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Keywords = volatiles extraction

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25 pages, 3883 KB  
Article
Bioactive Chitosan–Essential Oil Coatings for Strawberries: A Trade-Off Between Sensory Quality and Antimicrobial Activity
by Ylenia Pieracci, Priscilla Farina, Pierina Díaz-Guerrero, Chiara Sanmartin, Diego Mencarini, Barbara Conti, Arianna Petrucci, Sabrina Sarrocco and Francesca Venturi
Agronomy 2026, 16(12), 1202; https://doi.org/10.3390/agronomy16121202 (registering DOI) - 20 Jun 2026
Abstract
Bio-based coatings enriched with essential oils (EOs) represent a promising alternative to synthetic preservatives to extend strawberries’ shelf-life. This study evaluated the effects of chitosan (CHT) formulations containing three selected EOs (Illicium verum, Citrus sinensis, and Citrus limon) on [...] Read more.
Bio-based coatings enriched with essential oils (EOs) represent a promising alternative to synthetic preservatives to extend strawberries’ shelf-life. This study evaluated the effects of chitosan (CHT) formulations containing three selected EOs (Illicium verum, Citrus sinensis, and Citrus limon) on the volatile profile, sensory quality, and antifungal activity of strawberry fruits. Volatile emissions were characterized by Headspace Solid Phase Micro-Extraction/Gas Chromatography-Mass Spectrometry, while sensory properties were assessed using Quantitative Descriptive Analysis. Antifungal activity was evaluated both in vitro and in vivo against Botrytis cinerea. Chitosan alone slightly modified the volatile profile, while EO-enriched coatings induced marked and concentration-dependent changes, reflecting the chemical composition of the incorporated EOs. Among the tested formulations, CHT combined with 1% C. sinensis EO provided the best balance between preservation of the characteristic strawberry aroma and overall sensory acceptance. In vitro assays showed that EO volatiles, particularly from C. sinensis and I. verum, significantly inhibited fungal growth, while diffusible compounds were less effective. In vivo, EO-containing coatings reduced disease incidence and severity by approximately 50%. These findings highlight the potential of CHT–EO coatings as sustainable options for postharvest preservation, although optimization of EO type and concentration is crucial to balance sensory quality and antimicrobial efficacy. Full article
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22 pages, 945 KB  
Article
Modulating the Chemical and Sensory Profile of Avgoustiatis Grapes (Vitis Vinifera L.) and Wines: The Impact of Irrigation and Post-Harvest Dehydration Under Extreme Mediterranean Thermal Stress
by Despina Lola, Christina Karadimou, Theodoros Gkrimpizis, Dimitrios-Evangelos Miliordos, Kostas Nikolakis, Serafeim Theocharis, Niki Proxenia, Stefanos Koundouras and Yorgos Kotseridis
Foods 2026, 15(12), 2223; https://doi.org/10.3390/foods15122223 (registering DOI) - 20 Jun 2026
Abstract
This study evaluates regulated deficit irrigation (IR) and post-harvest dehydration (DH) as complementary strategies to mitigate extreme thermal stress on the red grape variety Avgoustiatis during the hot 2024 vintage. Analysis of the berries reveals that while IR significantly expanded vine productivity to [...] Read more.
This study evaluates regulated deficit irrigation (IR) and post-harvest dehydration (DH) as complementary strategies to mitigate extreme thermal stress on the red grape variety Avgoustiatis during the hot 2024 vintage. Analysis of the berries reveals that while IR significantly expanded vine productivity to 2.75 kg/vine compared to 1.32 kg/vine recorded in control vines (CO), it successfully maintained berry weight (240 g). Conversely, DH induced controlled water loss, reducing berry weight to 93 g and concentrating must sugars to 27.3 °Brix, relative to the 23.2 °Brix observed in IR. Crucially, both IR and DH prevented the thermal degradation of total acidity (6.73 g/L and 7.25 g/L respectively) which caused by heat stress in CO samples (6.21 g/L). In the finished wines, both practices increased colour intensity by lowering anthocyanin extractability. However, chemical profiling clearly differentiated the treatments with DH maximized skin tannins (164.7 mg/L), yielding highly structured, astringent wines characterized by plum aromas driven by elevated nerol content (492.91 μg/L). Conversely, IR wines presented a more complex volatile profile, boosting fruity and floral notes. In conclusion, as irrigation becomes increasingly restricted by water scarcity under climate change, post-harvest dehydration offers an effective alternative for producing premium, structurally dense red wines. Full article
(This article belongs to the Special Issue Winemaking: Innovative Technology and Sensory Analysis)
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37 pages, 2097 KB  
Article
A Multi-Stage Digital Paradigm Framework for Electricity Price Forecasting: Integrating Structural Break Analysis and Hybrid Deep Learning
by Luqi Yuan, Rui He, Zhongmiao Sun, Jiahe Li and Jiani Heng
Sustainability 2026, 18(12), 6293; https://doi.org/10.3390/su18126293 (registering DOI) - 18 Jun 2026
Abstract
Accurate electricity price forecasting (EPF) is essential for market participants to optimize trading strategies and for power systems to accommodate the increasing penetration of volatile renewable energy sources. However, electricity price series are characterized by strong nonlinearity, high volatility, and significant structural breaks, [...] Read more.
