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Evaluation of Fenton-like reaction for sorption and degradation of kasugamycin in the presence of biochar. 生物炭存在下Fenton-like反应对卡苏霉素吸附降解的评价。
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-15 DOI: 10.1007/s10653-025-02357-4
Wei Zhang, Liqiang Cui, Jingwen Ma, Shuyan Cui, Guixiang Quan, Jinlong Yan, Fengfeng Sui, Hui Wang, Kiran Hina, Qaiser Hussain

Although the use of biochar as an adsorbent for the removal of various pollutants from wastewater is well established, the use of biochar/modified biochar for the scavenging of antibiotics from aqueous media in the Fenton-like system receives less attention. The highest kasugamycin (KSM) adsorption capacity (5.0 mg g-1) was obtained from the pristine biochar at the lowest initial pH of 3 in Fenton-like system. The Fenton-like system improved the KSM adsorption capacity of pristine biochar by 222.2%, 169.9%, and 159.9% at 25 °C, 35 °C, and 45 °C comparing to control, respectively, and it also increased adsorption capacity by 97.4%, 63.8%, and 56.8% comparing to modified biochar. The amounts of biochar applied and the Fenton-like system affected KSM mineralization and degradation. The KSM degradation products had a significant amount of small molecular organic matter (m/z 384) and a tetrahydropyran structure that was difficult to degrade. The highly efficient degradation of KSM in Fenton-like system can be attributed to the generation of large amounts of hydroxyl radical (·OH) and functional groups (C=C, C=O, etc.).

尽管使用生物炭作为吸附剂去除废水中的各种污染物已经很好地建立了,但在类芬顿系统中,使用生物炭/改性生物炭清除水介质中的抗生素却很少受到关注。在Fenton-like体系中,初始pH最低为3时,原始生物炭对卡苏霉素(KSM)的吸附量最高,为5.0 mg g-1。在25°C、35°C和45°C条件下,Fenton-like体系对原始生物炭的KSM吸附量分别比对照提高了222.2%、169.9%和159.9%,吸附量比改性生物炭分别提高了97.4%、63.8%和56.8%。施用生物炭的量和Fenton-like体系影响KSM的矿化和降解。KSM降解产物含有大量的小分子有机物(m/z 384)和难以降解的四氢吡喃结构。类芬顿体系对KSM的高效降解可归因于大量羟基自由基(·OH)和官能团(C=C, C=O等)的生成。
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引用次数: 0
Sustainable remediation of abandoned coal mines using vermicompost: a case study in Ledo coal mine, India. 利用蚯蚓堆肥对废弃煤矿进行可持续修复:以印度雷多煤矿为例。
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-15 DOI: 10.1007/s10653-024-02355-y
Krishna Das, Sajan Kumar Dansena, Suryateja Pottipati, Krishna Chaitanya Maturi, Ganesh Chandra Dhal, Ajay S Kalamdhad

Coal mining in India, especially open-cast mining, substantially strengthens the economy while concurrently causing environmental deterioration, such as soil pollution with toxic chemicals and heavy metals. This study sought to examine the efficacy of vermicompost as a remediation technique for Mine Tailing Soil (MTS) in the Ledo Coal Fields. During a 120-day duration, different concentrations of vermicompost (20%, 30%, and 40%) were administered to MTS, and the impacts on soil physicochemical parameters, fertility, and plant growth were evaluated. The findings indicated substantial enhancements in soil fertility, encompassing increased nutrient availability, improved water retention, and diminished bulk density. Plant species, including Abelmoschus esculentus, Solanum lycopersicum, and Delonix regia, showed substantial growth when subjected to 20% and 30% vermicompost amendments, with the 30% treatment producing the most remarkable outcomes. Furthermore, Risk Assessment Code values for soils amended with 20%, 30%, and 40% vermicompost were markedly diminished, reducing the bioavailability and mobility of heavy metals. The data indicate that vermicompost is an efficient and sustainable method for remediating MTS, alleviating heavy metal contamination, and enhancing plant development, thus addressing the environmental hazards of coal mining.

