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13 pages, 1293 KB  
Article
Study of Wax-Solid Deposition and Release-Blockage Effects on SC-CO2 Displacement Dynamics of High-Pour-Point Oil Through Slim Tube Experiments
by Peng Yu
Processes 2026, 14(2), 230; https://doi.org/10.3390/pr14020230 - 9 Jan 2026
Abstract
The quantitative evaluation of the impact of wax-solid deposition on the CO2 displacement of high-pour-point oil has long been a challenge in gas-flooding experiments. This study employs slim tube experiments to simulate the displacement dynamics, and comprehensively evaluates the productivity/injectivity index formula [...] Read more.
The quantitative evaluation of the impact of wax-solid deposition on the CO2 displacement of high-pour-point oil has long been a challenge in gas-flooding experiments. This study employs slim tube experiments to simulate the displacement dynamics, and comprehensively evaluates the productivity/injectivity index formula and the GERG-2008 state equation. The results indicate that the fluctuations in this index remain stable within the 17–20 MPa range and become pronounced within the range of 30–40 MPa. The analysis of seepage velocity reveals an initial increasing trend for supercritical CO2 under the conditions of 30 MPa, 35 MPa, and 40 MPa, followed by inflection points at different time steps. The observed decline in seepage velocity inflection is associated with the occurrence of wax-solid deposition in high-pour-point oil. Notably, there is a significant surge in CO2 seepage velocity at 40 MPa during the latter stage of the experiment due to the release-blockage effect of supercritical CO2. To systematically analyze the influence of wax-solid on the CO2 displacement in high-pour-point oil, a methodological framework is established in this study. This approach enables precise analysis of displacement dynamic characteristics in the target areas and provides pressure parameters for oilfields. Full article
(This article belongs to the Section Petroleum and Low-Carbon Energy Process Engineering)
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21 pages, 4501 KB  
Article
Multidimensional Analysis Reveals the Flavor Quality Formation Mechanism During the Primary Pile Fermentation of Dark Tea
by Dunchao Wu, Yufei He, Juanshu Wen, Hongfa Zheng, Xi Zhao, Penghui Yu, Ni Zhong, Li Niu, Shi Li, Yong Lin, Hao Huang and Zhonghua Liu
Foods 2026, 15(2), 212; https://doi.org/10.3390/foods15020212 - 7 Jan 2026
Abstract
Pile fermentation is a crucial process for developing the characteristic mellow taste and aged aroma of dark tea, yet the internal quality transformation mechanism of this process is still unclear. This study employed a high-sensitivity analytical platform based on gas chromatography–mass spectrometry (GC-MS) [...] Read more.
Pile fermentation is a crucial process for developing the characteristic mellow taste and aged aroma of dark tea, yet the internal quality transformation mechanism of this process is still unclear. This study employed a high-sensitivity analytical platform based on gas chromatography–mass spectrometry (GC-MS) to systematically investigate the dynamic interplay between key chemical components, enzyme activities, and volatile compounds during the pile fermentation of primary dark tea. Our findings revealed a significant decrease in ester-type catechins, crude protein, and protopectin, alongside a notable accumulation of non-ester-type catechins, gallic acid, and soluble components. The multi-enzyme system—comprising PPO/POD, pectinase/cellulase, and protease—cooperatively drove the oxidation of phenols, cell wall degradation, and the release of aromatic precursors. This was complemented by GC-MS analysis, which identified and quantified 103 volatile compounds across nine chemical classes. The total content of volatile compounds increased significantly, with alcohols, esters, and aldehydes/ketones being the dominant groups. Floral and fruity compounds such as linalool and geraniol accumulated continuously, while esters exhibited an initial increase followed by a decrease. Notably, carotenoid degradation products, including β-ionone, were significantly enriched during the later stages. This study revealed a “oxidation–hydrolysis–reconstruction” metabolic mechanism co-driven by microbial activity and a multi-enzyme system, providing a theoretical foundation for the precise regulation of pile fermentation and targeted quality improvement of primary dark tea. Full article
(This article belongs to the Special Issue Tea Technology and Resource Utilization)
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26 pages, 7097 KB  
Article
Two-Phase Distributed Genetic-Based Algorithm for Time-Aware Shaper Scheduling in Industrial Sensor Networks
by Ray-I Chang, Ting-Wei Hsu and Yen-Ting Chen
Sensors 2026, 26(2), 377; https://doi.org/10.3390/s26020377 - 6 Jan 2026
Viewed by 93
Abstract
Time-Sensitive Networking (TSN), particularly the Time-Aware Shaper (TAS) specified by IEEE 802.1Qbv, is critical for real-time communication in Industrial Sensor Networks (ISNs). However, many TAS scheduling approaches rely on centralized computation and can face scalability bottlenecks in large networks. In addition, global-only schedulers [...] Read more.
