Pub Date : 2025-12-29DOI: 10.1016/j.eti.2025.104725
Y. Yang , J.Q. Liu , Y.X. Sun , Z. Xu , S.N. Dai , H. Sun , J. Zhang , L.R. Celi , X.H. Wu , Y.M. Li , R.X. Chang
The increase of vegetable cultivation areas and frequent plant diseases caused by continuous cropping have made the disposal of phytopathogen-contaminated vegetable waste a pressing problem that needs to be solved. The study carried out a composting experiment of Fusarium oxysporum - contaminated cucumber residues amended with sawdust, sugarcane bagasse, or Chinese herbal residues, in which pathogen concentration was 104CFU/g. Pathogen presence did not disrupt the core biodegradation dynamics of the composting process. After 18 days of composting, the pathogens were effectively removed across all treatments. Sugarcane bagasse emerged as the optimal amendment, as it delivered an 85.47 % Fusarium oxysporum f. sp. Cucumerinum (FOC) removal rate and superior maturity (germination index, GI >80 %). Integrated multi-modal analytics revealed that carbon amendments regulate FOC suppression (83.33–85.47 %) via bacillus-mediated pathways and ammonia emissions, while pH governs GI through organic acid conversion. All treatments developed disease-suppressive microbiomes enriched with Bacillus, Aspergillus, and Penicillium, and also showed reduced occurrence of soil borne diseases. Network analyses confirmed functional redundancy despite pathogen-induced taxonomic shifts. This work establishes a circular economy paradigm where composting transforms phytopathogen-contaminated vegetable waste into a sanitized and disease-suppressive fertilizer.
蔬菜种植面积的增加和连作引起的植物病害的频繁发生，使得植物病原菌污染的蔬菜废弃物的处理成为迫切需要解决的问题。以木屑、甘蔗渣、中草药残渣为基料，以104CFU/g的致病菌浓度对黄瓜尖孢镰刀菌污染的黄瓜残体进行堆肥试验。病原体的存在并没有破坏堆肥过程的核心生物降解动力学。堆肥18天后，所有处理都有效地去除了病原体。甘蔗渣对黄瓜尖孢镰刀菌（Fusarium oxysporum f. sp. Cucumerinum， FOC）的去除率为85.47 %，成熟度（萌发指数，GI >80 %）较优。综合多模态分析表明，碳修正通过杆菌介导的途径和氨排放调节FOC抑制（83.33-85.47 %），而pH通过有机酸转化调节GI。所有处理都产生了富含芽孢杆菌、曲霉和青霉的疾病抑制微生物群，并且还显示出土壤传播疾病的发生率降低。网络分析证实了功能冗余，尽管病原体引起的分类转移。这项工作建立了一个循环经济范式，其中堆肥将植物病原体污染的蔬菜废物转化为消毒和抑制疾病的肥料。
{"title":"From risk to weapon: Composting transforms phytopathogen-contaminated vegetable waste into a sanitized and disease-suppressive fertilizer","authors":"Y. Yang , J.Q. Liu , Y.X. Sun , Z. Xu , S.N. Dai , H. Sun , J. Zhang , L.R. Celi , X.H. Wu , Y.M. Li , R.X. Chang","doi":"10.1016/j.eti.2025.104725","DOIUrl":"10.1016/j.eti.2025.104725","url":null,"abstract":"<div><div>The increase of vegetable cultivation areas and frequent plant diseases caused by continuous cropping have made the disposal of phytopathogen-contaminated vegetable waste a pressing problem that needs to be solved. The study carried out a composting experiment of <em>Fusarium oxysporum</em> - contaminated cucumber residues amended with sawdust, sugarcane bagasse, or Chinese herbal residues, in which pathogen concentration was 10<sup>4</sup>CFU/g. Pathogen presence did not disrupt the core biodegradation dynamics of the composting process. After 18 days of composting, the pathogens were effectively removed across all treatments. Sugarcane bagasse emerged as the optimal amendment, as it delivered an 85.47 % <em>Fusarium oxysporum f. sp. Cucumerinum</em> (FOC) removal rate and superior maturity (germination index, GI >80 %). Integrated multi-modal analytics revealed that carbon amendments regulate FOC suppression (83.33–85.47 %) via bacillus-mediated pathways and ammonia emissions, while pH governs GI through organic acid conversion. All treatments developed disease-suppressive microbiomes enriched with <em>Bacillus</em>, <em>Aspergillus</em>, and <em>Penicillium,</em> and also showed reduced occurrence of soil borne diseases. Network analyses confirmed functional redundancy despite pathogen-induced taxonomic shifts. This work establishes a circular economy paradigm where composting transforms phytopathogen-contaminated vegetable waste into a sanitized and disease-suppressive fertilizer.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104725"},"PeriodicalIF":7.1,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-27DOI: 10.1016/j.eti.2025.104727
G. Altiparmaki , G. Gatidou , Emma Knight , Ian Allan , D. Liakos , A.S. Stasinakis , S. Vakalis