印度的煤炭开采,特别是露天开采,大大加强了经济,但同时造成环境恶化,例如有毒化学品和重金属污染土壤。本研究旨在研究蚯蚓堆肥作为雷多煤田尾矿土修复技术的效果。在120 d的时间内,对MTS施用不同浓度的蚯蚓堆肥(20%、30%和40%),评估其对土壤理化参数、肥力和植物生长的影响。研究结果表明,土壤肥力有了实质性的提高,包括养分有效性增加,保水能力提高,体积密度降低。在20%和30%的蚯蚓堆肥处理下,Abelmoschus esculentus、Solanum lycopersicum和Delonix regia等植物种类均有显著的生长,其中30%的蚯蚓堆肥处理效果最显著。此外,添加20%、30%和40%蚯蚓堆肥的土壤风险评估代码值显著降低,降低了重金属的生物利用度和流动性。研究结果表明,蚯蚓堆肥是一种有效且可持续的修复MTS、减轻重金属污染、促进植物生长的方法,从而解决煤矿开采的环境危害。
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引用次数: 0
Evaluating the bioavailability of rare earth elements in paddy soils and their uptake in rice grains for human health risk. 评价水稻土中稀土元素的生物利用度及其在稻米中的吸收对人类健康的风险。
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-13 DOI: 10.1007/s10653-025-02360-9
Zzu-Ying Huang, Chien-Hui Syu, Zeng-Yei Hseu

Rare earth elements (REEs) are a critical global focus due to their increasing use, raising concerns about their environmental distribution and human exposure, both vital to food safety and human health. Surface soil (0-30 cm) and corresponding rice grain samples (n = 85) were collected from paddy fields in Taiwan. This study investigated the total REE contents in soil through aqua regia digestion, as well as their labile forms extracted using 0.05 M ethylenediaminetetraacetic acid (EDTA), 0.10 M hydrogen chloride (HCl), and 0.01 M calcium chloride (CaCl2). The REE concentrations in the rice grains (Oryza sativa L.) were also analyzed. The estimated daily intake (EDI) of REEs through rice consumption for males was 1.3 times higher than that for females. Children under 12 years of age, regardless of gender, had the highest EDI of REEs compared to other age groups. High rice consumption and a high proportion of children are potentially at higher risk for elevated REE exposure. The transport of REEs from soil to rice demonstrated their shift of fractionation by the lower ratio of light REEs and heavy REEs in rice grain compared to soil and their upper continental crust (UCC)-normalized patterns. Empirical equations were developed to estimate the concentrations of REEs in rice grains based on soil pH, clay content, organic carbon, cation exchange capacity, dithionite-citrate-bicarbonate extractable iron, and labile REEs. This study provides critical insights into the health risks of REEs, clarifying their human exposure and the bioavailability from paddy soil to rice.

稀土元素的使用日益增加,引起了人们对其环境分布和人类暴露的关注,这对食品安全和人类健康至关重要。本研究采自台湾稻田表层土壤(0 ~ 30 cm)及相应的稻米样本(n = 85)。研究了王水消解土壤中稀土元素的含量,以及0.05 M乙二胺四乙酸(EDTA)、0.10 M氯化氢(HCl)和0.01 M氯化钙(CaCl2)提取土壤中稀土元素的活性形态。对水稻籽粒(Oryza sativa L.)的稀土元素含量进行了分析。男性每日通过食用大米摄入的稀土元素(EDI)是女性的1.3倍。与其他年龄组相比,12岁以下的儿童,无论性别,具有最高的EDI ree。高大米消费量和高比例的儿童可能面临较高的稀土元素暴露风险。稀土元素从土壤向水稻的运移表明,与土壤及其上大陆地壳(UCC)归一化模式相比,水稻籽粒中轻稀土元素和重稀土元素的比例较低。根据土壤pH值、粘土含量、有机碳、阳离子交换容量、二硫代-柠檬酸盐-碳酸氢盐可萃取铁和易挥发性稀土,建立了水稻籽粒中稀土浓度的经验方程。这项研究为ree的健康风险提供了重要的见解,阐明了它们的人类暴露和水稻土壤对水稻的生物利用度。
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引用次数: 0
Geochemical partitioning and leaching behaviour of geogenic contaminants from the partially weathered rocks in chronic kidney disease of unknown etiology (CKDu) endemic regions in Sri Lanka. 斯里兰卡不明原因慢性肾病(CKDu)流行地区部分风化岩石中地质污染物的地球化学分配和淋滤行为
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-10 DOI: 10.1007/s10653-024-02353-0
Manura Weerasinghe, Sandun Sandanayake, Anushka Upamali Rajapaksha, Meththika Vithanage

