Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-03-11DOI: 10.1080/09593330.2025.2473658
Zhaoyang Guo, Zhimin Li, Shuang Li, Zeduan Zheng, Jinrong Lu
{"title":"Visible light-driven metal-free porphyrin assembly-activated peroxydisulfate for the degradation of organic pollutants.","authors":"Zhaoyang Guo, Zhimin Li, Shuang Li, Zeduan Zheng, Jinrong Lu","doi":"10.1080/09593330.2025.2473658","DOIUrl":"10.1080/09593330.2025.2473658","url":null,"abstract":"<p><p>Advanced oxidation technologies that utilise sulfate radicals (·SO<sub>4</sub><sup>-</sup>) hold significant potential for wastewater treatment applications. Employing photogenerated electrons of semiconductor to activate the persulfate system is possible to enhance the efficiency of charge separation in photocatalysts and improve the photocatalytic oxidation ability. This study aims to further enhance the efficiency of photogenerated charge separation of metal-free porphyrin supramolecular photocatalysts and to develop environmentally friendly catalysts for activating peroxydisulfate (PDS). Specifically, the performance of a visible-light-driven metal-free porphyrin aggregate-based photocatalytic system (CTAB-TCPP/PDS) for the degradation of phenol was investigated. The phenol degradation rate of the CTAB-TCPP/PDS system increased by 87% compared to that of pure TCPP catalyst. The separation efficiency of photogenerated carriers can be significantly improved by utilising the photogenerated electrons from porphyrin aggregates to activate PDS. Additionally, various reactive species, such as holes and sulfate radicals, can effectively work together to degrade phenol.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3623-3631"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143604369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-03-04DOI: 10.1080/09593330.2025.2470443
Zhang Wenjuan
{"title":"Content and composition of phthalate esters (PAEs) in surface soil in Xi'an.","authors":"Zhang Wenjuan","doi":"10.1080/09593330.2025.2470443","DOIUrl":"10.1080/09593330.2025.2470443","url":null,"abstract":"<p><p>Taking PAEs in the urban surface soil of Xi'an as the research object, high-performance liquid chromatography (HPLC) was used to detect 6 PAEs (DMP, DEP, BBP, DnBP, DEHP and DnOP) content, that are highly controlled by the United States Department of Environmental Protection (U.S. EPA) in the urban surface soil. The focus was on the accumulation characteristics and composition characteristics of PAEs in urban surface soil. The results show that the average contents of DMP, DEP, BBP, DnBP, DEHP and DnOP in Xi'an's surface soil are 0.10, 0.05, 0.05, 0.52, 0.77, and 0.05 mg·kg<sup>-1</sup>, respectively, and the total amount of 6 PAEs (∑6PAEs) ranges In the range of 0.19∼19.15 mg·kg<sup>-1</sup>, the average value is 1.37 mg·kg<sup>-1</sup>. The average values of DMP, DEP, DnBP and DEHP in the surface soil of Xi 'an exceeded the PAEs control standard of New York State, and the maximum values of DMP, DnBP and DEHP exceeded the PAEs governance standard of New York State. Compared with the PAEs content in other cities, DMP and BBP in the surface soil of Xi'an were at a high level, and DEP, DnBP, DEHP and DnOP were at a medium level. In addition, the distribution of ∑6PAEs in different functional areas is traffic area > Industrial area > mixed area > Park > Cultural and educational area > residential area.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3504-3512"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-02-18DOI: 10.1080/09593330.2025.2464980
Ning Liu, Xinmin Liu, Qingjie Guo
{"title":"Performance and adsorption mechanism of microbial fuel cells in treating industrial wastewater with high salt and nitrogen content.","authors":"Ning Liu, Xinmin Liu, Qingjie Guo","doi":"10.1080/09593330.2025.2464980","DOIUrl":"10.1080/09593330.2025.2464980","url":null,"abstract":"<p><p>Inorganic salts and nitrogen compounds are prevalent in wastewater from chemical, pharmaceutical, and petrochemical industries. Nitrogen-containing wastewater in high-salt environments was treated in an anaerobic fluidised bed microbial fuel cell (AFB-MFC) with carbon brush biofilm anodes and macroporous adsorption resin (MAR) as a multifunctional biofilm carrier. During the experiment, the DO value of the influent was maintained between 0.2-0.5 mg/L, and the nitrogen concentrations in the influent were 0.3, 0.5, and 1.0 g/L, respectively. Materials Studio (MS) software was used to construct nitrogen-containing compounds and MAR models. The simulation result indicated that MAR exhibited the best adsorption performance on nitrite nitrogen, with an adsorption heat of 117.7985 kJ/mol. MAR effectively removes nitrogen-containing compounds through van der Waals forces and hydrogen bonding interactions. The simulation closely matched experimental results, with a high R² (>0.99) indicating strong regression significance. The highest removal