International Journal of Environmental Science and Technology最新文献

{"title":"Efficiency of glidarc non-thermal plasma for the treatment of sludge resulting from chemical coagulation: characterization studies","authors":"J. B. Minkoulou-Linyoga,&nbsp;B. Sop-Tamo,&nbsp;F. W. Boyom-Tatchemo,&nbsp;E. Acayanka,&nbsp;G. Kamgang-Youbi","doi":"10.1007/s13762-026-07137-w","DOIUrl":"10.1007/s13762-026-07137-w","url":null,"abstract":"<div><p>The sludge generated after the coagulation–flocculation treatment of wastewaters still represents a major concern, knowing that they constitute a secondary pollution. This sludge can be (re)used, but isn't it risky to use sludge that still contains the original pollutant? To address a solution and contribute to the protection of the environment, this work is intended to treat generated sludge via glidarc plasma route, knowing that this process generated in-situ reactive species (HO°/NO°), UV light and post-discharges species (H₂O₂). The sludge was obtained by performing the coagulation–flocculation of 60 mg L⁻¹ of amaranth red azo dye solution, using FeCl₂ as coagulant, which allowed an elimination dye rate of 62%. The different materials were characterized by Fourier-Transform Infrared Spectroscopy (FTIR), X-ray diffraction (XRD), Thermogravimetric analyses and Scanning electron microscopy. FTIR analysis highlighted the presence of the coagulated pollutant in the sludge, EDX analysis showed that the mineral part of the sludge is mainly composed of iron(II) hydroxide (55%). The plasma treatment of sludge induces the removal of the residual pollutant through a decrease of its FTIR bands and enhancement of the crystallinity of the iron mineral matrix. Quantitatively, the chemical oxygen demand decreases from 78 to 19 mg L⁻¹, highlighting the removal of the coagulated organic pollutant. In addition, the ecotoxicity test showed a tolerance of <i>Escherichia coli</i> bacteria after plasma-treated, unlike their behaviour towards untreated sludge. This work highlights an effective approach for managing sludge and supports the principles of the circular economy by replacing virgin chemicals with a valuable secondary resource.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147561092","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":"Trace elements in industrial wastewater: assessment of ETP efficiency and health risks using deterministic and probabilistic methods","authors":"N. H. Rupa,&nbsp;M. Ismail,&nbsp;M. T. Rahman,&nbsp;N. Sultana,&nbsp;F. Afrose,&nbsp;H. R. Shuvo,&nbsp;M. Moniruzzaman","doi":"10.1007/s13762-026-07146-9","DOIUrl":"10.1007/s13762-026-07146-9","url":null,"abstract":"<div><p>The discharge of untreated industrial wastewater containing trace elements poses significant public health threats. Thus, this study aimed to assess the concentration, removal efficiency, and associated health risks of seven trace elements (Cr, Cd, Pb, Cu, Co, Ni, and Hg) in wastewater from three industries (oil refinery, edible rice, and sugar industry) in Gazipur, Bangladesh. Wastewater samples were collected from both the inlet and the outlet of the effluent treatment plants. The mean concentrations of trace elements in inlet wastewater ranged from 0.18–0.34, 0.07–0.08, 0.18–0.42, 0.21–0.50, below detection limit, 0.45–1.11, and 3.51–7.97 mg L⁻¹ for Cr, Cd, Pb, Cu, Co, Ni, and Hg, respectively. After treatment, these concentrations decreased to 0.05–0.10, BDL–0.03, 0.10–0.36, 0.07–0.21, BDL, 0.13–0.41, and 1.53–5.28 mg L⁻¹, respectively. However, Hg concentrations remained high, particularly in the sugar industry. The evaluation of effluent treatment plants effectiveness in removing trace elements from industrial wastewater revealed efficient removal of Cu (<i>r</i> = -0.56, <i>p</i> = 0.02) and Ni (<i>r</i> = -0.57, <i>p</i> = 0.01), while removal of other elements was not statistically significant (<i>p</i> &gt; 0.05). Both deterministic and Monte Carlo simulation-based probabilistic risk assessments showed that non-carcinogenic and carcinogenic risks from trace elements in inlet and outlet wastewater remained well below the critical thresholds of “hazard index &lt; 1” and “total carcinogenic risks &lt; 1.0E-06” for both children and adults. These findings may provide useful insights for improving industrial wastewater management and protecting public health in Bangladesh.