A</b>) and principal component score plot (<b>B</b>) of sample foxtail millets. Notes: W1C responds to aromatic compounds, W5S to nitrogen oxides, W3C to amines and aromatic compounds, W6S to hydrides, W5C to alkanes and aromatic compounds, W1S to methane, W1W to sulphides and terpenes, W2S to alcohols and certain aromatic compounds, W2W to organic sulphides and aromatic compounds and W3S to alkanes.</p>
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<p>Three-dimensional topographic (<b>A</b>), two-dimensional spectra of volatile components (<b>B</b>) and contrast maps (<b>C</b>) of GC-IMS in different varieties of foxtail millet (JG, JM, ZZ and CZ). The red colour indicates the signal intensity, and each spot denotes one specific volatile component.</p>
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<p>Fingerprints of flavour-imparting organic chemicals in four foxtail millet varieties.</p>
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<p>Comparison of volatile components in different foxtail millet varieties by PCA score plot.</p>
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<p>OPLS-DA scatter plot (<b>A</b>) and trans-verifications by a rearrangement trial (<b>B</b>) of odour profiles in four foxtail millet varieties.</p>
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<p>Sieving of differential volatile compounds in four foxtail millet varieties after cooking. (<b>A</b>) VIP distribution, (<b>B</b>) PCA scatter map, (<b>C</b>) clustering heat map.</p>
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52 pages, 16989 KiB  
Review
Dietary Guidance, Sensory, Health and Safety Considerations When Choosing Low and No-Calorie Sweeteners
by John L. Sievenpiper, Sidd Purkayastha, V. Lee Grotz, Margaux Mora, Jing Zhou, Katherine Hennings, Cynthia M. Goody and Kristen Germana
Nutrients 2025, 17(5), 793; https://doi.org/10.3390/nu17050793 - 25 Feb 2025
Viewed by 504
Abstract
The growing global focus on the adverse health conditions associated with excessive sugar consumption has prompted health and policy organizations as well as the public to take a more mindful approach to health and wellness. In response, food and beverage companies have proactively [...] Read more.
The growing global focus on the adverse health conditions associated with excessive sugar consumption has prompted health and policy organizations as well as the public to take a more mindful approach to health and wellness. In response, food and beverage companies have proactively innovated and reformulated their product portfolios to incorporate low and no-calorie sweeteners (LNCSs) as viable alternatives to sugar. LNCSs offer an effective and safe approach to delivering sweetness to foods and beverages and reducing calories and sugar intake while contributing to the enjoyment of eating. The objective of this paper is to enhance the understanding of LNCSs segmentation and definitions, dietary consumption and reduction guidance, front-of-package labeling, taste and sensory perception and physiology, metabolic efficacy and impact, as well as the overall safety of LNCSs and sugar. Full article
(This article belongs to the Special Issue Sugar, Sweeteners Intake and Metabolic Health)
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<p>Schematic for Categorizing Sweeteners.</p>
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<p>Front-of-package labels around the world. Reprinted with permission from the Global Research Program at UNC-Chapel Hill.</p>
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<p>Sweet taste receptor protein and potential binding sites for sweet tasting molecules. Molecules can bind to the Venus flytrap, cysteine-rich, or transmembrane domains of the T1R2 or T1R3 to initiate sweet taste signaling. Figure created using <a href="http://biorender.com" target="_blank">biorender.com</a>.</p>
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<p>Pooled direct, indirect, and network effect estimates of the effect of the substitution of NNSBs for SSBs (“Intended substitution”) on established intermediate cardiometabolic outcomes. Reproduced from McGlynn et al. [<a href="#B152-nutrients-17-00793" class="html-bibr">152</a>] under the terms of an open access CC-BY license.</p>
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<p>Pooled analyses of estimates of the association of the substitution of NNSBs for SSBs (“Intended substitution”) with clinical cardiometabolic outcomes. Reproduced from Lee et al. [<a href="#B160-nutrients-17-00793" class="html-bibr">160</a>] with permission from the American Diabetes Association.</p>
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23 pages, 829 KiB  
Review
Endometriosis in Adolescence: A Narrative Review of the Psychological and Clinical Implications
by Fabiola Panvino, Roberto Paparella, Francesco Pisani, Francesca Tarani, Giampiero Ferraguti, Marco Fiore, Ignazio Ardizzone and Luigi Tarani
Diagnostics 2025, 15(5), 548; https://doi.org/10.3390/diagnostics15050548 - 24 Feb 2025
Viewed by 150
Abstract
Endometriosis is a chronic, inflammatory condition where endometrial-like tissue grows outside the uterus, affecting around 10% of women of reproductive age. This condition is associated with debilitating symptoms, including dysmenorrhea, dyspareunia, chronic pelvic pain, fatigue, and infertility. Adolescents with endometriosis face unique challenges, [...] Read more.