Time-Sensitive Networking (TSN), particularly the Time-Aware Shaper (TAS) specified by IEEE 802.1Qbv, is critical for real-time communication in Industrial Sensor Networks (ISNs). However, many TAS scheduling approaches rely on centralized computation and can face scalability bottlenecks in large networks. In addition, global-only schedulers often generate fragmented Gate Control Lists (GCLs) that exceed per-port entry limits on resource-constrained switches, reducing deployability. This paper proposes a two-phase distributed genetic-based algorithm, 2PDGA, for TAS scheduling. Phase I runs a network-level genetic algorithm (GA) to select routing paths and release offsets and construct a conflict-free baseline schedule. Phase II performs per-switch local refinement to merge windows and enforce device-specific GCL caps with lightweight coordination. We evaluate 2PDGA on 1512 configurations (three topologies, 8–20 switches, and guard bands δgb{0, 100, 200} ns). At δgb=0 ns, 2PDGA achieves 92.9% and 99.8% CAP@8/CAP@16, respectively, compliance while maintaining a median latency of 42.1 μs. Phase II reduces the average max-per-port GCL entries by 7.7%. These results indicate improved hardware deployability under strict GCL caps, supporting practical deployment in real-world Industry 4.0 applications. Full article
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51 pages, 4344 KB  
Review
Mechanistic Pathways and Product Selectivity in Pyrolysis of PE, PP and PVC: A Foundation for Applied Chemistry in Europe
by Tim Tetičkovič, Dušan Klinar, Klavdija Rižnar and Darja Pečar
Molecules 2026, 31(2), 202; https://doi.org/10.3390/molecules31020202 - 6 Jan 2026
Viewed by 123
Abstract
Plastic streams dominated by polyethylene (PE) including PE HD/MD (High Density/Medium Density) and PE LD/LLD (Low Density/Linear Low Density), polypropylene (PP), and polyvinyl chloride (PVC) across Europe demand a design framework that links synthesis with end of life reactivity, supporting circular economic goals [...] Read more.
Plastic streams dominated by polyethylene (PE) including PE HD/MD (High Density/Medium Density) and PE LD/LLD (Low Density/Linear Low Density), polypropylene (PP), and polyvinyl chloride (PVC) across Europe demand a design framework that links synthesis with end of life reactivity, supporting circular economic goals and European Union waste management targets. This work integrates polymerization derived chain architecture and depolymerization mechanisms to guide selective valorization of commercial plastic wastes in the European context. Catalytic topologies such as Bronsted or Lewis acidity, framework aluminum siting, micro and mesoporosity, initiators, and strategies for process termination are evaluated under relevant variables including temperature, heating rate, vapor residence time, and pressure as encountered in industrial practice throughout Europe. The analysis demonstrates that polymer chain architecture constrains reaction pathways and attainable product profiles, while additives, catalyst residues, and contaminants in real waste streams can shift radical populations and observed selectivity under otherwise similar operating windows. For example, strong Bronsted acidity and shape selective micropores favor the formation of C2 to C4 olefins and Benzene, Toluene, and Xylene (BTX) aromatics, while weaker acidity and hierarchical porosity help preserve chain length, resulting in paraffinic oils and waxes. Increasing mesopore content shortens contact times and limits undesired secondary cracking. The use of suitable initiators lowers the energy threshold and broadens processing options, whereas diffusion management and surface passivation help reduce catalyst deactivation. In the case of PVC, continuous hydrogen chloride removal and the use of basic or redox co catalysts or ionic liquids reduce the dehydrochlorination temperature and improve fraction purity. Staged dechlorination followed by subsequent residue cracking is essential to obtain high quality output and prevent the release of harmful by products within European Union approved processes. Framing process design as a sequence that connects chain architecture, degradation chemistry, and operating windows supports mechanistically informed selection of catalysts, severity, and