Journal of Cleaner Production最新文献

{"title":"Fabrication of smart chitosan composite beads for alleviate boron toxicity in a model plant (Lemna gibba): Characterization, toxicity assessment, and boron removal","authors":"Anıl Yakar, Onur Can Türker, Emel Çakmak, Nuray Yılmaz Baran, Talat Baran","doi":"10.1016/j.jclepro.2025.146038","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.146038","url":null,"abstract":"Excessive boron (B) in aquatic ecosystems poses a significant threat to environmental health and biodiversity. In this respect, an attractive strategy should be evaluated to reduce B toxicity in the water environment and protect aquatic organisms. The study aims to reduce B-induced toxicity in a model plant, <ce:italic>Lemna gibba</ce:italic>, using smart chitosan-magnetic composite beads enriched with keratin, and further enhanced with boron-tolerant bacteria (<ce:italic>Acinetobacter</ce:italic> sp.). We tested different chitosan-magnetic composite beads for their B adsorption capacity, focusing on a specific type enriched with keratin for the first time in the literature. The effects of adding chitosan-magnetic composite beads in a test solution containing B mine effluent to alleviate B toxicity on <ce:italic>L. gibba's</ce:italic> growth parameters (frond number, biomass production, and EC<ce:inf loc=\"post\">50</ce:inf> value) were detailly evaluated in the experiment period. Accordingly, the chitosan-magnetic composite beads with keratin (Mag-Ch-K) demonstrated high B adsorption, with a maximum loading capacity of 2.875 mg/g at pH 7. The relative growth rate of <ce:italic>L. gibba</ce:italic> in a reactor containing Mag-Ch-K beads was measured to be approximately 2-fold (0.2065) higher than that of the control reactor (0.1212) without composite beads at 64 mg L<ce:sup loc=\"post\">−1</ce:sup> B concentration. More importantly, Mag-Ch-K bead significantly increased the plant's tolerance against B in the reactor matrix, as indicated by an EC<ce:inf loc=\"post\">50</ce:inf> value of 44.18 mg L<ce:sup loc=\"post\">−1</ce:sup> compared to 17.17 mg L<ce:sup loc=\"post\">−1</ce:sup> in the control. This study provides a promising approach to mitigate B toxicity in water bodies, offering a practical operation, high growth production, and preventing B pollution shock via modified bead with <ce:italic>Acinetobacter</ce:italic> sp. High B removal (76 %) was also achieved from reactors containing Mag-Ch-K-D through the high B-loading capacities and plant uptake. These dual benefits encourage designers to design chitosan and duckweed-based treatment systems for ecological conservation and pollution management in B-rich waters, such as B mine effluent pollution.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"47 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144515660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"AI-driven predictive framework for CO2 sequestration and enhanced oil recovery: Insights from a depleted oil reservoir","authors":"Ayman Mutahar AlRassas, Dalal Al-Alimi, Kai Zosseder, Mohammed A.A. Al-qaness","doi":"10.1016/j.jclepro.2025.146054","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.146054","url":null,"abstract":"In light of the urgent need to mitigate the atmospheric consequences of carbon dioxide (CO<ce:inf loc=\"post\">2</ce:inf>) emissions while safeguarding the planet and its inhabitants, carbon capture, utilization, and storage (CCUS) emerges as a viable solution. The co-optimization of CO<ce:inf loc=\"post\">2</ce:inf> sequestration and CO<ce:inf loc=\"post\">2</ce:inf>-enhanced oil recovery (CO<ce:inf loc=\"post\">2</ce:inf>-EOR) has become a decisive strategy to simultaneously enhance oil recovery and long-term CO<ce:inf loc=\"post\">2</ce:inf> trapping in depleted oil reservoirs. This study presents efficient techniques for predicting oil recovery and the CO<ce:inf loc=\"post\">2</ce:inf> solubility trapping across over 800 experimental designs using Computer Modelling Optimization and Sensitivity Tool- Artificial Intelligence (CMOST-AI). To improve prediction accuracy and address the complexity, seasonality, outliers, noise, and scatter in the experimental dataset, an efficient preprocessing technique called Improving Distribution Analysis (IDA) and Quantile Transformer (QR) is applied to tackle these challenges. To evaluate their performance, these preprocessing techniques are combined with two advanced deep learning models: the One-Dimensional Convolutional Neural Network (CNN1DF) and the Multilayer Neural Network (MLNNF), both of which have bilateral predictions. It reduces reliance on time-consuming simulations and supports real-time decision-making, offering theoretical insight and field-level applicability. This combination provides robust frameworks that avoid overfitting and consistently outperform, achieving high R<ce:sup loc=\"post\">2</ce:sup> values of 81.20 % and 81.08 % for the full feature set and 82.36 % and 84.21 % for the reduced feature set in predicting both the oil recovery factor and CO<ce:inf loc=\"post\">2</ce:inf> solubility trapping. Furthermore, the results surpass the predictions of the CMOST-AI software models by more than 50 % while avoiding the overfitting problem. The findings illustrate that the proposed frameworks significantly improve predictive performance and effectively address overfitting issues, outperforming many of the compared models.