Water, Air, & Soil Pollution最新文献

{"title":"Cost – Effective Protectants to Alleviate Ozone Stress on Rice Cultivars","authors":"Ramesh Poornima,&nbsp;Periyasamy Dhevagi,&nbsp;Mathaiyan Uma Gowri,&nbsp;Srirangarayan Subramanian Rakesh,&nbsp;Ambikapathi Ramya,&nbsp;Muthunalliappan Maheswari,&nbsp;Naman Sharma,&nbsp;Priyatharshini Sengottiyan,&nbsp;Raveendra Gnana Keerthi Sahasa","doi":"10.1007/s11270-025-08583-x","DOIUrl":"10.1007/s11270-025-08583-x","url":null,"abstract":"<div><p>Application of antiozonants significantly alleviates the phytotoxicity due to ozone stress; yet a cost effective antiozonant is still unexplored. This study aims to evaluate cost effective antiozonants to alleviate the ozone stress in rice cultivars at field condition. An experiment was conducted at a tropospheric ozone hotspot region (Gummidipundi, Tamil Nadu) utilizing two rice cultivars with differing sensitivity to ozone; sensitive (TRY(R)2) and tolerant (Anna(R)4) alongside three different antiozonants (Ethylene diurea (EDU), neem coated urea (NCU) and ascorbic acid (AsA)). Results indicated monthly variations in ozone (O₃) and nitrogen oxides (NO_x) concentrations. The O₃ stress was more pronounced during the flowering stage particularly in the ozone sensitive cultivar. Besides EDU, foliar application of 1% AsA significantly increased stomatal conductance (29.54%) and chlorophyll content (41.29%) in the sensitive cultivar, while 1% NCU enhanced yield attributes including number of effective tillers (10), panicle length (15.25 cm), number of spikelets per panicle (81), number of filled spikelets per panicle (73), grain yield (5041 kg ha⁻¹) and harvest index (0.61). The application of protectants also improved the grain quality in rice cultivars. Furthermore, 1% NCU demonstrated the highest benefit–cost ratios (1.03 for tolerant and 1.46 for sensitive cultivars) and exhibited high energy productivity (0.01 kg MJ⁻¹) and net energy gain (35465 MJ ha⁻¹). These findings verify that 1% NCU is a cost-effective and energy-efficient foliar treatment in regions with high tropospheric ozone levels. Attention on the dose–response relationship for protection and exploring additional abiotic stressors to gain in-depth understanding of the plant response would be more focused in future research.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210460","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":"The Capability of Glass Fiber Reinforced Pervious Concrete for Purifying Stormwater Runoff by Removing Physicochemical Contaminants","authors":"Hnar Ali Karim Al-Jaf,&nbsp;Dillshad Khidhir Bzeni,&nbsp;Shuokr Qarani Aziz","doi":"10.1007/s11270-025-08609-4","DOIUrl":"10.1007/s11270-025-08609-4","url":null,"abstract":"<div><p>This study rigorously evaluated the mechanical and environmental properties of pervious concrete (PC) mixes with varying aggregate sizes, cement contents, and glass fiber (GF) reinforcement. The research revealed that mechanical performance, measured by compressive, tensile, and flexural strengths was significantly influenced by these factors. Compressive strength ranged from a high of 24.1 MPa for the M14 mix (0.5% GF, aggregate size 9.5–12 mm) to a low of 10.61 MPa for the M15 mix (no GF, aggregate size 12–19 mm). Tensile strength varied from 3.38 MPa to 1.77 MPa, and flexural strength ranged from 3.95 MPa to 2.05 MPa, with both highest values observed in the M14 mix and lowest in M15. The study found that 0.5% GF consistently provided the most benefit, with higher GF content showing diminishing returns. Regarding environmental properties, the research highlighted the crucial role of porosity in stormwater management. Increased porosity led to higher permeability, beneficial for flood mitigation, with values ranging from 0.32 to 17.62 mm/s. The PC mixes demonstrated high efficiency in stormwater contaminant removal, achieving average rates of 82.9% for organic matter (OM), 63.2% for total suspended solids (TSS), 58.7% for turbidity, 52.1% for total solids (TS), 28.1% for sodium chloride (NaCl) and 20.1% for magnesium (<span>({text{Mg}}^{2+})</span>). The study recommends PC mixes with 0.5% GF, aggregate sizes between 4.75 and 12 mm, and cement contents of 325 to 375 kg/m³ for optimal mechanical performance and environmental benefits. Notable mixes include M4, M6, M10, and M12, which balance infiltration rates, flood control, purification capacity, and mechanical strength effectively.