Poly- and perfluoroalkyl substances (PFAS) are frequently detected in sewage sludge and pose significant health risks due to their persistence and bioaccumulation. Hydrothermal carbonization (HTC) offers a promising thermochemical method to manage sewage sludge while destroying embedded PFAS. This study investigated PFAS fate during HTC of PFAS-spiked sewage sludge under varied conditions (200–300 °C, 2 h), including tests on anaerobically digested sludge at 250 °C with different pressures and pH adjustments. Removal efficiencies for seven targeted PFAS were quantified across solid, liquid, and gas phases. The C5–C10 perfluorocarboxylates were removed by over 94 % under all experimental conditions included different temperatures (200–300 °C), pressures (38.3–68.3 bar) and pH rates (7 – 9) with NaOH and KOH, while C11 perfluoroundecanoic acid (PFUnDA) and perfluorooctane sulfonate (PFOS) showed only 55–75 % removal, indicating greater recalcitrance. Mass balance calculations confirmed extensive PFAS degradation, with less than 0.001 % transferred to the gas phase, as verified by UPLC/QTOF analysis. Notably, trace amounts of trifluoroacetic acid (TFA) and perfluoropentanoic acid (PFPeA) were detected in the gas phase at neutral pH but were absent at pH 9. Overall HTC performance (mass balances, pH, Chemical Oxygen Demand (COD)) was evaluated, and phytotoxicity tests highlighted that the resulting hydrochar is unsuitable for use as a soil amendment.
{"title":"Study on the removal of PFAS during hydrothermal carbonization of sewage sludge","authors":"G. Altiparmaki , G. Gatidou , Emma Knight , Ian Allan , D. Liakos , A.S. Stasinakis , S. Vakalis","doi":"10.1016/j.eti.2025.104727","DOIUrl":"10.1016/j.eti.2025.104727","url":null,"abstract":"<div><div>Poly- and perfluoroalkyl substances (PFAS) are frequently detected in sewage sludge and pose significant health risks due to their persistence and bioaccumulation. Hydrothermal carbonization (HTC) offers a promising thermochemical method to manage sewage sludge while destroying embedded PFAS. This study investigated PFAS fate during HTC of PFAS-spiked sewage sludge under varied conditions (200–300 °C, 2 h), including tests on anaerobically digested sludge at 250 °C with different pressures and pH adjustments. Removal efficiencies for seven targeted PFAS were quantified across solid, liquid, and gas phases. The C5–C10 perfluorocarboxylates were removed by over 94 % under all experimental conditions included different temperatures (200–300 °C), pressures (38.3–68.3 bar) and pH rates (7 – 9) with NaOH and KOH, while C11 perfluoroundecanoic acid (PFUnDA) and perfluorooctane sulfonate (PFOS) showed only 55–75 % removal, indicating greater recalcitrance. Mass balance calculations confirmed extensive PFAS degradation, with less than 0.001 % transferred to the gas phase, as verified by UPLC/QTOF analysis. Notably, trace amounts of trifluoroacetic acid (TFA) and perfluoropentanoic acid (PFPeA) were detected in the gas phase at neutral pH but were absent at pH 9. Overall HTC performance (mass balances, pH, Chemical Oxygen Demand (COD)) was evaluated, and phytotoxicity tests highlighted that the resulting hydrochar is unsuitable for use as a soil amendment.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104727"},"PeriodicalIF":7.1,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-27DOI: 10.1016/j.eti.2025.104728
Yao Wang , Ruibing Fan , Guowei Shao , Feng Kang , Kuo Zhang , Jin Kang , Baorui Liang
Chlorinated hydrocarbons contaminate soil and groundwater and pose significant health and ecological risks. Nanoscale zero-valent iron is widely used for in situ remediation, but its reactivity can decline because of oxidation, surface passivation, and particle aggregation. This review first delineates chlorinated hydrocarbon removal mechanisms by nanoscale zero-valent iron, including adsorption, reduction, oxidation, and co-precipitation. We then summarize how pH, dissolved oxygen, coexisting ions, temperature, reaction time, and initial contaminant concentration shape removal outcomes. To quantify multivariable effects, we compiled 5923 experimental datapoints from 90 publications and applied machine learning models with interpretable feature attribution. Reaction time and specific surface area were the strongest synergistic drivers, and their effects leveled off after approximately 4 days and at around 120 m2/g, respectively. The analysis also identified a high-efficiency window within 0.25 day, an economical dosage near 0.2 g/L, and a concentration sensitivity threshold around 25 mg/L. Bicarbonate below 500 mg/L inhibited chlorinated hydrocarbon removal, whereas copper ions promoted reactivity. These quantitative insights can guide the design of modified nanoscale zero-valent iron and hybrid technologies for robust remediation in complex water matrices.