Endometriosis is a chronic, inflammatory condition where endometrial-like tissue grows outside the uterus, affecting around 10% of women of reproductive age. This condition is associated with debilitating symptoms, including dysmenorrhea, dyspareunia, chronic pelvic pain, fatigue, and infertility. Adolescents with endometriosis face unique challenges, as the disease is often misdiagnosed or undiagnosed for an average of 7–10 years due to its complex and multifactorial nature. Consequently, patients frequently suffer from worsening symptoms and significant psychological distress, including anxiety, depression, and social withdrawal. While there is no definitive cure for endometriosis, treatment approaches typically involve hormonal therapies, lifestyle adjustments (such as diet and exercise), and psychological support. Recent studies emphasize the profound impact of endometriosis on the mental health of adolescents, highlighting the need for a more holistic treatment approach that integrates both medical and psychological care. This narrative review explores the psychological and psychosocial effects of endometriosis in adolescents, examining the biological and psychological mechanisms linking the disease to mental health outcomes. It also discusses current therapeutic strategies, such as cognitive behavioral therapy, mindfulness, and peer support, and underscores the importance of early diagnosis and multidisciplinary care to mitigate both the physical and emotional burdens of the condition. This integrated approach is critical in improving the overall well-being and quality of life for adolescents living with endometriosis. Full article
(This article belongs to the Section Pathology and Molecular Diagnostics)
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<p>A visual representation of the classical diagnostic and therapeutic approach to adolescent endometriosis, emphasizing the sequential steps and multidisciplinary care involved. Abbreviations: MRI, magnetic resonance imaging; NSAIDs, non-steroidal anti-inflammatory drugs.</p>
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18 pages, 4232 KiB  
Article
Design of a Sensory Device for the Characterization of the Volatile Organic Compounds Fingerprint in the Breath of Dairy Cattle
by Simone Giovinazzo, Elio Romano, Carlo Bisaglia, Aldo Calcante, Ezio Naldi, Roberto Oberti, Alex Filisetti, Gianluigi Rozzoni and Massimo Brambilla
AgriEngineering 2025, 7(3), 55; https://doi.org/10.3390/agriengineering7030055 - 24 Feb 2025
Viewed by 302
Abstract
Early diagnosis of subclinical ketosis is fundamental in the production management of dairy cattle. Without evident clinical signs, this pathological condition causes important economic losses for the farmer and significant health repercussions for the cattle that could develop an altered immune function. Laboratory [...] Read more.
Early diagnosis of subclinical ketosis is fundamental in the production management of dairy cattle. Without evident clinical signs, this pathological condition causes important economic losses for the farmer and significant health repercussions for the cattle that could develop an altered immune function. Laboratory techniques, although accurate, are expensive, invasive, and cannot be used for real-time monitoring of the entire herd. On the contrary, the analysis of volatile organic compounds (VOCs) contained in the breath of dairy cattle affected by ketosis could represent a key biomarker of the ketogenic process. For this reason, we developed a sensory device, tested in the laboratory, to detect acetone concentrations ranging from 1 to 10 ppm (concentrations typically detected in the cow’s breath), and we look to verify the electronic nose’s potential as a non-invasive diagnostic tool for ketosis. Experimental results show the high sensitivity of the instrument in differentiating acetone solutions. Principal component analysis (PCA) showed a clear separation of samples in the score plot, while classification using linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) achieved accuracy rates above 70% and 85%, respectively. These findings suggest the potential application of the electronic nose as a non-invasive diagnostic tool in veterinary diagnostic studies. In particular, its ability to detect and discriminate low acetone concentrations could help the farmer to improve the overall management of the herd, optimising monitoring strategies and ketosis diagnosis before the appearance of the clinical signs of the disease. Full article
(This article belongs to the Section Livestock Farming Technology)
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<p>On the left, the electronic nose that was developed for the qualitative and quantitative characterization of VOCs in the breath of ruminants is shown. On the right, the two typologies of metal oxide semiconductor sensors utilized for the project are shown.</p>
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<p>Schematic representation of the sampling method for air contained in the headspace of the sample.</p>
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<p>Trend of the signal recorded by the individual sensors as a function of time (Day 1). The abscissa reports the acetone mixture analyzed, while the ordinate shows the voltage variation.</p>
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<p>Trend of the signal recorded by the individual sensors at equilibrium, i.e., in the last 60 s of each sampling cycle (Day 1). The voltage value was calculated by dividing the moving average of the voltage measured over time by the geometric average of the voltage recorded by the sensors at equilibrium during the analysis of the air samples filtered with activated carbons.</p>
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<p>Box plots showing the distribution of normalized voltage values recorded by each sensor at equilibrium (Day 1).</p>
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<p>Score plot (<b>a</b>) showing the distribution of acetone samples using PC1 (92.6%) vs. PC2 (96.9%). Loading plot (<b>b</b>) illustrating the contributions of the original variables (Voltage1-Voltage2-Voltage3-Voltage4-Voltage5) to PC1 and PC2 (Day 1).</p>
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<p>Trend of the signal recorded by the individual sensors as a function of time (Day 2). The abscissa reports the acetone mixture analyzed, while the ordinate shows the voltage variation.</p>
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<p>Trend of the signal recorded by the individual sensors as a function of time (Day 3). The abscissa reports the acetone mixture analyzed, while the ordinate shows the voltage variation.</p>
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<p>Trend of the signal recorded by the individual sensors at equilibrium, i.e., in the last 60 s of each sampling cycle (Day 2). The voltage value was calculated by dividing the moving average of the voltage measured over time by the geometric average of the voltage recorded by the sensors at equilibrium during the analysis of the air samples filtered with activated carbons.</p>
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<p>Trend of the signal recorded by the individual sensors at equilibrium, i.e., in the last 60 s of each sampling cycle (Day 3). The voltage value was calculated by dividing the moving average of the voltage measured over time by the geometric average of the voltage recorded by the sensors at equilibrium during the analysis of the air samples filtered with activated carbons.</p>
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<p>Box plots showing the distribution of normalized voltage values recorded by each sensor at equilibrium (Day 2).</p>
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<p>Box plots showing the distribution of normalized voltage values recorded by each sensor at equilibrium (Day 3).</p>
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<p>Score plot (<b>a</b>) showing the distribution of acetone samples using PC1 (72.9%) vs. PC2 (88.0%). Loading plot (<b>b</b>) illustrating the contributions of the original variables (Voltage1-Voltage2-Voltage3-Voltage4-Voltage5) to PC1 and PC2 (Day 2).</p>
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<p>Score plots (<b>a</b>) showing the distribution of acetone samples using PC1 (71.4%) vs. PC2 (83.1%). Loading plot (<b>b</b>) illustrating the contributions of the original variables (Voltage1-Voltage2-Voltage3-Voltage4-Voltage5) to PC1 and PC2 (Day 3).</p>
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20 pages, 10576 KiB  
Article
Clinical Research on Positron Emission Tomography Imaging of the Neuro-Stimulation System in Patients with Cochleo-Vestibular Implants: Is There a Response Beyond the Peripheral Organ?
