Work

Insights from an Integrated LC–MS/MS and Machine Learning Analysis into the Role of Long-Chain CHO-Containing Compounds in Ambient Light-Absorbing Aerosols

Year: 2024

Type: article

Source: Environmental Science & Technology Letters

DOI: 10.1021/acs.estlett.4c00978

Authors: Kunsen Lin, Wei Zhang, Boyue Jia, Bailiang Liu, Lidia Morawska, Lina Wang, Jianmin Chen

Institutions: Fudan University, Queensland University of Technology, Shanghai Institute of Pollution Control and Ecological Security

Language: English

Topic: Atmospheric chemistry and aerosols

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, Science and Technology Innovation Plan Of Shanghai Science and Technology Commission

Awards: 大气棕色碳老化过程及对气溶胶表面张力的影响机制研究, G3183175206, G442576982

OpenAlex ID: W4405886072

FWCI: 1.144

Cites: 44

Cited by: 6

Related to: 10