{"title":"Machine learning (ML) reveals the key factors influencing the removal of chlorinated hydrocarbons (CAHs) by nanoscale zero-valent iron (nZVI)","authors":"Yao Wang , Ruibing Fan , Guowei Shao , Feng Kang , Kuo Zhang , Jin Kang , Baorui Liang","doi":"10.1016/j.eti.2025.104728","DOIUrl":"10.1016/j.eti.2025.104728","url":null,"abstract":"<div><div>Chlorinated hydrocarbons contaminate soil and groundwater and pose significant health and ecological risks. Nanoscale zero-valent iron is widely used for in situ remediation, but its reactivity can decline because of oxidation, surface passivation, and particle aggregation. This review first delineates chlorinated hydrocarbon removal mechanisms by nanoscale zero-valent iron, including adsorption, reduction, oxidation, and co-precipitation. We then summarize how pH, dissolved oxygen, coexisting ions, temperature, reaction time, and initial contaminant concentration shape removal outcomes. To quantify multivariable effects, we compiled 5923 experimental datapoints from 90 publications and applied machine learning models with interpretable feature attribution. Reaction time and specific surface area were the strongest synergistic drivers, and their effects leveled off after approximately 4 days and at around 120 m<sup>2</sup>/g, respectively. The analysis also identified a high-efficiency window within 0.25 day, an economical dosage near 0.2 g/L, and a concentration sensitivity threshold around 25 mg/L. Bicarbonate below 500 mg/L inhibited chlorinated hydrocarbon removal, whereas copper ions promoted reactivity. These quantitative insights can guide the design of modified nanoscale zero-valent iron and hybrid technologies for robust remediation in complex water matrices.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104728"},"PeriodicalIF":7.1,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-27DOI: 10.1016/j.eti.2025.104729
Xuanyu Gao , Wanli Xie , Kangze Yuan , Qiqi Liu
Loess, widely distributed globally, is prone to geological hazards due to its metastable structure. Conventional stabilizers (cement, lime) improve its mechanical properties but cause high carbon emissions. This study investigates the effectiveness of fly ash as an eco-friendly stabilizer for loess via multiscale analysis and life cycle assessment (LCA). Unconfined compression tests (UCS) were conducted to evaluate mechanical performance. The UCS of loess stabilized with 20 % fly ash increased by 330.4 % compared with compacted loess. Microstructural evolution is characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray computed tomography (CT). The results show that fly ash particles can fill the inter-aggregate pores, leading to the transformation of macropores and mesopores into small pores and improving cementation. Three-dimensional CT analysis further confirms that with the addition of fly ash, the microstructure becomes denser and the pore morphology evolves toward spherical shapes. LCA demonstrates that compared to conventional stabilizers, fly ash stabilization significantly reduces global warming potential (GWP) and primary energy demand (PED). Compared to stabilization with lime and cement, using fly ash for 1 m³ of loess reduces CO₂ eq emissions by 288.01 kg and 43.09 kg, and decreases PED by 1750.84 MJ and 300.44 MJ, respectively. These findings confirm fly ash as a sustainable stabilizer, supporting geotechnical applications and low-carbon soil improvement.