by Joan Lorente-Piera, Elena Prieto, Ángel Ramos de Miguel, Manuel Manrique, Nicolás Pérez-Fernández, Ángel Ramos Macías, Jaime Monedero Afonso, Alina Sanfiel Delgado, Jorge Miranda Ramos, Paula Alonso Alonso, Javier Arbizu and Raquel Manrique-Huarte
J. Clin. Med. 2025, 14(5), 1445; https://doi.org/10.3390/jcm14051445 - 21 Feb 2025
Viewed by 234
Abstract
Introduction: In patients refractory to vestibular rehabilitation in the management of bilateral vestibulopathy, the cochleo-vestibular implant has emerged as a viable alternative to enhance both audiovestibular function and quality of life. The main objective of this study is to pioneer the use of [...] Read more.
Introduction: In patients refractory to vestibular rehabilitation in the management of bilateral vestibulopathy, the cochleo-vestibular implant has emerged as a viable alternative to enhance both audiovestibular function and quality of life. The main objective of this study is to pioneer the use of PET to assess cortical modifications in patients with cochleo-vestibular implants, aiming to evaluate the safety and functional improvements in individuals with bilateral vestibulopathy and severe to profound hearing loss. Methods: A phase I pilot clinical trial was conducted with participants who received a BIONIC-VEST CI24RE cochleo-vestibular implant, with pre- and post-implantation assessments conducted for twelve months. Audiovestibular testing and two PET studies with 18F-FDG under baseline conditions and with active stimulus to observe cortical-level differences were performed. Results: Five patients were included in the study, all of them treated with a cochleo-vestibular implant, none of whom presented postoperative adverse effects. Audiologically, the mean post-implant gain was 56.63 ± 14.53 dB and 50.40 ± 35.54% in terms of speech intelligibility. From a vestibular perspective, the most remarkable findings were observed at the graviceptive pathway level, where a mean posturographic improvement was observed, with a sensory organization test score of 24.20 ± 13.74 and a subjective visual vertical of 1.57° ± 0.79°, achieving, in most cases, results within the normal range (<2.3°) by the end of the follow-up. PET images confirmed that with the electrical stimulus active (implant ON), there was a supratentorial activation pattern, particularly in areas related to somatosensory integration, emotional regulation, and autonomic control. Conclusions: The BIONIC-VEST implant significantly improved the vestibular system, particularly the graviceptive pathway, enhancing balance and SVV and reducing fall risk. PET revealed distinct uptake patterns in baseline and activated conditions, highlighting a cortical-level response with the use of the cochleo-vestibular implant. Full article
(This article belongs to the Special Issue Current Updates on the Inner Ear)
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<p>Summary of the postoperative follow-up conducted on the patients included in the study.</p>
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<p>Summary of the PET subtraction algorithm applied in our study. Subtraction maps are presented over a standard MRI image.</p>
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<p>Cortical representation and summary of the different areas studied in the clinical trial using PET-CT imaging.</p>
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<p>Progression of auditory performance recorded in the PTA (<b>left</b> panel) and rate of discrimination (<b>right</b> panel) in the ipsilateral ears of each patient included in the study.</p>
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<p>(<b>A</b>). Summary of the different gains recorded in the vHIT in patients from the trial, analyzing the three different canals separately. The blue colors represent the ear ipsilateral to the cochleo-vestibular implant, while the purple colors represent the contralateral ears. (<b>B</b>). Example of vHIT results for the lateral semicircular canals of one of the patients in the trial. It shows two scenarios: the top image corresponds to the pre-implantation phase, and the bottom image shows the post-implantation phase with the cochleo-vestibular implant (CVI). Despite the lack of improvement in gain, clear refixation saccade phenomena can be observed. (<b>C</b>). Representation of the evolution of the different quotients included in the SOT. The dark blue color corresponds to the pre-implantation moment and the light blue color corresponds to post-implantation. SOMATO: somatosensorial; VESTIB: vestibular; PREF: visual preference.</p>
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<p>(<b>A</b>). Summary of the different gains recorded in the vHIT in patients from the trial, analyzing the three different canals separately. The blue colors represent the ear ipsilateral to the cochleo-vestibular implant, while the purple colors represent the contralateral ears. (<b>B</b>). Example of vHIT results for the lateral semicircular canals of one of the patients in the trial. It shows two scenarios: the top image corresponds to the pre-implantation phase, and the bottom image shows the post-implantation phase with the cochleo-vestibular implant (CVI). Despite the lack of improvement in gain, clear refixation saccade phenomena can be observed. (<b>C</b>). Representation of the evolution of the different quotients included in the SOT. The dark blue color corresponds to the pre-implantation moment and the light blue color corresponds to post-implantation. SOMATO: somatosensorial; VESTIB: vestibular; PREF: visual preference.</p>
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<p>Representation of the evolution of SVV in the different subjects. The dark blue color corresponds to the pre-implantation moment and the light blue color corresponds to post-implantation.</p>