Studies regarding geochemical partitioning and leaching behavior of Hofmeister ions, which is considered as a risk/causative factor for chronic kidney disease of unknown etiology (CKDu), are scarce. Therefore, Hofmeister ions' leaching behavior of partially weathered rocks from CKDu endemic (Girandurukotte) and non-endemic (Sewanagala) areas, Sri Lanka were compared. Rock mineralogy was analyzed using X-ray Diffraction, and total ion contents were determined using alkaline and acid digestions. Leaching experiments were conducted for powdered rocks using HCO3- rich water and deionized water (DI) to determine the kinetics of Hofmeister ion release into groundwater. Fluoride fractionation in rocks was determined through a sequential extraction. The most abundant ions in both rocks from CKDu endemic and non-endemic areas were Cl-; possibly due to carbonate and silicate minerals and Mg2+; possibly due to biotite minerals. Maximum leaching capacities of Hofmeister ions; F-, Cl-, SO42-, K+, Mg2+, Ca2+ were higher with HCO3- rich water compared to deionized water in both rocks from Girandurukotte (F-HCO3: 5.51 mg/kg > F-DI: 2.62 mg/kg) and Sewanagala (F-HCO3: 6.24 mg/kg > F-DI: 3.78 mg/kg). This F- variation might be due to the higher exchangeable fraction in the rock from Sewanagala (2.027 mg/kg) compared to Girandurukotte (0.963 mg/kg). Although, the organic matter bound F- fraction in the rock from Girandurukotte (47.62 mg/kg) was higher than that of Sewanagala (31.66 mg/kg). However, the cumulative effect of exchangeable, carbonate bound, Fe-Mn oxide bound, and organic matter bound F- fraction in the rock from Girandurukotte was higher (52.6%) compared to Sewanagala, making F- a possible risk factor for CKDu.

Hofmeister离子被认为是病因不明的慢性肾脏疾病(CKDu)的危险/致病因素,但对其地球化学分配和浸出行为的研究很少。因此,比较了斯里兰卡CKDu地方性地区(Girandurukotte)和非地方性地区(Sewanagala)部分风化岩石的Hofmeister离子淋溶行为。用x射线衍射分析了岩石矿物学,用碱性和酸性消化法测定了总离子含量。采用富HCO3水和去离子水(DI)对粉状岩石进行浸出试验,研究Hofmeister离子向地下水释放的动力学。岩石中的氟化物分馏是通过连续萃取测定的。CKDu病区和非病区岩石中含量最高的离子均为Cl-;可能是由于碳酸盐和硅酸盐矿物和Mg2+;可能是由于黑云母矿物。Hofmeister离子的最大浸出能力;与来自Girandurukotte (F-HCO3: 5.51 mg/kg > F- di: 2.62 mg/kg)和Sewanagala (F-HCO3: 6.24 mg/kg > F- di: 3.78 mg/kg)的岩石中的去离子水相比,富HCO3水中的F-、Cl-、SO42-、K+、Mg2+、Ca2+含量更高。这种F-变化可能是由于Sewanagala岩石中的交换分数(2.027 mg/kg)高于Girandurukotte岩石(0.963 mg/kg)。但Girandurukotte岩石中有机质结合F-分数(47.62 mg/kg)高于Sewanagala岩石(31.66 mg/kg)。然而,与Sewanagala相比,Girandurukotte岩石中交换态、碳酸盐结合态、Fe-Mn氧化物结合态和有机质结合态F-组分的累积效应更高(52.6%),F-可能是CKDu的危险因素。
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引用次数: 0
Assessment of groundwater chemistry to predict arsenic contamination from a canal commanded area: applications of different machine learning models. 评估地下水化学以预测运河指挥区域的砷污染:不同机器学习模型的应用。
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-09 DOI: 10.1007/s10653-024-02334-3
Fazila Younas, Muhammad Fahad Sardar, Zahid Ullah, Jawad Ali, Xiaona Yu, Pengcheng Zhu, Weihua Guo, Khalid Mashay Al-Anazi, Mohammad Abul Farah, Zhaojie Cui

Groundwater arsenic (As), contamination is a significant issue worldwide including China and Pakistan, particularly in canal command areas. In this study, 131 groundwater samples were collected, and three machine learning models [Random Forest (RF), Logistic Regression (LR), and Artificial Neural Network (ANN)] were employed to predict As concentration. Descriptive statistics helped to conclude that all of the samples were inside the permitted limit of WHO for pH, Ca, Mg, Turbidity, Cl, K, Na, SO4, NO3, F and beyond limit of WHO for EC, HCO3, TDS, and As. RF suggested a median drop in Gini node impurity across all tree divisions. This predicted As contamination in samples due to presence of TDS, EC, HCO3- and turbidity in upper end of graph which expressed significance of these factors in contaminating water with Arsenic. Moreover, these factors were found positively correlated with Ar contamination. LR model expressed about best fitness of model. ANN classified large data set into two classes i.e. (1) Inside limit of WHO and (2) and outside limit of WHO. Total dissolved solids (TDS), turbidity, sodium (Na) and electrical conductivity (EC) were positively correlated with Ar (Arsenic concentration) in the collected samples. pH and K were negatively associated with Arsenic concentration of the observed samples. Confusion matrices and ROC-AUC scores evaluated that RF, model outperforming than LR, and ANN, in accuracy and sensitivity. Key variables influencing As concentration in the groundwater resources of the study area were identified, such parameters include TDS, chloride (Cl), bicarbonate (HCO3-) and turbidity. The study provided the complete profile of the 131 water samples which can be used to make strategies for the minimization of ground Water contamination for Rohri canal command area. Moreover, the steps can be taken to control the discussed parameters inside the WHO limit.

