A review on analysis methods, source identification, and cancer risk evaluation of atmospheric polycyclic aromatic hydrocarbons.

Analysis methods Cancer risk evaluation Compound-specific isotopic analysis Polycyclic aromatic hydrocarbons Receptor models Source identification

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
01 Oct 2021
Historique:
received: 27 02 2021
revised: 06 05 2021
accepted: 09 05 2021
pubmed: 1 6 2021
medline: 23 7 2021
entrez: 31 5 2021
Statut: ppublish

Résumé

Polycyclic aromatic hydrocarbons (PAHs) have gained attention because of their environmental persistence and effects on ecosystems, animals, and human health. They are mutagenic, carcinogenic, and teratogenic. The review provides background knowledge about their sources, metabolism, temporal variations, and size distribution in atmospheric particulate matter. The review article briefly discusses the analytical methods suitable for the extraction, characterization, and quantification of nonpolar and polar PAHs, addressing the challenges. Herein, we discussed the molecular diagnostic ratios (DRs), stable carbon isotopic analysis (SCIA), and receptor models, with much emphasis on the positive matrix factorization (PMF) model, for apportioning PAH sources. Among which, DRs and PCA identified as the most widely employed method, but their accuracy for PAH source identification has received global criticism. Therefore, the review recommends compound-specific isotopic analysis (CSIA) and PMF as the best alternative methods to provide detailed qualitative and quantitative source analysis. The compound-specific isotopic signatures are not affected by environmental degradation and are considered promising for apportioning PAH sources. However, isotopic fractions of co-eluted compounds like polar PAHs and aliphatic hydrocarbons make the PAHs isotopic fractions interpretation difficult. The interference of unresolved complex mixtures is a limitation to the application of CSIA for PAH source apportionment. Hence, for CSIA to further support PAH source apportionment, fast and cost-effective purification techniques with no isotopic fractionation effects are highly desirable. The present review explains the concept of stable carbon isotopic analysis (SCIA) relevant to PAH source analysis, identifying the techniques suitable for sample extract purification. We demonstrate how the source apportioned PAHs can be applied in assessing the health risk of PAHs using the incremental lifetime cancer risk (ILCR) model, and in doing so, we identify the key factors that could undermine the accuracy of the ILCR and research gaps that need further investigation.

Identifiants

pubmed: 34058584
pii: S0048-9697(21)02812-6
doi: 10.1016/j.scitotenv.2021.147741
pii:
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0
Polycyclic Aromatic Hydrocarbons 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

147741

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declared that they have no known competing financial interest or personal relationship that could have appeared to influence the work reported in this review paper.

Auteurs

Lord Famiyeh (L)

Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China.

Ke Chen (K)

Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China.

Jingsha Xu (J)

School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.

Yong Sun (Y)

Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China.

Qingjun Guo (Q)

Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: guoqj@igsnrr.ac.cn.

Chengjun Wang (C)

College of Resources and Environmental Science, South-Central University of Nationalities, Wuhan 430074, China.

Jungang Lv (J)

Procuratoral Technology and Information Research Center, Supreme People's Procuratorate, Beijing 100144, China.

Yu-Ting Tang (YT)

Department of Geographical Sciences, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China.

Huan Yu (H)

Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.

Collin Snape (C)

Department of Chemical and Environmental Engineering, University of Nottingham, University Park, Nottingham NG7 2RD, UK.

Jun He (J)

Department of Chemical and Environmental Engineering, University of Nottingham Ningbo China, 199 Taikang E Rd, Ningbo 315100, China; Key Laboratory of Carbonaceous Wastes Processing and Process Intensification Research of Zhejiang Province. University of Nottingham Ningbo China, Ningbo 315100, China. Electronic address: Jun.He@nottingham.edu.cn.

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Classifications MeSH