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"51 1","pages":"146054"},"PeriodicalIF":11.1,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144515657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Fabrication and application of high-performance Noria-based organic solvent nanofiltration membranes for low-polarity natural product separation","authors":"Shanshan Zhang, Zhongyang Wang, Shengchao Zhao, Siheng Zhao, Q. Jason Niu, Mingfu Wang","doi":"10.1016/j.jclepro.2025.146009","DOIUrl":"https://doi.org/10.1016/j.jclepro.2025.146009","url":null,"abstract":"This research aimed to develop a high-performance organic solvent nanofiltration (OSN) membrane using porous organic cage Noria and nonplanar molecules to separate low-polarity bioactive components from a representative herbal extract and remove pigments like chlorophylls. The OSN membranes were fabricated and further modified via interfacial polymerization on polysulfone (PSF) ultrafiltration substrates. Among the fabricated membranes, the OSN-10 membrane, prepared by interfacial polymerization of Noria and cyclohexane-1,3,5-tricarbonyl chloride (HTC), demonstrated noteworthy performance. It demonstrated high solvent permeance of both methanol (29.28 L m<ce:sup loc=\"post\">−2</ce:sup>h<ce:sup loc=\"post\">−1</ce:sup>bar<ce:sup loc=\"post\">−1</ce:sup>) and ethanol (16.98 L m<ce:sup loc=\"post\">−2</ce:sup>h<ce:sup loc=\"post\">−1</ce:sup>bar<ce:sup loc=\"post\">−1</ce:sup>). Importantly, a bioactive stilbene, cajaninstilbene acid (CSA), was successfully enriched from pigeon pea leaf extracts using OSN-10 membrane while maintaining a high chlorophyll rejection rate of over 90 %. The Noria-based OSN-10 membrane developed in this work exhibited impressive organic solvent permeability and an optimal molecular weight cut-off, making it highly suitable for CSA separation. Overall, the OSN-10 membrane demonstrated excellent separation performance, remarkable chlorophyll rejection rate, and significant potential for application in low-polarity natural product separation. Also, the membrane process significantly reduces the use of organic solvents, simplifies isolation and purification, and offers cost advantages with industrialization potential compared to traditional solvent extraction methods.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"11 1","pages":"146009"},"PeriodicalIF":11.1,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144515659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Potential of ozone-ultraviolet combined technology on mitigating the aquatic risks of receiving river: The significance of dissolved organic matter","authors":"Wenqi Xue ,&nbsp;Chongjun Zhang ,&nbsp;Han Cui ,&nbsp;Dandan Zhou","doi":"10.1016/j.jclepro.2025.146022","DOIUrl":"10.1016/j.jclepro.2025.146022","url":null,"abstract":"<div><div>Advanced oxidation processes (AOPs) are widely employed in reclaimed water production for aquatic replenishment, primarily for pathogen and organic micropollutant removal. However, the long-term effects of AOPs-treated effluent on overlooked aquatic risks of receiving rivers remain unclear. This study evaluated the ecological effects of O₃ and O₃/UV-treated sulfamethoxazole (SMX)-containing reclaimed water in receiving rivers. Fourier transform ion cyclotron resonance mass spectrometry and metagenomics were integrated to evaluate ecological risks associated with dissolved organic matter (DOM) transformation. Compared to O₃ treatment, O₃/UV enhanced SMX removal by 40% and significantly altered DOM composition. Long-term replenishment with O₃/UV-treated water reduced upstream toxicity by 16%, correlating with residual SMX. Downstream, O₃/UV reduced toxicity by 51% compared to O₃, which increased toxicity by 79% despite 40% greater SMX removal than Control, with toxicity correlating more strongly with DOM molecular weight (MW) than SMX. The O₃/UV process reduced chromosomal antibiotic resistance gene (cARG) transmission risk by 50%, closely linked to DOM molecular composition. Additionally, O₃/UV protocol enhanced the microbial community clustering coefficient by 23% in the receiving river, promoting pollutant-degrading bacteria and the succession of nitrogen-enriched DOM, thereby improving the river's self-purification. These findings highlight O₃/UV's potential to mitigate aquatic risks while emphasizing the need to consider DOM evolution in reclaimed water risk assessments.