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560344","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":"Eco-friendly treatment of toxic reactive textile dyestuffs using biogenic eggshell powder","authors":"H. Çelebi,&nbsp;B. Koc-Bilican,&nbsp;T. Bahadir,&nbsp;İ. Şimşek,&nbsp;Ş. Tulun,&nbsp;I. Bilican","doi":"10.1007/s13762-026-07153-w","DOIUrl":"10.1007/s13762-026-07153-w","url":null,"abstract":"<div><p>Increasing environmental concerns related to dye-contaminated wastewaters have intensified the demand for sustainable and cost-effective treatment approaches. In this study, eggshells (ES) were investigated as a low-cost adsorbent for the removal of Reactive Red-195 (Red-195) and Remazol Brilliant Orange (RBO) from aqueous solutions. The physicochemical properties of ES were characterized using Fourier transform infrared spectroscopy and scanning electron microscopy. Under optimized batch adsorption conditions (0.1 g ES, 30 min contact time, 25 °C, pH 4), maximum removal efficiencies of 87.98% for Red-195 and 74% for RBO were achieved. Nonlinear isotherm and kinetic modeling, supported by error analysis, revealed that the adsorption behavior of both dyes was best described by the Langmuir isotherm (R²_RBO = 0.996, R²_Red-195 = 0.987) and the pseudo-second-order kinetic model (R²_RBO = 0.995, R²_Red-195 = 0.991). These results indicate monolayer adsorption on energetically heterogeneous sites, with the process predominantly governed by physisorption mechanisms. Thermodynamic parameters confirmed that the adsorption was spontaneous (ΔG° &lt; 0), exothermic (ΔH° &lt; 0), and entropy-driven (ΔS° &gt; 0). Additionally, inhibition of <i>Escherichia coli</i> was found to be influenced by dye concentration, solution pH, and the surface characteristics of ES. Overall, the findings highlight the potential of eggshells as an efficient and environmentally friendly adsorbent for the removal of textile dyes and related pollutants from water.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-026-07153-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147560541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic effects of climate and land use change on heat index extremes: toward risk mapping and assessment","authors":"H. Boyacioglu,&nbsp;M. C. Gunacti","doi":"10.1007/s13762-026-07151-y","DOIUrl":"10.1007/s13762-026-07151-y","url":null,"abstract":"<div><p>This study investigates the synergistic effects of climate and land use change on heat index extremes in the Gediz River Basin (Mediterranean region), with emphasis on risk mapping and assessment. The research advances beyond conventional approaches by jointly evaluating the contributions of climate dynamics and land use transformations to the heat index, a critical indicator of thermal stress. To capture land use influences, land surface temperature values were statistically adjusted for air temperature and then classified into risk groups, which were integrated with heat index-based health risk categories. Using land surface temperature, air temperature, relative humidity, and land use data, composite risk maps were developed for the baseline (1960–2024), near-future (2050–2075), and far-future (2075–2100) periods. Findings reveal that under baseline conditions, the basin already faced moderate to high vulnerability (Extreme Caution-EC+ to Danger-D++). Projections under the RCP 8.5 scenario indicate a progressive intensification of risk, with the entire basin surpassing the D++threshold by the far future, underscoring the dominant role of climate change. Land use changes, driven by urban expansion, deforestation, and agricultural intensification, further exacerbate localized risks, though their effect remains secondary to climate change. These results highlight the urgency of adaptive strategies that couple climate change mitigation with sustainable land and urban planning.