地下水砷污染是包括中国和巴基斯坦在内的世界范围内的重大问题,特别是在运河指挥区域。本研究采集了131份地下水样本,采用随机森林(Random Forest, RF)、Logistic回归(Logistic Regression, LR)和人工神经网络(Artificial Neural Network, ANN) 3种机器学习模型对As浓度进行预测。描述性统计表明,所有样品的pH、Ca、Mg、浊度、Cl、K、Na、SO4、NO3、F均在WHO的允许范围内,EC、HCO3、TDS和As均超出WHO的允许范围。RF表明,基尼节点杂质中位数在所有树分区中都有所下降。在图的上端,由于TDS, EC, HCO3-和浊度的存在,这预测了样品中砷的污染,这表明了这些因素在砷污染水中的重要性。这些因素与砷污染呈正相关。LR模型表示了模型的最佳适应度。人工神经网络将大数据集分为(1)WHO的内限值和(2)WHO的外限值两类。样品中总溶解固形物(TDS)、浊度、钠(Na)和电导率(EC)与砷(Ar)浓度呈正相关。pH和K值与砷浓度呈负相关。混淆矩阵和ROC-AUC评分评估了RF、模型在准确性和灵敏度方面优于LR和ANN。确定了影响研究区地下水As浓度的关键变量,包括TDS、氯化物(Cl)、碳酸氢盐(HCO3-)和浊度。该研究提供了131个水样的完整剖面,可用于制定最大限度地减少罗赫里运河指挥区内地下水污染的策略。此外,可以采取步骤将所讨论的参数控制在世卫组织的限制范围内。
{"title":"Assessment of groundwater chemistry to predict arsenic contamination from a canal commanded area: applications of different machine learning models.","authors":"Fazila Younas, Muhammad Fahad Sardar, Zahid Ullah, Jawad Ali, Xiaona Yu, Pengcheng Zhu, Weihua Guo, Khalid Mashay Al-Anazi, Mohammad Abul Farah, Zhaojie Cui","doi":"10.1007/s10653-024-02334-3","DOIUrl":"10.1007/s10653-024-02334-3","url":null,"abstract":"<p><p>Groundwater arsenic (As), contamination is a significant issue worldwide including China and Pakistan, particularly in canal command areas. In this study, 131 groundwater samples were collected, and three machine learning models [Random Forest (RF), Logistic Regression (LR), and Artificial Neural Network (ANN)] were employed to predict As concentration. Descriptive statistics helped to conclude that all of the samples were inside the permitted limit of WHO for pH, Ca, Mg, Turbidity, Cl, K, Na, SO<sub>4</sub>, NO<sub>3</sub>, F and beyond limit of WHO for EC, HCO<sub>3</sub>, TDS, and As. RF suggested a median drop in Gini node impurity across all tree divisions. This predicted As contamination in samples due to presence of TDS, EC, HCO<sub>3</sub><sup>-</sup> and turbidity in upper end of graph which expressed significance of these factors in contaminating water with Arsenic. Moreover, these factors were found positively correlated with Ar contamination. LR model expressed about best fitness of model. ANN classified large data set into two classes i.e. (1) Inside limit of WHO and (2) and outside limit of WHO. Total dissolved solids (TDS), turbidity, sodium (Na) and electrical conductivity (EC) were positively correlated with Ar (Arsenic concentration) in the collected samples. pH and K were negatively associated with Arsenic concentration of the observed samples. Confusion matrices and ROC-AUC scores evaluated that RF, model outperforming than LR, and ANN, in accuracy and sensitivity. Key variables influencing As concentration in the groundwater resources of the study area were identified, such parameters include TDS, chloride (Cl), bicarbonate (HCO<sub>3</sub><sup>-</sup>) and turbidity. The study provided the complete profile of the 131 water samples which can be used to make strategies for the minimization of ground Water contamination for Rohri canal command area. Moreover, the steps can be taken to control the discussed parameters inside the WHO limit.</p>","PeriodicalId":11759,"journal":{"name":"Environmental Geochemistry and Health","volume":"47 2","pages":"46"},"PeriodicalIF":3.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142946702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}
引用次数: 0
Biosorption performance toward Co(II) and Cd(II) by irradiated Fusarium solani biomass. 辐照太阳镰刀菌生物量对Co(II)和Cd(II)的吸附性能。
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-09 DOI: 10.1007/s10653-024-02342-3
Abeer M Mousa, Ezzat A Abdel-Galil, Mostafa Zhran, Mohamed G Moussa