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146022"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Integrating generative artificial intelligence into green logistics: A systematic review and policy-oriented research agenda","authors":"Asmae El jaouhari ,&nbsp;Ashutosh Samadhiya ,&nbsp;Anil Kumar ,&nbsp;Sunil Luthra","doi":"10.1016/j.jclepro.2025.146018","DOIUrl":"10.1016/j.jclepro.2025.146018","url":null,"abstract":"<div><div>In light of mounting environmental issues, the logistics industry plays a critical role in promoting sustainability. While generative artificial intelligence (GAI) has the potential to revolutionize green logistics, several barriers still prevent its widespread adoption. In existing literature, little is known about applications, drivers, enablers, critical barriers, and challenges associated with implementing GAI along with green logistics. To fill this gap, this study aims to systematically identify and assess the existing body of knowledge on the GAI and green logistics nexus, drawing on a systematic literature review carried out in compliance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) protocol. The study identifies 34 key GAI-driven green logistics applications, 23 drivers and enablers, and 38 major barriers and challenges. The findings illustrate that GAI-driven green logistics applications, such as risk assessment and mitigation, decision support and real-time environmental response, resilience testing and scenario planning, are essential for developing sustainable logistics ecosystems. Organizational readiness, stakeholder collaboration, and supportive regulatory frameworks emerge as crucial enablers, while lack of digital infrastructure, investment costs, and regulatory gaps constitute significant barriers. The study proposes a decision-making framework to prioritize policy initiatives that could promote GAI adoption in green logistics. This research fills current knowledge gaps and has significant implications for supply chain stakeholders, scholars, and policymakers aiming to support sustainable and cutting-edge logistics systems.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146018"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Mitigating curtailments in offshore wind energy: a comparative analysis of new and second-life battery storage solutions","authors":"Riccardo Travaglini,&nbsp;Francesco Superchi,&nbsp;Alessandro Bianchini","doi":"10.1016/j.jclepro.2025.146055","DOIUrl":"10.1016/j.jclepro.2025.146055","url":null,"abstract":"<div><div>Challenging goals set for the energy transition by 2030 are prompting Mediterranean countries to plan significant offshore wind production. However, with the growth of intermittent renewable power fed into the grid, operators may be forced to introduce energy curtailments in the short term, since grid revamping could require more time than new installations. This study aims to evaluate possible management strategies for curtailed energy to assess its impact on the revenues of an offshore wind farm. Li-ion batteries are considered as energy storage systems (BESS) to reduce energy waste. A comparison between brand-new (NBESS) and second-life (SBESS) batteries has been performed to assess the economic and environmental benefits related to the adoption of past vehicle batteries. The first step of the analysis involves the optimization, by means of the levelized cost of energy (LCOE) minimization, of the layout of a floating offshore wind farm located in Sicily. Optimal inter-turbine distances of 14 and 7.5 diameters have been estimated in wind and cross-wind directions, respectively, corresponding to LCOEs ranging between 106 and 135 €/MWh. Then, a sensitivity analysis is carried out by varying the assumptions on curtailed energy remuneration and the daily and monthly distribution of curtailments. The second step of the study focuses on the management of curtailed power in order to evaluate the cost-effectiveness of NBESS and SBESS. Different BESS costs and curtailment scenarios are considered to account for the uncertainties in the energy market and component costs. Across all evaluated scenarios, results show that batteries, if correctly sized, enhance the revenues of the considered 1 GW wind farm up to 450 M€, corresponding to financial gains of 10 % with respect to the Net Present Value of the base plant. Regarding SBESS, although they can reach economic benefits comparable to NBESS only with capital costs of 50 €/kWh, savings of lithium coupled with carbon emission reduction up to 2400 t CO₂-eq can represent a game-changer for a more sustainable diffusion of offshore energy.