Dynamic landscape of multi-elements in PM2.5 revealed by real-time analysis
文献类型：期刊论文
| 作者 | Ji, Xiaomeng; Qin, Ruiliang; Shi, Chunzhen; Yang, Lin ; Yao, Linlin; Deng, Shenxi; Qu, Guangbo; Yin, Yongguang; Hu, Ligang; Shi, Jianbo
|
| 刊名 | ENVIRONMENT INTERNATIONAL
 |
| 出版日期 | 2022 |
| 卷号 | 170页码:107607-1-7 |
| 关键词 | Fine particulate matter Metal Real-time Quantification |
| ISSN号 | 0160-4120 |
| 英文摘要 | Metal components in fine particulate matter (PM2.5) are closely associated with many adverse health outcomes. Dynamic changes of metals in PM2.5 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 PM2.5 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 PM2.5 for 12 h over 33 days were measured at different air qualities. Temporal variations of crustal elements like Fe, Mg are similar to PM2.5, 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 PM2.5 is beneficial for atmospheric monitoring and provides critical insights into the different exposure risks of metals in PM2.5 at varying times. |
| 源URL | [https://ir.rcees.ac.cn/handle/311016/48485]  |
| 专题 | 生态环境研究中心_环境化学与生态毒理学国家重点实验室 |
| 作者单位 | 1.Chinese Academy of Sciences 2.Beijing Technology & Business University 3.China University of Geosciences 4.Shandong University 5.Research Center for Eco-Environmental Sciences (RCEES) 6.University of Chinese Academy of Sciences, CAS |
| 推荐引用方式 GB/T 7714 | Ji, Xiaomeng,Qin, Ruiliang,Shi, Chunzhen,et al. Dynamic landscape of multi-elements in PM2.5 revealed by real-time analysis[J]. ENVIRONMENT INTERNATIONAL,2022,170:107607-1-7. |
| APA | Ji, Xiaomeng.,Qin, Ruiliang.,Shi, Chunzhen.,Yang, Lin.,Yao, Linlin.,...&Jiang, Guibin.(2022).Dynamic landscape of multi-elements in PM2.5 revealed by real-time analysis.ENVIRONMENT INTERNATIONAL,170,107607-1-7. |
| MLA | Ji, Xiaomeng,et al."Dynamic landscape of multi-elements in PM2.5 revealed by real-time analysis".ENVIRONMENT INTERNATIONAL 170(2022):107607-1-7. |
入库方式： OAI收割
来源：生态环境研究中心
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