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210528","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":"Application of an ANN Model for Predicting Water Quality Parameters: A Case Study of the Tuul River, Mongolia","authors":"Bolor-Erdene Otgonbaigal,&nbsp;Batsuren Dorjsuren,&nbsp;Amarsanaa Badgaa,&nbsp;Amartuvshin Renchin-Ochir,&nbsp;Dariimaa Battulga,&nbsp;Khureldavaa Otgonbayar,&nbsp;Bilguun Tsogoo,&nbsp;Sonomdagva Chonokhuu,&nbsp;Denghua Yan,&nbsp;Galbadrakh Batnasan,&nbsp;Erdenechimeg Gongor,&nbsp;Undrakh Enkhjargal","doi":"10.1007/s11270-025-08576-w","DOIUrl":"10.1007/s11270-025-08576-w","url":null,"abstract":"<div><p>The quality of the Tuul River has degraded due to population growth, urbanization, and industrialization, underscoring the urgent need for sophisticated water quality monitoring methodologies. The primary objectives are to analyze the physicochemical properties of the Tuul River and to assess the effectiveness of artificial neural network (ANN) models in predicting key water quality indicators. A dataset comprising 1260 measurements of 18 physicochemical parameters from 10 locations was analyzed. The methodology included water quality assessment, correlation analysis, and optimizing ANN neuron layers through a hybrid strategy combining rule-of-thumb and trial-and-error techniques. ANN models were trained using the Levenberg–Marquardt and Bayesian regularization learning algorithms. Results demonstrated the superior performance of Bayesian regularization-based models, particularly for chloride (CLBR 11–9-1) and biochemical oxygen demand (BODBR 11–12-1), with mean square errors of 3.34 mg/l and 41.603 mg/l and correlation coefficients of 0.992 and 0.92, respectively. This study not only analyze the physicochemical properties of the Tuul River but also presents an approach to optimizing ANN models, highlighting their potential for precise and efficient water quality prediction using reduced datasets.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210627","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":"ZnO Nanoparticles Modified by Magnetic Carboxymethyl Starch for Effective Photocatalysis of Organic Dye Degradation","authors":"Somayeh Heydari,&nbsp;Saeedeh Eshagh Ahmadi,&nbsp;Sayyed Mohammad Javad Mirzaei","doi":"10.1007/s11270-025-08567-x","DOIUrl":"10.1007/s11270-025-08567-x","url":null,"abstract":"<div><p>Effective and sustainable methods are crucial for dealing with organic pollutants in wastewater. This study investigates modifying ZnO nanoparticles (ZnO NPs) with magnetic carboxymethyl starch (mCMS) to improve their photocatalytic performance for the removal of organic dye. The resulting nanocomposite (ZnO/mCMS NC) was characterized by FTIR, XRD, FESEM, VSM, and DRS analyses. The band gaps of the ZnO NPs and ZnO/mCMS NCs were calculated as 3.13 eV, and 2.87 eV, respectively. Magnetic measurement indicated the fabricated NCs had an excellent superparamagnetic property with a saturation magnetization value of 43.11 emu g⁻¹. In addition, the modified NC exhibited a higher adsorption ability to bromocresol green dye molecules compared with ZnO NPs, which would contribute to its use for photocatalytic degradation. According to the results of photocatalytic experiments, the ZnO NPs and ZnO/mCMS NCs removed 38.3% and 95.1%, of bromocresol green dye respectively, under UV light in 60 min. The effect of solution pH on the removal efficiency of the synthesized NCs was investigated. The Langmuir–Hinshelwood model was applied to describe the kinetics of photodegradation. Moreover, the ZnO/mCMS catalyst could be easily separated from the reaction system by using an external magnet and recycled up to four times without any loss of activity. Benefiting from the combined merits of ZnO NPs, magnetic NPs, and carboxymethyl starch, the ZnO/mCMS NCs simultaneously showed remarkable performance in organic dye removal and convenient magnetic separation capability.