[城市居民单羟基多环芳烃暴露特征及影响因素]。

Hui Fu, Yi-Fu Lu, Lin-Na Xie, Ying Zhu, Zheng Li, Xiao-Jian Hu
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引用次数: 0

摘要

多环芳烃(PAHs)是自然界和受人类活动影响的环境中普遍存在的有机污染物。多环芳烃通过吸入、摄入或皮肤接触进入人体,威胁人体健康。多环芳烃污染主要发生在城市地区,主要原因是人口密集、交通繁忙和空气污染物扩散有限。本研究采用同位素稀释-液-液萃取-气相色谱-高分辨率双焦点磁质谱联用技术(GC-HRMS)对城市居民非职业性多环芳烃暴露现状进行了评价。对北京市92名2 ~ 80岁常住居民的多环芳烃负担进行了调查。在尿样中测定了10种单羟基多环芳烃(OH-PAHs),即羟基萘(OHNap,包括1-OHNap和2-OHNap)、羟基芴(OHFlu,包括2-OHFlu、3-OHFlu和9-OHFlu)、羟基菲(OHPhe,包括1-OHPhe、2-OHPhe、3-OHPhe和4-OHPhe)和1-羟基芘(1-OHPyr)。用尿肌酐校正OH-PAH水平,低于lod的结果用lod值的一半代替。采用Spearman秩相关分析(双尾)评估OH-PAHs之间的相关性。采用非参数Mann-Whitney U检验和Kruskal-Wallis H检验比较不同人群中OH-PAH水平的分布。结果显示,所有尿样均检出6种OH-PAHs (1-OHNap、2-OHNap、2-OHFlu、9-OHFlu、1-OHPhe和2-OHPhe)。10种OH-PAHs的总含量(ΣOH-PAHs)在661 ~ 33 782 ng/g之间,总体几何平均值(GM)为2 775 ng/g,个体间差异显著。OHNap>OHFlu>OHPhe>1 ohpyr,与分子大小呈显著负相关。以OHNap为主,占62.2%。发现OH-PAHs之间存在复杂的相关性,9-OHFlu表现出独特的暴露模式。尿中OH-PAH水平与性别和年龄相关,吸烟也是一个重要的影响因素。ΣOH-PAHs在青年组(0-15岁)达到峰值,GM为3 940 ng/g。ΣOH-PAHs水平在工作年龄组(16-59岁,GM: 2 598 ng/g)和老年组(≥60岁,GM: 2 639 ng/g)中相似。这表明年龄是多环芳烃暴露的关键因素。研究发现,习惯性吸烟持续且显著地影响OH-PAH水平,吸烟者的OH-PAH水平通常高于不吸烟者。虽然男性的总体暴露水平高于女性,但在排除吸烟因素后,女性的1-OHPyr水平显著高于男性(p=0.03),这表明性别之间的代谢和行为差异会影响多环芳烃暴露。本研究揭示了北京市居民中多环芳烃的暴露及分布特征。为多环芳烃污染及其健康影响研究、流行病学调查、疾病负担评估和政策制定提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

[Exposure characteristics of monohydroxypolycyclic aromatic hydrocarbons and influencing factors in urban residents].

[Exposure characteristics of monohydroxypolycyclic aromatic hydrocarbons and influencing factors in urban residents].

[Exposure characteristics of monohydroxypolycyclic aromatic hydrocarbons and influencing factors in urban residents].

Polycyclic aromatic hydrocarbons (PAHs) are organic pollutants that are ubiquitous in nature and in environments affected by anthropogenic activities. PAHs enter the human body through inhalation, ingestion, or skin contact, and consequently threaten human health. Urban areas are mostly affected by PAHs pollution, which is ascribable to dense population, heavy traffic, and limited air-pollutant diffusion. In this study, we assessed the current status of PAHs exposure among non-occupationally exposed urban residents using isotope dilution combined with liquid-liquid extraction-gas chromatography-high resolution dual-focus magnetic mass spectrometry (GC-HRMS). The burden of PAHs of 92 permanent residents aged 2 to 80 years in Beijing was investigated. Ten monohydroxypolycyclic aromatic hydrocarbons (OH-PAHs) were measured in urine samples, namely hydroxynaphthalene (OHNap, including 1-OHNap and 2-OHNap), hydroxyfluorene (OHFlu, including 2-OHFlu, 3-OHFlu, and 9-OHFlu), hydroxyphenanthrene (OHPhe, including 1-OHPhe, 2-OHPhe, 3-OHPhe, and 4-OHPhe), and 1-hydroxypyrene (1-OHPyr). The OH-PAH levels were corrected with urinary creatinine, with results below LODs replaced with half the value of LODs. Correlations between OH-PAHs were assessed using Spearman's rank correlation analysis (two-tailed). The nonparametric Mann-Whitney U test and the Kruskal-Wallis H test were used to compare the distribution of OH-PAH levels in different populations. The results showed that six OH-PAHs (1-OHNap, 2-OHNap, 2-OHFlu, 9-OHFlu, 1-OHPhe, and 2-OHPhe) were detected in all the urine samples. The total contents (ΣOH-PAHs) of the 10 OH-PAHs ranged from 661 to 33 782 ng/g, with an overall geometric mean (GM) of 2 775 ng/g and significant inter-individual differences. The following content-distribution trend was observed: OHNap>OHFlu>OHPhe>1-OHPyr, with a significant negative correlation with molecular size recorded. OHNap was mainly observed, accounting for 62.2% of the total. Complex correlations were found to existed between the OH-PAHs, with 9-OHFlu exhibiting unique exposure patterns. Urinary OH-PAH levels were found to correlate with gender and age, and smoking was also observed to be a significant influencing factor. ΣOH-PAHs peaked in the youth group (0‒15 years), with a GM of 3 940 ng/g. Levels of ΣOH-PAHs were similar in the working-age group (16‒59 years, GM: 2 598 ng/g) and in the elderly group (≥60 years, GM: 2 639 ng/g). These suggest that age is a key PAH-exposure factor. Habitual smoking was found to consistently and significantly affect OH-PAH levels, with smokers generally having higher levels of OH-PAH than non-smokers. While males exhibited higher overall exposure levels than females, females exhibited significantly higher levels of 1-OHPyr than males (p=0.03) when smoking was excluded, which suggests that metabolic and behavioral differences between genders impact PAHs exposure. This study revealed the exposure and distribution characteristics of OH-PAHs in Beijing residents. It provides a scientific basis for studying PAHs pollution and its health effect, as well as epidemiological investigations, disease-burden assessments, and policy formulation.

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