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<p>Subtraction PET images illustrating the metabolic changes between baseline conditions and electrical stimulation. The yellow circle in patient 3 represents notable uptake at the ipsilateral frontal operculum related to the implant, while the blue circle in the fourth patient shows a decrease in uptake in the ipsilateral precentral gyrus, and the yellow circle in the fifth subject indicates an increase in uptake with the presence of electrical stimulation in the ipsilateral inferior frontal gyrus.</p>
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15 pages, 2018 KiB  
Article
Rat Model of Endogenous and Exogenous Hyperammonaemia Induced by Different Diets
by Janine Donaldson, Tomasz Jacek, Piotr Wychowański, Kamil Zaworski, Dominika Szkopek, Jarosław Woliński, Danica Grujic, Stefan Pierzynowski and Kateryna Pierzynowska
Int. J. Mol. Sci. 2025, 26(5), 1818; https://doi.org/10.3390/ijms26051818 - 20 Feb 2025
Viewed by 157
Abstract
Two different diets able to induce dietary hyperammonaemia (a methionine–choline-deficient (MCD) diet and a methionine-deficient diet enriched with ammonium acetate (MAD + 20% ammonium acetate)) were tested in a rat model. The diets were shown to have different modes of action, inducing significant [...] Read more.
Two different diets able to induce dietary hyperammonaemia (a methionine–choline-deficient (MCD) diet and a methionine-deficient diet enriched with ammonium acetate (MAD + 20% ammonium acetate)) were tested in a rat model. The diets were shown to have different modes of action, inducing significant hyperammonaemia (HA) and growth retardation in the rats, with different metabolic consequences. The MCD diet resulted in the development of endogenous HA, with a decrease in bilirubin levels and an increase in hepatic fat content. In contrast, the MAD + 20% ammonium acetate diet increased circulating ALP and haptoglobin levels and decreased liver mass. The above results suggest that the MCD diet deteriorated the liver function of the rats, resulting in the development of endogenous HA, while the MAD diet caused moderate changes in liver metabolism, resulting in the development of exogenous HA. Interestingly, the commonly used oral treatments Lactulose and Rifaximin did not ameliorate hyperammonaemia during or after the treatment period. In conclusion, even though the diets used in the current study caused somewhat similar hyperammonaemia, they seemed to provoke different metabolic consequences. The latter can have an impact on the severity of the resulting hyperammonaemia and thus on the hyperammonaemia-induced encephalopathy, resulting in the development of distinguishing cognitive and metabolic (liver) effects compared to other forms of encephalopathy. We hypothesized that these rat models, with significantly increased serum ammonia levels, along with different liver injuries, could serve as a suitable double animal model for the testing of new, oral enzyme therapies for hepatic encephalopathy in future studies. Full article
(This article belongs to the Special Issue Using Model Organisms to Study Complex Human Diseases)
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<p>Body mass changes in male, Wistar rats over the 10-week experimental period. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4. Different lowercase letters indicate significant differences between body weight measurements at different time points within a single diet group. Asterisks indicate significant differences between diet groups at a given time point. <span class="html-italic">p</span> &lt; 0.05 was considered significant.</p>
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<p>Changes in plasma ammonia levels of male, Wistar rats over the 10-week experimental period. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4. Different lowercase letters indicate significant differences when <span class="html-italic">p</span> &lt; 0.05 within particular diets, while * indicates significant differences between ammonia levels of different dietary groups at a particular time point.</p>
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<p>Plasma alkaline phosphatase (ALP) levels of male, Wistar rats at the end of the 10-week experimental period. (<b>A</b>) Plasma ALP levels of rats in the different experimental/dietary groups; (<b>B</b>) Plasma ALP levels of rats in the MCD and MAD20 groups after receiving either Lactulosum or Rifaximin treatment. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4.</p>
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<p>Plasma aspartate aminotransferase (AST) levels of male, Wistar rats at the end of the 10-week experimental period. (<b>A</b>) Plasma AST levels of rats in the different experimental/dietary groups; (<b>B</b>) Plasma AST levels of rats in the MCD and MAD20 groups after receiving either Lactulosum or Rifaximin treatment. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4.</p>
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<p>Plasma bilirubin levels of male, Wistar rats at the end of the 10-week experimental period. (<b>A</b>) Plasma bilirubin levels of rats in the different experimental/dietary groups; (<b>B</b>) Plasma bilirubin levels of rats in the MCD and MAD20 groups after receiving either Lactulosum or Rifaximin treatment. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4.</p>
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<p>Plasma haptoglobin levels of male Wistar rats at the end of the 10-week experimental period. (<b>A</b>) Plasma haptoglobin levels of rats in the different experimental/dietary groups; (<b>B</b>) Plasma haptoglobin levels of rats in the MCD and MAD20 groups after receiving either Lactulosum or Rifaximin treatment. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4.</p>