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210525","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":"Characterization, Influencing Factors, and Human Health Rrisk of Groundwater Fluoride in Southwestern Songnen Plain, Northeast China","authors":"Mingqian Li,&nbsp;He Wang,&nbsp;Hongbiao Gu,&nbsp;Baoming Chi","doi":"10.1007/s11270-025-08635-2","DOIUrl":"10.1007/s11270-025-08635-2","url":null,"abstract":"<div><p>Fluoride (F⁻) is widely distributed and potentially hazardous inorganic pollutant in groundwater. Regional studies on its spatial distribution and controlling factors groundwater remain limited, necessitating detailed investigations to support safe water supply strategies. In this study, 205 groundwater samples were collected from shallow, intermediate, and deep aquifers across the southwestern Songnen Plain to assess F⁻ distribution, geochemical behavior, and associated health risks. The average F⁻ concentrations in shallow, intermediate, and deep groundwater were 1.66, 1.33, and 1.01 mg/L, respectively, with 67.5%, 58.7%, and 40.0% of samples exceeding China’s drinking water standard (1.0 mg/L). High-F⁻ waters were predominantly HCO₃-Na type, showing an increasing trend from the periphery to the center of the study area, particularly in the Huolin River Basin and Qian’an County. Geological sources and prolonged groundwater retention times in downstream aquifers contributed to elevated F⁻ levels, while excessive groundwater extraction disrupted clay layers, facilitating vertical mixing of F⁻-rich waters. F⁻ primarily originated from dissolution of F⁻ -bearing minerals, with cation exchange and anion adsorption/desorption influencing its migration. Health risk assessments indicated significant non-carcinogenic risks, especially for infants and children, emphasizing the need for continuous monitoring, effective management, and increased public awareness.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210526","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":"A Novel Approach for Fast Microplastic Quantification in Sediments Using Machine Learning—Spectrometer Combinations","authors":"Piao Yao,&nbsp;Jiaming Zhang,&nbsp;Bin Zhou,&nbsp;Yang Chen,&nbsp;Ding He","doi":"10.1007/s11270-025-08575-x","DOIUrl":"10.1007/s11270-025-08575-x","url":null,"abstract":"<div><p>The accumulation of microplastics in surface soils and sediments has raised significant concerns due to their potential environmental risks. Conventional quantitative methods for microplastics often require time-consuming pretreatment and statistical counting, rather than providing direct concentration data, complicating cross-study comparisons. To rapidly investigate microplastic pollution in environmental samples, machine learning (ML) algorithms combined with spectrometers have been employed to estimate microplastic concentrations without the need for extraction. While previous research has primarily focused on microplastic-spiked soils, this study explores the use of river and loess sediments spiked with four commonly used plastic polymers: polyethylene (PE), polypropylene (PP), polystyrene (PS), and polyvinyl chloride (PVC) at concentrations ranging from 0.1 wt% to 5 wt%. Visible near-infrared (vis–NIR, 350–2500 nm) and Fourier transform infrared (FTIR, 4000–400 cm⁻¹) spectroscopy were employed to acquire spectra, which were then preprocessed using the first derivative (FD) and Savitzky-Golay (SG) filtering (FD-SG) methods. Support Vector Regression (SVR), Partial Least Squares Regression (PLSR) and Back Propagation Neural Network (BPNN) models were trained and tested using river sediment datasets and subsequently applied to predict microplastic concentrations in loess sediment samples. The SVR models, constructed with preprocessed vis–NIR data using the FD-SG method, exhibited the best performance, with root mean square error (RMSE) for PE, PP, PS, and PVC in loess sediments of 0.32 wt%, 0.46 wt%, 0.74 wt%, and 0.59 wt%, respectively. These results demonstrate the potential of this method to mitigate the matrix effect in the quantification of microplastics across diverse sediment types.