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Application of edible films from fermented Opuntia cochenillifera mucilage in the preservation of minimally processed fruits

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Food Chemistry 2025年 488卷 144849页

作者： Shênia Santos Monteiro Antônia Isabelly Monteiro dos Anjos Anna Clara Batista de Sousa Mikaelly Batista da Silva Shirley Santos Monteiro Emmanuel Pereira Moreira Renata Duarte Almeida Matheus Augusto de Bittencourt Pasquali Federal University of Campina Grande Graduate Program in Engineering and Natural Resources Management Campina Grande 58429-900 Brazil Federal University of Campina Grande Graduate Program in Food Engineering Campina Grande 58429-900 Brazil Department of Agronomy Federal University of Paraiba Areia 58397-000 Brazil Federal University of Paraiba Bananeiras 58220-000 Brazil

This study evaluated a coating based on Opuntia cochenillifera mucilage fermented with Lactobacillus gasseri and starch (MOCF-S) to extend the shelf life of minimally processed melons under refrigeration. The films were characterized according to thickness, solubility, water vapor permeability, optical properties, morphology, Fourier transform infrared spectroscopy (FTIR), and thermal and mechanical properties. The MOCF-S film showed high solubility (96.43 %), greater water vapor permeability (6.13 g/kPa h m 2 ), and a smooth and uniform surface, suggesting compatibility between fermented mucilage and starch. It also demonstrated greater tensile strength and the presence of amide I bands in FTIR, indicating structural interactions. Antimicrobial activity was detected in the contact area against Escherichia coli (6.7 to 7.3 mm) and Staphylococcus aureus (6.7 to 7.7 mm). After 12 days at 5 °C, the coated fruits maintained better titratable acidity and antioxidant compounds compared to the control, demonstrating the potential of the MOCF-S film in postharvest conservation.

关键词： Fourier transform infrared spectroscopy

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Effectiveness of Predicting Event-Level Interception Losses Across Diverse Vegetated Sites Using Statistical Models

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Ecohydrology 2025年第3期18卷

作者： Abigail G. Sandquist Stephen P. Good Gabriel Barinas Scott T. Allen Graduate Program of Hydrologic Sciences University of Nevada Reno Reno Nevada USA Department of Natural Resources and Environmental Science University of Nevada Reno Reno Nevada USA Water Resources Graduate Program Oregon State University Corvallis Oregon USA Biological & Ecological Engineering Department Oregon State University Corvallis Oregon USA

Understanding evaporation from wet canopies across ecosystems is challenged by its spatiotemporal variability and associated observational challenges. Precipitation and throughfall were measured at 22 sites of the National Ecological Observatory Network using consistent methodologies across diverse climates and ecosystems, providing a novel opportunity to examine the performance of statistical models in predicting interception loss from meteorological and canopy-structure data. We used those data to quantify event-level interception losses and found wide variation; median interception loss of small storms (< 10 mm) was 37.7% (39% inter-quartile range), and of large storms (> 50 mm) was 19.8% (20% interquartile range). We found storm gross-precipitation depth was the most important variable for predicting the amount of interception loss (predicting ~70% of the variation), followed by mean canopy height and air temperature. Storm gross-precipitation depth was also an important predictor of interception loss as a percent of storm depth, but much less variation was explained ( R 2 = 0.11, RMSE = 24%). Prediction of percent interception loss improved ( R 2 = 0.32 and RMSE = 19%) by including additional meteorological and vegetation structure characteristics in a random forest model. In addition to demonstrating the greater importance of storm traits over vegetation traits in predicting event interception losses, this analysis showed that relationships between storm traits and interception losses differed among sites; these inconsistent relationships across sites limited the ability for any statistical model to perform well in predicting event-level interception losses across sites, which may justify the use of alternative approaches (e.g. process-based models).

关键词： rainfall partitioning remote sensing throughfall vegetation structure

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Advances in filler-crosslinked membranes for hydrogen fuel cells in sustainable energy generation

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International Journal of Hydrogen Energy 2025年 140卷 745-776页

