The accumulation of organic contaminants in hair with different biological characteristics

头发分析 环境化学 化学 生物监测 污染 人口 黑色素 毒理 生物 生物化学 生态学 医学 替代医学 人口学 病理 社会学
作者
Bin Tang,Jing Zheng,Shi-Mao Xiong,Fengshan Cai,Min Li,Yan Ma,Bo Gao,Dong-Wei Du,Yunjiang Yu,Bi‐Xian Mai
出处
期刊:Chemosphere [Elsevier]
卷期号:312: 137064-137064 被引量:4
标识
DOI:10.1016/j.chemosphere.2022.137064
摘要

Human hair has increasingly been used as a noninvasive biomonitoring matrix for assessment of human exposure to various organic contaminants (OCs). However, the accumulation processes of OCs in hair remains unclear thus far, which raised concerns on the reliability of hair analysis results for OCs. Herein, Chinese population was selected as the study subject, the effects of changes in hair biological characteristics, including length and color, on the accumulation of OCs in hair was investigated. With the growing of hair shaft and the increased distance from the scalp, a significant increasing trend was found for levels of polychlorinated biphenyls (PCBs) and organophosphate flame retardants (PFRs) along the hair shafts (p < 0.05). Source identification using Chemical Mass Balance model indicated that PCBs in hair were mainly from exogenous sources (air and dust). The accumulation rates of PCB and PFR individuals in the hair shaft decreased with increasing of log Kow values. Additionally, the levels of OCs in hair decreased with the change in color from black to white, probably because of the loss of melanin in white hair. The ratios (R) of Cblack/Cwhite were significantly correlated with the log Kow values for individual chemicals (p < 0.05), implying that OCs with high log Kow values tend to accumulate more readily in black hair. The results of this study demonstrated the growth and change in colors of hair, as well as the physicochemical properties of chemicals, play vital roles in the accumulation of OCs in hair. The present study provides fundamental basis for the precise assessment of human exposure to OCs using hair as a biomonitoring matrix in future studies.

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
华仔应助好运6连采纳,获得10
1秒前
2秒前
怪味肉松饼完成签到,获得积分10
3秒前
小饼一定要上岸完成签到,获得积分10
3秒前
善学以致用应助悟樂采纳,获得10
3秒前
cindy发布了新的文献求助10
3秒前
Viikey完成签到,获得积分0
4秒前
4秒前
英俊的铭应助东方诩采纳,获得10
6秒前
小米完成签到,获得积分10
7秒前
科研通AI6.1应助思维隋采纳,获得10
8秒前
8秒前
wanci应助复杂麦片采纳,获得10
8秒前
风清扬发布了新的文献求助10
9秒前
kuan_完成签到 ,获得积分10
9秒前
简让完成签到 ,获得积分10
9秒前
悟樂完成签到,获得积分10
10秒前
小六完成签到 ,获得积分10
10秒前
11秒前
11秒前
11秒前
奋斗的晓丝完成签到,获得积分10
12秒前
Lim1819完成签到 ,获得积分10
13秒前
dida完成签到,获得积分10
13秒前
13秒前
13秒前
15秒前
15秒前
15秒前
16秒前
真实的豆芽完成签到,获得积分10
16秒前
lly发布了新的文献求助10
16秒前
汉堡包应助科研通管家采纳,获得30
17秒前
17秒前
CipherSage应助科研通管家采纳,获得10
17秒前
17秒前
ding应助科研通管家采纳,获得30
17秒前
隐形曼青应助科研通管家采纳,获得10
17秒前
liao应助科研通管家采纳,获得10
17秒前
阿申爱乐应助科研通管家采纳,获得30
18秒前
高分求助中
(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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6015120
求助须知:如何正确求助?哪些是违规求助? 7590609
关于积分的说明 16147868
捐赠科研通 5162725
什么是DOI,文献DOI怎么找? 2764185
邀请新用户注册赠送积分活动 1744600
关于科研通互助平台的介绍 1634626