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Proteinaceous matter is an important component of PM, which can cause adverse health effects and also influence the air quality and climate change. However, there is little attention to high time-resolved variations and potential role of aerosol proteins during haze pollution periods. In this study, PM samples were first collected by a medium flow sampler in autumn and winter in Xi'an, China. Then three high time-resolved monitoring campaigns during haze pollution periods were conducted to determine the evolving characteristics of total protein concentration and explore the interactive relationship between protein and other chemical compositions. The results showed that the average protein concentration in PM in Xi'an (5.46 ± 3.32 μg m) was higher than those in most cities of China, and varied by seasons and air pollution conditions. In particular, the protein concentration in PM increased with the increase of air quality index (AQI). The continuous variations of aerosol proteins during the haze pollution periods further showed that PM, atmospheric humidity and long-distance air mass transport exerted the significant impacts on the protein components in aerosols. Based on the present observation, it is suggested that aerosol proteins might affect the generation of secondary aerosols under haze weather conditions. The present results may provide a new possible insight into the variations and the role of aerosol proteinaceous matter during the formation and development of haze pollution.
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http://dx.doi.org/10.1016/j.envpol.2022.119212 | DOI Listing |
Sci Rep
September 2025
College of Science, Jiangxi University of Water Resources and Electric Power, 330099, Nanchang, China.
With the acceleration of urbanization in China, haze pollution has become a problem that cannot be ignored. PM is one of the main components of haze, and this paper aims to find a stable and accurate prediction method for PM prediction. Combined with existing studies, BP neural network is commonly used for prediction and optimization, but its accuracy is not satisfactory due to the randomness of the initial parameters of BP neural network.
View Article and Find Full Text PDFEnviron Res
August 2025
School of Environment, State Key Laboratory of Regional Environment and Sustainability, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, 100084, China. Ele
Organic aerosol (OA) in atmospheric fine particulate matter (PM) has significant impacts on human health, the atmospheric environment, and climate change. Light-absorbing OA, referred to as brown carbon (BrC), is non-negligible during atmospheric processes. However, seasonal and day-night variations, as well as the identification of key driving factors for the dynamic changes in BrC optical properties during continuous haze episodes, remain inadequately understood.
View Article and Find Full Text PDFEnviron Sci Technol
August 2025
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR 999077, China.
Reactive chlorine species can significantly influence the formation of secondary air pollutants. Due to limited observational data, their contribution to haze formation in cold environments remains poorly constrained. In this study, we conducted field measurements of reactive chlorine species in snowy Northeast China, a region frequently affected by wintertime haze events.
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August 2025
Department of Chemistry, Aarhus University, Aarhus, Denmark.
In the past decades, China has witnessed high air pollution associated with rapid economic development, although regulatory efforts have alleviated the situation since 2013. Haze events characterized by high particulate matter (PM) levels in China are not only of enormous magnitude but also represent a distinct chemical regime. Once driven by direct emissions, these high-PM episodes are now more affected by secondary aerosol, especially secondary organic aerosol (SOA).
View Article and Find Full Text PDFToxics
August 2025
College of Environment and Climate, Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for Online Source Apportionment System of Air Pollution, Jinan University, Guangzhou 510632, China.
In this study, typical haze pollution influenced by biomass burning (BB) activities in Changsha in the autumn of 2024 was investigated through the mixing state and evolution process of BB particles via the real-time measurement of single-particle aerosol mass spectrometry (SPAMS). From the clean period to the haze period, the PM concentration increased from 25 μg·m at 12:00 to 273 μg·m at 21:00 on 12 October, and the proportion of total BB single particles in the total detected particles increased from 17.2% to 54%.
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