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146055"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Comparative analysis of generalized additive model and quantile regression model in assessing renewable energy's role in emissions mitigation in West Africa","authors":"Temidayo Alex-Oke ,&nbsp;Olusola Bamisile ,&nbsp;Dongsheng Cai ,&nbsp;Oshinaike Qudus Olalekan ,&nbsp;Abubakar Abdur-Rahmon Olubodun ,&nbsp;Chiagoziem C. Ukwuoma ,&nbsp;Evans Opoku-Mensah ,&nbsp;Qi Huang","doi":"10.1016/j.jclepro.2025.146028","DOIUrl":"10.1016/j.jclepro.2025.146028","url":null,"abstract":"<div><div>West Africa experiences rising carbon emissions driven by rapid urbanization, population growth, and continued dependence on fossil fuels. Despite increasing interest in renewable energy, regional analyses often fail to capture the nonlinear and distributional effects of different energy sources on emissions. Addressing this gap, we investigates how six renewable energy sources influence emissions across varying pollution levels using long-term data (1990–2100) and advanced modeling techniques. Generalized Additive Models (GAM) and Quantile Regression (QR) were employed to assess both average and distribution-specific impacts. The GAM model demonstrated strong predictive performance (R² = 0.996), with deviance explained and error metrics supporting its reliability, indicating that solar and wind energy reduces emissions significantly, particularly in high-pollution scenarios. QR findings showed biomass becomes more effective at higher emission quantiles, while hydropower and nuclear consistently reduce emissions across all quantiles. Additionally, evidence of GDP-emission decoupling at higher quantiles suggests that economic growth can align with emissions reductions. The findings reveal asymmetric impacts across the emissions spectrum, offering a theoretical extension to energy transition models through a dual heterogeneity framework. These insights highlight the importance of context-specific strategies like targeting wind and solar in high-emission areas, promoting biomass in rural zones, and expanding hydropower and nuclear where feasible, informing a more nuanced and effective decarbonization pathways in West Africa.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146028"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Surfactant-assisted ultrasonic degradation of per- and polyfluoroalkyl substances (PFAS): Effect of surfactant concentration","authors":"Olalekan Simon Awoyemi ,&nbsp;Ravi Naidu ,&nbsp;Cheng Fang","doi":"10.1016/j.jclepro.2025.146042","DOIUrl":"10.1016/j.jclepro.2025.146042","url":null,"abstract":"<div><div>Per- and polyfluoroalkyl substances (PFAS) are persistent environmental pollutants known for their resistance to conventional degradation methods. Ultrasonic degradation, a promising advanced oxidation technique, has emerged as a potential solution for breaking down PFAS in water systems. This study investigates the impact of surfactants on the ultrasonic degradation of various PFAS. Three types of surfactants—dodecyltrimethylammonium chloride (DTAC, cationic), sodium dodecylbenzene sulfonate (SDBS, anionic), and Triton X-100 (TX-100, non-ionic) were tested to assist the degradation of PFAS such as perfluorooctanoic acid or PFOA, perfluorooctane sulfonate or PFOS, 6:2 fluorotelomer sulfonate or 6:2 FTS, as well as real-world samples such as aqueous film-forming foam (AFFF), and form fractionate (FF) wastes. Ultrasonication with surfactants was tested at around critical micelle concentration (CMC, high concentration range of 0.25–20 mM) and equal molar concentration (low concentration range of ∼0.02 mM) with that of PFAS. Surfactants around CMC did not enhance PFOA, PFOS and 6:2 FTS degradation. Still, they inhibited their degradation, likely due to the competition at the cavity bubble-water interface to shield PFAS from degradation. However, when low concentrations of surfactants were used, particularly at an equal molar concentration with that of PFAS, the degradation was enhanced. The enhancement was also validated for real-world samples of AFFF and FF. The findings provide insights into the interaction between surfactant and PFAS towards the degradation pathway, revealing surfactant-assisted ultrasonic degradation for PFAS remediation.