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<p>Terminal liver mass of male, Wistar rats at the end of the 10-week experimental period. (<b>A</b>) Terminal liver mass of rats in the different experimental/dietary groups; (<b>B</b>) Terminal liver mass of rats in the MCD and MAD20 groups after receiving either Lactulosum or Rifaximin treatment. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4.</p>
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<p>Fat content of the livers of male, Wistar rats at the end of the 10-week experimental period. (<b>A</b>) Fat mass of the livers of rats in the different experimental/dietary groups; (<b>B</b>) Fat mass of the livers of rats in the MCD and MAD20 groups after receiving either Lactulosum or Rifaximin treatment. Data are presented as Mean ± SD. MCD—rats fed a diet free of methionine and choline, n = 8; MAD20—rats fed a modified MCD with 0.2% choline + 20% ammonium acetate, n = 8; Control—rats fed a regular rat chow diet, n = 4.</p>
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<p>Experimental design (MCD = diet without choline and methionine; MAD20 = diet without methionine, supplemented with 20% ammonia acetate).</p>
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39 pages, 2899 KiB  
Review
Unravelling Cocoa Drying Technology: A Comprehensive Review of the Influence on Flavor Formation and Quality
by Margareth Santander, Vanessa Chica, Hugo A. Martínez Correa, Jader Rodríguez, Edwin Villagran, Fabrice Vaillant and Sebastián Escobar
Foods 2025, 14(5), 721; https://doi.org/10.3390/foods14050721 - 20 Feb 2025
Viewed by 307
Abstract
Cocoa quality serves as a differentiating factor that provides monetary and non-monetary benefits to farmers, defined by the genotype, agroecological conditions of cultivation, and the post-harvest processes involved in transforming seeds into cocoa beans, including harvesting, pre-conditioning, fermentation, and drying. Drying plays a [...] Read more.
Cocoa quality serves as a differentiating factor that provides monetary and non-monetary benefits to farmers, defined by the genotype, agroecological conditions of cultivation, and the post-harvest processes involved in transforming seeds into cocoa beans, including harvesting, pre-conditioning, fermentation, and drying. Drying plays a crucial role in ensuring the sensory, chemical, and microbiological quality of the beans, as simultaneous mass and heat transfer phenomena occur during this process, along with chemical reactions (both enzymatic and non-enzymatic) that influence the concentration and dynamics of phenolic compounds, organic acids, methylxanthines, and the formation of volatiles, directly impacting flavor development in cocoa beans. This paper comprehensively reviews cocoa drying methods, variables, and equipment and analyzes their impact on these flavor-determining compounds. The findings highlight that drying significantly contributes to the production of differentiated and specialty quality traits. An integral relationship between the methods, operating variables, and drying equipment applied to cocoa and their implications for the volatile and non-volatile compounds is described. Full article
(This article belongs to the Section Food Engineering and Technology)
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<p>Schema of mass and heat transfer phenomena and associated mechanisms and laws in cocoa drying.</p>
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<p>Solar drying: operating principle and mass and heat transfer mechanisms. Source: Adapted from Sharma et al. [<a href="#B42-foods-14-00721" class="html-bibr">42</a>].</p>
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<p>(<b>A</b>) Method of arrangement of cocoa seeds during the first hours of drying. Solar drying equipment commonly used by cocoa farmers: (<b>B</b>) Sliding surface dryers (elbas), (<b>C</b>) drying surface made of dry canes (<span class="html-italic">Gynerium sagittatum</span>), (<b>D</b>) greenhouse-like drier, (<b>E</b>) cement drying surface, (<b>F</b>) zinc drying surface.</p>
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<p>Convective drying: principle and mass and heat transfer mechanisms. Subscripts ai and af refer to initial and final air variables, respectively. Subscripts ci and cf refer to initial cocoa seed and final cocoa bean variables, respectively.</p>
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<p>Schema of enzymatic and non-enzymatic reactions of phenolic compounds during drying. The orange color represents enzymatic reactions, while the green color represents non-enzymatic reactions. The flavonoids in cocoa are highlighted in blue and the products of the reactions in yellow. Source: the examples of chemical reactions were taken from Damoradan et al. [<a href="#B8-foods-14-00721" class="html-bibr">8</a>].</p>
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<p>Schematic diagram illustrating cocoa flavor development, considering the influences of genotype and fermentation, as well as the roles of drying and early Maillard reactions, which produce volatile compounds responsible for flavor sensory attributes.</p>
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16 pages, 4985 KiB  
Article
Flavor, Lipid, and Transcriptomic Profiles of Chinese Wagyu Beef Cuts: Insights into Meat Quality Differences
by Tianliu Zhang, Tingting Wang, Yanhao Gao, Jiashun Sheng, Hossam E. Rushdi, Wentao Li, Yu Sun, Tong Fu, Feng Lin, Tengyun Gao and Shenhe Liu
Foods 2025, 14(5), 716; https://doi.org/10.3390/foods14050716 - 20 Feb 2025
Viewed by 238
Abstract
This study aimed to investigate the flavor formation and meat quality differences among different beef cuts in Chinese Wagyu cattle. The metabolites and gene expression profiles of chuck, neck, rump, tenderloin, and longissimus lumborum cuts were analyzed. The results revealed that a total [...] Read more.
