Priority screening of contaminants of emerging concern in drinking water sources of eastern China: Assessing risks based on exposure-activity ratios (EARs)

环境卫生 风险评估 危险系数 环境科学 污染 毒理 人类健康 医学 生物 生态学 计算机科学 计算机安全
作者
Shijiao Ma,Huiyu Dong,Ding Li,Wei Fu,Qinkui Miao,Shengnian Wu,Zhimin Qiang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:893: 164881-164881 被引量:11
标识
DOI:10.1016/j.scitotenv.2023.164881
摘要

Increasing and widely detected contaminants of emerging concern (CECs) pose a threat to drinking water safety. Compared with traditional methods, the exposure-activity ratio (EAR) method based on the ToxCast database may have unique advantages in risk assessment of drinking water sources because it provides massive multi-target high-throughput screening toxicity effect data assessment for chemicals with missing traditional toxicity data. In this study, 112 CECs at 52 sampling sites in drinking water sources in Zhejiang Province of eastern China were investigated. Based on EARs and occurrence, priority chemicals were identified as difenoconazole (priority level 1), dimethomorph (priority level 2), acetochlor, caffeine, carbamazepine, carbendazim, paclobutrazol and pyrimethanil (priority level 3). Different from single observable biological effect in traditional methods, a variety of observable biological effects caused by high-risk targets were explored through adverse outcomes pathways (AOPs), revealing ecological risks as well as human health risks, for example, hepatocellular adenomas and carcinomas. Furthermore, the difference between the maximum EAR for a given chemical in a sample (EARmax) and the toxicity quotient (TQ) in priority screening of CECs was compared. The results show that screening priority CECs based on the EAR method is acceptable and more sensitive, suggesting the difference between in vitro and in vivo toxic effects and the necessity of incorporating the harm degree of biological effects into the EAR method to screen priority chemicals in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
penguo发布了新的文献求助10
刚刚
刚刚
默默千亦完成签到 ,获得积分10
1秒前
莫默完成签到,获得积分10
2秒前
4秒前
Jasper应助lisbattery采纳,获得10
4秒前
lww发布了新的文献求助10
5秒前
5秒前
雨什么佳发布了新的文献求助10
6秒前
研友_VZG7GZ应助LOTUS采纳,获得10
6秒前
7秒前
8秒前
兔子胡萝卜完成签到,获得积分10
9秒前
李健的小迷弟应助啦啦啦采纳,获得20
9秒前
10秒前
10秒前
张张完成签到,获得积分10
10秒前
jq完成签到,获得积分10
10秒前
11秒前
11秒前
田様应助111采纳,获得10
14秒前
15秒前
11发布了新的文献求助10
15秒前
Dester发布了新的文献求助10
16秒前
稳重的又菱完成签到,获得积分10
17秒前
我是老大应助郑一鸣采纳,获得10
17秒前
小次之山完成签到,获得积分10
18秒前
18秒前
clamdown发布了新的文献求助100
18秒前
3361702776发布了新的文献求助10
20秒前
TAA66发布了新的文献求助10
20秒前
20秒前
共享精神应助BENRONG采纳,获得10
20秒前
NexusExplorer应助liuwei采纳,获得10
21秒前
任性完成签到 ,获得积分10
21秒前
22秒前
22秒前
大模型应助淡然可冥采纳,获得10
23秒前
24秒前
科研通AI6.3应助CHA采纳,获得10
25秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492681
求助须知:如何正确求助?哪些是违规求助? 8290272
关于积分的说明 17690439
捐赠科研通 5584589
什么是DOI,文献DOI怎么找? 2915411
邀请新用户注册赠送积分活动 1892511
关于科研通互助平台的介绍 1750705