色谱 ›› 2025, Vol. 43 ›› Issue (6): 670-677.DOI: 10.3724/SP.J.1123.2024.10006

• 研究论文 • 上一篇    下一篇

城市居民单羟基多环芳烃暴露特征与影响因素分析

付慧, 陆一夫, 谢琳娜, 朱英, 李峥, 胡小键*()   

  1. 中国疾病预防控制中心环境与人群健康重点实验室,中国疾病预防控制中心环境与健康相关产品安全所,北京 100021
  • 收稿日期:2024-10-17 出版日期:2025-06-08 发布日期:2025-05-21
  • 通讯作者: * E-mail:huxiaojian@nieh.chinacdc.cn.
  • 基金资助:
    首都卫生发展科研专项项目(2022-1G-3013);国家自然科学基金(82388102)

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

FU Hui, LU Yifu, XIE Linna, ZHU Ying, LI Zheng, HU Xiaojian*()   

  1. China CDC Key Laboratory of Environment and Population Health,National Institute of Environmental Health,Chinese Center for Disease Control and Prevention,Beijing 100021,China
  • Received:2024-10-17 Online:2025-06-08 Published:2025-05-21
  • Supported by:
    Capital’s Funds for Health Improvement and Research of China(2022-1G-3013);National Natural Science Foundation of China(82388102)

摘要:

为了解城市地区非职业暴露居民多环芳烃(PAHs)暴露现状,研究采用同位素稀释结合液液萃取-气相色谱-高分辨双聚焦磁质谱技术,对北京市92名2~80岁常住居民尿液中10种单羟基多环芳烃(OH-PAHs)进行定量分析,并以尿肌酐校正OH-PAHs含量。低于检出限的结果以检出限的1/2代替。通过Spearman秩相关分析(双尾)评估OH-PAHs间的相关性,并用非参数Mann-Whitney U检验及Kruskal-Wallis H检验比较不同人群OH-PAHs含量分布。结果显示,1-羟基萘、2-羟基萘、2-羟基芴、9-羟基芴、1-羟基菲和2-羟基菲等6种OH-PAHs的检出率达到100%。10种OH-PAHs的总含量(ΣOH-PAHs)为661~33 782 ng/g,几何平均值(GM)为2 775 ng/g,个体间差异显著。OH-PAHs含量分布趋势为羟基萘>羟基芴>羟基菲>1-羟基芘,与分子大小显著负相关,羟基萘为主要化合物,占比62.2%。OH-PAHs之间存在复杂的相关性,9-羟基芴显示出独特的暴露模式。尿液中OH-PAHs含量与性别、年龄相关,而吸烟是重要的影响因素。ΣOH-PAHs在少年儿童组(0~15岁,GM为3 940 ng/g)达到峰值,劳动年龄组(16~59岁,GM为2 598 ng/g)和老年组(≥60岁,GM为2 639 ng/g)水平相近,显示年龄为关键影响因素。吸烟习惯对OH-PAHs含量有一致且显著的影响,吸烟者的OH-PAHs含量普遍高于非吸烟者。男性总体暴露水平高于女性,但排除吸烟因素后,女性1-羟基芘含量水平显著高于男性,提示性别间代谢和行为差异对PAHs暴露有影响。研究揭示了北京居民OH-PAHs的暴露情况及含量分布特征,为PAHs污染及健康影响研究、流行病学调查、疾病负担评估及政策制定提供了科学依据。

关键词: 多环芳烃, 气相色谱-高分辨双聚焦磁质谱, 单羟基多环芳烃, 暴露特征, 影响因素

Abstract:

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.

Key words: polycyclic aromatic hydrocarbons (PAHs), gas chromatography-high resolution dual-focus magnetic mass spectrometry (GC-HRMS), monohydroxypolycyclic aromatic hydrocarbons (OH-PAHs), exposure characteristics, influencing factors

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