Low Hygroscopicity of Newly Formed Particles on the North China Plain and Its Implications for Nanoparticle Growth DOI Creative Commons
Juan Hong,

Jiamin Ma,

Nan Ma

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(14)

Published: July 16, 2024

Abstract The growth of newly formed particles through new particle formation (NPF) contributes a significant fraction to the cloud condensation nuclei, yet driving mechanisms remain unclear, especially for polluted environments. To investigate potential species contributing nanoparticle in environments with anthropogenic influences, we measured hygroscopicity at 20–40 nm rural observational site North China Plain during winter 2018. Our results demonstrate that these were not very hygroscopic, mean parameter κ 0.13 ± 0.09. Clear differences inferred growing material responsible observed among different events, indicating even same region, compounds may be identical. This synergistically influenced by NPF precursors, oxidants and meteorological conditions, suggesting complex might co‐exist behind

Language: Английский

Exploring condensable organic vapors and their co-occurrence with PM2.5and O3in winter in Eastern China DOI Creative Commons
Yuliang Liu, Chun‐Feng Liu, Wei Nie

et al.

Environmental Science Atmospheres, Journal Year: 2023, Volume and Issue: 3(2), P. 282 - 297

Published: Jan. 1, 2023

The strongest formation of oxygenated organic molecules occurs when PM 2.5 and O 3 are co-enhanced.

Language: Английский

Citations

8

High contribution of new particle formation to ultrafine particles in four seasons in an urban atmosphere in south China DOI
Tao Li, Zhen Zhou, Jun Tao

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 889, P. 164202 - 164202

Published: May 18, 2023

Language: Английский

Citations

7

A kinetic partitioning method for simulating the condensation mass flux of organic vapors in a wide volatility range DOI
Yuyang Li, Runlong Cai, Rujing Yin

et al.

Journal of Aerosol Science, Journal Year: 2024, Volume and Issue: 180, P. 106400 - 106400

Published: May 18, 2024

Language: Английский

Citations

2

Seasonal variations in composition and sources of atmospheric ultrafine particles in urban Beijing based on near-continuous measurements DOI Creative Commons
Xiaoxiao Li, Yijing Chen, Yuyang Li

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(23), P. 14801 - 14812

Published: Dec. 1, 2023

Abstract. