Investigation of inflammation inducing substances in PM2.5 particles by an elimination method using thermal decomposition

被引:6
|
作者
He, Miao [1 ]
Ichinose, Takamichi [2 ]
Ito, Tomohiro [3 ]
Toriba, Akira [4 ]
Yoshida, Seiichi [2 ]
Kaori, Sadakane [2 ]
Nishikawa, Masataka [5 ]
Sun, Guifan [1 ]
Shibamoto, Takayuki [6 ]
机构
[1] China Med Univ, Sch Publ Hlth, Dept Environm Hlth, Key Lab Environm Hlth Damage Res & Assessment, 77 Puhe Rd, Shenyang 110122, Liaoning, Peoples R China
[2] Oita Univ Nursing & Hlth Sci, Dept Hlth Sci, Oita OITA 870120, Japan
[3] Natl Inst Environm Studies, Ctr Hlth & Environm Risk Res, Tsukuba, Ibaraki, Japan
[4] Kanazawa Univ, Grad Sch Nat Sci & Technol, Kanazawa, Ishikawa, Japan
[5] Natl Inst Environm Studies, Environm Chem Div, Tsukuba, Ibaraki, Japan
[6] Univ Calif Davis, Dept Environm Toxicol, Davis, CA 95616 USA
关键词
lung inflammation; metals; PAHQs; PM2; 5; thermal decomposition; POLYCYCLIC AROMATIC-HYDROCARBONS; OXIDATIVE STRESS; DEVELOPMENTAL TOXICITY; PARTICULATE MATTER; AIR-POLLUTION; URBAN PM2.5; FINE; EXPRESSION; LUNG; MACROPHAGES;
D O I
10.1002/tox.22816
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The substances associated with PM2.5-induced inflammatory response were investigated using an elimination method. PM2.5 were heated at temperatures of 120, 250, and 360 degrees C. The results demonstrated microbial substances such as LPS and b-glucan, and chemicals including BaP, 1,2-NQ, and 9,10-PQ were reduced drastically in PM2.5 heated at 120 degrees C. On the other hand, DBA, 7,12-BAQ, and BaP-1,6-Q were not noticeably reduced. Most of these substances had disappeared in PM2.5 heated at 250 degrees C and 360 degrees C. Metals (eg, Fe, Cu, Cr, Ni) in PM2.5 exhibited a slight thermo-dependent increase. RAW264.7 macrophages with or without NAC were exposed to unheated PM2.5, oxidative stress-related and unrelated inflammatory responses were induced. PM2.5-induced lung inflammation in mice is caused mainly by thermo-sensitive substances (LPS, b-glucan, BaP, 1,2-NQ, 9,10-PQ, etc.). Also, a slight involvement of thermo-resistant substances (DBA, 7,12-BAQ, BaP-1,6-Q, etc.) and transition metals was observed. The thermal decomposition method could assist to evaluate the PM2.5-induded lung inflammation.
引用
收藏
页码:1137 / 1148
页数:12
相关论文
共 50 条
  • [1] Characterization of the Key Material for Elimination of PM2.5 Particles in the Atmosphere
    Qiu, Bo
    Li, Qingshan
    Hong, Wei
    Xing, Guangzhong
    JOURNAL OF SPECTROSCOPY, 2015, 2015
  • [2] Prediction method of PM2.5 concentration based on decomposition and integration
    Yang, Hong
    Wang, Wenqian
    Li, Guohui
    MEASUREMENT, 2023, 216
  • [3] Investigation of fluorine content in PM2.5 airborne particles of Istanbul, Turkey
    Ozbek, Nil
    Baltaci, Hakki
    Baysal, Asli
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 23 (13) : 13169 - 13177
  • [4] Nasal inflammation and personal exposure to fine particles PM2.5 in asthmatic children
    Nikasinovic, Lydia
    Just, Jocelyne
    Sahraoui, Fatiha
    Seta, Nathalie
    Grimfeld, Alain
    Momas, Isabelle
    JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2006, 117 (06) : 1382 - 1388
  • [5] PM2.5 forecasting for an urban area based on deep learning and decomposition method
    Zaini, Nur'atiah
    Ean, Lee Woen
    Ahmed, Ali Najah
    Malek, Marlinda Abdul
    Chow, Ming Fai
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [6] PM2.5 forecasting for an urban area based on deep learning and decomposition method
    Nur’atiah Zaini
    Lee Woen Ean
    Ali Najah Ahmed
    Marlinda Abdul Malek
    Ming Fai Chow
    Scientific Reports, 12
  • [7] Assessment of PM2.5 Patterns in Malaysia Using the Clustering Method
    Ab Rahman, Ezahtulsyahreen
    Hamzah, Firdaus Mohamad
    Latif, Mohd Talib
    Dominick, Doreena
    AEROSOL AND AIR QUALITY RESEARCH, 2022, 22 (01)
  • [8] A method for particulate matter 2.5 (PM2.5) biotoxicity assay using luminescent bacterium
    Jing, Wenwen
    Liu, Qi
    Wang, Mingyi
    Zhang, Xinlian
    Chen, Jianmin
    Sui, Guodong
    Wang, Lin
    ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2019, 170 : 796 - 803
  • [9] Analysis of Global and Key PM2.5 Dynamic Mode Decomposition Based on the Koopman Method
    Yu, Yuhan
    Liu, Dantong
    Wang, Bin
    Zhang, Feng
    ATMOSPHERE, 2024, 15 (09)
  • [10] Investigation of PM2.5 and PM10 Dynamics in the Caribbean Basin Using a Multifractal Framework
    Plocoste, Thomas
    Pavon-Dominguez, Pablo
    Sankaran, Adarsh
    Euphrasie-Clotilde, Lovely
    WATER AIR AND SOIL POLLUTION, 2024, 235 (11):