作者： Aminul Islam Mamun Shahriar Md. Tarekul Islam Siow Hwa Teo M. Azizur R. Khan Yun Hin Taufiq-Yap Suman C. Mohanta Ariyan Islam Rehan Adiba Islam Rasee Khadiza Tul Kubra Md. Munjur Hasan Md. Shad Salman R.M. Waliullah Md. Nazmul Hasan Md. Chanmiya Sheikh Tetsuya Uchida Mrs Eti Awual Mohammed Sohrab Hossain Hussein Znad Md. Rabiul Awual Department of Petroleum and Mining Engineering Jashore University of Science and Technology Jashore 7408 Bangladesh College of Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Chemistry Jashore University of Science and Technology Jashore 7408 Bangladesh Department of Leather Engineering Faculty of Mechanical Engineering Khulna University of Engineering and Technology Khulna 9203 Bangladesh Industrial Chemistry Program Faculty of Science and Natural Resources Universiti Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia Catalysis Science and Technology Research Centre Faculty of Science Universiti Putra Malaysia Serdang 43400 Malaysia Department of Chemistry School of Science The University of Tokyo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan Department of Chemistry Graduate School of Science Osaka University Osaka 560-0043 Japan Institute for Chemical Research Kyoto University Gokasho Uji Kyoto 611-0011 Japan Division of Applied Chemistry Graduate School of Natural Science and Technology Okayama University 1-1 Tsushima-naka 3-Chome Okayama 700-8530 Japan Western Australian School of Mines: Minerals Energy and Chemical Engineering Curtin University GPO Box U 1987 Perth WA 6845 Australia

Fuel cell membranes can be used in various ways to achieve zero-emission transport and energy systems, which offer a promising way to power production due to their higher efficiency compared to the internal combustion engine and the eco-environment. Perfluoro sulfonic acid membranes used for proton exchange membranes (PEMs) have certain drawbacks, like higher fuel permeability and expense, lower mechanical and chemical durability, and proton conductivity under low humidity and above 80 °C temperature. Researchers have drawn their attention to the production of polymer electrolyte membranes with higher proton conductivity, thermal and chemical resilience, maximum power density, lower fuel permeability, and lower expense. For sustainable clean energy generation, a review covering the most useful features of advanced material-associated membranes would be of great benefit to all interested communities. This paper endeavors to explore several types of novel inorganic fillers and crosslinking agents, which have been incorporated into membrane matrices to design the desired properties for an advanced fuel cell system. Membrane parameters such as proton conductivity, the ability of H 2 transport, and the stability of the membrane are described. Research directions for developing fuel cell membranes are addressed based on several challenges suggested. The technological advancement of nanostructured materials for fuel cell applications is believed to significantly promote the future clean energy generation technology in practice.

关键词： Advanced materials Fuel cell Hydrogen gas generation Proton exchange membrane Polymer

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Dechlorination of polychlorinated biphenyls in used transformer oil by accelerated electron beam irradiation

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Journal of the Indian Chemical Society 2025年第6期102卷

作者： Thong, Hoang Trung Hai, Tran Duy Nga, Dinh Thi Van Tuyen, Trinh Tuan, Phan Dinh Ho Chi Minh City University of Natural Resources and Environment 236B Le Van Sy St. Tan Binh District Ho Chi Minh City 70000 Viet Nam Institute of Environmental Science Engineering and Management Industrial University of Ho Chi Minh City 12 Nguyen Van Bao Go Vap District Ho Chi Minh City 70000 Viet Nam Graduate University of Science and Technology 18 Hoang Quoc Viet St. Hanoi 10000 Viet Nam Applied Research Institute of Natural Resources Materials and Environment 58/4 Tran Van Du Tan Binh District Ho Chi Minh City 70000 Viet Nam

Polychlorinated biphenyls (PCBs), classified as persistent organic pollutants, pose significant environmental and health risks. Despite a ban on PCB production and distribution, older electrical equipment containing PCB-laden dielectric oil remains in widespread use, representing a considerable potential source for PCB release into the environment. This study investigated the dechlorination of PCBs in used transformer oil using accelerated electron beam irradiation. Gas chromatography-mass spectrometry analysis identified 15 PCB congeners, primarily tri-chlorobiphenyls, in the oil with 297.37 mg/kg of PCBs. Experimental results demonstrated that electron beam irradiation effectively dechlorinated PCBs, reducing their chlorination levels. A response surface methodology based on a face-centered central composite design was employed to optimize the dechlorination process. Two key factors, radiation dose, and sample depth, were analyzed to determine their individual and interactive effects on PCB dechlorination. A quadratic model was found to predict the dechlorination efficiency accurately. A total residual PCBs concentration below 50 mg/kg can only be achieved through irradiation at a radiation dose exceeding 65 kGy. The optimal sample depth corresponding to a specific radiation dose was determined, providing valuable insights for optimizing experimental conditions. © 2025 Indian Chemical Society

关键词： Electron beam Polychlorinated biphenyls Radiolysis Response surface methodology

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Spatial economic valuation using GIS: Agricultural aspect