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146042"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Assessing carbon sink potentials in the built environment: A study of 40 Chinese cities using a bottom-up high-resolution approach","authors":"Xiao Zhou ,&nbsp;Ting Wang ,&nbsp;Xinmin Zhang ,&nbsp;Yi Bao ,&nbsp;Jie Wu ,&nbsp;Xinzhou Chen ,&nbsp;Yanling Lu ,&nbsp;Guoqing Zhou","doi":"10.1016/j.jclepro.2025.146058","DOIUrl":"10.1016/j.jclepro.2025.146058","url":null,"abstract":"<div><div>The built environment is typically considered a source of carbon emissions; however, its potential as a carbon sink has largely been overlooked. This study develops a bottom-up high-resolution approach to estimate carbon sinks in 40 Chinese cities, examining both inter-city and intra-city spatial patterns, disparities, and the contributions of various land use types. The results reveal that total carbon sinks range from 13.25 Mt in Lhasa to 628.12 Mt in Beijing. A general spatial pattern is observed, with higher carbon sink values in central urban areas, which progressively decrease towards the peripheries. The carbon sink-to-emission ratio varies from 0.282 to 0.299, with an average of 0.294, suggesting that the carbon sink in the built environment can offset approximately one-third of its own carbon emissions. In addition, the Gini coefficient indicates significant imbalance in the distribution of carbon sinks within the urban built environment, with Wenzhou (0.797) exhibiting the highest inequality. Analysis of land use further shows that residential areas make the largest contribution, accounting for 42.4 % of total carbon sinks. These findings provide a scientific foundation for optimizing urban carbon storage and inform targeted spatial planning policies, thereby supporting low-carbon and sustainable urban development.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146058"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}

{"title":"Dynamics and interrelationships between antibiotic resistance, organic micropollutants and bacterial communities in full-scale rural constructed wetlands","authors":"A. Margarida Teixeira ,&nbsp;Diana Matos ,&nbsp;Norberta Coelho ,&nbsp;Lahiruni M. Halwatura ,&nbsp;Ivone Vaz-Moreira ,&nbsp;Paula M.L. Castro ,&nbsp;Diana S. Aga ,&nbsp;Célia M. Manaia","doi":"10.1016/j.jclepro.2025.146039","DOIUrl":"10.1016/j.jclepro.2025.146039","url":null,"abstract":"<div><div>Constructed wetlands systems (CWs) are increasingly regarded as promising alternatives or complements to conventional wastewater treatment processes. However, the fate of chemical and biological contaminants in real-world treatment processes is understudied in this type of systems. This study aimed to fill this gap by evaluating the response of three horizontal subsurface flow CWs, in Northern Portugal, planted with <em>Phragmites australis</em>, in operation for &gt;7 years, to reducing the load of fecal contamination, antibiotic resistance genes and organic micropollutants (OMPs).</div><div>Influent, effluent and sediments samples (n = 36) were examined for abundance of cultivable <em>Escherichia coli</em> and total coliforms, total bacteria (16S rRNA gene), 10 genetic biomarkers associated with anthropogenic contamination (<em>uidA,</em> crAssphage, <em>intI1</em>, <em>sul1, ermB, ermF, mefC, qacEΔ1, tetX</em> and <em>aph(3″)-Ib</em>) by quantitative PCR, non-target LC-MS of OMPs and 16S rRNA gene-based bacterial community analysis.</div><div>The three CWs showed reduction values (log-units/mL) up to 4.8 of <em>E. coli</em> and 3.6 of biomarkers, with the highest values observed in warmer periods. No evidence of for the accumulation microbiological contaminants in the sediments was observed. Among the 59 OMPs detected, reduction rates varied, and the concentration of the most abundant pharmaceutical compounds in the final effluent varied –reaching ng/L concentrations of ∼36 000 for fenofibric acid, ∼14 000 for acetaminophen, ∼3000 for oxazepam and ∼2000 for irbesartan, which can be considered high to discharge in the receiving environment. The bacterial community was dominated by members of the class <em>Gammaproteobacteria</em>, with treatment contributing to significant reduction of the relative abundance of members of the classes <em>Clostridia, Bacilli</em> and <em>Actinomycetes.</em> Compared with wastewater, sediments had significantly higher relative abundance of <em>Alphaproteobacteria.</em></div><div>The study confirms that CWs are an adequate alternative for the treatment of domestic wastewater in small communities, although it warns of the need for regular monitoring and adjustment of treatment conditions, especially during cooler periods.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"519 ","pages":"Article 146039"},"PeriodicalIF":9.7,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}