Ambient particulate matter oxidative potential: Chemical determinants, associated health effects, and strategies for risk management

微粒 环境化学 化学 抗坏血酸 人口 污染物 二硫苏糖醇 氧化剂 环境卫生 生物化学 医学 有机化学 食品科学 酶
作者
Dong Gao,Susannah Ripley,Scott Weichenthal,Krystal J. Godri Pollitt
出处
期刊:Free Radical Biology and Medicine [Elsevier BV]
卷期号:151: 7-25 被引量:145
标识
DOI:10.1016/j.freeradbiomed.2020.04.028
摘要

Exposure to ambient air pollution has an adverse influence on human health. There is increasing evidence that oxidative potential (OP), the capacity of airborne pollutants to oxidize target molecules by generating redox oxidizing species, is a plausible metric for particulate matter (PM) toxicity. Here we describe the commonly used acellular techniques for measuring OP (respiratory tract lining fluid, dithiothreitol, ascorbic acid, and electron paramagnetic resonance assays) and review the PM chemical constituents that have been identified to drive the OP response. We further perform a review of the epidemiologic literature to identify studies that reported an association between exposure to ambient PM and a health outcome in a human population, and in which exposure was measured by both PM mass concentration and OP. Laboratory studies have shown that specific redox-active metals and quinones are able to contribute OP directly. However, interactions among PM species may alter the redox properties of PM components. In ambient PM measurements, all OP assays were found to be correlated with metals (Fe, Cu) and organic species (photochemically aged organics). Across the epidemiological studies reviewed, associations between fine PM (PM2.5) mass and cardio-respiratory outcomes were found to be stronger at elevated OP levels but findings varied across the different OP measurement techniques. Future work should aim to identify specific situations in which PM OP can improve air pollution exposure assessment and/or risk management. This may be particularly useful in countries with low PM2.5 mass concentrations over broad spatial scales where such information may greatly improve the efficiency of risk management activities.

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