{"title":"Mechanical properties and microstructural evolution of fly ash stabilized loess: Insights from multiscale analysis and environmental impacts","authors":"Xuanyu Gao , Wanli Xie , Kangze Yuan , Qiqi Liu","doi":"10.1016/j.eti.2025.104729","DOIUrl":"10.1016/j.eti.2025.104729","url":null,"abstract":"<div><div>Loess, widely distributed globally, is prone to geological hazards due to its metastable structure. Conventional stabilizers (cement, lime) improve its mechanical properties but cause high carbon emissions. This study investigates the effectiveness of fly ash as an eco-friendly stabilizer for loess via multiscale analysis and life cycle assessment (LCA). Unconfined compression tests (UCS) were conducted to evaluate mechanical performance. The UCS of loess stabilized with 20 % fly ash increased by 330.4 % compared with compacted loess. Microstructural evolution is characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X-ray computed tomography (CT). The results show that fly ash particles can fill the inter-aggregate pores, leading to the transformation of macropores and mesopores into small pores and improving cementation. Three-dimensional CT analysis further confirms that with the addition of fly ash, the microstructure becomes denser and the pore morphology evolves toward spherical shapes. LCA demonstrates that compared to conventional stabilizers, fly ash stabilization significantly reduces global warming potential (GWP) and primary energy demand (PED). Compared to stabilization with lime and cement, using fly ash for 1 m³ of loess reduces CO₂ eq emissions by 288.01 kg and 43.09 kg, and decreases PED by 1750.84 MJ and 300.44 MJ, respectively. These findings confirm fly ash as a sustainable stabilizer, supporting geotechnical applications and low-carbon soil improvement.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104729"},"PeriodicalIF":7.1,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-25DOI: 10.1016/j.eti.2025.104726
Anjar Dimara Sakti , Yusa Inderapermana , Akiyuki Kawasaki , Cokro Santoso , Hazel Yordan Komara , Eva Musyaerofah , Ikha Magdalena , Like Hana Fournida Purba , Fajar Yulianto , Wakhidatik Nurfaida , Pitri Rohayani , Ketut Wikantika
Coastal areas play a crucial role in supporting economic and social activities, especially in archipelagic countries like Indonesia. However, these regions are increasingly vulnerable to environmental threats, including rising sea levels and significant coastal erosion. This study focuses on Cirebon Regency, a coastal region experiencing dynamic shoreline changes and increasing risk of coastal flooding. The aim of this study is to model priority areas for coastal flood risk mitigation using a Random Forest based machine learning approach. The novelty of this research lies in its integrative framework, which combines multi decadal shoreline change analysis, sea level rise related indicators, and coastal flood vulnerability modelling to derive spatially explicit mitigation priorities at both grid and administrative levels. The results ndicate that the coastal flood risk model identifies the most vulnerable areas, particularly around river mouths and lowland areas, with a vulnerable area of 2296 ha. Additionally, priority areas for coastal flood mitigation were identified through the integration of shoreline dynamics with coastal flood potential models. The analysis revealed 809.7 ha of high-priority areas concentrated in coastal zone, particularly the sub-districts of Kapetakan, Gunung Jati, and Losari. In total, 34 villages were classified as having high to very high risk, requiring targeted mitigation strategies to reduce the impacts of erosion, accretion, and coastal flooding. This study provides an operational framework for policymakers to target limited resources toward the most critical coastal zones, supporting proactive, data driven strategies to minimize economic losses and environmental impacts in vulnerable coastal region.
{"title":"Coastal flood mitigation under dynamic shoreline change: Integrated modeling approach","authors":"Anjar Dimara Sakti , Yusa Inderapermana , Akiyuki Kawasaki , Cokro Santoso , Hazel Yordan Komara , Eva Musyaerofah , Ikha Magdalena , Like Hana Fournida Purba , Fajar Yulianto , Wakhidatik Nurfaida , Pitri Rohayani , Ketut Wikantika","doi":"10.1016/j.eti.2025.104726","DOIUrl":"10.1016/j.eti.2025.104726","url":null,"abstract":"<div><div>Coastal areas play a crucial role in supporting economic and social activities, especially in archipelagic countries like Indonesia. However, these regions are increasingly vulnerable to environmental threats, including rising sea levels and significant coastal erosion. This study focuses on Cirebon Regency, a coastal region experiencing dynamic shoreline changes and increasing risk of coastal flooding. The aim of this study is to model priority areas for coastal flood risk mitigation using a Random Forest based machine learning approach. The novelty of this research lies in its integrative framework, which combines multi decadal shoreline change analysis, sea level rise related indicators, and coastal flood vulnerability modelling to derive spatially explicit mitigation priorities at both grid and administrative levels. The results ndicate that the coastal flood risk model identifies the most vulnerable areas, particularly around river mouths and lowland areas, with a vulnerable area of 2296 ha. Additionally, priority areas for coastal flood mitigation were identified through the integration of shoreline dynamics with coastal flood potential models. The analysis revealed 809.7 ha of high-priority areas concentrated in coastal zone, particularly the sub-districts of Kapetakan, Gunung Jati, and Losari. In total, 34 villages were classified as having high to very high risk, requiring targeted mitigation strategies to reduce the impacts of erosion, accretion, and coastal flooding. This study provides an operational framework for policymakers to target limited resources toward the most critical coastal zones, supporting proactive, data driven strategies to minimize economic losses and environmental impacts in vulnerable coastal region.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104726"},"PeriodicalIF":7.1,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-25DOI: 10.1016/j.eti.2025.104716
