A Nationwide Investigation of Substituted p-Phenylenediamines (PPDs) and PPD-Quinones in the Riverine Waters of China

中国 化学 地理 考古
作者
Ningbo Geng,Shijiao Hou,Shuai Sun,Rong Cao,Haijun Zhang,Xianbo Lu,Shusheng Zhang,Jiping Chen,Yanhao Zhang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:59 (6): 3183-3192 被引量:34
标识
DOI:10.1021/acs.est.4c09519
摘要

N-(1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPD-Q) has been identified as the cause of the "urban runoff mortality syndrome." Thus, the ecological risks of substituted p-phenylenediamines (PPDs) and their quinone derivatives (PPD-Qs) in water have gained global attention. However, large-scale observation of their pollution characteristics in surface water is still lacking. Herein, a nationwide investigation revealed the pervasive occurrence of PPDs and PPD-Qs in riverine waters across China, with the mean concentration of ∑5PPD-Qs being 4.9 times higher than their parent ∑5PPDs. Notably, the 6PPD-Q concentrations at eight sampling sites exceeded the median lethal concentration for coho salmon. National annual riverine fluxes were estimated at 113.1 and 276.2 tonnes/year for PPDs and PPD-Qs, respectively, with the Yangtze River contributing more than one-third of the total fluxes. The transformation of PPDs to PPD-Qs was dependent on atmospheric hydroxylation rates and the half-lives of PPDs. A combined multimedia exposure assessment revealed that water exposure accounted for 82.5% of human exposure to PPDs and PPD-Qs, surpassing the contributions from dust and air exposure. This study provides a comprehensive spatial picture of PPDs and PPD-Qs in China. The national atlas highlights their potential ecological risks and implies that targeted actions should be taken to mitigate potential exposure to PPDs and PPD-Qs.
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
1秒前
科研通AI6.4应助dizzyout采纳,获得10
2秒前
lie发布了新的文献求助10
3秒前
隐形曼青应助高言采纳,获得10
3秒前
4秒前
小蘑菇应助zz采纳,获得10
4秒前
Eric完成签到,获得积分0
5秒前
SciGPT应助不呐呐采纳,获得10
5秒前
raven发布了新的文献求助10
5秒前
YMY发布了新的文献求助10
5秒前
6秒前
玉米2号完成签到,获得积分10
6秒前
zbidnh发布了新的文献求助10
6秒前
wjm关注了科研通微信公众号
7秒前
kilo关注了科研通微信公众号
7秒前
wanci应助粗暴的问凝采纳,获得10
7秒前
9秒前
9秒前
9秒前
10秒前
10秒前
CodeCraft应助Pluto采纳,获得10
10秒前
淡淡的妙梦完成签到,获得积分10
11秒前
听话的雨灵完成签到,获得积分10
11秒前
13秒前
13秒前
13秒前
JyangBiao完成签到,获得积分10
13秒前
zyl关闭了zyl文献求助
16秒前
17秒前
坦率灵槐发布了新的文献求助10
17秒前
Prospect完成签到,获得积分10
17秒前
玉米完成签到,获得积分10
17秒前
结实的冰真完成签到,获得积分10
17秒前
科研通AI6.2应助单身刺猬采纳,获得10
18秒前
Koi发布了新的文献求助10
19秒前
汉堡包应助linman采纳,获得10
19秒前
微笑糖豆发布了新的文献求助10
19秒前
Hello应助温柔的白风采纳,获得10
19秒前
lhxing发布了新的文献求助10
21秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7243731
求助须知:如何正确求助?哪些是违规求助? 8867931
关于积分的说明 18706344
捐赠科研通 6918292
什么是DOI,文献DOI怎么找? 3196713
关于科研通互助平台的介绍 2370441
邀请新用户注册赠送积分活动 2171347