efficiency of ammonia nitrogen, nitrite nitrogen, and nitrate nitrogen was 97.97 ± 0.97%, 98.81 ± 1%, and 99 ± 0.47%, respectively. The results showed that the desalination efficiency was 55%, 41.5%, and 27% at salinities of 10, 20, and 30 g/L, respectively. The maximum output voltage and power density achieved using carbon brush as biofilm anodes in the AFB-MFC were 651.34 mV and 174.97 mW/m², respectively. The high-throughput sequencing analysis results revealed a significant relative abundance of the dominant electroactive bacteria present on the carbon brush, such as <i>Proteobacteria</i>, <i>Firmicutes</i>, <i>Bacteroidota</i>, and <i>Chloroflexi</i>, and also identified such superior denitrification bacteria as <i>Citrobacter</i>, <i>Corynebacterium</i>, <i>Pseudomonas</i>, and <i>Castellaniella</i> etc.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":"46 17","pages":"3438-3453"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144474423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Assessment of the chemical pre-treatment methods for the delignification of sugarcane bagasse.","authors":"Jaspreet Kaur, Monica Sachdeva Taggar, Anu Kalia, Gulzar Singh Sanghera, Sunil Kumar Khatkar, Pranav Vashisht, Lovepreet Singh","doi":"10.1080/09593330.2025.2464265","DOIUrl":"10.1080/09593330.2025.2464265","url":null,"abstract":"<p><p>For the extraction of sugars and their subsequent conversion into ethanol, removing lignin from sugarcane bagasse is a major challenge attributed to its recalcitrant nature. This study compares the efficacy of green deep eutectic solvents with conventional acid/alkali pre-treatments for the delignification of sugarcane bagasse. Among different deep eutectic solvent pre-treatments, the maximum removal of lignin i.e. 77.37% was reported when bagasse was treated with choline chloride: formic acid (1:2) for 6 h. The comparison between deep eutectic solvents and conventional acid/alkali pretreatments revealed that acid (H<sub>2</sub>SO<sub>4</sub>) pre-treatment showed no significant reduction in lignin content. However, the alkaline pre-treatment with 1 M NaOH for 60 min resulted in significant removal of lignin content (83.17%) from bagasse compared to deep eutectic solvent pre-treatment. Fourier transform infrared spectroscopy and scanning electron microscopic results of bagasse indicated significant structural alterations after the pre-treatment. The saccharification of alkali-pretreated bagasse with in-house cellulase resulted in a maximum reducing sugar concentration of 54.50 g/L with a hydrolytic efficiency of 67.01%. The batch fermentation of bagasse hydrolysate with <i>Saccharomyces cerevisiae</i> resulted in an ethanol concentration of 9.55 g/L with a fermentation efficiency of 53.81%. This study made a median attempt to identify an effective pre-treatment method to delignifying sugarcane bagasse, ultimately enhancing the enzymatic accessibility and increasing the efficiency of cellulose hydrolysis into fermentable sugars.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3363-3373"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143432481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-02-22DOI: 10.1080/09593330.2025.2462794
Sundaram Meignanalakshmi, Radhakrishnan Legadevi
{"title":"Recycling slaughterhouse waste rumen fluid for biodegradable bioplastic production from <i>Bacillus tequilensis</i> KU 844284.","authors":"Sundaram Meignanalakshmi, Radhakrishnan Legadevi","doi":"10.1080/09593330.2025.2462794","DOIUrl":"10.1080/09593330.2025.2462794","url":null,"abstract":"<p><p>In the present study, bioplastic - producing <i>Bacillus tequilensis</i>, a gram-positive rod, was isolated from slaughterhouse waste rumen fluid. Polyhydroxy butyrate (PHB) was produced from <i>B. tequilensis</i> using nitrogen-deficient Minimal medium (NDMM) and slaughterhouse waste rumen fluid (SHWRF). <i>B. tequilensis</i> produced PHB 4.51 ± 0.06 g/L and 1.60 ± 0.04 g/L from SHWRF and NDMM medium, respectively. Thermal stability, biodegradability, and biocompatibility were among the desirable properties of the PHB that were confirmed by FTIR, XRD, TGA, and DSC analysis. The PHB produced by using the SHWRF medium was degraded at a rate of 60.30% in 45 days. The in vitro cytotoxicity assay using the 3T3-L1 fibroblast cell line demonstrated that it is not harmful. This is the first report of bioplastic production by <i>B.tequilensis</i> using slaughterhouse waste rumen fluid. Rumen fluid from slaughterhouse waste can be recycled to produce biodegradable bioplastic.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3284-3299"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-03-03DOI: 10.1080/09593330.2025.2467293
Andreas Nocker, Yassin Kaspareit, Denise Windrich, Bernd Bendinger