Fusarium solani biomass plays a significant role in water pollution remediation due to its ability to sequester heavy metals, particularly cobalt (Co(II)) and cadmium (Cd(II)), which pose severe environmental and health risks. This study aimed to identify fungi from sewage-contaminated sites and evaluate their efficiency in absorbing and reducing Co(II) and Cd(II) ions. The biosorption potential of irradiated Fusarium solani biomass for removing Co(II) and Cd(II) ions from aqueous solutions was investigated. Six fungal isolates were screened, and the most promising isolate, identified as F. solani, was selected for further research. The biomass was exposed to different gamma irradiation doses (0, 1, 3, and 5 kGy), and its biosorption efficiency was assessed. The highest biosorption efficiencies were observed with the biomass exposed to 5 kGy (FS-5), achieving 37% for Co(II) and 90% for Cd(II) removal within 25 min. The surface area of the biosorbent increased from 13.12 m2 g-1 for unexposed biomass (FS-0) to 34.87 m2 g-1 for FS-5, enhancing the biosorption capacity. The adsorption kinetics followed a pseudo second order model with high correlation coefficients (R2 > 0.993), indicating chemisorption as the rate-limiting step. Isotherm studies showed that the Langmuir model provided a better fit to the experimental data, with maximum adsorption capacities of 4.44 mg g-1 for Co(II) and 21.00 mg g-1. This study provides valuable insights into the effective removal of Cd and Co from polluted sites, underscoring the potential of developing eco-friendly and cost-effective bioremediation approaches.

由于镰刀菌能够隔离重金属,特别是钴(Co(II))和镉(Cd(II)),从而在水污染修复中发挥重要作用,这些重金属构成严重的环境和健康风险。本研究旨在鉴定来自污水污染场地的真菌,并评估其吸收和还原Co(II)和Cd(II)离子的效率。研究了辐照后太阳镰刀菌生物量对Co(II)和Cd(II)离子的吸附性能。筛选了6株真菌分离株,筛选出了最有潜力的孤壁梭兰氏菌(F. solani)进行进一步研究。将生物质暴露于不同剂量(0、1、3和5 kGy)的伽马辐射下,并评估其生物吸附效率。在5 kGy (FS-5)条件下,生物吸附剂的吸附效率最高,在25 min内对Co(II)的去除率达到37%,对Cd(II)的去除率达到90%。生物吸附剂的表面积从未暴露的生物量(FS-0)的13.12 m2 g-1增加到FS-5的34.87 m2 g-1,增强了生物吸附能力。吸附动力学符合高相关系数(R2 > 0.993)的准二级模型,表明化学吸附是限速步骤。等温线研究表明,Langmuir模型对Co(II)的最大吸附量分别为4.44 mg g-1和21.00 mg g-1,较好地拟合了实验数据。该研究为从污染场地有效去除Cd和Co提供了有价值的见解,强调了开发生态友好且具有成本效益的生物修复方法的潜力。
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引用次数: 0
Unveiling the impact of biodegradable polylactic acid microplastics on meadow soil health. 揭示可生物降解聚乳酸微塑料对草甸土壤健康的影响。
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-08 DOI: 10.1007/s10653-025-02358-3
Shuming Liu, Binglin Chen, Kaili Wang, Jinghuizi Wang, Kaili Wang, Yan Suo, Xiaoyu Yang, Yaokun Zhu, Jiaxing Zhang, Mengchu Lu, Yunqing Liu

Soil microplastics (MPs) pollution has garnered considerable attention in recent years. The use of biodegradable plastics for mulching has led to significant quantities of plastic entering agro-ecosystems. However, the effects of biodegradable polylactic acid (PLA) plastics on meadow soils remain underexplored. This study investigates the impacts of PLA-MPs of varying particle sizes and concentrations on soil physicochemical properties, enzyme activities, and microbial communities through a 60-day incubation experiment. PLA-MPs increased the pH, soil organic matter, total nitrogen (TN) and available potassium (AK) content, as well as enhanced the activities of superoxide dismutase (S-SOD), peroxidase (S-POD), soil catalase (S-CAT), β-glucosidase (S-β-GC) and urease (S-UE) activities. Conversely, a decrease in alkaline phosphatase (S-ALP) activity was observed. The influence of PLA-MPs on soil physicochemical properties was more pronounced with larger particle sizes, whereas smaller particles had a greater effect on enzyme activities. Additionally, PLA-MPs led to an increase in the abundance of Acidobacteriota, Chloroflexi, and Gemmatimonadota, while the abundance of Proteobacteria, Actinobacteriota, and Patescibacteria declined. Mantel test analysis showed that changes in microbial community composition affected soil properties such as pH, AK, S-UE and S-β-GC. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt2) analysis demonstrated that PLA-MPs modify bacterial metabolic pathways. Our results suggest that particle size and concentration of PLA-MPs differentially affect soil nutrients and microbial community structure and function, with more significant effects observed at larger particle sizes and higher concentrations.

