Dynamic landscape of multi-elements in PM2.5 revealed by real-time analysis

Xiaomeng Ji; Ruiliang Qin; Chunzhen Shi; Lin Yang; Linlin Yao; Shenxi Deng; Guangbo Qu; Yongguang Yin; Ligang Hu; Jianbo Shi; Guibin Jiang

doi:10.1016/j.envint.2022.107607

Dynamic landscape of multi-elements in PM_2.5 revealed by real-time analysis

Environ Int. 2022 Dec:170:107607. doi: 10.1016/j.envint.2022.107607. Epub 2022 Oct 28.

Authors

Xiaomeng Ji¹, Ruiliang Qin², Chunzhen Shi³, Lin Yang⁴, Linlin Yao⁴, Shenxi Deng⁴, Guangbo Qu⁵, Yongguang Yin⁵, Ligang Hu⁵, Jianbo Shi⁶, Guibin Jiang⁵

Affiliations

¹ State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Shandong Key Laboratory of Environmental Processes and Health, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China.
² State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China.
³ State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Ecology and Environment, Beijing Technology and Business University, Beijing 100048, China.
⁴ State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
⁵ State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China.
⁶ State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China; State Environmental Protection Key Laboratory of Source Apportionment and Control of Aquatic Pollution, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China. Electronic address: jbshi@rcees.ac.cn.

PMID: 36332492
DOI: 10.1016/j.envint.2022.107607

Abstract

Metal components in fine particulate matter (PM_2.5) are closely associated with many adverse health outcomes. Dynamic changes of metals in PM_2.5 are critical for risk assessment due to their temporal variations. Herein, an online method for real-time determination of multi-elements (As, Cd, Cs, Cu, Fe, Mg, Mn, Pb, Rb, Sn, Tl, and V) in PM_2.5 was established by directly introducing air samples into inductively coupled plasma mass spectrometry (ICPMS). Meanwhile, a quantified method using metal standard aerosols (Cr, Mo, and W) and high time resolution for 3.3 min online measurement was developed and validated. The limits of detection were in the range of 0.001-6.30 ng/m³ for different metals. Subsequently, the real-time contents of multi-elements in PM_2.5 for 12 h over 33 days were measured at different air qualities. Temporal variations of crustal elements like Fe, Mg are similar to PM_2.5, whereas toxic elements (Pb, As and Cd) have upward trends at dusk. This denoted the association with various emission sources and different exposure concentrations of metals. In addition to the acquisition of real-time information, online analysis of multi-elements in PM_2.5 is beneficial for atmospheric monitoring and provides critical insights into the different exposure risks of metals in PM_2.5 at varying times.

Keywords: Fine particulate matter; Metal; Quantification; Real-time.

MeSH terms

Cadmium*

Substances

Cadmium