Accurate electricity price forecasting (EPF) is essential for market participants to optimize trading strategies and for power systems to accommodate the increasing penetration of volatile renewable energy sources. However, electricity price series are characterized by strong nonlinearity, high volatility, and significant structural breaks, which pose substantial challenges to conventional forecasting models. Although numerous hybrid deep learning models have been proposed for EPF, most existing approaches either overlook structural breaks or treat them as outliers rather than as signals of regime shifts, often resulting in systematic forecasting degradation when market conditions change abruptly. To address this issue, this study proposes COCAL-TTL, a novel multi-stage structural break-aware forecasting framework that integrates regime-adaptive data partitioning with a functionally differentiated hybrid deep learning architecture. First, a joint detection scheme combining the Iterated Cumulative Sum of Squares (ICSS) algorithm and the Chow test is employed to partition Spanish electricity market data from 2014 to 2023 into distinct regimes. Within each regime, CEEMDAN is applied to extract multi-scale features, which are subsequently reconstructed into trend, periodic, and random components based on an independent sample t-test and Fast Fourier Transform (FFT). The CNN-SE Attention-LSTM (CAL) model, with hyperparameters optimized by the Osprey Optimization Algorithm (OOA), serves as the primary forecasting engine. In addition, a dedicated heterogeneous error correction module, namely TTL, is introduced, in which Temporal Convolutional Network, Transformer, and LSTM are designed to capture local transients, long-range dependencies, and transitional dynamics in the residual series, respectively. Empirical results demonstrate that compared with the Naive benchmark, COCAL-TTL achieves percentage MAPE improvements of 58.48% and 48.97% in low- and high-volatility regimes, respectively. These findings indicate that the proposed structural break-aware framework provides a robust data-driven solution for EPF under heterogeneous market conditions and offers technical support for stable electricity market operation in the context of renewable energy integration. Full article
(This article belongs to the Special Issue Integration of Digitalization and Green Economy)
27 pages, 3031 KB  
Article
Growth Month-Associated Variation in Volatile Profiles, Anti-Glycation Capacity, and Antioxidant Activity of Cyclocarya paliurus Leaves: A Pilot Study
by Yanmeng Fu, Qiyue Shao, Liang Chen, Tianxiao Zhang, Jingyi Zhao, Wenhui Zhou, Bin Long, Dai Lu, Wei Wang and Xing Tian
Foods 2026, 15(12), 2183; https://doi.org/10.3390/foods15122183 - 17 Jun 2026
Viewed by 67
Abstract
Cyclocarya paliurus leaves, commonly consumed as “sweet tea”, remain underutilized after spring harvest. This pilot study investigated harvest month-associated changes in bioactivity-related properties and volatile profiles of mature leaves collected from May to September (Q5–Q9) at one site in 2024. Aqueous extracts were [...] Read more.
