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Carbon dioxide, global boiling, and climate carnage, from generation to assimilation, photocatalytic conversion to renewable fuels, and mechanism

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science of the Total Environment 2025年 965卷 178629页

作者： Khan, Muhammad Sun, Xiaohui Zada, Amir Azizi, Shohreh Shah, Muhammad Ishaq Ali Khan, Javed Ali Ragab, Ahmed H. Taher, Mostafa A. Abbas, Qumber Han, Changseok College of Civil and Transportation Engineering Shenzhen University 3688 Nanhai Avenue Guangdong Province Shenzhen518060 China Department of Chemistry Abdul Wali Khan University Mardan Mardan23200 Pakistan UNESCO-UNISA Africa Chair in Nanosciences and Nanotechnology College of Graduate Studies University of South Africa Muckleneuk Ridge PO Box 392 Pretoria0002 South Africa Chemistry Department Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Biology Department Faculty of Science and Arts King Khalid University Mohail Assir 61321 Saudi Arabia Department of Technologies and Installations for Waste Management Faculty of Energy and Environmental Engineering Silesian University of Technology Gliwice44-100 Poland Program in Environmental and Polymer Engineering of INHA University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of Department of Environmental Engineering INHA University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of

The increasing CO2 concentration in the atmosphere has substantial impacts on the global temperature. For energy sustainability and minimization of the effects of global warming, an approach to understand CO2 capturing and a carbon neutral culture is extremely essential in the present circumstances. The CO2 emission from vehicles and industries can be minimized using energy cost-effective techniques and can be converted more selectively into reusable fuels via thermochemical, electrochemical, photochemical, photocatalytic, electrocatalytic, biological and inorganic carbonate-based approaches. In this review article, we have discussed the effects of increased global temperature on human beings, economy and climate change. Further, we have discussed the photocatalytic conversion of CO2 (PC-CO2) into gaseous and liquid fuels under solar light driven photocatalysis. The adsorption and activation of CO2, its conversion into various intermediates, their stability and selectivity of the final products have been elaborated comprehensively. The conversion mechanisms of CO2 into CO, CH4, alcohol, aldehyde and carboxylic acid have been discussed in detail. The role of defects and exposed facets of photocatalysts, effect of metal and non-metal dopants, and the additive role of co-catalyst on the mechanisms and selectivity of the conversion products have been discussed comprehensively. Finally, future perspective is discussed to highlight the research gap in the PC-CO2. We hope that this article will help to understand the mechanisms of PC-CO2 and will direct researchers to add their role in the reduction of CO2 to control global warming and make life easier on earth in the coming years. © 2025 Elsevier B.V.

关键词： Kyoto Protocol

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By-products of Baru and Monguba: A review of their potential

Food and Humanity

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Food and Humanity 2025年 4卷

作者： Miranda, Bruna Melo Tovar, Beatriz Carolina Alvez Otero, Deborah Murowaniecki da Silva, Flávio Alves Scalize, Paulo Sergio de Oliveira, Tatianne Ferreira Department of Food Science Nutrition School Federal University of Bahia Canela Campus Bahia Salvador Brazil Department of Food Engineering Agronomy School Federal University of Goiás Goiás Goiânia Brazil Institute of Experimental Biology Faculty of Sciences Central University of Venezuela Caracas Venezuela Graduate Program in Food Science Faculty of Pharmacy Federal University of Bahia Campus Ondina Bahia Salvador Brazil Graduate Program in Food Nutrition and Health Nutrition School Federal University of Bahia Campus Canela Bahia Salvador Brazil School of Civil and Environmental Engineering Federal University of Goiás Goiás Goiânia Brazil