This study aimed to investigate the flavor formation and meat quality differences among different beef cuts in Chinese Wagyu cattle. The metabolites and gene expression profiles of chuck, neck, rump, tenderloin, and longissimus lumborum cuts were analyzed. The results revealed that a total of 240 volatile organic compounds and 779 lipid molecules were detected among the beef cuts, with hydrocarbons (accounting for 29.71%) and triglycerides (representing 41.21%) emerging as the most prominent compounds, respectively. The sensory-directed analysis highlighted the significance of sweet and fruity aroma compounds, which contributed to the distinct aroma profiles among different beef cuts. Additionally, a total of 60 key lipid molecular markers, including FA(18:1), PC(40:5), TG(18:0_16:1_18:1), and TG(36:0_18:1), etc., were identified as playing crucial roles in the generation of essential lipid compounds across five different beef cuts. Integrative analysis of multi-omics data pinpointed a cluster of differentially expressed genes (e.g., DLD, ACADM, PCCA, SCD), which were involved in the regulation of valine, leucine, and isoleucine degradation pathways and lipid metabolism. Taken together, this study has identified key metabolites and candidate genes influencing meat quality across different beef cuts, providing a valuable resource for the molecular breeding of high-quality traits in beef cattle. Full article
(This article belongs to the Section Foodomics)
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<p>The profile of flavor compounds in the five beef cuts. (<b>A</b>) PCA of flavor mass spectrometry data for quality control samples and all beef cuts. (<b>B</b>) Unbiased hierarchical clustering heat map for quality control samples and all beef cuts. Both the ordinate and coordinates are labeled with names, where Ll, Ch, Ru, Te, and Ne represent longissimus lumborum, chuck, rump, tenderloin, and neck beef cuts, respectively. (<b>C</b>) Percentages of volatile organic compounds based on chemical taxonomy: class. (<b>D</b>) Differential volatile organic compounds (DVOCs) were detected by the Venn diagram based on VIP value, <span class="html-italic">p</span>-value, and fold change. (<b>E</b>) Radar map of DVOCs sensory flavor characteristics. The outermost name represents the sensory flavor feature, and the number corresponding to the green dot represents the number of the corresponding sensory flavor feature. (<b>F</b>) Network diagram of sensory flavor characteristics and DVOCs between chuck vs. neck. Orange circles represent sensory flavor characteristics, and turquoise circles represent differential metabolites.</p>
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<p>The profile of lipidomic in the five beef cuts. (<b>A</b>) PCA of lipid molecules data for quality control samples and all beef cuts. (<b>B</b>) Unbiased hierarchical clustering heat map for quality control samples and all beef cuts. (<b>C</b>) Percentages of lipid molecules based on chemical taxonomy: subclasses. (<b>D</b>) A Venn diagram illustrating the unique and shared DLMs among the ten groups. (<b>E</b>) DLMs compare bar charts in the Ne vs. Ch group. (<b>F</b>) DLMs compare bar charts in the Ll vs. Te group. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>The profile of gene expression in the five beef cuts. (<b>A</b>) PCA of gene expression data for all beef cuts. (<b>B</b>) Unbiased hierarchical clustering heat map for 9133 genes. (<b>C</b>–<b>E</b>) The Volcano plot from Ll vs. Ne, Ll vs. Te, and Ll vs. Ru groups, respectively; the other comparisons are shown in the Additional file <a href="#app1-foods-14-00716" class="html-app">Figure S3</a>. The <span class="html-italic">x</span>-axis represents the log<sub>2</sub>(Fold Change) value, while the <span class="html-italic">y</span>-axis depicts the −log<sub>10</sub>(<span class="html-italic">p</span>-adj) value. Down-regulated genes are denoted by blue nodes, and up-regulated genes are indicated by red nodes.</p>
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<p>The k-means cluster analysis of metabolites and gene expression. (<b>A</b>–<b>C</b>) The k-means cluster analysis of DVOCs (<b>A</b>), DLMs (<b>B</b>), and DEGs (<b>C</b>). The <span class="html-italic">x</span>-axis depicts samples from five representative beef cuts, and the <span class="html-italic">y</span>-axis depicts the abundance per DVOC and DLM, as well as expression change for DEG. (<b>D</b>–<b>F</b>) The correlation analysis of DVOCs, DLMs, and DEGs among clusters. The correlation analysis between the flavor compound cluster and lipid molecule cluster (<b>D</b>). The correlation analysis between lipid molecule cluster and gene expression cluster (<b>E</b>). The correlation analysis between the gene expression cluster and flavor compound cluster (<b>F</b>).</p>
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<p>Correlation and functional analysis of differential compounds and genes associated with meat quality trait. (<b>A</b>) Correlation analysis of DVOCs in flavor cluster 2 and DLMs in lipid cluster 1. (<b>B</b>) Correlation analysis of DVOCs in flavor cluster 2 and DLMs in lipid cluster 2. (<b>C</b>) Correlation analysis of DEGs in gene cluster 3 and DLMs in lipid cluster 3. (<b>D</b>) Correlation analysis of DEGs in gene cluster 3 and DLMs in lipid cluster 4. (<b>E</b>) Pathway enrichment analysis for DLMs in lipid cluster 1 and lipid cluster 2. (<b>F</b>) Pathway enrichment analysis for DEGs in gene cluster 3. The abscissa is the log<sub>2</sub>(FDR) value, and the ordinate is the pathway term. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>The important pathways associated with five beef cuts in cattle. (<b>A</b>) The valine, leucine, and isoleucine degradation pathways contribute to the meat quality among beef cuts. (<b>B</b>) The lipid metabolism pathways contribute to the meat quality among beef cuts.</p>
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16 pages, 3128 KiB  
Article
Analysis of Volatile and Non-Volatile Components of Dried Chili Pepper (Capsicum annuum L.)