近年来,土壤微塑料污染引起了人们的广泛关注。使用可生物降解塑料进行覆盖导致大量塑料进入农业生态系统。然而,可生物降解聚乳酸(PLA)塑料对草甸土壤的影响尚未得到充分的研究。本研究通过60天的培养实验,研究了不同粒径和浓度的PLA-MPs对土壤理化性质、酶活性和微生物群落的影响。PLA-MPs增加了pH、土壤有机质、全氮(TN)和速效钾(AK)含量,提高了土壤超氧化物歧化酶(S- sod)、过氧化物酶(S- pod)、土壤过氧化氢酶(S- cat)、β-葡萄糖苷酶(S-β-GC)和脲酶(S- ue)活性。相反,碱性磷酸酶(S-ALP)活性降低。PLA-MPs粒径越大,对土壤理化性质的影响越明显,粒径越小,对土壤酶活性的影响越大。此外,PLA-MPs导致酸性菌群、氯氟菌群和双单胞菌群丰度增加,而变形菌群、放线菌群和Patescibacteria丰度下降。Mantel试验分析表明,微生物群落组成的变化影响了土壤的pH、AK、S- ue和S-β-GC等性状。通过未观察状态重建(PICRUSt2)分析进行的群落系统发育研究表明,PLA-MPs改变了细菌的代谢途径。结果表明,PLA-MPs的粒径和浓度对土壤养分和微生物群落结构和功能的影响存在差异,且粒径越大、浓度越高对土壤养分和微生物群落结构和功能的影响越显著。
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引用次数: 0
Evaluation of sources, spatial and temporal distribution, ecological and health risk associated with CAF (Caffeine) and DEET (N, N-diethyl-meta-toluamide) contamination in the urban groundwater parts of Vellore city, Tamilnadu, India. 评价印度泰米尔纳德邦Vellore市城市地下水中CAF(咖啡因)和DEET (N, N-二乙基-间甲酰胺)污染的来源、时空分布、生态和健康风险
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-08 DOI: 10.1007/s10653-024-02351-2
Daggupati Sridhar, Sundaram Parimalarenganayaki

Urban environments are heavily influenced by various activities, leading to contamination of water sources by emerging contaminants (ECs). Among these, caffeine (CAF) and N, N-diethyl-meta-toluamide (DEET) are notable ECs frequently found in domestic sewage due to human activities. Despite extensive research on emerging contaminants, limited studies have focused on the seasonal variations, human health and ecological risks of CAF and DEET in urban groundwater, particularly in Indian cities. This study aimed to analyze the occurrence, spatial distribution, ecological and health risks of CAF and DEET in groundwater in Vellore city, Tamil Nadu, India. A total of 96 groundwater samples were collected across four seasons in 2022 and analyzed using Hichrom HPLC in an 844 UV/VIS compact Ion Chromatography system. CAF and DEET were detected in 95% and 96% of samples, with mean concentrations of 34 μg/L and 30 μg/L, respectively. Contamination levels were higher during the Southwest Monsoon (SWM) and Northeast Monsoon (NEM) seasons. Health risk assessments for children, women, and men showed that CAF posed significant risks, particularly to children during the NEM season, followed by women and men. Although DEET exhibited lower health risks overall, children remained the most vulnerable group. Statistical analysis confirmed significant differences in exposure levels, with children showing the highest variations. Ecological risk assessment revealed that 96.88% of samples containing CAF posed moderate ecological risks, while 6.25% of DEET samples fell into the same category. This study highlights the widespread presence of CAF and DEET in urban groundwater and their associated health and ecological risks. The findings emphasize the need for effective strategies to monitor and mitigate EC contamination in urban water systems.