During food processing, large amounts of waste are generated, which compromise the environment and society. The valorization of agri-food by-products has been investigated as a solution to obtain clean energy and value-added materials, improving food security and production profitability. This research focuses on the by-products of baru (Dipteryx alata Vog.) and monguba (Pachira aquatica Aubl.), discussing their applications and biotechnological perspectives. A critical review of the parameters related to the valorization of these by-products was conducted, using publications from 2013 to 2023, prioritizing studies that presented new knowledge. An increase in publications on the topic was observed starting in 2020, with Brazil leading, followed by India, Portugal, and Singapore. Although still underexplored, eight areas of knowledge were identified, with emphasis on food science and chemistry. Monguba lacks technological exploitation and economic value, while baru, despite being more documented, remains underutilized. Both fruits have fractions (epicarp, mesocarp, and endocarp) that are often considered waste but are of scientific interest. The mesocarp of baru is rich in proteins, lipids, carbohydrates, and phenolic compounds with high antioxidant capacity. The by-products of baru and monguba can be used in the extraction of nutraceutical compounds, in the transformation into biomaterials for water impurity removal, in renewable energy production, in food enrichment, and as ingredients in animal feed, improving the quality of eggs and meat. The use of these by-products offers economic and environmental advantages, reducing contamination caused by the improper disposal of agro-industrial waste. It is essential to promote their commercial exploitation and potential applications. © 2024 Elsevier B.V.

关键词： Bioactive compounds Biomaterials By-products application Functional foods Residues recovery Sustainable agriculture

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PHYSIO-CHEMICAL AND ECOLOGICAL MODELING THE FATE OF TOXIC-SUBSTANCES IN NATURAL-WATER SYSTEMS

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ECOLOGICAL MODELLING 1984年第1-4期22卷 145-170页

作者： THOMANN, RV Environmental Engineering and Science Graduate Program Manhattan College Bronx NY 10471 U.S.A.

A basic framework for the modeling of the fate of chemicals in natural water systems is presented. Both the physical/chemical and ecological fate of the substance are considered. The fully time variable equations do not present any significant insight into the general behavior of chemical fate. However, under a steady state assumption and including bottom sediment interactions, relatively simple formulations result that permit rapid calculation of the maximum concentrations that might be expected. It is shown that for a completely mixed lake the ratio of the areal loading rate of the toxicant to the water column concentration is determined by the hydraulic overflow rate and the net loss rate of the toxicant from the water column. Thus, c T = W Ta /q + w T for c T as the total toxicant concentration, W Ta as the areal loading rate of the chemical, q as the hydraulic overflow rate, and w T the net loss of the chemical. The net loss rate w T is a function of all water column and sediment decay rates and interactions. The steady state food chain model of the accumulation of a toxic chemical from both water and food sources is shown to be a means for estimating the parameters of loss and sediment interaction for a lake. The steady state case of the discharge of a chemical into a stream provides a simple means for estimating net loss rates under some reasonable assumptions. Also coupling the food chain model to the physio-chemical model permits the use of chemical concentrations in the fish to estimate the net loss of toxicant in a stream. Application is made to metals concentrations in Lakes Ontario and Michigan and to 1,4 dichlorobenzene in Lake Zurich. The theory indicates that under zero decay of the chemical in the sediment and equal partition coefficients in the sediment and the water column that the chemical in particulates form in the sediment should equal that in the water column. Metals data for Lake Ontario appears to confirm this result at least to order of ma

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Improving the Performance of Asphalt Mixtures with Highly Acidic Aggregates in Central Vietnam Using Modifier Based on Styrene-Butadiene-Styrene and Rosin Resin

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Journal of Materials in Civil engineering 2025年第7期37卷

作者： Nguyen, Lan Ngoc Lee, Hosin David Bui, Lam Tung Kim, Young-Ik Truong, Van Quyet Nguyen, May Huu Nguyen, Du Van Dept. of Construction Materials Faculty of Construction Engineering Univ. of Transport and Communications No. 03 Cau Giay Hanoi100000 Viet Nam Dept. of Civil and Environmental Engineering Iowa Technology Institute The Univ. of Iowa Iowa CityIA52242 United States Research Dept. Hansoo Natech Co. Ltd. 6-20 Yuseong-daero 1205beon-gil Yuseong-gu Daejeon34104 Korea Republic of Civil and Environmental Engineering Program Graduate School of Advanced Science and Engineering Hiroshima Univ. 1-4-1 Kagamiyama Higashi-Hiroshima Hiroshima739-8527 Japan Faculty of Civil Engineering Univ. of Transport and Communications Campus in Ho Chi Minh City Ho Chi Minh City700000 Viet Nam