Cyclocarya paliurus leaves, commonly consumed as “sweet tea”, remain underutilized after spring harvest. This pilot study investigated harvest month-associated changes in bioactivity-related properties and volatile profiles of mature leaves collected from May to September (Q5–Q9) at one site in 2024. Aqueous extracts were analyzed for TPC, TFC, TP, TSC, DPPH and ABTS•+ radical scavenging activities, and inhibition of advanced glycation end-products (AGEs) formation in glucose/fructose-BSA models, with aminoguanidine as a positive reference. Dried leaf powders were profiled by SPME-GC-MS for tentative VOC annotation. TPC, TFC, TP, and TSC ranged from 28.04 to 28.87, 15.42 to 40.22, 2.14 to 2.51, and 23.15 to 25.30 mg/g, respectively. Q9 showed the strongest radical scavenging response, with the lowest DPPH and ABTS•+ IC50 values (0.119 and 0.131 mg/mL), while Q6 also exhibited relatively strong activity. Furthermore, Q6 and Q9 exhibited superior advanced glycation end-product (AGE) inhibitory responses, with Q9 being particularly effective in the fructose-BSA model. VOC profiles varied markedly by month, shifting from alkene/terpene predominance in Q5–Q6 to alcohol enrichment in Q7 and renewed alkene/terpene predominance in Q9. Integrated heatmap and Pearson correlation analyses identified clear temporal co-variations and pairwise associations between distinct VOC classes and bioactivity indices. Collectively, these results provide preliminary, site- and year-specific evidence that harvest month is associated with changes in the bioactivity-related properties and aroma-related phytochemical profiles of mature C. paliurus leaves, offering a cautious reference for harvest-stage-oriented utilization. Full article
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24 pages, 835 KB  
Article
Identification of Key Aroma-Active Compounds in Plum, Jujube, and Grape Extracts via GC×GC-O-TOF-MS, GC-MS, Aroma Recombination and Omission Tests
by Ruiyang Chen, Qinghui Jia, Anzhen Fu, Fan Yang, Yixin Dai, Jingzhe Sun, Liya Liu, Ye Liu and Shuang Bi
Separations 2026, 13(6), 177; https://doi.org/10.3390/separations13060177 - 16 Jun 2026
Viewed by 79
Abstract
Fruity natural flavors are widely used in food, cosmetics, and tobacco products, and their flavor profiles directly affect the sensory quality of the final products. However, the volatile organic compound systems in these flavors are highly complex, and severe co-elution among volatile components [...] Read more.
Fruity natural flavors are widely used in food, cosmetics, and tobacco products, and their flavor profiles directly affect the sensory quality of the final products. However, the volatile organic compound systems in these flavors are highly complex, and severe co-elution among volatile components makes effective component resolution a persistent analytical challenge. In this study, comprehensive two-dimensional gas chromatography–olfactometry–time-of-flight mass spectrometry (GC×GC-O-TOF-MS) was employed to separate and identify volatile odor compounds in three natural fruit flavor extracts: plum, jujube, and grape. A total of 113, 103, and 85 volatile odor compounds were identified from the plum, jujube, and grape extracts, respectively. By progressively adjusting the split ratio, aroma extract dilution analysis was performed, leading to the screening of 14, 11, and 32 aroma-active compounds from the three extracts, respectively. Compounds with high flavor dilution factors were subjected to quantitative analysis, and their odor activity values were calculated. Subsequently, omission and recombination experiments were conducted to confirm the key aroma-active compounds in each extract. The results showed that octanal was a key aroma compound shared by the plum and jujube extracts, while ethyl cinnamate was common to both the plum and grape extracts. Through a molecular sensory science approach and utilizing GC×GC-O-TOF-MS chromatographic separation technology, this study provides a reliable analytical platform for aroma characterization in complex samples. It also establishes a critical theoretical and data foundation for precisely identifying key aroma-active components and implementing targeted aroma modulation to enhance the natural flavor quality of fruits. Full article
26 pages, 5046 KB  
Article
Improving the Quality of Muscat Grape Juice Through Cold Maceration Using Metschnikowia pulcherrima: A Comparative Study on Phenolics, Antioxidant Activities and Volatile Profiles
by Fei Li, Pengbao Shi, Xin Dong, Wenqi Shi, Yang Yang and Hejing Yan
Fermentation 2026, 12(6), 284; https://doi.org/10.3390/fermentation12060284 - 15 Jun 2026
Viewed by 188
Abstract
Phenolic compounds in Muscat grape juice contribute to antioxidant capacity, functional properties, and sensory quality; however, conventional enzymatic maceration is often limited in efficiency and typically requires elevated temperatures. This study systematically compared pectinase-assisted heat maceration (P45-HM), low-temperature pectinase maceration (P-CM), and low-temperature [...] Read more.