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210631","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":"Adsorption of Organic and Inorganic Pollutants from Wastewater Using Various Effective Adsorbents: A Comparative Study","authors":"Salem A. Bahadi,&nbsp;Waheeba A. Al-Amrani,&nbsp;Q. A. Drmosh,&nbsp;Mohammad Hossain,&nbsp;Sagheer A. Onaizi","doi":"10.1007/s11270-025-08593-9","DOIUrl":"10.1007/s11270-025-08593-9","url":null,"abstract":"<div><p>In this study, a variety of novel binary and tertiary nanocomposite materials were synthesized starting from graphene oxide (GO), MgFeAl layered triple hydroxide (LTH), and bentonite (BT). The synthesized binary and tertiary nanocomposites, along with their parental materials, were characterized using various techniques (i.e., BET, XRD, FTIR, SEM/EDS, Boehm titration, and zeta potential) before assessing their efficacy in removing eight detrimental water pollutants, namely, crystal violet (CV), methylene blue (MB), methyl orange (MO), acid red 1 (AR1), 2-nitrophenol (2NP), bisphenol A (BPA), lead (Pb(II)), and chromium (Cr(VI)) from wastewater samples. The results indicated that the nanocomposites formed from GO and BT (referred to as GO/BT) is particularly effective in removing MB while the one formed from LTH, polyethyleneimine (PEI)-functionalized GO (abbreviated as FGO), and BT (referred to as LTH/FGO/BT) is more superior in removing CV. On the other hand, the calcined LTH (abbreviated as C-LTH) proved to be the most efficient adsorbent for removing both MO and AR1. For phenolic pollutants, the nanocomposites formed from LTH, GO, and BT (referred to as LTH/GO/BT) and the one produced from C-LTH and BT (referred to as C-LTH/BT) are the most effective in removing 2NP and BPA, respectively. Furthermore, pristine LTH and the nanocomposite of LTH and BT (referred to as LTH/BT) emerged as the top performers for adsorbing Pb(II) and Cr(VI) from synthetic wastewater. These results provide a practical selection map that connects pollutant class to optimal sorbent chemistry. Kinetic analysis (done for selected systems) showed that the pseudo-second-order model reproduces the full-time course more accurately than the pseudo-first-order model, consistent with fast early uptake followed by a slower approach to equilibrium. Reusability tests highlighted the importance of regeneration: without washing, removal by C-LTH and by LTH/GO/BT dropped from 94.4 and 97.0% to about 57.4 and 62.2% by the third cycle; a simple NaOH rinse restored most capacity in the composite, maintaining about 97, 94.4, and 88.8% removal over three cycles. Together, the data show that no single material maximizes removal across all pollutants, but rational pairing of pollutant chemistry with sorbent acidity, basicity, and other properties could deliver high adsorption capacities and regenerable performance.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210673","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":"Effects of Nano- and Microplastic Particles (NMPs) on the Transport of PFOA in Natural Sediment","authors":"Wenyi Xie,&nbsp;Jingrui Wang,&nbsp;Zhen Song,&nbsp;Yun Chen,&nbsp;Xueyan Lyu","doi":"10.1007/s11270-025-08616-5","DOIUrl":"10.1007/s11270-025-08616-5","url":null,"abstract":"<div><p>Per- and polyfluoroalkyl substances (PFAS) ubiquitously coexisted with nano- and microplastic particles (NMPs) in natural sediment. The divergent physiochemical characteristics of nanoplastics (NPs) and microplastics (MPs) may differentially modulate PFOA transport and associated environmental risks by serving as distinct vectors, yet, the magnitude and mechanisms of these effects remain poorly elucidated. Here, column experiments were conducted to investigate the impacts of polystyrene (PS) NPs (0.1 μm) and MPs (5 μm) on the transport of perfluorooctanoic acid (PFOA) in saturated natural sediment under two pH conditions (4.7 and 6.0). Results showed the individual transport of PS NMPs and the adsorption affinity of PFOA to these particles collectively governed the overall impact on PFOA transport in sediment. Smaller PSNPs had an insignificant influence on PFOA mobility under both pH conditions, yielding effluent recoveries &gt; 90.55 ± 2.20% versus 91.92 ± 1.00% ~ 93.97 ± 0.48% in a single-solute system. This was likely due to the high mobility capacity of both PSNPs and potential PSNPs-PFOA complex in the sediment. In contrast, despite the majority of PFOA remaining unbound to the PSMPs surface (&gt; 91.13%), larger sized PSMPs can act as a vehicle to slightly enhance the retention of PFOA due to its high retention in sediment across both pH conditions. This study underscored the necessity of distinguishing between NPs and MPs when evaluating PFOA transport risks in natural sediment environments.