Qishlaqi Afshin, Beiramali Fahimeh
Faculty of Earth Sciences, Shahrood University of Technology, Shahrood, Iran.
J Environ Health Sci Eng. 2019 Dec 11;17(2):1029-1044. doi: 10.1007/s40201-019-00417-3. eCollection 2019 Dec.
In the present study chemical fingerprinting approach (isomeric ratios), a receptor-oriented model (principal component analysis with multiple linear regression, PCA/MLR) and a probabilistic health risk framework were employed to characterization, source appointment and carcinogenic risk assessment of polycyclic aromatic hydrocarbons (PAHs) in street dusts of Karaj urban area (northern Iran). Thirty street dusts samples were collected from the different functional areas in the city of Karaj and analyzed for PAHs by gas chromatography/mass spectrometry (GS/MS). The results obtained showed that ∑16PAHs concentrations varied widely from 16.2 to 1236.2 with a mean of 624 μg/kg and decreased in the following order of functional areas; traffic> residential > green/park areas. PAHs profile in the majority of dust samples were dominated by 5-6 rings PAHs, accounting for 25%-95% of the total PAHs. Qualitative source apportionment using the molecular isomeric ratios indicated mixed sources of PAHs in street dusts while PCA/MLR receptor model quantitatively identified three major sources with following relative contributions to the total dust PAH burden; 51% for pyrogenic-traffic sources, 32% for traffic-stationary sources and, 16% for petrogenic sources. The results of health risk assessment based on probabilistic model indicated that at the 95% percentiles, total cancer risks for children and adults are 8.43 × 10 and 3.34 × 10, respectively which both are higher than the acceptable baseline (10) indicating potential carcinogenic risk for local residents. It was also revealed that dust ingestion pathway is the most important contributor to the total carcinogenic risks of PAHs for both children and adults although the cancer risk level for adults through dermal and inhalation was 10 times greater than that for children. Based on the sensitivity analysis using the Monte Carlo simulation, benzo[a]pyrene equivalent concentration, exposure duration, dermal exposure area and ingestion rate were found to be the most sensitive exposure parameters which could introduce uncertainties into the cancer risk estimated.
在本研究中,采用化学指纹图谱法(异构体比例)、面向受体的模型(主成分分析与多元线性回归,PCA/MLR)和概率健康风险框架,对伊朗北部卡拉季市区街道灰尘中的多环芳烃(PAHs)进行表征、源解析和致癌风险评估。从卡拉季市不同功能区采集了30个街道灰尘样本,采用气相色谱/质谱联用仪(GS/MS)分析其中的PAHs。结果表明,∑16PAHs浓度在16.2至1236.2之间变化很大,平均值为624μg/kg,且在不同功能区中的浓度顺序为:交通区>居民区>绿化/公园区。大多数灰尘样本中的PAHs谱以5 - 6环PAHs为主,占总PAHs的25% - 95%。利用分子异构体比例进行的定性源解析表明,街道灰尘中的PAHs来源混合,而PCA/MLR受体模型定量识别出三个主要来源,对总灰尘PAH负荷的相对贡献如下:热成因 - 交通源占51%,交通 - 固定源占32%,石油源占16%。基于概率模型的健康风险评估结果表明,在第95百分位数时,儿童和成人的总癌症风险分别为8.43×10和3.34×10,均高于可接受基线(10),表明当地居民存在潜在致癌风险。研究还表明,尽管成人通过皮肤接触和吸入途径的癌症风险水平比儿童高10倍,但灰尘摄入途径是儿童和成人PAHs总致癌风险的最重要贡献因素。基于蒙特卡洛模拟的敏感性分析发现,苯并[a]芘当量浓度、暴露持续时间、皮肤暴露面积和摄入率是最敏感的暴露参数,可能会给估计的癌症风险带来不确定性。