Phenolic compounds in Muscat grape juice contribute to antioxidant capacity, functional properties, and sensory quality; however, conventional enzymatic maceration is often limited in efficiency and typically requires elevated temperatures. This study systematically compared pectinase-assisted heat maceration (P45-HM), low-temperature pectinase maceration (P-CM), and low-temperature maceration mediated by the psychrotolerant yeast Metschnikowia pulcherrima (Mp-CM) in Muscat grape juice. Mp-CM significantly enhanced the extraction and transformation of phenolic compounds, with total phenolic and flavonoid contents increasing by 8.01% and 13.14%, respectively, compared with P-CM, and by 27.06% and 55.28%, respectively, compared with P45-HM. Moreover, Mp-CM exhibited higher antioxidant activities, as determined by DPPH, ABTS, and FRAP assays, as well as greater sodium glycocholate-binding capacity than P-CM (p < 0.05). Correlation analysis revealed strong positive correlations between phenolic composition and biological activities. Volatile compounds were analyzed by HS-SPME-GC-MS combined with principal component analysis (PCA), demonstrating distinct aroma profiles. Mp-CM was enriched in terpenes (14.63% higher than P-CM), whereas P-CM was dominated by esters, suggesting that M. pulcherrima possesses a distinct biotransformation capacity that modulates volatile compounds potentially contributing to the characteristic Muscat aroma. These findings indicate that Mp-assisted cold maceration represents an efficient and promising biological maceration strategy for enhancing the quality of grape juice. Full article
(This article belongs to the Section Fermentation for Food and Beverages)
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34 pages, 1431 KB  
Article
Optimisation of Culture Conditions Enhances Antifungal Activity and Reshapes Extracellular Metabolite Profiles in Trichoderma harzianum BOL-12QD
by Luis Apaza Ticona and María Teresa Alvarez-Aliaga
Microorganisms 2026, 14(6), 1331; https://doi.org/10.3390/microorganisms14061331 - 13 Jun 2026
Viewed by 127
Abstract
Botrytis cinerea is a major phytopathogenic fungus responsible for substantial economic losses in horticultural crops, underscoring the need for sustainable alternatives to synthetic fungicides. This study investigated the influence of physical, chemical and biological culture parameters on the antifungal activity of culture filtrates [...] Read more.
Botrytis cinerea is a major phytopathogenic fungus responsible for substantial economic losses in horticultural crops, underscoring the need for sustainable alternatives to synthetic fungicides. This study investigated the influence of physical, chemical and biological culture parameters on the antifungal activity of culture filtrates produced by Trichoderma harzianum BOL-12QD. Culture conditions were sequentially optimised by evaluating light-filter exposure, carbon and nitrogen source composition, potato ecotype selection, co-cultivation with Botrytis cinerea, and volatile-mediated interactions. Antifungal activity was assessed using mycelial growth inhibition assays against Botrytis cinerea. Among the individual factors, violet-filter illumination, a medium containing 5 g L−1 glucose and 250 g L−1 potato extract, the Leke Pek’e potato ecotype, ammonium nitrate as nitrogen source, and co-cultivation with Botrytis cinerea at 104 conidia mL−1 produced the highest inhibitory effects. Sequential integration of these optimised conditions resulted in enhanced antifungal activity, reaching up to 62% inhibition. Volatile organic compounds produced by Trichoderma harzianum BOL-12QD exhibited only minimal antifungal activity under the conditions tested, suggesting that volatile-mediated antagonism plays a limited role in this system. In contrast, culture-dependent modulation of extracellular metabolite profiles was evidenced by comparative 1H NMR fingerprinting, which revealed condition-specific spectral differences, with the optimised treatment displaying a distinct metabolic signature relative to all other conditions. Cytotoxicity assays in murine peritoneal macrophages showed no significant reduction in cell viability at concentrations up to 200 μg mL−1. In vivo exposure to the optimised culture filtrate (250 mg kg−1 d−1 for 10 days) induced transient treatment-related clinical observations without mortality, indicating a need for further detailed toxicological characterisation. Overall, these findings demonstrate that the antifungal activity of Trichoderma harzianum BOL-12QD is strongly modulated by interacting environmental, nutritional and biological culture parameters. The results support the potential of optimised culture filtrates as a source of bioactive metabolites for biocontrol applications, while highlighting the importance of integrated biochemical and toxicological evaluation. Full article
(This article belongs to the Special Issue Harnessing Microbes for Crop Protection and Fertilization)
20 pages, 4232 KB  
Article
Integrated Metabolomics of Processing Residues from Camphora officinarum c.t. Borneol as a Potential Substrate for Edible Fungi Cultivation
by Xiaoxian Ruan, Qian Zhang, Minghuai Wang, Bing Li, Yanling Cai, Yonglin Zhong, Huiming Lian, Hui Wang, Zexiu Wang and Chen Hou
Molecules 2026, 31(12), 2027; https://doi.org/10.3390/molecules31122027 - 10 Jun 2026
Viewed by 203
Abstract
Background: The residues of Camphora officinarum c.t. borneol after essential oil extraction are often discarded, causing resource waste and environmental pollution, while the edible fungi industry is facing a shortage of traditional cultivation substrates. Methods: This study integrated UPLC-MS/MS and GC-MS to comprehensively [...] Read more.