Spatial economic valuation using GIS: Agricultural aspect

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28th Asian Conference on Remote Sensing 2007, ACRS 2007

作者： Phoompanich, Surassawadee Narangajavana, Payattipol Kantangkul, Piti Protitan, Rachanee Sustainable Land Use and Natural Resources Management Interdisciplinary Graduate Program Kasetsart University Chatuchak Bangkok 10900 Thailand

ISBN: (纸本)9781615673650

This study have been attempted to use the economic principles for quantifying the economic values of agriculture, using Geographic Information Systems (GIS) to calibrate a spatial representation of the values. The direct use value in the agricultural aspect was conducted by using the benefit transfer approach. To evaluate the value, land use classification which derived from Remote Sensing (RS) data was analyzed in raster-based system and incorporated with socio-economic data. The strength of environmental assets was ranked using its environmental quality and the economic value map was then generated. The results indicated that income from agricultural land use, especially economic crops, is important for people since they are mostly agriculturist. The economic values of agriculture have a range from 107.62 - 2,081.41 baht ($us ≈ 37 baht) per pixel. However, the strength of environmental asset revealed that the study area was not suitable for agriculture and adjacent to reservation area (Khao Yai National Park). The economic value map demonstrates the powerful technology of GIS for analysis of the benefit value. Nevertheless, if the strength and economic values have been dynamically changed, the map of spatial economic value could be generated immediately according to the changed data.

关键词： Geographic information systems

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A novel open-source framework for automatic flocculation kinetics and retention time modelling using image analysis and swarm intelligence

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Journal of Water Process engineering 2025年 74卷

作者： Bankole, Abayomi O. Moruzzi, Rodrigo Negri, Rogério G. Campos, Luiza C. Department of Civil and Environmental Engineering São Paulo State University (UNESP) Bauru Campus São Paulo Brazil Institute of Science and Technology São Paulo State University (UNESP) São Paulo São José dos Campos Brazil Department of Water Resources Management and Agrometeorology COLERM Federal University of Agriculture Abeokuta Nigeria Graduate Program in Natural Disasters (UNESP/CEMADEN) São Paulo São José dos Campos Brazil Centre for Urban Sustainability and Resilience Department of Civil Environmental and Geomatic Engineering University College London Gower Street London WC1E 6BT United Kingdom

Automatic detection of flocculation kinetic mechanisms and total hydraulic retention time (THRT) in multi-chamber systems in series is essential for seamless water treatment modelling. This study presents the first open-source tool for modelling flocculation kinetics and THRT in multi-chambers systems, with their sensitivity to image analysis. This study introduces three key novelties: (1) a non-derivative Secant method for simulating THRT, (2) use of Particle Swarm Optimization (PSO) algorithm to facilitate curve fitting technique for modelling flocculation kinetic coefficients, and (3) automatic retention time modelling directly from floc images, including sensitivity to threshold-based image segmentation. The proposed Secant method demonstrated greater robustness compared to the existing Newton-Raphson method (N-R), as it avoided convergence in cases where the N-R produced negative retention times. The PSO algorithm produced results comparable to the Bayesian approach, with aggregation coefficients of 2.773 × 10⁻⁴ and 1.905 × 10⁻⁴, and breakage coefficients of 1.186 × 10⁻⁶ and 2.656 × 10⁻⁶, at low and high velocity gradients (G), respectively. Flocculation kinetics at low G has steady aggregation followed by a dynamic equilibrium, while high G exhibited rapid formation of fragile flocs, followed by dominant breakage mechanism, and a later lower equilibrium. Scaled G for multi-chamber systems showed that reactor configurations with an immediate low G in the second chamber resulted in an average 50 % decrease in THRT. Finally, aggregation and breakage coefficients were sensitive to image segmentation thresholds, but THRT sensitivity is limited. The deployed model is accessible to improve flocculation modelling for multi-chambers in series (https://***). © 2025 Elsevier Ltd

关键词： Aggregation and breakage coefficients Completely stirred tank reactor Flocculation kinetics Intelligent water treatment monitoring System automation

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Social vulnerability: A driving force in amplifying the overall vulnerability of protected areas to natural hazards