{"title":"Reduction of bacterial regrowth potential by membrane filtration for different water types and different pore sizes.","authors":"Andreas Nocker, Yassin Kaspareit, Denise Windrich, Bernd Bendinger","doi":"10.1080/09593330.2025.2467293","DOIUrl":"10.1080/09593330.2025.2467293","url":null,"abstract":"<p><p>Membrane filtration removes microorganisms and particles from water. If the filtrate enters a non-sterile environment, bacterial regrowth occurs. The question arises as to how much regrowth potential is removed by membrane filtration. This study investigated the extent of regrowth of autochthonous bacteria in water from a building with integrated ultrafilter and in treated wastewater that had undergone ultrafiltration in the context of water reuse. The 7-day regrowth of filtrates was reduced on average by approx. 69% and 20% compared to the non-filtered waters. To better understand the behaviour and kinetics of regrowth and how much of the nutrient pool is retained by stripping water of its biomass, three different water types (drinking water, river water and reservoir water) were subjected in a laboratory study to membrane filtration using pore sizes between 0.45 µm down to 0.05 µm. The reduction in the regrowth potential depended on the water type. Filtration reduced the 7-day regrowth potential most strongly in case of drinking water (≥70%), while the reduction was less pronounced for river water and reservoir water (approx. 40%). The kinetics of regrowth over 14 days differed significantly between the water types with peak regrowth reached fastest in case of filtered river water (4 days), followed by filtered reservoir water (4-7 days) and slowest in case of filtered drinking water (14 days). There were also distinct differences in the unfiltered waters, with positive regrowth in case of drinking water and negative regrowth in case of reservoir and river water.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3492-3503"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143540849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-02-16DOI: 10.1080/09593330.2025.2464979
Si-Yuan Ma, Xiao-Kang Wang, Sijia Cheng, Ye Liu, Ya-Nan Wang, Jian-Qiang Wang
{"title":"Improving carbon dioxide emission predictions through a hybrid model utilising an advanced sparrow search algorithm.","authors":"Si-Yuan Ma, Xiao-Kang Wang, Sijia Cheng, Ye Liu, Ya-Nan Wang, Jian-Qiang Wang","doi":"10.1080/09593330.2025.2464979","DOIUrl":"10.1080/09593330.2025.2464979","url":null,"abstract":"<p><p>The dramatic increase in carbon dioxide emissions is a major cause of global warming and climate change, posing a serious threat to human development and profoundly affecting the global ecosystem. Currently, carbon dioxide emissions prediction studies rely heavily on a large amount of data support, and the accuracy of predictions is greatly reduced when data are scarce. In addition, the inherent uncertainty, volatility, and complexity of CO2 emission data further exacerbate the challenge of accurate prediction. To address these issues, a novel hybrid model for CO2 emission prediction is proposed in this paper. A feature screening method is designed for effective and reliable feature selection from the perspective of algorithm stability, which can improve the prediction performance. In order to accurately predict periodic sequences with limited training samples, a least squares support vector machine is employed in this paper. In addition, the parameters of the prediction model are optimised using the improved sparrow search algorithm and enhanced by Sin chaos mapping, adaptive inertia weights and Cauchy-Gauss variables. An empirical study is conducted using Chinese carbon emission data as a case study, and the validity and superiority of the proposed model are verified through comparative experiments. The results show that the improved SSA has stronger global optimisation capability and faster convergence speed. In addition, in terms of prediction results, the hybrid model has the best consistency with the actual data, which significantly improves the prediction accuracy.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3422-3437"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143432525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}
Environmental TechnologyPub Date : 2025-07-01Epub Date: 2025-03-08DOI: 10.1080/09593330.2025.2473657
Na Chen, Zhenhua Guo, Shaoping Huang, Lihua Li, Henglin Xiao