城市环境受到各种活动的严重影响,导致新出现的污染物(ECs)污染水源。其中,咖啡因(CAF)和N, N-二乙基-间甲苯酰胺(DEET)是人类活动导致的生活污水中常见的重要的ECs。尽管对新出现的污染物进行了广泛的研究,但有限的研究集中在城市地下水,特别是印度城市地下水中CAF和DEET的季节性变化、人类健康和生态风险。本研究旨在分析印度泰米尔纳德邦Vellore市地下水中CAF和DEET的发生、空间分布、生态和健康风险。在2022年4个季节共采集了96份地下水样品,并在844 UV/VIS紧凑型离子色谱系统中使用Hichrom HPLC进行了分析。CAF和DEET的检出率分别为95%和96%,平均浓度分别为34 μg/L和30 μg/L。西南季风(SWM)和东北季风(NEM)季节污染水平较高。对儿童、妇女和男子的健康风险评估表明,非洲热带气旋造成重大风险,特别是对新热带气旋季节的儿童,其次是妇女和男子。虽然避蚊胺总体上显示出较低的健康风险,但儿童仍然是最脆弱的群体。统计分析证实了暴露水平的显著差异,儿童表现出最大的差异。生态风险评价结果显示,含CAF的样品中96.88%存在中度生态风险,含避蚊胺的样品中6.25%存在中度生态风险。这项研究强调了在城市地下水中广泛存在的CAF和DEET及其相关的健康和生态风险。研究结果强调需要有效的战略来监测和减轻城市供水系统中的EC污染。
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引用次数: 0
Evaluating major element hydrogeochemistry and fluoride occurrence in groundwater of crystalline bedrock aquifers and associated controlling factors of Eumseong basin area, South Korea. 韩国阴城盆地结晶基岩含水层地下水主要元素水文地球化学和氟化物赋存及其控制因素评价
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-08 DOI: 10.1007/s10653-024-02356-x
Jong Hyun Oh, Dong-Chan Koh, Hyo-Sik Seo, Nayeon Koh, Sung Won Kim

Long-term intake of high-fluoride water can cause fluorosis in bones and teeth or damage to organs. Fluoride in groundwater is primarily derived from reactions with rocks containing fluorine-related minerals, and fluoride concentrations are elevated in groundwater that has been reacting with these rocks for a long time. The purpose of this study is to investigate the origin and distribution of fluoride in groundwater and to assess the influence of various factors, including geology, on fluoride concentrations in groundwater. The Eumseong basin and surrounding areas were selected as the study area due to the diversity of geologic factors. 139 groundwater samples and 14 rock samples were collected, with groundwater samples subjected to field water quality measurements, chemical analysis, and statistical analysis, and rock samples subjected to microscopic observation and chemical analysis. Fluoride concentration in groundwater increased with well depth, and was highest in groundwater associated with granitic rocks rich in biotite. The fluoride concentration in groundwater showed a negative correlation with the distance to the fault, suggesting that deep groundwater may preferentially flow along fault zones in certain areas. In addition, high-fluoride groundwater had depleted water-stable isotope values, which is likely to be resulted from higher degree of water-rock interaction in groundwater recharged at higher elevations. Calcite precipitation in most groundwater appears to weaken fluorite solubility control on fluoride concentration. Multivariate statistical analysis revealed that water-rock interactions generally governed fluoride and major element concentrations, with high-fluoride groundwater clearly distinguished. These findings can aid in assessing fluoride occurrence in groundwater and managing water quality in areas with similar geological characteristics.

长期饮用高氟水会导致骨骼和牙齿氟中毒或器官受损。地下水中的氟化物主要来自与含有氟相关矿物的岩石的反应,与这些岩石长期反应的地下水中的氟化物浓度升高。本研究的目的是调查地下水中氟化物的来源和分布,并评价地质等各种因素对地下水中氟化物浓度的影响。考虑到地质因素的多样性,选择阴城盆地及其周边地区作为研究区域。采集了139个地下水样品和14个岩石样品,其中地下水样品进行了现场水质测量、化学分析和统计分析,岩石样品进行了显微观察和化学分析。地下水中氟化物浓度随井深的增加而增加,与富含黑云母的花岗岩伴生的地下水中氟化物浓度最高。地下水中氟化物浓度与断层距离呈负相关,说明在某些地区深部地下水可能优先沿断裂带流动。此外,高氟化物地下水的水稳定同位素值已经耗尽,这可能是由于在高海拔地区补给的地下水中水岩相互作用程度较高所致。大多数地下水中方解石的沉淀似乎减弱了萤石溶解度对氟化物浓度的控制。多变量统计分析表明,水岩相互作用一般控制氟化物和主要元素浓度,高氟化物地下水明显区分。这些发现有助于评估地下水中氟化物的含量,并有助于在具有类似地质特征的地区管理水质。
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引用次数: 0
Associations of phthalate and phthalate alternative metabolites in urine with the risk of gallstones in adults: a cross-sectional analysis. 成人尿中邻苯二甲酸酯和邻苯二甲酸酯替代代谢物与胆结石风险的关系:横断面分析
IF 3.2 3区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL Pub Date : 2025-01-06 DOI: 10.1007/s10653-024-02354-z
Tianshan Shi, Di Li, Donghua Li, Peng Xie, Jin Sun, Tingrong Wang, Rui Li, Zixuan Zou, Zhenjuan Li, Xiaowei Ren