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-026-07151-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147559878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring of urban environmental air quality using climatic remote sensing data in Baghdad, Iraq","authors":"N. A. Aziz,&nbsp;I. A. Alwan,&nbsp;O. E. Agbasi","doi":"10.1007/s13762-026-07140-1","DOIUrl":"10.1007/s13762-026-07140-1","url":null,"abstract":"<div><p>Air quality is a very important factor for environmental health and ecosystem integrity; its assessment is very important for implementing mitigation strategies that can limit its impact on the environment and humans. This study leverages climatic remote sensing data to monitor urban air quality in Baghdad, providing insights into pollution distribution and dynamics. This approach offers added value by integrating satellite-derived climatic indicators with air quality analysis, which previous urban studies in the region have not employed. This study uses Sentinel 5P and MODIS data and the MERRA-2 model to investigate air pollution parameters such as NO₂, SO₂, CO, AOD, temperature, and wind speed. According to spatial analysis, high NO₂ levels are noted in the Eastern part covering about 9.96% of the total study area. High SO₂ concentrations were found in the Eastern and Northern parts, covering about 11% of the study area. High CO concentrations (0.035–0.038 molecules/m²) were found in about 39% of the study area. The high levels of aerosol optical depth (AOD) were found in 9.11% of the region. Temperature gradients reveal different thermal zones ranging from 27 to 29 °C, with 50.11% of the studied area experiencing high temperatures. Wind speed patterns depict prevalent airflow dynamics, with a significant wind speed range described by 46.07% of the area. Pearson correlation coefficients reveal connections between air contaminants and meteorological factors. Air pollution in Baghdad has been historically under-monitored due to limited ground stations. The findings of this study directly inform practical air-quality management, by identifying pollution hotspots and peak periods, local authorities can target interventions such as traffic regulation or industrial emissions control. Ultimately, this research supports the development of data-driven strategies to improve urban air quality and public health in Baghdad, with methods that can be extended to other cities facing similar data limitations.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441834","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":"Identification and analysis of microplastics: a systematic review of methods and techniques","authors":"A. B. Carvalho,&nbsp;A. N. da Silva,&nbsp;D. C. B. Floresta,&nbsp;G. N. B. Passos,&nbsp;C. A. Wollmann,&nbsp;E. Galvani,&nbsp;J. B. Chiquetto,&nbsp;R. Dris,&nbsp;J. P. A. Gobo","doi":"10.1007/s13762-026-07133-0","DOIUrl":"10.1007/s13762-026-07133-0","url":null,"abstract":"<div><p>This systematic review was conducted to examine relationships between sample matrices and predominant analytical methods in microplastics research. An extensive literature search was performed across Springer, MDPI, and Scopus databases to identify relevant publications through October 2022. Through systematic screening, 180 studies were selected for full-text analysis. The reviewed methodologies revealed two primary sample preparation approaches: density separation and organic matter digestion. For organic matter digestion, oxidation using 30% hydrogen peroxide (H₂O₂) was identified as the predominant technique. In density separation protocols, zinc chloride (ZnCl₂) emerged as the most frequently employed chemical compound. Regardless of the sample matrix, the main identification methods were Fourier transform infrared spectroscopy (µFTIR), µRaman and pyrolysis mass spectrometry (Pyr/GC–MS). The choice of methodology is heavily influenced by the sample matrix, however, other aspects are relevant, such as the type of material and concentration of organic matter in the sample. To address challenges in methodological standardization and result comparability, it is recommended that future studies be categorized according to identification method, as this parameter significantly influences the detectable size range of microplastics. Furthermore, density separation techniques should be carefully considered, as solution density may affect the recovery of higher-density polymers. Implementation of these methodological considerations could enhance the accuracy of comparative analyses regarding polymer types and particle size distributions in environmental microplastic samples. The findings suggest that while methodological approaches vary substantially, systematic classification of analytical protocols could facilitate more robust inter-study comparisons in microplastics research.