residence time, while recognizing that reported selectivity varies strongly with reactor configuration and feed heterogeneity and that focused comparative studies are required to validate quantitative structure to selectivity links. In European post consumer sorting chains, PS and PC are frequently handled as separate fractions or appear in residues with distinct processing routes, therefore they are not included in the polymer set analyzed here. Polystyrene and polycarbonate are outside the scope of this review because they are commonly handled as separate fractions and are typically optimized toward different product slates than the gas, oil, and wax focused pathways emphasized here. Full article
(This article belongs to the Special Issue Applied Chemistry in Europe, 2nd Edition)
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19 pages, 15134 KB  
Article
An Optimized Approach for Methane Spectral Feature Extraction Under High-Humidity Conditions
by Yunze Li, Jun Wu, Wei Xiong, Dacheng Li, Yangyu Li, Anjing Wang and Fangxiao Cui
Remote Sens. 2026, 18(1), 175; https://doi.org/10.3390/rs18010175 - 5 Jan 2026
Viewed by 107
Abstract
Fourier transform infrared (FTIR) spectroscopy-based gas remote sensing has been widely applied for long-range atmospheric composition analysis. However, when deployed for longwave infrared methane detection, spectral features of methane are significantly interfered by water vapor variations at the edge of atmospheric window, which [...] Read more.
Fourier transform infrared (FTIR) spectroscopy-based gas remote sensing has been widely applied for long-range atmospheric composition analysis. However, when deployed for longwave infrared methane detection, spectral features of methane are significantly interfered by water vapor variations at the edge of atmospheric window, which compromises detection performance. To address the spectral fitting degradation caused by relative changes between methane and water vapor signals, this study incorporates temperature, relative humidity, and sensing distance into the cost function, establishing a continuous optimization space with concentration path lengths (CLs) as variables, which are the product of the concentration and path length. A hybrid differential evolution and Levenberg–Marquardt (D-LM) algorithm is developed to enhance parameter estimation accuracy. Combined with a three-layer atmospheric model for real-time reference spectrum generation, the algorithm identifies the optimal spectral combination that provides the best match to the measured data. Algorithm performance is validated through two experimental configurations: Firstly, adaptive detection using synthetic spectra covering various humidity–methane concentration combinations is conducted; simulation results demonstrate that the proposed method significantly reduces the mean squared error (MSE) of fitting residuals by 95.8% compared to the traditional LASSO method, effectively enhancing methane spectral feature extraction under high-water-vapor conditions. Then, a continuous monitoring of controlled methane releases over a 500 m open path under high-outdoor-humidity conditions is carried out to validate outdoor performance of the proposed algorithm; field measurement analysis further confirms the method’s robustness, achieving a reduction in fitting residuals of approximately 57% and improving spectral structure fitting. The proposed approach provides a reliable technical pathway for adaptive gas cloud detection under complex atmospheric conditions. Full article
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17 pages, 9590 KB  
Article
Bio-Based Self-Assembly and Hydrophobic Modification for Simultaneously Enhancing Flame Retardancy and Water Resistance of Wood
by Yiran Li, Huidi Zhou and Kaili Zhang
Sustainability 2026, 18(1), 520; https://doi.org/10.3390/su18010520 - 4 Jan 2026
Viewed by 138
Abstract
As an important renewable building material, wood’s flammability significantly limits its application range. This study addresses the environmental pollution issues associated with traditional flame retardants by developing an eco-friendly flame retardant system based on natural biomaterials. Utilizing layer-by-layer self-assembly techniques, sodium phytate, chitosan, [...] Read more.