Patricia Almendros , Gabriel Gascó , Laura Sánchez-Martin , Alba Martínez-Nuñez , Ana Méndez
This study explores the potential of glycine-based and glycine/NH3 leaching of zinc (Zn) from pyrolyzed black mass (PBM) of spent Zn/C and alkaline batteries to obtain extracts with fertilizer properties. Zinc recovery was optimized under different extractant/black mass ratios, pH levels and particle size. The most effective extraction conditions were achieved using glycine solutions at pH 10, with a particle size < 50 µm, and a molar ratio of 1:8 (Zn:glycine). The effect of the extracts on germination and vigour of vetch, tomato, lettuce and mustard seedlings was evaluated, as well as their impact on Zn availability in the soil, plant nutrient uptake and microbial biomass after application in a lettuce crop. The results showed that the use of glycine at pH 10 (adjusted with NaOH) allowed the extraction of more than 95 % by weight of Zn from PBM. The extracts showed no phytotoxicity, although their effect depended on the dose, pH and plant species. At doses up to 5 mg Zn L-¹ , they improved the development of vetch, lettuce and mustard seedlings. Zn-glycine was as effective as ZnSO₄ in nutrient uptake by lettuce and in increasing Zn availability in the soil. No synergistic effects of Zn and glycine were detected. These findings support the potential of Zn-glycine extracts from battery waste as an alternative source of micronutrients in agriculture, promoting circular economy strategies and sustainable nutrient recycling.
{"title":"Use of zinc-rich extracts recovered from black mass of spent batteries as a sustainable and efficient alternative source of zinc for plants","authors":"Patricia Almendros , Gabriel Gascó , Laura Sánchez-Martin , Alba Martínez-Nuñez , Ana Méndez","doi":"10.1016/j.eti.2025.104716","DOIUrl":"10.1016/j.eti.2025.104716","url":null,"abstract":"<div><div>This study explores the potential of glycine-based and glycine/NH<sub>3</sub> leaching of zinc (Zn) from pyrolyzed black mass (PBM) of spent Zn/C and alkaline batteries to obtain extracts with fertilizer properties. Zinc recovery was optimized under different extractant/black mass ratios, pH levels and particle size. The most effective extraction conditions were achieved using glycine solutions at pH 10, with a particle size < 50 µm, and a molar ratio of 1:8 (Zn:glycine). The effect of the extracts on germination and vigour of vetch, tomato, lettuce and mustard seedlings was evaluated, as well as their impact on Zn availability in the soil, plant nutrient uptake and microbial biomass after application in a lettuce crop. The results showed that the use of glycine at pH 10 (adjusted with NaOH) allowed the extraction of more than 95 % by weight of Zn from PBM. The extracts showed no phytotoxicity, although their effect depended on the dose, pH and plant species. At doses up to 5 mg Zn L-¹ , they improved the development of vetch, lettuce and mustard seedlings. Zn-glycine was as effective as ZnSO₄ in nutrient uptake by lettuce and in increasing Zn availability in the soil. No synergistic effects of Zn and glycine were detected. These findings support the potential of Zn-glycine extracts from battery waste as an alternative source of micronutrients in agriculture, promoting circular economy strategies and sustainable nutrient recycling.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104716"},"PeriodicalIF":7.1,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-25DOI: 10.1016/j.eti.2025.104711
Liuyan Wang , Yinggang Wang , Yun Wang
Antibiotic contamination from tetracyclines (TC) poses significant ecological and public health risks, necessitating effective remediation strategies. Current methods for predicting photocatalytic degradation efficiency often overlook complex, nonlinear interactions in dynamic environmental systems. To address this, we developed a Decision-Based Optimization-enhanced XGBoost (DBO-XGBoost) model tailored to predict and optimize TC degradation using graphitic carbon nitride (g-C₃N₄) photocatalysts. By integrating DBO for targeted hyperparameter tuning within the XGBoost framework, the model effectively captures nonlinear dependencies, achieving superior predictive accuracy (R² = 0.95, RMSE = 0.11). Utilizing a robust dataset of 157 experimental data points, we evaluated eight machine learning models, including traditional (SVR, ANN), advanced (CatBoost, LightGBM), and hybrid (GWO-XGBoost) algorithms. DBO-XGBoost outperformed all models in both performance and robustness. Correlation analysis identified specific surface area and light wavelength as critical factors influencing photocatalytic efficiency, aligning with kinetic principles and providing actionable insights for material and process optimization. Additionally, a theoretical analysis assessed the economic and environmental benefits of g-C₃N₄ photocatalysis, demonstrating its cost-effectiveness and reduced environmental impact compared to traditional methods. This study establishes DBO-XGBoost as a powerful predictive and optimization tool and presents a novel framework for advancing photocatalytic systems to effectively mitigate antibiotic pollution in aquatic environments.