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441835","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":"Meta-analysis of land use/land cover change scenarios in Ghana using machine learning and cellular automata models","authors":"M. S. Peprah,&nbsp;A.-W. Moomen,&nbsp;J. M. Sey","doi":"10.1007/s13762-026-07142-z","DOIUrl":"10.1007/s13762-026-07142-z","url":null,"abstract":"<div><p>Reliable prediction of future land use and land cover change is essential for sustainable spatial planning in rapidly transforming African landscapes, including Ghana. Ghana has experienced accelerated urbanisation, agricultural expansion, and forest degradation. Yet the predictive performance of machine learning and cellular automata-based models applied in this context have not been systematically synthesised. This study conducts a systematic review and meta-analysis to evaluate the effectiveness of machine learning models, cellular automata models, and hybrid machine learning–cellular automata approaches for land use and land cover change prediction in Ghana between 2010 and 2025. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, eighty-five peer-reviewed studies were selected from an initial pool of 12,008 records. Quantitative synthesis focused on standardised accuracy metrics, including overall accuracy, the Kappa coefficient, and the figure of merit. Results demonstrate that hybrid models consistently outperform standalone approaches across diverse land use contexts. Cellular automata–machine learning frameworks, including cellular automata-Markov-artificial neural network and future land use simulation models, achieved overall accuracy values exceeding 85 percent and Kappa coefficients commonly ranging from 0.80 to 0.89 in urban, forest, wetland, and river basin applications. Standalone machine learning classifiers attained high classification accuracies of up to 95–98 percent but showed limited capacity for spatial–temporal forecasting when applied without cellular automata integration. In contrast, standalone cellular automata–Markov models exhibited moderate predictive performance, with Kappa values typically between 0.75 and 0.82, nationally relevant.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441625","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":"Taguchi-based and machine learning optimization of methylene blue removal and antioxidant activity of Lavandula stoechas L. biomass","authors":"S. Dogruer,&nbsp;M. Bilgi,&nbsp;S. Avci Azkeskin,&nbsp;B. Isik","doi":"10.1007/s13762-026-07138-9","DOIUrl":"10.1007/s13762-026-07138-9","url":null,"abstract":"<div><p>This study utilized natural and economical biomass of <i>Lavandula stoechas</i> L. to eliminate methylene blue dye from water and investigate its ability to be an antioxidant source within a zero-waste framework. A Taguchi design of experiments (L25) was used to evaluate the impacts of four factors: beginning concentration (10–50 mg/L), adsorbent dosage (0.01–0.15 g/50 mL), contact time (0–150 min), and pH (2–12), across four distinct levels. Machine learning models were integrated after the Taguchi analysis to validate the robustness of the optimal parameter combination, predict adsorption efficiency under different experimental conditions, and quantitatively assess the relative importance of process variables. The machine learning results supported the Taguchi and ANOVA findings by confirming the dominant influence of pH and adsorbent dosage on adsorption performance. The adsorption raw data were analyzed using non-linear Langmuir, Freundlich, Dubinin–Radushkevich, Temkin, and Sips isotherm models. The maximum adsorption capacities were determined to be 49.09 mg/g and 47.88 mg/g, respectively, based on the Langmuir and Sips isotherms. The study concluded that the adsorption kinetics adhered to the <i>pseudo-second order</i> kinetic model, and that many mechanisms, including intraparticle and film diffusion, were significant in the adsorption as per the Weber Morris and Boyd models. Reusability experiments demonstrated that <i>L. stoechas</i> L. biomass yielded highly successful results for a maximum of five cycles. All findings demonstrated that <i>L. stoechas</i> L. biomass, regarded as a zero-waste biomass, serves as a promising and eco-friendly adsorbent for the elimination of cationic MB dye.