Background: The residues of Camphora officinarum c.t. borneol after essential oil extraction are often discarded, causing resource waste and environmental pollution, while the edible fungi industry is facing a shortage of traditional cultivation substrates. Methods: This study integrated UPLC-MS/MS and GC-MS to comprehensively profile volatile and non-volatile metabolites. Samples included fresh branches and leaves (ZSXY) and residues after steam distillation (ZSZL), boiling combined with distillation (ZSSZ), and sun-drying after distillation (ZSSG). Results: In total, 2454 metabolites across 25 categories were detected. PCA revealed clear separation between fresh samples and all processed samples, with ZSZL and ZSSZ exhibiting similar metabolic profiles that were distinctly separated from ZSSG. Compared with ZSXY, most metabolites decreased after processing. ZSSG exhibited the strongest degradation, with 1408 down-regulated and only 146 up-regulated metabolites, and total terpenoid content decreased by 92.27%. ZSZL retained the highest levels of nutrients (e.g., amino acids and nucleotides) and bioactive compounds (e.g., phenolic acids, flavonoids, terpenoids), with 322 up-regulated metabolites. Among the specific comparisons, 113, 212, and 487 differentially accumulated metabolites were identified in ZSXY vs. ZSZL, ZSXY vs. ZSSZ, and ZSXY vs. ZSSG, respectively. KEGG enrichment revealed distinct pathway alterations: monoterpenoid degradation and biosynthesis pathways were activated in ZSZL, nitrogen metabolism-related pathways were disturbed in ZSSZ, and both limonene and pinene degradation and aminoacyl-tRNA biosynthesis pathways were enriched in ZSSG. Conclusions: Based on metabolomic profiling, steam distillation residues exhibited favorable retention of nutrients and bioactive compounds, whereas sun-drying led to excessive metabolite loss. These findings support the valorization of processing residues and promote circular agriculture. However, whether these residues can serve as effective substrates for edible fungi cultivation remains to be tested in dedicated cultivation trials. Full article
(This article belongs to the Special Issue Characterization of Bioactive Compounds from Plant Metabolites)
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18 pages, 2729 KB  
Article
Deodorization of Recycled HDPE: Comparative Assessment of Washing and Solvent-Based Purification Strategies with a Techno-Economic Analysis
by Aymara Blanco, Vafa Feyzi, Rafael Juan, Beatriz Paredes, Carlos Domínguez, Javier Dufour and Rafael A. García-Muñoz
Polymers 2026, 18(12), 1441; https://doi.org/10.3390/polym18121441 - 9 Jun 2026
Viewed by 276
Abstract
Residual volatile organic compounds (VOCs) and non-intentionally added substances (NIASs) limit the reuse of post-consumer recycled high-density polyethylene (rHDPE) in high-value applications because they generate persistent odors and may compromise product quality and regulatory acceptance. This work comparatively assesses five deodorization and purification [...] Read more.
Residual volatile organic compounds (VOCs) and non-intentionally added substances (NIASs) limit the reuse of post-consumer recycled high-density polyethylene (rHDPE) in high-value applications because they generate persistent odors and may compromise product quality and regulatory acceptance. This work comparatively assesses five deodorization and purification routes for rHDPE: agitation washing, ultrasound-assisted washing, reflux heating, Soxhlet extraction, and dissolution/precipitation, by combining VOC removal performance, material characterization, and techno-economic evaluation. Ultrasound-assisted washing with SDS achieved ~96% total VOC removal, while reflux heating resulted in near-complete removal (~98%), approaching the analytical detection limit. Soxhlet extraction with ethanol reached 94% after 1 h, and the dissolution/precipitation method provided near-complete purification and removed additional impurities, but at the expense of substantially higher process complexity and cost. Mechanical and physicochemical characterization indicated that the evaluated treatments did not appreciably compromise the measured properties of the recycled polymer. In addition, equilibrium screening with representative analytes in ethanol provided qualitative support for the solvent–polymer interaction discussion. A plant-scale techno-economic assessment identified ultrasound-assisted SDS washing as the most attractive option, offering the best balance between deodorization efficiency, process simplicity, and cost. Overall, the results provide a practical basis for selecting scalable decontamination strategies to upgrade rHDPE quality and expand its use in circular plastic applications. Full article
(This article belongs to the Special Issue Advances in Recycling of Polymer Materials)
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20 pages, 925 KB  
Article
Text-Enhanced Financial Volatility Prediction with Hawkes LSTM
by Jing Zhang, Jing Qi and Dabo Guo
Math. Comput. Appl. 2026, 31(3), 101; https://doi.org/10.3390/mca31030101 - 9 Jun 2026
Viewed by 181
Abstract
Volatility is a fundamental indicator for assessing the risk of financial assets. By integrating unstructured data, such as earnings call transcripts, the limitations of traditional time series data can be transcended, enabling collaborative forecasting from multiple data sources, enhancing the robustness of volatility [...] Read more.