As an important renewable building material, wood’s flammability significantly limits its application range. This study addresses the environmental pollution issues associated with traditional flame retardants by developing an eco-friendly flame retardant system based on natural biomaterials. Utilizing layer-by-layer self-assembly techniques, sodium phytate, chitosan, sodium alginate, and sodium methyl silicate were sequentially deposited onto the wood surface to construct a multifunctional composite coating. A multifunctional composite coating was constructed on wood surfaces through layer-by-layer self-assembly technology, involving successive deposition of phytic acid sodium, chitosan, sodium alginate, and methyl silicate sodium. Characterization results indicated that the optimized sample WPCSMH achieved a limiting oxygen index of 34.0%, representing a 12% increase compared to untreated wood. Cone calorimetry tests revealed that its peak heat release rate and total heat release were reduced by 57.1% and 25.3%, respectively. Additionally, contact angle measurements confirmed its excellent hydrophobic properties, with an initial contact angle of 111°. Mechanistic analysis reveals that this system significantly enhances flame retardant performance through a synergistic interaction of three mechanisms: gas phase flame retardancy, condensed phase flame retardancy, and free radical scavenging. This research provides a sustainable and innovative pathway for developing environmentally friendly, multifunctional wood-based composites. Full article
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27 pages, 8473 KB  
Article
Dust Dispersion Mechanisms and Rail-Mounted Local Purification in Drill-and-Blast Tunnel Construction
by Haiping Wu, Jiqing Wang, Changming Wan, Zhijian Wu, Ziquan Hu, Yimin Wu, Renjie Song and Lin Wang
Appl. Sci. 2026, 16(1), 519; https://doi.org/10.3390/app16010519 - 4 Jan 2026
Viewed by 101
Abstract
Drill-and-blast tunnel construction continuously releases high-intensity dust during drilling, blasting, and shotcreting, while conventional forced ventilation is often insufficient to control dust migration and worker exposure. This study develops three-dimensional Euler–Lagrange gas–solid two-phase models for these three typical processes to clarify the spatiotemporal [...] Read more.
Drill-and-blast tunnel construction continuously releases high-intensity dust during drilling, blasting, and shotcreting, while conventional forced ventilation is often insufficient to control dust migration and worker exposure. This study develops three-dimensional Euler–Lagrange gas–solid two-phase models for these three typical processes to clarify the spatiotemporal dispersion of polydisperse dust and to explore effective control strategies. The simulations show that all processes generate a persistent high-concentration dust belt near the tunnel face, and a low-velocity recirculation zone at the crown acts as a structural hotspot of dust accumulation that is difficult to purge by longitudinal ventilation. Particle size strongly affects dispersion behaviour: coarse particles rapidly settle near the source under gravity, whereas fine and medium-sized particles remain suspended for long periods and can be transported over long distances, particularly after blasting. Based on these findings, a rail-mounted purification system with a dynamically adjustable position along the tunnel is proposed, and its preferred deployment zones are determined to work synergistically with the main airflow. The system is designed to perform near-source and crown-targeted removal, providing an engineering-oriented “dynamic local purification plus overall ventilation dilution” pathway for improving air quality in drill-and-blast tunnel construction. Full article
(This article belongs to the Special Issue Industrial Safety and Occupational Health Engineering)
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41 pages, 9730 KB  
Review
In-Vehicle Gas Sensing and Monitoring Using Electronic Noses Based on Metal Oxide Semiconductor MEMS Sensor Arrays: A Critical Review
by Xu Lin, Ruiqin Tan, Wenfeng Shen, Dawu Lv and Weijie Song
Chemosensors 2026, 14(1), 16; https://doi.org/10.3390/chemosensors14010016 - 4 Jan 2026
Viewed by 122
Abstract
Volatile organic compounds (VOCs) released from automotive interior materials and exchanged with external air seriously compromise cabin air quality and pose health risks to occupants. Electronic noses (E-noses) based on metal oxide semiconductor (MOS) micro-electro-mechanical system (MEMS) sensor arrays provide an efficient, real-time [...] Read more.
