垃圾渗滤液中典型内分泌干扰物质(EDCs)细胞毒性分析

垃圾渗滤液的人类健康风险评估日益受到人们重视,也成为研究热点。本文采用一种新型高级氧化技术UV-Fenton处理渗滤液,并用人体乳腺癌细胞(MCF-7)评估处理过程中渗滤液原液以及渗滤液中典型内分泌干扰物质(EDCs)的细胞毒性,对垃圾渗滤液中EDCs的细胞毒性和变化规律进行了研究。结果表明渗滤液中的邻苯二甲酸二丁酯(DBP)、双酚A(BPA)、壬基酚(NP)是产生细胞毒性的主要物质,其毒性大小为DBPBPANP。在同样的氧化降解过程中显示出不同毒性变化规律,通过GC-MS分析,结果显示UV-Fenton过程中产生了大量的中间产物,这也是引起毒性变化的主要原因。实验结果也说明垃圾渗滤液细胞毒性可以通过UV-Fenton过程有效去除。     

农药环境风险评估中常用的计算毒理学模型软件

农药的大量使用为我国带来了严重的环境和健康问题,仅依靠传统生物测试和环境监测的方法已经不能满足农药风险评估的需要。利用计算毒理学模型,可以实现农药的高通量风险评估。本文主要介绍了农药环境风险评估中常用免费的EPI Suite、QSAR Toolbox和PBT Profiler等定量结构-活性关系(Quantitative Structure-Activity Relationship,QSAR)模型软件和SCIGROW、PRZM-GW、China-PEARL和EQC等环境多介质模型软件,以期能为农药的风险评估和科学管理提供参考。     

蔬菜常用农药在地下水中残留风险评估

为明确蔬菜常用农药在地下水中的环境风险,运用China-Pearl和SCI-GROW模型开展地下水环境暴露评估,并根据我国成人和儿童暴露参数推导25种农药预测无效应浓度(PNEC)。研究发现,25种农药PECgw为0~18.340μg·L-1,成年人PNECgw为0.003~19.654 mg·L-1,儿童PNECgw为0.001~23.253 mg·L-1。成年人和儿童的RQgw值均小于1,表明25种农药按照登记用量使用,我国成人和各年龄阶段儿童直接饮用施用农药区域地下水的环境风险可接受。     

Impacts of hydrologic variations on chemical weathering and solute sources in the Min River basin,Himalayan–Tibetan region

Environmental Science and Pollution Research - Feedback between hydrologic variations and chemical weathering is thought to play a crucial role in modulating global carbon cycling. The mechanisms...     

A dynamic modelling of nutrient metabolism in a cyclic activated sludge technology (CAST) for treating low carbon source wastewater

Environmental Science and Pollution Research - A new mathematical model incorporating biopolymer kinetics and the process of the simultaneous storage and growth are established for the treatment of...     

Application of phosphate solubilizing bacteria in immobilization of Pb and Cd in soil

Environmental Science and Pollution Research - In the present study, heavy metal (HM)-tolerant phosphate solubilizing bacteria (PSB) were isolated and their performance during the remediation of Pb...     

小腔体器件内部气氛检测试验夹具优化研究

简要介绍了小腔体器件内部气氛检测结果的主要影响因素,研究分析了当前小腔体器件内部气氛检测试验夹具存在的缺陷,明确提出了小腔体器件内部气氛检测试验夹具的优化思路和设计模型,提高了试验结果的准确性和稳定性。     

基于灰色系统理论的加速退化试验可靠性评估

加速退化试验的原始数据大部分是离散分布的,导致难以适用于传统可靠性评估方法。在加速退化试验数据的可靠性评估研究方面,提出了使用灰色系统理论方法来分析加速退化试验中获取的原始数据,通过对加速退化试验获得的量纲和时间长度均不相等的实验原始数据进行预处理、灰色关联度考查并建立灰色离散模型,实现初始数据同一性。最后以某电子组件加速退化试验数据为例,通过数据预处理和灰色系统理论分析两大步骤,实现对70℃下的加速退化试验原始数据的分析处理,验证了灰色系统理论对原始试验数据的处理可以进一步提高可靠性评估的实用性。     

Effective sorption of perfluorooctane sulfonate (PFOS) on hexadecyltrimethylammonium bromide immobilized mesoporous SiO2 hollow sphere

The hexadecyltrimethylammonium bromide (HDTMAB) immobilized hollow mesoporous silica spheres were prepared for the efficient removal of perfluorooctane sulfonate (PFOS) from aqueous solution. Besides the traditional sorption behavior including sorption kinetics as well as effect of solution pH and temperature, the effect of increasing volume which simulated the natural river where the rate of solute and solvent was relatively constant and solution volume was always changing was investigated. The result indicated that the residual PFOS concentrations in aqueous phase decreased with increasing solution pH and ionic strength, whereas they increased with increasing temperature. The HDTMAB immobilized material still maintained high efficiency after increasing volume, that is, the removal kept more than 99% after the treatment when the initial PFOS concentration was 1 mg L^?1. The uptake behavior and morphology of spheres which was characterized by transmission electron microscopy (TEM) revealed that the additional HDTMAB and mesoporous shell were responsible for the enhanced sorption of PFOS. It was concluded that electrostatic interaction and Ca-bridge role played an important role in the sorption of PFOS on the mesoporous SiO₂ hollow spheres, whereas, hydrophobic interaction contributed to the nice sorption performance of PFOS on the HDTMAB immobilized sorbent.