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210674","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":"Vertical Migration Characteristics and Effect Factors of BaP in Contaminated Soil Under Rainwater Infiltration","authors":"Jianlong Wang,&nbsp;Meiqi Wang,&nbsp;Changhe Zhang,&nbsp;Jiale Fan,&nbsp;Fangfang Lv","doi":"10.1007/s11270-025-08578-8","DOIUrl":"10.1007/s11270-025-08578-8","url":null,"abstract":"<div><p>High ring polycyclic aromatic hydrocarbons such as benzo(a)pyrene (BaP) do not easily degrade and they are highly toxic. An improved understanding of how BaP migrates through soil will enable more informed control of their soil-to-groundwater contamination. We simulated the vertical migration of BaP through soil in a column in a series of experiments and combined these with Hydrus-1D modeling to investigate the impact of organic matter concentration, vegetation cover, infiltration coefficient, rainfall interval, and rainfall duration on BaP migration over time. We report BaP mobility to decrease with increased soil organic matter content, and with a change from continuous rainfall (daily) to periodic rainfall (at 5 d intervals); and for vegetation, increased soil infiltration coefficient, and extended duration of rainfall (from 6 to 120 h) to improve BaP soil mobility. The Hydrus-1D model was used to simulate the migration of BaP through soils over a 5 y period under different infiltration coefficients and to evaluate how long-term rainfall interval and rainfall duration affected BaP migration. Simulation results were consistent with experimental findings. Based on long-term experimental simulation of rainfall data for Beijing, BaP would easily be adsorbed by soil, but it would not easily migrate through it. However, simulation results also indicate that groundwater pollution in contaminated sites may occur after 22 y. Thus, we improve understanding of the migration of BaP in soil at polluted sites, the potential for contaminating groundwater, and the time frame within which remedial action is required to prevent groundwater contamination.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210678","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":"Removal of Cu(II) Ions by Biosorption Method Using Magnetic Thistle Complexed with EDTA","authors":"Feyzanur Tekke,&nbsp;Ferda Özmal","doi":"10.1007/s11270-025-08564-0","DOIUrl":"10.1007/s11270-025-08564-0","url":null,"abstract":"<div><p>In this study, the biosorption efficiency of Cu(II) ions from aqueous solutions by using EDTA complexed magnetic thistle (EMT) was investigated in batch system. The characterization of thistle, EMT, and Cu(II) loaded EMT was performed through Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), energy-dispersive X-ray analyses (EDX) and zeta potential measurements. Experiments were applied as a function of pH, biosorbent dosage, contact time, and temperature. Optimum Cu(II) uptake capacity was determined at the biosorbent dosage of 8 g L⁻¹ at pH 4. The contact time of 20 min was sufficient to reach the equilibrium at all the temperatures. A slight increase in biosorption capacity was observed with the increasing temperature, pointing to the endothermic nature of the process. The biosorption data adapted well to the pseudo-second-order kinetic and Langmuir isotherm models, with fairly high correlation coefficient values. The maximum monolayer biosorption capacity was found to be 55.30 mg g⁻¹ at 45 ⁰C. Desorption experiments were conducted through five consecutive biosorption-desorption cycles, and it was determined that the desorption yield decreased to 60.80% at the end of the fifth cycle. Simulated wastewater was used to test the applicability of EMT to real water samples, and under these conditions, EMT's Cu(II) uptake capacity was found to decrease to 57.60% due to the matrix effect. As a result, EMT biomass was presented to the literature as an alternative and effective biosorbent with the advantage of easy separation from aquatic media.</p></div>","PeriodicalId":808,"journal":{"name":"Water, Air, & Soil Pollution","volume":"236 14","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145210367","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}