Volatile organic compounds (VOCs) released from automotive interior materials and exchanged with external air seriously compromise cabin air quality and pose health risks to occupants. Electronic noses (E-noses) based on metal oxide semiconductor (MOS) micro-electro-mechanical system (MEMS) sensor arrays provide an efficient, real-time solution for in-vehicle gas monitoring. This review examines the use of SnO2-, ZnO-, and TiO2-based MEMS sensor arrays for this purpose. The sensing mechanisms, performance characteristics, and current limitations of these core materials are critically analyzed. Key MEMS fabrication techniques, including magnetron sputtering, chemical vapor deposition, and atomic layer deposition, are presented. Commonly employed pattern recognition algorithms—principal component analysis (PCA), support vector machines (SVM), and artificial neural networks (ANN)—are evaluated in terms of principle and effectiveness. Recent advances in low-power, portable E-nose systems for detecting formaldehyde, benzene, toluene, and other target analytes inside vehicles are highlighted. Future directions, including circuit–algorithm co-optimization, enhanced portability, and neuromorphic computing integration, are discussed. MOS MEMS E-noses effectively overcome the drawbacks of conventional analytical methods and are poised for widespread adoption in automotive air-quality management. Full article
(This article belongs to the Special Issue Detection of Volatile Organic Compounds in Complex Mixtures)
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14 pages, 1930 KB  
Article
Postharvest Application of Black Mustard (Brassica nigra) Seed Derivatives in Sweet Cherry Packaging for Rot Control
by Patricia Calvo, M.ª José Rodríguez, Manuel J. Serradilla and Mª Josefa Bernalte
Foods 2026, 15(1), 161; https://doi.org/10.3390/foods15010161 - 3 Jan 2026
Viewed by 109
Abstract
Packaging is essential for protecting, distributing, and trading fresh fruit. Antimicrobial packaging, which incorporates natural or synthetic bioactive compounds, can inhibit microbial growth, extend shelf life, and reduce reliance on synthetic fungicides. This study aimed to evaluate the effect of allyl isothiocyanate (AITC), [...] Read more.
Packaging is essential for protecting, distributing, and trading fresh fruit. Antimicrobial packaging, which incorporates natural or synthetic bioactive compounds, can inhibit microbial growth, extend shelf life, and reduce reliance on synthetic fungicides. This study aimed to evaluate the effect of allyl isothiocyanate (AITC), released from black mustard seeds, on the quality and fungal development of ‘Burlat’ sweet cherries during postharvest storage under modified atmosphere. The in vitro and in vivo antimicrobial activity of AITC, released from different amounts of mustard seeds in an ‘Inbox’ system, was compared with fludioxonil, a synthetic fungicide authorised for postharvest use on stone fruits in the European Union. The impact of these treatments on weight loss, headspace gas composition, fruit decay, physicochemical and microbiological quality was also analysed. Results showed that AITC inhibited the in vitro growth of Cladosporium cladosporioides, Monilinia laxa and Penicilium expansum, and significantly reduced Alternaria alternata, Botrytis cinerea, and Geotrichum candidum after 96 h at 25 °C and 99% RH. Treatment with 100 mg of mustard seeds achieved rot control comparable to fludioxonil, while maintaining higher firmness and delaying skin darkening after 28 days. Overall, natural AITC from mustard seeds appears to be a promising alternative for preserving sweet cherry quality. Full article
(This article belongs to the Section Food Engineering and Technology)
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22 pages, 15048 KB  
Review
Catalytic Combustion of Low-Concentration Methane: From Mechanistic Insights to Industrial Applications
by Liang Shuai, Biaohua Chen and Ning Wang
Catalysts 2026, 16(1), 56; https://doi.org/10.3390/catal16010056 - 3 Jan 2026
Viewed by 184
Abstract
Coal mining releases large amounts of low-concentration methane. Its global warming potential per unit mass is about 21 times that of carbon dioxide. Approximately 13.5 billion cubic meters are directly emitted each year without utilization. This results in both energy waste and environmental [...] Read more.