It remains unclear whether phthalates are associated with gallstones and whether the associations of phthalate alternatives with gallstones are different from traditional phthalates. In this study, 1735 participants from the NHANES 2017-2018 were included and their urine was used to detect phthalate metabolites. We used logistic and restricted cubic spline regressions to assess individual associations and dose-response relationships between phthalate metabolites and gallstones, quantile g-computation and Bayesian kernel machine regression to assess mixed associations of phthalate metabolites with gallstones, and subgroup analyses to explore potential effect modifiers. We observed that individual associations of cyclohexane-1,2-dicarboxylic acid-mono(carboxyoctyl) ester phthalate (MCOCHP) (OR: 1.423, 95% CI: 1.098-1.844) and cyclohexane 1,2-dicarboxylic acid monohydroxy isononyl ester (MHNCH) (OR: 1.380, 95% CI: 1.080-1.763) with gallstones were linearly positive, mixed association of phthalate metabolites (OR: 2.453, 95% CI: 1.054-5.708) with gallstones was also positive, and MCOCHP and MHNCH had positive weights. The associations of phthalate metabolites with gallstones were higher in the males and participants with age ≥ 60 years, BMI ≥ 30 kg/m2, hypertension, and diabetes. MCOCHP and MHNCH had the highest groupPIP (groupPIP: 0.941), mono(2-ethyl-5-carboxypentyl) terephthalate (MECPTP) had the highest condPIP (condPIP: 0.721), and mono(2-ethyl-5-carboxypentyl) phthalate (MECPP), MCOCHP, and mono-isobutyl phthalate (MiBP) also had high condPIPs (condPIP > 0.5). The trend in mixed associations of phthalate metabolites with gallstones was positive. Our study suggests that traditional phthalates and phthalate alternatives are associated with gallstones, especially in the elderly, men, obese, hypertensive populations, and diabetic populations, and phthalate alternatives are associated with a higher risk of gallstones.

目前尚不清楚邻苯二甲酸盐是否与胆结石有关,以及邻苯二甲酸盐替代品与胆结石的关系是否与传统的邻苯二甲酸盐不同。在这项研究中,来自NHANES 2017-2018的1735名参与者被纳入其中,他们的尿液被用来检测邻苯二甲酸酯代谢物。我们使用逻辑回归和限制三次样条回归来评估邻苯二甲酸酯代谢物与胆结石之间的个体关联和剂量-反应关系,分位g计算和贝叶斯核机回归来评估邻苯二甲酸酯代谢物与胆结石之间的混合关联,并使用亚组分析来探索潜在的效应修饰因子。我们观察到环己烷-1,2-二羧酸-邻苯二甲酸单(羧酸辛基)酯(mcchp) (OR: 1.423, 95% CI: 1.098-1.844)和环己烷-1,2-二羧酸单羟基异壬基酯(MHNCH) (OR: 1.380, 95% CI: 1.080-1.763)与胆结石的个体相关性呈线性正相关,邻苯二甲酸代谢物(OR: 2.453, 95% CI: 1.054-5.708)与胆结石的混合相关性也呈正相关,且MCOCHP和MHNCH的权重均为正相关。邻苯二甲酸酯代谢物与胆结石的相关性在男性和年龄≥60岁、BMI≥30 kg/m2、高血压和糖尿病的参与者中更高。MCOCHP和MHNCH的ppip最高(groupPIP: 0.941),邻苯二甲酸单(2-乙基-5-羧基戊二酯)(MECPTP)的condPIP最高(condPIP: 0.721),邻苯二甲酸单(2-乙基-5-羧基戊二酯)(MECPP)、MCOCHP和邻苯二甲酸单异丁酯(MiBP)的condPIP也很高(condPIP > 0.5)。邻苯二甲酸酯代谢物与胆结石的混合关联呈阳性趋势。我们的研究表明,传统的邻苯二甲酸盐和邻苯二甲酸盐替代品与胆结石有关,特别是在老年人、男性、肥胖人群、高血压人群和糖尿病人群中,邻苯二甲酸盐替代品与胆结石的高风险相关。
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引用次数: 0
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Environmental Geochemistry and Health
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