by Wenqi Li, Yuan Wang, Lijie Xing, Wensheng Song and Shiling Lu
Foods 2025, 14(5), 712; https://doi.org/10.3390/foods14050712 - 20 Feb 2025
Viewed by 262
Abstract
As an important crop in the world, dried pepper is widely used in various foods. However, the sensory quality, fruit shape index, edible index, nutrition index, and volatile components of dried pepper have not been comprehensively analyzed. This study elucidated the differences between [...] Read more.
As an important crop in the world, dried pepper is widely used in various foods. However, the sensory quality, fruit shape index, edible index, nutrition index, and volatile components of dried pepper have not been comprehensively analyzed. This study elucidated the differences between different varieties of dried pepper and provided the basis for the selection of raw materials for different varieties of dried pepper products. The varieties with high scores in sensory evaluation were Henan new generation, Neihuang new generation, Chengdu Erjingtiao, India S17, and Honglong 12. The varieties with the highest fruit shape index, edible rate, and nutrition index were Chengdu Erjingtiao and Guizhou Erjingtiao. A total of 380 volatile organic compounds were identified by comprehensive two-dimensional gas chromatography–time-of-flight mass spectrometry with headspace sampling (HS-GC-TOF MS), including 62 alcohols, 50 aldehydes, 68 ketones, 60 hydrocarbons, 99 esters, 18 acids, and 23 other substances such as pyrazoles and ethers. Full article
(This article belongs to the Section Food Analytical Methods)
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<p>Dried chili pepper sensory score.</p>
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<p>Stack diagram of volatile organic compounds in different dried capsicums based on GC-TOF MS.</p>
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<p>Volatile organic compound heat maps of different dried chili powders: (<b>a</b>) volatile alcohol heat map of dried chili powder; (<b>b</b>) volatile aldehyde heat map of dried chili powder; (<b>c</b>) volatile hydrocarbon heat map of dried chili powder; (<b>d</b>) volatile ester heat map of dried chili powder.</p>
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<p>Volatile organic compound heat maps of different dried chili powders: (<b>a</b>) volatile alcohol heat map of dried chili powder; (<b>b</b>) volatile aldehyde heat map of dried chili powder; (<b>c</b>) volatile hydrocarbon heat map of dried chili powder; (<b>d</b>) volatile ester heat map of dried chili powder.</p>
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<p>Volatile organic compound heat maps of different dried chili powders: (<b>a</b>) volatile alcohol heat map of dried chili powder; (<b>b</b>) volatile aldehyde heat map of dried chili powder; (<b>c</b>) volatile hydrocarbon heat map of dried chili powder; (<b>d</b>) volatile ester heat map of dried chili powder.</p>
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<p>Volatile organic compound heat maps of different dried chili powders: (<b>a</b>) volatile alcohol heat map of dried chili powder; (<b>b</b>) volatile aldehyde heat map of dried chili powder; (<b>c</b>) volatile hydrocarbon heat map of dried chili powder; (<b>d</b>) volatile ester heat map of dried chili powder.</p>
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17 pages, 2878 KiB  
Article
Postural Abnormalities on the Sagittal Plane in Parkinson’s Disease and Therapeutic Role of the K1 Posture Keeper Shirt Evaluated by 3D Motion Analysis
by Paolo De Blasiis, Allegra Fullin, Ciro Ivan De Girolamo, Edoardo Bianchini, Giuseppina Miele, Nunzio Setola and Mariarosa Anna Beatrice Melone
Appl. Sci. 2025, 15(5), 2255; https://doi.org/10.3390/app15052255 - 20 Feb 2025
Viewed by 291
Abstract
Postural abnormalities in the sagittal plane are common in Parkinson’s disease (PD) and increase the risk of falls. Previous studies have reported short-term benefit of corrective corsets in PD patients assessed by clinical and instrumental methods, while long-term effects on sagittal posture in [...] Read more.