Coal mining releases large amounts of low-concentration methane. Its global warming potential per unit mass is about 21 times that of carbon dioxide. Approximately 13.5 billion cubic meters are directly emitted each year without utilization. This results in both energy waste and environmental issues. Technologies for utilizing methane with concentrations ≥8% are already mature. However, stable treatment of low-concentration methane remains challenging. Issues include unsustainable combustion and interference from impurities. This review provides a comprehensive overview of recent advances in the catalytic combustion of low-concentration methane, systematically examining reaction mechanisms, catalyst development (including noble metal catalysts, non-noble metal catalysts, and the role of supports), combustion methods, and numerical simulations. The analysis reveals that current research faces challenges such as mismatched catalyst performance under real conditions, insufficient combustion system stability, and gaps between numerical simulations and practice. Future work should focus on molecular-level catalyst design, integrated system innovation, and enhancing simulation predictive capabilities, thereby strengthening the link between basic research and engineering applications. This will promote the industrialization of efficient low-concentration methane utilization technologies, ultimately achieving both energy recovery and greenhouse gas emission reduction. Full article
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28 pages, 15492 KB  
Article
Quantitative Evaluation of the Formation and Evolution of Underpressure in Tight Sandstone of the Upper Paleozoic Shanxi Formation, Ordos Basin
by Siyao Liu, Fengqi Zhang, Zhenyu Zhao, Xin Qiao, Jiahao Wang, Jianrong Gao, Yuze Ji and Zongru Lei
Appl. Sci. 2026, 16(1), 475; https://doi.org/10.3390/app16010475 - 2 Jan 2026
Viewed by 329
Abstract
Currently, the formation and evolution processes of overpressure in the Upper Paleozoic tight sandstones of the Ordos Basin are not clearly understood. Taking the Shan 1 Member of the Shanxi Formation in the Yanchang area, southeastern Ordos Basin, as an example, we adopted [...] Read more.
Currently, the formation and evolution processes of overpressure in the Upper Paleozoic tight sandstones of the Ordos Basin are not clearly understood. Taking the Shan 1 Member of the Shanxi Formation in the Yanchang area, southeastern Ordos Basin, as an example, we adopted a numerical simulation method considering pressurization effects (e.g., hydrocarbon generation and disequilibrium compaction) to quantitatively reconstruct the paleo-overpressure evolution history of target sandstone and shale layers before the end of the Early Cretaceous. We calculated two types of formation pressure changes since the Late Cretaceous tectonic uplift: the pressure reduction induced by pore rebound, temperature decrease and pressure release from potential brittle fracturing of overpressured shales, and the pressure increase in tight sandstones caused by overpressure transmission, thus clarifying the abnormal pressure evolution process of the Upper Paleozoic Shanxi Formation tight sandstones in the study area. The results show that at the end of the Early Cretaceous, the formation pressures of the target shale and sandstone layers in the study area reached their peaks, with the formation pressure coefficients of shale and sandstone being 1.41–1.59 and 1.10, respectively. During tectonic uplift since the early Late Cretaceous, temperature decrease and brittle fracture-induced pressure release caused significant declines in shale formation pressure, by 12.95–17.75 MPa and 20.00–25.24 MPa, respectively, resulting in the current shale formation pressure coefficients of 1.00–1.06. In this stage, temperature decrease and pore rebound caused sandstone formation pressure to decrease by 12.07–13.85 MPa and 16.93–17.41 MPa, respectively. Meanwhile, the overpressure transfer from two phases of hydrocarbon charging during the Late Triassic–Early Cretaceous and pressure release from shale brittle fracture during the Late Cretaceous tectonic uplift induced an increase in adjacent sandstone formation pressure, with a total pressure increase of 7.32–8.58 MPa. The combined effects of these three factors have led to the evolution of the target sandstone layer from abnormally high pressure in the late Early Cretaceous to the current abnormally low pressure. This study contributes to a deeper understanding of the formation process of underpressured gas reservoir in the Upper Paleozoic of the Ordos Basin. Full article
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25 pages, 5165 KB  
Article
Impact of Sensor Network Resolution on Methane Leak Characterization in Large Indoor Spaces for Green-Fuel Vessel Applications
by Wook Kwon, Dahye Choi, Soungwoo Park and Jinkyu Kim
Processes 2026, 14(1), 150; https://doi.org/10.3390/pr14010150 - 1 Jan 2026
Viewed by 336
Abstract
A quantitative understanding of methane leakage has become essential for safety design as eco-friendly fuel systems expand in modern ship applications. To address this need, controlled methane-release experiments were conducted in a large indoor chamber (30 × 16 × 20 m) to evaluate [...] Read more.