In Central Vietnam, the aggregate typically originates from highly acidic rocks containing a significant amount of silicon dioxide (SiO2), leading to poor adhesion quality with virgin asphalt binder. Hence, the asphalt mixture production usually needs to utilize adhesion promoters. Based on the chemical compositions of the sample aggregate (up to 72.3% SiO2), research has been conducted to introduce an adhesive agent called rubber modified compound (RMC-160), which is composed of styrene-butadiene-styrene (SBS) with petroleum hydrocarbon resin, treated clay and mineral oil. This article presents the research findings regarding the adhesion effectiveness of RMC-160-modified asphalt binder to high acid-based aggregate through laboratory and field tests, along with the mixture performance under both short-term oven aging (STOA) and long-term oven aging (LTOA). The test results exhibited remarkable effects, whereby the asphalt binder modified with RMC-160 additive significantly increased the adhesion level from Grade 2 to Grade 4, and the asphalt mixtures containing RMC-160 had lower rutting and higher cracking tolerance (CTIndex) under both the STOA and LTOA conditions. © 2025 American Society of Civil Engineers.

关键词： Silicon oxides

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Feeding a high-density pellet improves the size homogeneity of juvenile tambaqui (Colossoma macropomum)

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Animal Feed science and Technology 2025年 325卷

作者： Farias, Ana Beatriz de S. Prestes, Armando G. Dantas, Francisco de M. Oishi, César A. Pastrana, Yugo M. Yamamoto, Fernando Y. Carvalho, Thaís B. Gonçalves, Ligia U. Aquaculture Graduate Program Nilton Lins University AM Brazil Animal Science and Fisheries Graduate Program Federal University of Amazonas AM Brazil National Institute for Amazonian Research (INPA) AM Brazil Laboratory of Feeding Behavior and Fish Nutrition Center of Agricultural Environmental and Biological Sciences Federal University of Recôncavo Bahia (UFRB) BA Brazil Thad Cochran National Warmwater Aquaculture Center Mississippi State University MS United States Department of Wildlife Fisheries and Aquaculture Mississippi State University MS United States Department of Animal Science School of Animal Science and Food Engineering University of São Paulo SP Brazil

This study aimed to evaluate the influence of bulk feed density on feeding behavior, aggressiveness, growth performance, and homogeneity of juvenile tambaqui (Colossoma macropomum). It consisted of three experiments. The first experiment assessed the extrusion process and physical characteristics of diets with different extrusion settings, resulting in high-density pellets (HDP), medium-density pellets (MDP), and low-density pellets (LDP). The second experiment evaluated the growth performance and homogeneity of juvenile tambaqui (23.3 ± 1.7 g, 11.4 ± 0.3 cm) fed these diets. A total of 225 fish were distributed across 15 tanks (500 L, 15 fish/tank) and fed four times daily for nine weeks. The third experiment observed behavioral interactions, including feeding and aggression, by monitoring fish for 360 minutes over three days. Results showed that pellet physical characteristics were significantly influenced by extrusion settings, except for water solubility and absorption. In experiment two, the feed density (HDP, MDP, or LDP) did not affect weight gain, but the coefficient of variation values indicated that fish fed HDP were more homogeneous, with a coefficient of variation of 5.76 %. In experiment three, fish fed MDP exhibited more aggressiveness and social instability. In conclusion, tambaqui fed HDP showed a more stable social hierarchy, less aggression, and smaller size variation, suggesting that HDP may lead to more homogeneous batches during the grow-out stage. © 2025 Elsevier B.V.

