TY - JOUR
T1 - Insights the dominant contribution of biomass burning to methanol-soluble PM2.5 bounded oxidation potential based on multilayer perceptron neural network analysis in Xi'an, China
AU - Luo, Yu
AU - Yang, Xueting
AU - Wang, Diwei
AU - Xu, Hongmei
AU - Zhang, Hongai
AU - Huang, Shasha
AU - Wang, Qiyuan
AU - Zhang, Ningning
AU - Cao, Junji
AU - Shen, Zhenxing
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2024/1/15
Y1 - 2024/1/15
N2 - Atmospheric fine particulate matter (PM2.5) is associated with cardiorespiratory morbidity and mortality due to its ability to generate reactive oxygen species (ROS). Ambient PM2.5 samples were collected during heating and nonheating seasons in Xi'an, China, and the ROS-generation potential of PM2.5 was quantified using the dithiothreitol (DTT) assay. Additionally, positive matrix factorization combined with multilayer perceptron was employed to apportion sources contributing to the oxidation potential of PM2.5. Both the mass concentration of PM2.5 and the volume-based DTT activity (DTTv) were higher during the heating season than during the nonheating season. The primary contributors to DTTv were combustion (biomass and coal) sources during the heating season (>52 %), whereas secondary formation dominated DTT activity during the nonheating season (35.7 %). In addition, the secondary reaction process promoted the generation of intrinsic oxidation potential (OP) of sources. Among all the sources investigated (traffic source, industrial emission, mineral dust, biomass burning, secondary formation and coal combustion), the inherent oxidation potential of biomass burning was the highest, whereas that of mineral dust was the lowest. Our study indicates that anthropogenic sources, especially biomass burning, should be prioritized in PM2.5 toxicity control strategies.
AB - Atmospheric fine particulate matter (PM2.5) is associated with cardiorespiratory morbidity and mortality due to its ability to generate reactive oxygen species (ROS). Ambient PM2.5 samples were collected during heating and nonheating seasons in Xi'an, China, and the ROS-generation potential of PM2.5 was quantified using the dithiothreitol (DTT) assay. Additionally, positive matrix factorization combined with multilayer perceptron was employed to apportion sources contributing to the oxidation potential of PM2.5. Both the mass concentration of PM2.5 and the volume-based DTT activity (DTTv) were higher during the heating season than during the nonheating season. The primary contributors to DTTv were combustion (biomass and coal) sources during the heating season (>52 %), whereas secondary formation dominated DTT activity during the nonheating season (35.7 %). In addition, the secondary reaction process promoted the generation of intrinsic oxidation potential (OP) of sources. Among all the sources investigated (traffic source, industrial emission, mineral dust, biomass burning, secondary formation and coal combustion), the inherent oxidation potential of biomass burning was the highest, whereas that of mineral dust was the lowest. Our study indicates that anthropogenic sources, especially biomass burning, should be prioritized in PM2.5 toxicity control strategies.
KW - Artificial neural network
KW - Atmospheric particulate matter
KW - Dithiothreitol assay
KW - Multilayer perceptron
KW - Reactive oxygen species
KW - Source apportionment
UR - https://www.scopus.com/pages/publications/85175794912
U2 - 10.1016/j.scitotenv.2023.168273
DO - 10.1016/j.scitotenv.2023.168273
M3 - 文章
C2 - 37918731
AN - SCOPUS:85175794912
SN - 0048-9697
VL - 908
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 168273
ER -