A quantitative understanding of methane leakage has become essential for safety design as eco-friendly fuel systems expand in modern ship applications. To address this need, controlled methane-release experiments were conducted in a large indoor chamber (30 × 16 × 20 m) to evaluate how sensor-network resolution (1 m vs. 0.5 m spacing) influences dispersion measurement and 5% Lower Explosive Limit (LEL)-based risk assessment. Initial tests with a 1 m grid showed that most sensors detected only low concentrations except for near the release nozzle, demonstrating that coarse spatial resolution cannot capture the primary dispersion pathway or transient peaks. This limitation motivated the use of a 0.5 m high-density sensor network, which enabled clear identification of the dispersion centerline, concentration-gradient development, early detection behavior, and the evolution of diluted regions, particularly under buoyancy-driven plume rise. Experimental results were compared with CFD simulations using the RNG k–ε and k–ω GEKO turbulence models. Strong agreement was obtained in peak concentration, concentration-rise rates during the accumulation phase, and LEL-based dispersion distances. These findings confirm the suitability of the selected turbulence models for predicting methane behavior in large enclosed spaces and highlight the sensitivity of model–experiment agreement to measurement resolution. The results provide an experimentally grounded reference for sensor layout design and verification of gas-detection strategies in ship compartments, fuel-gas preparation rooms, and modular supply units. Overall, the study establishes a methodological framework that integrates high-resolution experiments with CFD modeling to support safer design and operation of methane-fueled vessels. Full article
(This article belongs to the Section Chemical Processes and Systems)
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28 pages, 4873 KB  
Article
MOX Sensors for Authenticity Assessment and Adulteration Detection in Extra Virgin Olive Oil (EVOO)
by Elisabetta Poeta, Estefanía Núñez-Carmona, Veronica Sberveglieri, Alejandro Bernal, Jesús Lozano and Ramiro Sánchez
Sensors 2026, 26(1), 275; https://doi.org/10.3390/s26010275 - 1 Jan 2026
Viewed by 226
Abstract
Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) Extra Virgin Olive Oil (EVOO) are premium products that undergo strict [...] Read more.
Food fraud, particularly in the olive oil sector, represents a pressing concern within the agri-food industry, with implications for consumer trust and product authenticity. Certified products like Protected Designation of Origin (PDO) Extra Virgin Olive Oil (EVOO) are premium products that undergo strict quality controls, must comply with specific production regulations, and generally have a higher market price. These characteristics make them particularly vulnerable to economically motivated adulteration. In this study, the adulteration of PDO EVOO with Olive Pomace Oil (POO) and Olive Oil (OO) was investigated through a combined analytical approach. A traditional technique, gas chromatography–mass spectrometry (GC-MS) combined with solid-phase microextraction (SPME), was employed alongside an innovative method based on an electronic nose equipped with metal oxide semiconductor (MOX) sensors. GC-MS analysis enabled the identification of characteristic volatile compounds, providing a detailed chemical fingerprint of the different oil samples. Concurrently, the MOX sensor array successfully detected variations in the volatile profiles released by the adulterated oils, demonstrating its potential as a rapid and cost-effective screening tool. The complementary use of both techniques highlighted the reliability of MOX sensors in differentiating authentic PDO EVOO from adulterated samples and underscored their applicability in routine quality control and fraud prevention strategies. Full article
(This article belongs to the Special Issue Electrochemical Sensors in the Food Industry: 2nd Edition)
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18 pages, 2119 KB  
Article
Identification of Volatile Organic Compounds as Natural Antifungal Agents Against Botrytis cinerea in Grape-Based Systems
by Mitja Martelanc, Tatjana Radovanović Vukajlović, Melita Sternad Lemut, Lenart Žežlina and Lorena Butinar
Foods 2026, 15(1), 119; https://doi.org/10.3390/foods15010119 - 1 Jan 2026
Viewed by 253
Abstract
Botrytis cinerea Pers., the causal agent of grey mould, causes major economic losses in viticulture by reducing grape and wine quality and yield. Antagonistic yeasts that release bioactive volatile organic compounds (VOCs) represent a sustainable alternative to synthetic fungicides. Here, VOCs produced by [...] Read more.