Volatility is a fundamental indicator for assessing the risk of financial assets. By integrating unstructured data, such as earnings call transcripts, the limitations of traditional time series data can be transcended, enabling collaborative forecasting from multiple data sources, enhancing the robustness of volatility prediction, and improving the efficiency of risk management. Although current research has effectively utilized earnings call data to predict asset volatility, price trends, and stock correlations, it often overlooks the inherent challenges of integrating textual and time series data, as well as the self-exciting and clustering characteristics of financial events. While conventional Long Short-Term Memory (LSTM) networks excel in processing fused data, they lack the structural capacity to explicitly model event-driven temporal decay, often failing to differentiate the varying influence of historical shocks over time. To surmount this limitation, we have significantly enhanced the predictive model by focusing on extracting salient information and integrating temporal dependency modeling with dynamic state adjustment mechanisms. The core innovation is introducing the Hawkes process to explicitly capture the self-exciting effect of financial events, which is the key to modeling volatility clustering around earnings releases. The proposed Hawkes LSTM model introduces a decay gating module and a textual information knowledge enhancement module. The decay gating module is specifically designed to more effectively capture the temporal dependencies between events within an event sequence. This allows the model to focus more on recent significant events, with the influence of an event on subsequent events typically diminishing as the temporal interval between them increases. By integrating temporal dependency modeling, the model is enabled to utilize historical data in a more flexible manner. The dynamic state adjustment mechanism further enhances its capacity to capture dynamically changing characteristics. Together, these features provide a more robust and precise solution for volatility prediction. Experimental results on two real-world earnings call datasets show that this approach significantly outperforms existing benchmark models on most prediction horizons, achieving competitive and superior performance and verifying its effectiveness and robustness. Full article
(This article belongs to the Section Engineering)
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13 pages, 3370 KB  
Article
THz ATR-TDS Spectroscopy of Acetone–Water Mixtures: Hydrogen Bonding to Dipole–Dipole Dynamics
by Zahra Mazaheri, Anagha Ramankandath, Junaid Yaseen, Can Koral, Gian Paolo Papari and Antonello Andreone
Int. J. Mol. Sci. 2026, 27(12), 5188; https://doi.org/10.3390/ijms27125188 - 8 Jun 2026
Viewed by 180
Abstract
Attenuated total reflection time-domain spectroscopy (ATR-TDS) in the terahertz regime was employed to investigate the dielectric response of water–acetone mixtures over the full molar concentration range. The ATR configuration enabled stable measurements in a controlled and nearly closed environment, minimizing acetone evaporation and [...] Read more.