Synopsis
This study developed a machine learning-optimized photocatalytic system for TC degradation, advancing sustainable solutions in environmental remediation.
{"title":"Enhancing tetracycline degradation prediction with hybrid DBO-XGBoost on g-C₃N₄ photocatalysts","authors":"Liuyan Wang , Yinggang Wang , Yun Wang","doi":"10.1016/j.eti.2025.104711","DOIUrl":"10.1016/j.eti.2025.104711","url":null,"abstract":"<div><div>Antibiotic contamination from tetracyclines (TC) poses significant ecological and public health risks, necessitating effective remediation strategies. Current methods for predicting photocatalytic degradation efficiency often overlook complex, nonlinear interactions in dynamic environmental systems. To address this, we developed a Decision-Based Optimization-enhanced XGBoost (DBO-XGBoost) model tailored to predict and optimize TC degradation using graphitic carbon nitride (g-C₃N₄) photocatalysts. By integrating DBO for targeted hyperparameter tuning within the XGBoost framework, the model effectively captures nonlinear dependencies, achieving superior predictive accuracy (R² = 0.95, RMSE = 0.11). Utilizing a robust dataset of 157 experimental data points, we evaluated eight machine learning models, including traditional (SVR, ANN), advanced (CatBoost, LightGBM), and hybrid (GWO-XGBoost) algorithms. DBO-XGBoost outperformed all models in both performance and robustness. Correlation analysis identified specific surface area and light wavelength as critical factors influencing photocatalytic efficiency, aligning with kinetic principles and providing actionable insights for material and process optimization. Additionally, a theoretical analysis assessed the economic and environmental benefits of g-C₃N₄ photocatalysis, demonstrating its cost-effectiveness and reduced environmental impact compared to traditional methods. This study establishes DBO-XGBoost as a powerful predictive and optimization tool and presents a novel framework for advancing photocatalytic systems to effectively mitigate antibiotic pollution in aquatic environments.</div></div><div><h3>Synopsis</h3><div>This study developed a machine learning-optimized photocatalytic system for TC degradation, advancing sustainable solutions in environmental remediation.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104711"},"PeriodicalIF":7.1,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study evaluated the energy and carbon footprints of a household-scale cricket farming system integrating a temperature control system. In the traditional system, container temperatures fluctuated with ambient conditions, limiting winter production to 4.50 cycles per year. In contrast, the hybrid photovoltaic/thermal and heat pump system, consisting of a 4.40 kW PVT unit integrated with a 10.80 kWth heat pump, maintained stable container temperatures of 28–30 °C even when ambient temperatures dropped to 14.50 °C. This temperature stability enabled 5.50 annual cycles, representing a 37.33 % increase in yield compared with the traditional system. The new system achieved an energy footprint of 5.76 MJ/kg and a carbon footprint of 3.45 kgCO2eq/kg, which were lower than those of the traditional system at 7.52 MJ/kg and 4.42 kgCO2eq/kg, respectively. The economic assessment further demonstrated strong financial feasibility, with a payback period of 4.54 years, a net present value of 38,514.36 USD, and an internal rate of return of 21.56 %. These findings confirm that renewable-energy-assisted temperature control systems can enhance productivity, improve environmental performance, and offer economically attractive solutions for temperature-controlled cricket farming.