关键词： Bulk density Extruder settings Feeding behavioral Homogeneity

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Network analysis with quantum dynamics clarifies why photosystem II exploits both chlorophyll a and b

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science Advances 2025年第19期11卷 eads0327-eads0327页

作者： Kim, Eunchul Lee, Daekyung Sakamoto, Souichi Jo, Ju-Yeon Vargas, Mauricio Ishizaki, Akihito Minagawa, Jun Kim, Heetae Division of Environmental Photobiology National Institute for Basic Biology Okazaki 444-8585 Japan Basic Biology Program Graduate Institute for Advanced Studies SOKENDAI Okazaki 444-8585 Japan Department of Energy Engineering Korea Institute of Energy Technology Naju 58330 South Korea Supply Chain Intelligence Institute Austria Vienna 1030 Austria Institute for Molecular Science Okazaki 444-8585 Japan Graduate School of Energy Science Kyoto University Kyoto 606-8501 Japan Instituto de Matemáticas Universidad de Talca Talca 3460000 Chile Molecular Science Program Graduate Institute for Advanced Studies SOKENDAI Okazaki 444-8585 Japan Department of Chemistry The University of Tokyo Tokyo 113-0033 Japan

In green plants, chlorophyll a and chlorophyll b are the predominant pigments bound to light-harvesting proteins. While the individual characteristics of these chlorophylls are well understood, the advantages of their coexistence remain unclear. In this study, we establish a method to simulate excitation energy transfer within the entire photosystem II supercomplex by using network analysis integrated with quantum dynamic calculations. We then investigate the effects of the coexistence of chlorophyll a and chlorophyll b by comparing various chlorophyll compositions. Our results reveal that the natural chlorophyll composition allows the excited energy to preferentially flow through specific domains that act as safety valves, preventing downstream overflow. Our findings suggest that the light-harvesting proteins in a photosystem II supercomplex achieve evolutionary advantages with the natural chlorophyll a/b ratio, capturing light energy efficiently and safely across various light intensities. Using our framework, one can better understand how green plants harvest light energy and adapt to changing environmental conditions. Copyright © 2025 The Authors, some rights reserved.

关键词： Quantum electronics

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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

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Frontiers of Structural and Civil engineering 2022年第9期16卷 1153-1169页

作者： Van Quan TRAN Van Loi GIAP Dinh Phien VU Riya Catherine GEORGE Lanh Si HO Department of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

The degradation of concrete structure in the marine environment is often related to chloride-induced corrosion of reinforcement ***,the chloride concentration in concrete is a vital parameter for estimating the corrosion level of reinforcement *** research aims at predicting the chloride content in concrete using three hybrid models of gradient boosting(GB),artificial neural network(ANN),and random forest(RF)in combination with particle swarm optimization(PSO).The input variables for modeling include exposure condition,water/binder ratio(W/B),cement content,silica fume,time exposure,and depth of *** results indicate that three models performed well with high accuracy of prediction(R2⩾0.90).Among three hybrid models,the model using GB_PSO achieved the highest prediction accuracy(R2=0.9551,RMSE=0.0327,and MAE=0.0181).Based on the results of sensitivity analysis using SHapley Additive exPlanation(SHAP)and partial dependence plots 1D(PDP-1D),it was found that the exposure condition and depth of measurement were the two most vital variables affecting the prediction of chloride *** the number of different exposure conditions is larger than two,the exposure significantly impacted the chloride content of concrete because the chloride ion ingress is affected by both chemical and physical *** study provides an insight into the evaluation and prediction of the chloride content of concrete in the marine environment.