Attenuated total reflection time-domain spectroscopy (ATR-TDS) in the terahertz regime was employed to investigate the dielectric response of water–acetone mixtures over the full molar concentration range. The ATR configuration enabled stable measurements in a controlled and nearly closed environment, minimizing acetone evaporation and allowing reliable characterization of this highly volatile binary system. The complex dielectric function, retrieved in the 0.4–1.6 THz range, was analyzed by means of a double Cole–Cole model, which provided a more consistent description of the mixtures than a simple Debye-based approach. A strongly nonlinear dependence on composition was observed, with the highest sensitivity in the water-rich region, where even small amounts of acetone produced a marked change in both the real and imaginary parts of the dielectric function. The extracted parameters indicate that acetone primarily suppresses the slow, cooperative relaxation channel associated with the hydrogen-bond network of water, whereas the faster channel remains comparatively less affected, consistent with its more local intermolecular origin. The evolution of the Kirkwood–Fröhlich correlation factors and of the broadening parameters further supports a progressive transition from a highly correlated hydrogen-bonded liquid to a structurally heterogeneous and weakly cooperative dipolar environment. These results demonstrate that THz ATR-TDS is a sensitive tool for probing intermolecular reorganization in aqueous binary mixtures, providing a physically grounded framework for the detection of acetone and other volatile hydrogen-bond-active species in water-based systems. Full article
(This article belongs to the Section Physical Chemistry and Chemical Physics)
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21 pages, 22203 KB  
Article
Dietary Piper sarmentosum Roxb. Extract Improves Antioxidant Capacity, Lipid Metabolism and Flavor Formation in Male Hainan Black Goat Kids Under Heat Stress
by Guodong Ren, Ziyang Sheng, Yixin Chen, Tingshuo Yang, Nan Zhang, Renlong Lv, Hanlin Zhou and Hailing Luo
Antioxidants 2026, 15(6), 721; https://doi.org/10.3390/antiox15060721 - 5 Jun 2026
Viewed by 295
Abstract
Global warming-induced heat stress causes oxidative imbalance and reduced productivity in livestock. This study investigated the effects of dietary supplementation with Piper sarmentosum Roxb. extract (PSE) on antioxidant capacity, lipid metabolism, and flavor formation in goats under heat stress. Thirty-six healthy 3-month-old male [...] Read more.
Global warming-induced heat stress causes oxidative imbalance and reduced productivity in livestock. This study investigated the effects of dietary supplementation with Piper sarmentosum Roxb. extract (PSE) on antioxidant capacity, lipid metabolism, and flavor formation in goats under heat stress. Thirty-six healthy 3-month-old male Hainan black goat kids were fed a basal diet supplemented with 0, 200, 400, or 600 mg/kg PSE (dry-matter basis) for 105 days. Specifically, PSE significantly enhanced antioxidant capacity, as indicated by increased total antioxidant capacity and glutathione peroxidase activity, along with reduced malondialdehyde levels (p < 0.05). These changes were accompanied by a decrease in n-6 polyunsaturated free fatty acids and a relative increase in saturated fatty acids (p < 0.05), suggesting a potential improvement in lipid oxidative stability. Further flavoromics analysis revealed a marked shift in meat volatile profiles, characterized by increased esters associated with fruity and waxy notes and decreased aldehydes and alcohols contributing to green and herbal odors. Muscle transcriptomic results further indicated enrichment of redox-related pathways, including oxidoreductase activity and reactive oxygen species metabolism. Overall, PSE, particularly at 600 mg/kg, enhanced antioxidant capacity and regulated redox status and lipid metabolism under heat stress, potentially contributing to improved meat oxidative stability and altered flavor compound formation. Full article
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15 pages, 1328 KB  
Article
Mildew-Induced Resistance in Roses Against Spodoptera exigua and Chemical Compounds Produced During the Defense Response
by Guiyan Chen, Ruiqing Jiang, Jun Feng, Guolei Zhu, Bin Yang, Fazhong Yang and Yunxian Li
Molecules 2026, 31(11), 1955; https://doi.org/10.3390/molecules31111955 - 4 Jun 2026
Viewed by 237
Abstract
In the ternary system of Podosphaera pannosa, Spodoptera exigua, and Rosa chinensis, volatiles from infected roses suppress S. exigua oviposition, but the non-volatile-mediated resistance mechanism remains unclear. This study investigated mildew-induced resistance in roses by assessing larval feeding responses to [...] Read more.
In the ternary system of Podosphaera pannosa, Spodoptera exigua, and Rosa chinensis, volatiles from infected roses suppress S. exigua oviposition, but the non-volatile-mediated resistance mechanism remains unclear. This study investigated mildew-induced resistance in roses by assessing larval feeding responses to leaf extracts. Infected rose leaf extracts significantly inhibited larval feeding (68.55% inhibition; t = 4.742, df = 28, p = 0.0002). Untargeted LC-MS metabolomics identified 1046 metabolites in R. chinensis. P. pannosa infection altered the rose metabolome, yielding 64 differentially accumulated metabolites (47 up, 17 down). Among these, five compounds were markedly upregulated: dehydro(11,12) ursolic acid lactone (A), maslinic acid (B), trametenolic acid B (C), betulonic acid (D), and ganolucidic acid B (E). All five inhibited larval feeding. Compound A showed the strongest activity (80.99% at 0.1 mg/mL), with an EC50 of 0.015 mg/mL. EC50 values for compounds BE were 1.256, 0.067, 1.189, and 0.014 mg/mL, respectively. This study elucidates a resistance mechanism of mildew-induced roses and suggests that compounds with low EC50 values (e.g., A and E) warrant further investigation as potential candidates for eco-friendly pest management under laboratory conditions. Full article
(This article belongs to the Section Chemical Biology)
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18 pages, 1564 KB  
Article
Chitosan Coatings with Essential Oil of Schinus lentiscifolia Marchand for the Management of Blue Mold and Preservation of Postharvest Quality of ‘Fuji’ Apples
by André Rodrigues da Costa, Roseli Lopes da Costa Bortoluzzi, Cristiano André Steffens, Viviane Aparecida Figueredo Oliveira Santos, Marcelo Alves Moreira, Bruno Jan Schramm Corrêa, Ricardo Trezzi Casa and Adelar Mantovani
Foods 2026, 15(11), 2023; https://doi.org/10.3390/foods15112023 - 4 Jun 2026
Viewed by 260
Abstract
This study aimed to identify the volatile organic compounds (VOCs) present in the essential oil (EO) of Schinus lentiscifolia and to evaluate the effect of chitosan coatings (1%) enriched with EO of S. lentiscifolia (1000, 2000, and 4000 mg L−1) on [...] Read more.