{"title":"Energy–carbon footprint synergy in a temperature-controlled cricket farming system integrating photovoltaic/thermal and heat pump technologies","authors":"Panuwit Puttaraksa , Tanongkiat Kiatsiriroat , Tanakorn Wongwuttanasatian , Thanyaluk Sundach , Chawaroj Jaisin , Sulaksana Mongkon , Sarawut Polvongsri","doi":"10.1016/j.eti.2025.104724","DOIUrl":"10.1016/j.eti.2025.104724","url":null,"abstract":"<div><div>This study evaluated the energy and carbon footprints of a household-scale cricket farming system integrating a temperature control system. In the traditional system, container temperatures fluctuated with ambient conditions, limiting winter production to 4.50 cycles per year. In contrast, the hybrid photovoltaic/thermal and heat pump system, consisting of a 4.40 kW PVT unit integrated with a 10.80 kW<sub>th</sub> heat pump, maintained stable container temperatures of 28–30 °C even when ambient temperatures dropped to 14.50 °C. This temperature stability enabled 5.50 annual cycles, representing a 37.33 % increase in yield compared with the traditional system. The new system achieved an energy footprint of 5.76 MJ/kg and a carbon footprint of 3.45 kgCO<sub>2</sub>eq/kg, which were lower than those of the traditional system at 7.52 MJ/kg and 4.42 kgCO<sub>2</sub>eq/kg, respectively. The economic assessment further demonstrated strong financial feasibility, with a payback period of 4.54 years, a net present value of 38,514.36 USD, and an internal rate of return of 21.56 %. These findings confirm that renewable-energy-assisted temperature control systems can enhance productivity, improve environmental performance, and offer economically attractive solutions for temperature-controlled cricket farming.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104724"},"PeriodicalIF":7.1,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-24DOI: 10.1016/j.eti.2025.104723
Guanglong Zhang , Yue Ke , Hanyi Li , Xilin Xiao , Jingchun Liu , Haoliang Lu , Chongling Yan , Hualong Hong
Plant litter input is a fundamental driver of carbon cycling in mangrove sediments. However, the mechanisms by which litter decomposition simultaneously regulates soil organic carbon (SOC) accumulation and destabilization remain poorly understood, limiting our ability to predict the stability of blue carbon ecosystems. Herein, we conducted litter addition experiments combined with three-dimensional excitation-emission matrix fluorescence spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry and proton nuclear magnetic resonance, to assess dissolved organic carbon transformation and stability during litter decomposition. Our results demonstrate that litter decomposition alters mangrove sediment properties, with a higher decomposition rate observed in summer compared to winter. During summer, litter-driven carbon accumulation increased significantly (from 20 to 40 g kg⁻¹), characterized by high microbial activity and decarboxylation reactions, leading to substantial accumulation of labile components (e.g., CCCH, XCCH) and a net increase in SOC lability. In contrast, winter decomposition favored preservation pathways, such as dealkylation and oxygen addition, resulting in the enrichment of recalcitrant, carboxyl-rich alicyclic molecules. This mechanistic insight resolves the apparent paradox of simultaneous stability and instability, demonstrating that litter input is a critical determinant of blue carbon fate. Our findings underscore the necessity of incorporating these seasonal dynamics and molecular-level pathways into models for accurate carbon accounting and sustainable management of mangrove ecosystems.
植物凋落物输入是红树林沉积物碳循环的基本驱动力。然而，凋落物分解同时调节土壤有机碳（SOC）积累和不稳定的机制仍然知之甚少，限制了我们预测蓝碳生态系统稳定性的能力。为此，我们结合三维激发发射矩阵荧光光谱、傅立叶变换离子回旋共振质谱和质子核磁共振进行凋落物添加实验，评估凋落物分解过程中溶解有机碳的转化和稳定性。我们的研究结果表明，凋落物分解改变了红树林沉积物的性质，夏季的分解率高于冬季。在夏季，凋落物驱动的碳积累显著增加（从20到40 g kg⁻¹），以高微生物活性和脱羧反应为特征，导致大量不稳定成分（如CCCH， XCCH）的积累和SOC稳定性的净增加。相比之下，冬季分解有利于脱烷基和氧加成等保存途径，从而使顽固的富含羧基的脂环分子富集。这种机制的洞察力解决了同时稳定和不稳定的明显悖论，表明凋落物输入是蓝碳命运的关键决定因素。我们的研究结果强调了将这些季节性动态和分子水平途径纳入模型的必要性，以便对红树林生态系统进行准确的碳核算和可持续管理。
{"title":"Litter-derived dissolved organic matter promotes the accumulation and transformation of unstable organic matter in mangrove sediments","authors":"Guanglong Zhang , Yue Ke , Hanyi Li , Xilin Xiao , Jingchun Liu , Haoliang Lu , Chongling Yan , Hualong Hong","doi":"10.1016/j.eti.2025.104723","DOIUrl":"10.1016/j.eti.2025.104723","url":null,"abstract":"<div><div>Plant litter input is a fundamental driver of carbon cycling in mangrove sediments. However, the mechanisms by which litter decomposition simultaneously regulates soil organic carbon (SOC) accumulation and destabilization remain poorly understood, limiting our ability to predict the stability of blue carbon ecosystems. Herein, we conducted litter addition experiments combined with three-dimensional excitation-emission matrix fluorescence spectroscopy, Fourier transform ion cyclotron resonance mass spectrometry and proton nuclear magnetic resonance, to assess dissolved organic carbon transformation and stability during litter decomposition. Our results demonstrate that litter decomposition alters mangrove sediment properties, with a higher decomposition rate observed in summer compared to winter. During summer, litter-driven carbon accumulation increased significantly (from 20 to 40 g kg⁻¹), characterized by high microbial activity and decarboxylation reactions, leading to substantial accumulation of labile components (e.g., CCCH, XCCH) and a net increase in SOC lability. In contrast, winter decomposition favored preservation pathways, such as dealkylation and oxygen addition, resulting in the enrichment of recalcitrant, carboxyl-rich alicyclic molecules. This mechanistic insight resolves the apparent paradox of simultaneous stability and instability, demonstrating that litter input is a critical determinant of blue carbon fate. Our findings underscore the necessity of incorporating these seasonal dynamics and molecular-level pathways into models for accurate carbon accounting and sustainable management of mangrove ecosystems.