{"title":"Study on the improvement of vegetated concrete substrate by biochar and limestone calcined clay cement.","authors":"Na Chen, Zhenhua Guo, Shaoping Huang, Lihua Li, Henglin Xiao","doi":"10.1080/09593330.2025.2473657","DOIUrl":"10.1080/09593330.2025.2473657","url":null,"abstract":"<p><p>Vegetated concrete has proven to be an effective technique for restoring the ecological environment of rocky slopes, but conventional formulations often suffer from excessive cement content and limited plant growth. This study proposes the use of biochar (BC) and limestone calcined clay cement (LC3) to form an improved vegetated concrete mix. Twenty-five different formulations were tested for their compressive and shear strength, pH values, and Bermuda grass growth. Microstructural studies using scanning electron microscopy (SEM). The results show that LC3 significantly increases the stress at small strains, while BC increases the strain at peak stresses. LC3 hydration produces cementitious material that coats soil particles, filling voids and leading to a linear increase in cohesion. The optimal mixture, with 12% LC3 and 6% BC, showed a 227% increase in cohesion and a 146% increase in internal friction angle. While LC3 increased pH, reducing the germination and growth performance of Bermuda grass, BC effectively improved these parameters, promoting faster and healthier plant growth. This study provides a reference for the application of LC3 and BC in future vegetated concrete development.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3610-3622"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Improving spatial disaggregation of vehicular emission inventories.","authors":"Bianca Meotti, Sergio Ibarra-Espinosa, Leonardo Hoinaski","doi":"10.1080/09593330.2025.2450556","DOIUrl":"10.1080/09593330.2025.2450556","url":null,"abstract":"<p><p>Precise estimates of vehicular emissions at fine spatial scales are essential for effective emission reduction strategies. Achieving high-resolution vehicular emission inventories necessitates detailed data on traffic flow, driving patterns, and vehicle speeds for each road network segment. However, in developing countries, the lack of comprehensive traffic data, limited infrastructure, and insufficient monitoring systems constrains the development of high-resolution inventories. This gap poses significant challenges for accurately quantify emissions in regions that often experience rapid urbanisation and traffic growth. Here, we propose a novel method to enhance the spatial disaggregation of large-scale vehicular emission inventories. By analysing road-level emissions data from 63 Brazilian municipalities, we developed a model that predicts weighting factors to disaggregate vehicular emissions into a gridded format, based on the proportion of primary road lengths. Our findings indicate that the predicted weighting factors significantly improve the spatial disaggregation of vehicular emissions compared to the traditional road density method by reasonably increasing the emissions in high vehicular activity areas. This approach not only provides more accurate representations of vehicular emissions for urban planning in Brazil but also offers a solution that can be adapted to enhance top-down vehicular emissions inventories globally. Our study offers a valuable tool that can be tailored to various regions, enabling more precise urban planning and policy-making for air quality management worldwide.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3257-3270"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143002627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"CO<sub>2</sub> emission dispersion of multiple point sources in the localized regions together with its intensity inversion model.","authors":"Hanlin Xiao, Jiaheng Yang, Peng Gao, Jingjing Ai, Xiaochen Hu, Zhongyi Han, Tingting Fan","doi":"10.1080/09593330.2025.2463034","DOIUrl":"10.1080/09593330.2025.2463034","url":null,"abstract":"<p><p>The rapid and stable monitoring of CO₂ emissions from point sources in localized regions remains a key challenge in energy conservation and emission reduction efforts. To address this challenge, the Gaussian plume model is adopted for the rapid prediction of carbon emission dispersion from multiple point sources, and an inversion model for carbon emission intensities is constructed based on the Simplex search algorithm. By incorporating elevation data, the Gaussian plume model is modified to adapt to undulating mountainous terrain, and the impacts of the Gaussian diffusion model on the CO<sub>2</sub> concentration diffusion of multiple point sources are analyzed under the conditions of the observation height, atmospheric stability and terrain correction. When the number of monitoring stations reach 10, the average inversion error ranges from 0.01 to 0.47% under various atmospheric conditions, together with an average inversion uncertainty in a range of [0.09%, 1.22%], indicating that enhancing the number of monitoring stations and selecting more stable atmospheric conditions can significantly improve the inversion accuracy of the carbon emission intensities from multiple point sources. This work provides a theoretical guidance for formulating the energy conservation and emission reduction policies together with monitoring and reducing the anthropogenic carbon emission.</p>","PeriodicalId":12009,"journal":{"name":"Environmental Technology","volume":" ","pages":"3308-3319"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143432484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}