Botrytis cinerea Pers., the causal agent of grey mould, causes major economic losses in viticulture by reducing grape and wine quality and yield. Antagonistic yeasts that release bioactive volatile organic compounds (VOCs) represent a sustainable alternative to synthetic fungicides. Here, VOCs produced by Pichia guilliermondii strain ZIM624 were identified and assessed for antifungal activity against B. cinerea. 65 VOCs—including higher alcohols, volatile phenols, esters, and terpenes—were detected using two newly developed and validated analytical methods combining automated headspace solid-phase microextraction with gas chromatography–mass spectrometry. A total of 13 VOCs were selected for the bioassays. Fumigation assays demonstrated that terpenes (citronellol, geraniol, nerol, α-terpineol, and linalool) were the most effective inhibitors of B. cinerea mycelial growth (EC50 = 6.3–33.9 μL/L). Strong inhibition was also observed for 4-vinylphenol and isoamyl acetate. In vivo assays confirmed that exposing infected grape berries to P. guilliermondii VOCs significantly reduced grey mould incidence. These results highlight the potential of P. guilliermondii ZIM624 volatiles as natural biofumigants for the eco-friendly management of B. cinerea in grapes. Future research should focus on optimising VOC production, evaluating efficacy under field conditions, and developing formulations for practical application in vineyards and post-harvest storage. Additionally, investigating potential synergistic effects of VOC combinations could lead to more effective biocontrol strategies. Full article
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16 pages, 24942 KB  
Article
Characterization of Volatile Organic Compounds Released by Penicillium expansum and Penicillium polonicum
by Guohua Yin, Kayla K. Pennerman, Wenpin Chen, Tao Wu and Joan W. Bennett
Metabolites 2026, 16(1), 37; https://doi.org/10.3390/metabo16010037 - 1 Jan 2026
Viewed by 302
Abstract
Background/Objectives: Fungi produce a diverse array of metabolites, including various volatile organic compounds (VOCs) with known physiological functions and other biological activities. These metabolites hold significant potential for medical and industrial applications. Within the fungal domain, Penicillium species represent a particularly important group. [...] Read more.
Background/Objectives: Fungi produce a diverse array of metabolites, including various volatile organic compounds (VOCs) with known physiological functions and other biological activities. These metabolites hold significant potential for medical and industrial applications. Within the fungal domain, Penicillium species represent a particularly important group. Methods: This study characterized the VOC profiles of four Penicillium expansum strains (R11, R19, R21, and R27) and one Penicillium polonicum strain (RS1) using the solid-phase microextraction–gas chromatography–mass spectrometry technique. Results: The analysis revealed that the only compound in common among the five strains of Penicillium was phenyl ethanol. The high toxicity of P. polonicum RS1 to Drosophila larvae correlated with its diverse and abundant alkene production. Specifically, alkenes constituted 31.28% of its total VOCs, followed by alcohols at 29.13%. GC-MS analyses detected 22, 17, 22, and 18 specific VOCs from R11, R19, R21, and R27, respectively. Overall, alkenes dominated the R11 profile (17.03%), alcohols were most abundant in R19 (28.82%), and R21 showed the highest combined release of alcohols (23.2%) and alkenes (11.7%), while R27 produced a moderate abundance of alcohols (9.16%) and alkenes (4.19%). Among the P. expansum strains, R11, R21, and R27 exhibited substantially higher toxicity than R19 strain in our previous assessment; these findings are consistent with their respective VOC profiles. Conclusions: The distinct VOC compositions across Penicillium strains significantly influence their biological characteristics and ecological functions. These findings provide a basis for follow-up research into the mechanisms of fungal volatile-mediated toxicity and support the development of biocontrol strategies. Full article
(This article belongs to the Special Issue Mycotoxins and Fungal Secondary Metabolism)
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