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Heliyon 2025年第4期11卷 e42617页

作者： Pirasteh, Saied Mafi-Gholami, Davood Li, Huxiong Wang, Tao Zenner, Eric K. Nouri-Kamari, Akram Frazier, Tim G. Ghaffarian, Saman Institute of Artificial Intelligence Shaoxing University 508 West Huancheng Road Yuecheng District Zhejiang Province Shaoxing 312000 China Department of Geotechnics and Geomatics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai India Department of Forest Sciences Faculty of Natural Resources and Earth Sciences Shahrekord University Shahrekord *** Iran Metrology Research Group Quality Assessment and Management Systems Research Center Standard Research Institute PO Box 31585-163 Alborz Karaj Iran Department of Ecosystem Science and Management The Pennsylvania State University Forest Resources Building University Park 16802 PA United States Department of Geography Education Farhangian University Tehran Iran Emergency and Disaster Management Program School of Continuing Studies (SCS) Georgetown University Washington DC United States Institute for Risk and Disaster Reduction University College London United Kingdom

Incorporating social vulnerability (SoV) into vulnerability assessments for protected areas provides critical insights for enhancing the resilience and adaptability of these regions to environmental hazards. This study aimed to develop and apply an integrated social-ecological vulnerability assessment framework for a forest-protected area, focusing on scales relevant to management decisions. We collected data from 70 villages within the protected area through structured surveys, interviews, and reviews of secondary socio-economic and environmental datasets. A total of 24 socio-economic and environmental indicators were selected, based on expert consultation and literature review, to quantify the indices of exposure, sensitivity, adaptive capacity, and SoV. These indicators were weighted using the Fuzzy Analytical Hierarchy Process (FAHP) to ensure objective and expert-driven prioritization. Subsequently, the SoV index, derived from socio-economic metrics, was incorporated as a key variable in the exposure assessment. This integration involved 18 additional ecological indicators measured across a spatial grid, enabling a fine-scale analysis of the protected area's exposure, sensitivity, adaptive capacity, and overall vulnerability. Integrating social and ecological dimensions allowed for a spatially explicit evaluation of vulnerability at the grid-cell level, providing granular insights for localized management interventions. The results revealed that SoV significantly influenced the levels of exposure and overall vulnerability across the study area. High SoV values corresponded to areas with elevated overall vulnerability, emphasizing the interplay between social conditions and ecological risks. To enhance resilience in the medium and long term, the study recommends shifting investments toward active community engagement in conservation planning, increasing environmental awareness through education programs, and improving the socio-economic well-being of local commu

关键词： Environmental hazard resilience FAHP Integrated social-ecological framework and vulnerability assessment Protected area management Spatial pattern

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Diffusion of Electric Vehicles and Public and Home Charging Stations in a Two-Sided Market

Diffusion of Electric Vehicles and Public and Home Charging ...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Kishi, Shinnosuke Kotani, Hitomu Matsushima, Kakuya Graduate School of Engineering Kyoto University Department of Urban Management Kyoto Japan Graduate School of Global Environmental Studies Kyoto University Department of Natural Resources Kyoto Japan

ISBN: (纸本)9798350337020

The diffusion of electric vehicles (EV s) is affected by the spread of EV public charging stations (PCSs) and vice versa. Their interactions are often referred to as 'indirect network effects' and analyzed with a two-sided market model. However, the consumer adoption of home charging stations (HCSs), which are considered key drivers of EV deployment, is often ignored. By modeling a two-sided market of EVs and PCSs (i.e., indirect network effects) under the adoption of HCSs, this study explores the EV diffusion process and considers effective strategies for its spread. We examine two cases: in the first, consumer adoption is determined exogenously;in the second, it is determined endoge-nously. In each case, we vary the strength of the indirect network effects, which correspond to the drivers' concern, referred to as 'range anxiety.' Through numerical simulations, we evaluate the market shares of EVs, HCSs, and PCSs, as well as social welfare. Our findings have strategic implications for policymakers seeking to increase the market share of EV s in the presence of different types of charging stations without negative social impacts. © 2023 IEEE.

关键词： Electric vehicles home charging stations indirect network effects public charging stations simulation two-sided market

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Saguinus martinsi: predicted loss of habitat suitability following global warming and insights for the conservation of the species