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104723"},"PeriodicalIF":7.1,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145939064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-24DOI: 10.1016/j.eti.2025.104720
Shuai Zhang , Kequn Tao , Li Gao , Xu Liu , Ruirui Zhao , Xuechun Liu , Sheng Wang , Liang Ruan , Wei Song , Feng Gao , Linsheng Yang , Fangbiao Tao , Kaiyong Liu
This study aims to investigate the association between urinary exposure to emerging contaminants, pharmaceuticals and personal care products (PPCPs), and sleep disorders, while concurrently delineating the underlying mechanism. Levels of PPCPs were biomonitored in urine samples from 3096 older adults. Logistic quantile regression, weighted quantile sum (WQS) regression, and bayesian kernel machine regression (BKMR) models were subsequently employed to investigate the associations between urinary PPCPs with detection rates ≥ 30 % and sleep disorders. Potential targets linking PPCPs to sleep disorders were identified by screening databases such as PubChem, Swiss Target Prediction, PharmMapper, GeneCards, and OMIM. The STRING database, and Cytoscape software were used to identify the core targets that exhibited the most significant associations with sleep disorders. Functional enrichment analysis, specifically Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, was performed on these core targets using the DAVID database. Finally, molecular docking simulations were conducted using the CB-Dock2 platform to calculate binding energy, and promising complexes were further subjected to molecular dynamics simulations. After covariate adjustment, diethyltoluamide, sulfamonomethoxine, clindamycin, tetracycline, and azithromycin significantly weighted the overall mixture effect. Urinary coexposure to these five PPCPs was positively associated with sleep disorders and interacted with hub targets including caspase-3 (CASP3), akt serine/threonine kinase 1 (AKT1), peroxisome proliferator activated receptor gamma (PPARG), heat shock protein 90 alpha family class a member 1 (HSP90AA1) and heat shock protein 90 alpha family class b member 1 (HSP90AB1), thus influencing the progression of sleep disorders.
{"title":"Underlying mechanisms of PPCPs on sleep disorders in the elderly: An integrated epidemiology and network toxicology study","authors":"Shuai Zhang , Kequn Tao , Li Gao , Xu Liu , Ruirui Zhao , Xuechun Liu , Sheng Wang , Liang Ruan , Wei Song , Feng Gao , Linsheng Yang , Fangbiao Tao , Kaiyong Liu","doi":"10.1016/j.eti.2025.104720","DOIUrl":"10.1016/j.eti.2025.104720","url":null,"abstract":"<div><div>This study aims to investigate the association between urinary exposure to emerging contaminants, pharmaceuticals and personal care products (PPCPs), and sleep disorders, while concurrently delineating the underlying mechanism. Levels of PPCPs were biomonitored in urine samples from 3096 older adults. Logistic quantile regression, weighted quantile sum (WQS) regression, and bayesian kernel machine regression (BKMR) models were subsequently employed to investigate the associations between urinary PPCPs with detection rates ≥ 30 % and sleep disorders. Potential targets linking PPCPs to sleep disorders were identified by screening databases such as PubChem, Swiss Target Prediction, PharmMapper, GeneCards, and OMIM. The STRING database, and Cytoscape software were used to identify the core targets that exhibited the most significant associations with sleep disorders. Functional enrichment analysis, specifically Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, was performed on these core targets using the DAVID database. Finally, molecular docking simulations were conducted using the CB-Dock2 platform to calculate binding energy, and promising complexes were further subjected to molecular dynamics simulations. After covariate adjustment, diethyltoluamide, sulfamonomethoxine, clindamycin, tetracycline, and azithromycin significantly weighted the overall mixture effect. Urinary coexposure to these five PPCPs was positively associated with sleep disorders and interacted with hub targets including caspase-3 (CASP3), akt serine/threonine kinase 1 (AKT1), peroxisome proliferator activated receptor gamma (PPARG), heat shock protein 90 alpha family class a member 1 (HSP90AA1) and heat shock protein 90 alpha family class b member 1 (HSP90AB1), thus influencing the progression of sleep disorders.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"41 ","pages":"Article 104720"},"PeriodicalIF":7.1,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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