关键词： gradient boosting random forest chloride content concrete sensitivity analysis

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

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Frontiers of Structural and Civil engineering 2023年第2期17卷 284-305页

作者： Hai-Van Thi MAI May Huu NGUYEN Son Hoang TRINH Hai-Bang LY Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

Fiber-reinforced self-compacting concrete(FRSCC)is a typical construction material,and its compressive strength(CS)is a critical mechanical property that must be adequately *** the machine learning(ML)approach to estimating the CS of FRSCC,the current research gaps include the limitations of samples in databases,the applicability constraints of models owing to limited mixture components,and the possibility of applying recently proposed *** study developed different ML models for predicting the CS of FRSCC to address these *** neural network,random forest,and categorical gradient boosting(CatBoost)models were optimized to derive the best predictive model with the aid of a 10-fold cross-validation technique.A database of 381 samples was created,representing the most significant FRSCC dataset compared with previous studies,and it was used for model *** findings indicated that CatBoost outperformed the other two models with excellent predictive abilities(root mean square error of 2.639 MPa,mean absolute error of 1.669 MPa,and coefficient of determination of 0.986 for the test dataset).Finally,a sensitivity analysis using a partial dependence plot was conducted to obtain a thorough understanding of the effect of each input variable on the predicted CS of *** results showed that the cement content,testing age,and superplasticizer content are the most critical factors affecting the CS.

关键词： compressive strength self-compacting concrete artificial neural network decision tree CatBoost

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-Anh NGUYEN Binh Thai PHAM May Huu NGUYEN Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

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Advanced landfill leachate treatment: Sequential electrocoagulation and electrooxidation system for efficient remediation

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Journal of Water Process engineering 2025年 74卷

作者： Justen, Nicóli Borba, Fernando H. Mayer, Ildemar Seibert, Daiana Inticher, Jonas J. Ferreira Piazzi Fuhr, Ana C. Carissimi, Elvis Leichtweis, Jandira Postgraduate Program of Environment and Sustainable Technologies Federal University of Fronteira Sul Av. Jacob Reinaldo Haupenthal 1580 RS Cerro Largo 97900-000 Brazil Postgraduate Program of Chemical Engineering West Paraná State University Rua da Faculdade 645 Jd. Santa Maria PR Toledo 85903-000 Brazil Materials Science and Engineering Graduate Program Federal University of Pelotas 1 Gomes Carneiro St. RS Pelotas 96010-610 Brazil Department of Sanitation and Environmental Engineering Federal University of Santa Maria Av. Roraima 1000 RS Santa Maria 97105-000 Brazil

The treatment of concentrated landfill leachate generated by nanofiltration and reverse osmosis processes represents a significant challenge. This concentrate is characterized by high concentrations of heavy metals, contaminants of emerging concern, dissolved salts, and organic compounds. In this study, a novel advanced treatment system integrating an Electrocoagulation Reactor with a subsequent electrooxidation process was proposed. Two anode/cathode arrangements were evaluated: electrocoagulation followed by electrooxidation with “boron-doped diamond” and steel electrodes, and electrocoagulation followed by electrooxidation with “boron-doped diamond” and aluminum electrodes, focusing on their effectiveness in degrading contaminants and improving the quality of the treated concentrated landfill leachate. In order to monitor the efficiency of the electrocoagulation process and integrated systems, the degradation of the physicochemical parameters of absorbance at 254 nm, total organic carbon, and turbidity were investigated. Within the best performance, acute toxicity indices (Artemia salina - LC50) were determined and possible degradation and/or formation of contaminants of emerging concern were identified by gas chromatography–mass spectrometry (GC–MS). The results indicated the mineralization of 73 % of total organic carbon and 25 % of total nitrogen, an increase in the biodegradability fraction (BOD5/COD) of the concentrated landfill leachate from 0.18 to 0.35, as well as a significant reduction in toxicity (LC50 of 54.4 %), demonstrated by Artemia salina bioassays. The reduction in toxic potential was also observed in the by-product analysis by GC–MS, which indicated the removal of emerging contaminants such as benzene, 2-(2-methoxy-1-propenyl)-1,3,5-trimethylbenzene, benzothiazole, 2-(methylthio) and phenol, 2,2′-methylenebis[6-(1,1-dimethylethyl)-4-methyl-. These findings highlight that the integration of the electrocoagulation process with electrooxidation us

关键词： Concentrated landfill leachate Contaminants of emerging concern Electrocoagulation Electrooxidation

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