This study aimed to identify the volatile organic compounds (VOCs) present in the essential oil (EO) of Schinus lentiscifolia and to evaluate the effect of chitosan coatings (1%) enriched with EO of S. lentiscifolia (1000, 2000, and 4000 mg L−1) on the control of Penicillium sp. and on the quality of ‘Fuji’ apples. The EO was extracted from S. lentiscifolia collected in the municipality of Lages, Santa Catarina State, Brazil, in March, May, and November 2022. The antifungal activity of S. lentiscifolia EO against Penicillium sp. was evaluated in vitro. Apples were stored under refrigerated conditions (0 ± 0.5 °C; 90 ± 5% RH) for 30 days and subsequently under ambient conditions (23 ± 3 °C; 70 ± 5% RH) for 5 days. A total of 14 VOCs were identified in the EO of S. lentiscifolia, with the monoterpenes β-pinene (34.68%) and α-pinene (30.61%) as the major compounds, followed by γ-terpinene (10.13%), camphene (9.66%), and o-cymene (7.14%). The application of chitosan coating with S. lentiscifolia EO (2000 mg L−1) reduced the severity of blue mold in ‘Fuji’ apples by 88.1% during refrigerated storage and by 69.2% under ambient conditions. Ethylene production by the apples was also reduced when treated with chitosan and EO. No influence of the treatments was observed on fruit quality attributes. The postharvest application of chitosan coatings combined with S. lentiscifolia EO reduces disease caused by Penicillium sp. in ‘Fuji’ apples without affecting fruit quality. Full article
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Article
A Novel Feed Additive Derived from Mushroom-Based Phytonutrients: Effects on Rumen Antioxidant Capacity, Fermentation, and Methane Production
by Maharach Matra, Eakapol Wangkahart, Burarat Phesatcha, Sukruthai Sommai and Metha Wanapat
Vet. Sci. 2026, 13(6), 554; https://doi.org/10.3390/vetsci13060554 - 3 Jun 2026
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Abstract
Mushrooms are considered a significant source of antioxidants, antimicrobials, and phytonutrients. Consequently, they can serve as a phytogenic feed additive to prevent oxidative stress, while improving rumen fermentation efficiency. The aim of the present investigation was to evaluate the effects of bolete mushroom [...] Read more.
Mushrooms are considered a significant source of antioxidants, antimicrobials, and phytonutrients. Consequently, they can serve as a phytogenic feed additive to prevent oxidative stress, while improving rumen fermentation efficiency. The aim of the present investigation was to evaluate the effects of bolete mushroom extract (BME) supplementation on in vitro digestive enzymes, nutrient degradability, antioxidant capacity, rumen fermentation, and methane production. In a completely randomized design, six treatment levels of BME were implemented. The total dry matter (DM) substrate of BME was supplemented at 0%, 1%, 2%, 3%, 4%, and 5%. The results demonstrated that BME increased the activity of digestive enzymes, particularly amylase activity and in vitro dry matter degradability. Importantly, at 4% of the total DM substrate, BME significantly increased levels of total antioxidant and catalase activity, while malondialdehyde activity was reduced. BME addition contributed to an increase in propionate and total volatile fatty acid production, while methane production was decreased. As a result, BME could be effective as a sustainable feed additive comprising phytonutrients to enhance rumen fermentation and reduce methane emissions in ruminants. Full article
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