Postural abnormalities in the sagittal plane are common in Parkinson’s disease (PD) and increase the risk of falls. Previous studies have reported short-term benefit of corrective corsets in PD patients assessed by clinical and instrumental methods, while long-term effects on sagittal posture in upright standing and during walking remain unexplored. Fifteen PD patients with postural abnormalities on the sagittal plane, evaluated via the NeuroPostureApp, and ten healthy subjects matched for age and BMI were assessed by 3D motion analysis in upright posture. Then, the PD patients were evaluated with and without the K1 Posture Keeper during standing and walking at baseline (T0) and after three months of use (T1). The results showed an anteriorization of the head–cervical region with respect to the trunk and a whole-body misalignment in PD patients compared to healthy controls. The use of the K1 Posture Keeper induced a back shift of the nasion with a better alignment of the head with respect to the trunk, pelvis, and feet in upright standing and during walking, underlining an improvement in the sagittal alignment of the entire body in PD. These findings showed the therapeutical role of K1 Posture Keeper on sagittal posture in static and dynamic conditions, potentially due to proprioceptive reorganization. Full article
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<p>Graphical representation of L5-thoracic fulcrum-C7 (<b>a</b>) and C7-auditory meatus–vertical axis (<b>b</b>) angles via NeuroPostureApp in a PD patient, as previously defined in [<a href="#B12-applsci-15-02255" class="html-bibr">12</a>]. The LTFC and CMA angles and the dashed vertical axis are marked in red. Figure notes: thoracic fulcrum (TF); cervical (C); lumbar (L); auditory meatus (M); L5-thoracic fulcrum-C7 (LTFC); C7-auditory meatus–vertical axis (CMA).</p>
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<p>(<b>a</b>) DB-total marker set on frontal plane anterior (<b>a<sub>I</sub></b>) and posterior (<b>a<sub>II</sub></b>) prospective. (<b>b</b>) PD patient wearing K1 Posture Keeper. Figure notes: cervical (C), thoracic (T), lumbar (L), sacrum (S), nasion (Ns), frontozygomatic suture (FZs), acromioclavicular joint (ACj), epicondylus humeri (eH), ulnar styloid (Us), anterior superior iliac spine (ASIS), greater trochanter (gT), medial (mEF) and lateral (lEF) epicondylus femoris, fibular head (Fh), medial (mM) and lateral (lM) malleoli, metatarsal heads (MtHs), and heel (He).</p>
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<p>Procedure for marker placement during evaluation session with orthosis: (<b>a</b>) circular double-sided stickers placed at the body landmarks (T7, T12, L3, L5 and S2) previously marked; (<b>b</b>) removing of the sticker cover; (<b>c</b>) patient wearing the orthosis, making sticker signs visible; (<b>d</b>) reflective markers placed on the orthosis at the body landmarks, identified thanks to visible sticker signs. Figure notes: C: cervical; T: thoracic; L: lumbar; S: sacrum. Markers highlighted in red are those placed on the orthosis.</p>
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<p>Graphical representation of sagittal whole-body parameters resulted in significant differences in various comparisons: (<b>a</b>) healthy versus PD group in upright standing; (<b>b</b>) PD group without K1 versus with K1 during upright standing and walking at T0 and T1 (* the asterisk indicates a significant difference only during walking). T0 (before treatment), T1 (after treatment with K1 Posture Keeper). Figure Notes: the black dashed line indicates the vertical axis; the grey dashed lines represent head and thoracic planes with their corresponding perpendicular lines. The down and up arrows indicate a significant decrease and increase in parameters, respectively. Nasion (Ns), occiput (O), cervical (C), frontozygomatic suture (FZs), acromioclavicular joint (ACj), sacrum (S), heel (He); C7-nasion (CNA), cervical tilt (CT), S2-C7-occiput (SCO), heel-sacrum-occiput (HSO), heel-sacrum-nasion (HSN), and heel-sacrum-C7 (HSC) angles.</p>
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<p>Boxplot of significant differences (<span class="html-italic">p</span>-value ≤ 0.05) for static parameters in multiple comparisons implemented via repeated measures-ANOVA. Figure Notes: Significant differences are highlighted in bold (“*” <span class="html-italic">p</span> &lt; 0.05). T0 without K1 (A); T0 with K1 (B); T1 without K1 (C); T1 with K1 (D); (<b>a</b>) C7-nasion (CNA) and (<b>b</b>) S2-C7-occiput (SCO) angles; degree (Deg).</p>
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<p>Boxplot of significant differences (<span class="html-italic">p</span>-value ≤ 0.05) for average of kinematic parameters in multiple comparisons implemented via repeated measures–ANOVA. Figure Notes: Significant differences are highlighted in bold (“*” <span class="html-italic">p</span> &lt; 0.05, “**” <span class="html-italic">p</span> &lt; 0.01). T0 without K1 (A); T0 with K1 (B); T1 without K1 (C); T1 with K1 (D); (<b>a</b>) C7-nasion (CNA), (<b>b</b>) S2-C7-occiput (SCO) and (<b>c</b>) heel-sacrum-nasion (HSN) angles; degree (Deg).</p>
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