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-026-07138-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fungal-mediated synthesis of zinc oxide (ZnO) as mono-, bi- and tri-metallic nanoparticles for removal of malachite green","authors":"S. K. Lee,&nbsp;Y. Y. Thoo,&nbsp;A. S. Y. Ting","doi":"10.1007/s13762-026-07127-y","DOIUrl":"10.1007/s13762-026-07127-y","url":null,"abstract":"<div><p>This study synthesized ZnO-based nanoparticles into mono- (ZnO), bi- (ZnO/Ag, ZnO/Fe), and tri-metallic (ZnO/Ag/Fe) forms, using extracts from <i>Trichoderma asperellum</i> to generate nanoparticles (NPs) for the removal of Malachite Green (MG) dye in aqueous solution. The NPs were characterized based on UV/Vis Spectroscopy, Field Emission Scanning Electron Microscopy, High Resolution Transmission Electron Microscopy, Energy Dispersive X-Ray, Fourier Transform Infrared Spectroscopy, and Dynamic Light Scattering. Results revealed that fungal-mediated biosynthesis successfully produced typical ZnO-based NPs that were spherical-shaped with sizes from 13.89 to 31.28 nm. The biogenic nature of the NPs was validated by the detection of functional groups (N–H, –OH, –COOH, –CH) originating from fungal extracts. All ZnO-based NPs achieved more than 89% of removal efficiencies using only 2 mg of NPs, with multi-metallic forms considerably outperforming their mono-metallic ZnO counterparts. The adsorption by the NPs is likely via multi-layered chemisorption as evidenced by the Freundlich isotherm (R² = 0.9661–0.9937) and pseudo-second-order model (R² = 0.9899–0.9991). The maximum monolayer adsorption capacities of ZnO, ZnO/Ag, ZnO/Fe, and ZnO/Ag/Fe NPs were determined to be 142.86, 37.45, 42.55, and 33.22 mg/g, respectively. As such, adsorption of MG dye particles may have involved hydrogen bonding, π–π stacking, and electrostatic interactions. These findings underscore the potential of fungal-mediated ZnO-based NPs, especially tri-metallic forms, as promising adsorbents for removal of MG or other dyes, with possibilities as well for other hazardous pollutants.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 5","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-026-07127-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of electrospun polyethyleneimine/polystyrene nanofibers for CO2 capture","authors":"A. Kim,&nbsp;E. Huang,&nbsp;J. Weiser,&nbsp;A. Simson","doi":"10.1007/s13762-026-07111-6","DOIUrl":"10.1007/s13762-026-07111-6","url":null,"abstract":"<div><p>The composition and operating conditions of electrospun polyethyleneimine (PEI)/polystyrene (PS) composite nanofibers were optimized for CO₂ adsorption. A maximum capacity of 1.16 mmol CO₂/g was achieved at a 60 °C isotherm using 20 wt% PEI with respect to PS. This adsorption capacity is comparable to that of many PEI-impregnated nanofibers and porous sorbents. Despite the exothermic nature of CO₂ adsorption, operating at higher temperatures (up to 60 °C) increased the adsorption capacity. Thermal pre-treatment of PEI/PS nanofibers showed a similar trend, with nanofibers pre-treated at increasing temperatures (up to 60 °C) exhibiting greater capacity when operated at 30 °C. Pre-treatment at 60 °C led to similar capacities for isotherms at 30 °C and 60 °C, suggesting that temperature-induced changes to the nanofibers increased the capacity. Kinetic analysis of all PEI/PS nanofibers showed that pre-treatment did not affect the CO₂ adsorption mechanism. However, pre-treatment above 60 °C decreased capacity, showing the thermal sensitivity of these materials. Temperature swing cycle testing (30 °C adsorption, 70 °C desorption) found desorption to be 6 times slower than adsorption, showing the constraints of operating within the fiber’s small range of thermal stability.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"23 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147441229","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}