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Primates 2025年 1-13页

作者： Martins-Oliveira, Angele Tatiane Eisenlohr, Pedro V. Canale, Gustavo Rodrigues Pires-Oliveira, João Carlos José-Silva, Leandro Barros-Rosa, Lucas Moreira, Leandro Santana de Melo, Fabiano Rodrigues Graduate Program in Ecology and Conservation Mato Grosso State University Carlos Alberto Reyes Maldonado Avenida Prof. Dr. Renato Figueiro Varella S/N Bairro: Olaria Caixa Postal 08 Mato Grosso Nova Xavantina CEP 78690-000 Brazil Ecótono Institute (IEco) Rua Jaqueiras 445 Bairro Jardim Jacarandás Mato Grosso Sinop CEP 78557-706 Brazil Noah Soluções Ambientais Rua Rodolfo Ulrich 192 NE Bairro Nossa Senhora Aparecida Mato Grosso Campo Novo Do Parecis Brazil Ecology Laboratory Mato Grosso State University Carlos Alberto Reyes Maldonado 4930 Avenida Perimetral Rogério Silva Mato Grosso Alta Floresta CEP 78580-000 Brazil Institute of Natural Human and Social Sciences - Applied Ecology Group - Federal University of Mato Grosso Avenida Alexandre Ferronato 1200 Bairro: Setor Industrial Mato Grosso Sinop CEP 78550-728 Brazil Graduate Program in Ecology and Natural Resources North Fluminense State University Darcy Ribeiro Avenida Alberto Lamego 2000 Rio de Janeiro CEP 28013-620 Brazil Graduate Program in Ecology and Biodiversity Conservation Federal University of Mato Grosso Rua 49 2367 Mato Grosso Cuiabá CEP 78060-900 Brazil Muriqui Institute of Biodiversity Vila Euclydes Etiene Arreguy Filho 102/ap 303 Centro Minas Gerais Caratinga CEP 35300-372 Brazil Department of Forestry Engineering Federal University of Viçosa Avenida Purdue S/N Minas Gerais Viçosa CEP 36570-900 Brazil

Global climate change is directly influenced by human actions due to land use and occupation. In this way, factors related to environments conditions, concomitant with anthropogenic impacts, determine the suitability of environments for species. We analyze the present-day and future suitability of environments for Saguinus martinsi, a primate species endemic to the Brazilian Amazon region. We analyzed two different greenhouse gas emission scenarios, known as Shared Socioeconomic Pathways (SSPs), one “optimistic” (SSP2-4.5) and the other “pessimistic” (SSP5-8.5), described by the Coupled Model Intercomparison Project. We created the models using climatic, edaphic, and topographic variables based on the Euclidean Distance algorithm. Our results indicate that S. martinsi may face severe threats in the near future as a consequence of climate change, given that no environmentally suitable areas were identified for the species in either of the future climate scenarios analyzed. We understand that it is necessary to expand searches for the presence and/or absence of the species in potentially environmentally suitable areas, in addition to consolidating measures to mitigate environmental impacts for the conditions found. © The Author(s), under exclusive licence to Primate Society of Japan 2025.

关键词： Conservation Environmental suitability Mammals Neotropical primates

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Environmental impact prediction using remote sensing images

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Journal of Zhejiang University-Science A(Applied Physics & engineering) 2008年第3期9卷 381-390页

作者： Pezhman ROUDGARMI Masoud MONAVARI Jahangir FEGHHI Jafar NOURI Nematollah KHORASANI Tehran Agricultural and Natural Resources Research Center Agricultural Research and Education Organization (AREO) Tehran Iran Department of Environmental Management Graduate School of the Environment and Energy Science and Research Campus IAU Tehran Iran Department of Environmental Science Graduate School of the Environment and Energy Science and Research Campus IAU Tehran Iran Department of Forestry and Forest Economics Faculty of Natural Resources University of Tehran Karaj Iran Department of Environmental Health Engineering School of Public Health and Center for Environmental Research Medical Science University of Tehran Tehran Iran Department of Environmental Science Faculty of Natural ResourcesUniversity of TehranKarajIran

Environmental impact prediction is an important step in many environmental studies. A wide variety of methods have been developed in this concern. During this study, remote sensing images were used for environmental impact prediction in Ro-batkarim area, Iran, during the years of 2005～2007. It was assumed that environmental impact could be predicted using time series satellite imageries. natural vegetation cover was chosen as a main environmental element and a case study. Environmental impacts of the regional development on natural vegetation of the area were investigated considering the changes occurred on the extent of natural vegetation cover and the amount of biomass. Vegetation data, land use and land cover classes (as activity factors) within several years were prepared using satellite images. The amount of biomass was measured by Soil-adjusted Vegetation Index (SAVI) and Normalized Difference Vegetation Index (NDVI) based on satellite images. The resulted biomass estimates were tested by the paired samples t-test method. No significant difference was observed between the average biomass of estimated and control samples at the 5% significance level. Finally, regression models were used for the environmental impacts prediction. All obtained regression models for prediction of impacts on natural vegetation cover show values over 0.9 for both correlation coefficient and R-squared. According to the resulted methodology, the prediction models of projects and plans impacts can also be developed for other environmental elements which may be derived using time series remote sensing images.

关键词： Environmental impact Remote sensing Prediction Vegetation Biomass

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