期刊
ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 57, 期 49, 页码 20657-20668出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.est.3c05304
关键词
aromatic photooxidation mechanism; gas-phasetracerproducts yields; NOx -dependency; dicarbonyl compounds; organic nitrates; chamberexperiments
This study investigated the oxidation process of aromatic hydrocarbons in the atmosphere and discovered the dominant pathway and new product distribution. The observed results provide important clues for understanding the chemical transformation of organic pollutants in the atmosphere.
Aromatic hydrocarbons are important contributors to the formation of ozone and secondary organic aerosols in urban environments. The different parallel pathways in aromatic oxidation, however, remain inadequately understood. Here, we investigated the production yields and chemical distributions of gas-phase tracer products during the photooxidation of alkylbenzenes at atmospheric OH levels with NOx present using high-resolution mass spectrometers. The peroxide-bicyclic intermediate pathway emerged as the major pathway in aromatic oxidation, accounting for 52.1 +/- 12.6%, 66.1 +/- 16.6%, and 81.4 +/- 24.3% of the total OH oxidation of toluene, m-xylene, and 1,3,5-trimethylbenzene, respectively. Notably, the yields of bicyclic nitrates produced from the reactions of bicyclic peroxy radicals (BPRs) with NO were considerably lower (3-5 times) than what the current mechanism predicted. Alongside traditional ring-opening products formed through the bicyclic pathway (dicarbonyls and furanones), we identified a significant proportion of carbonyl olefinic acids generated via the 1,5-aldehydic H-shift occurring in subsequent reactions of BPRs + NO, contributing 4-7% of the carbon flow in aromatic oxidation. Moreover, the observed NOx-dependencies of ring-opening and ring-retaining product yields provide insights into the competitive nature of reactions involving BPRs with NO, HO2, and RO2, which determine the refined product distributions and offer an explanation for the discrepancies between the experimental and model-based results.
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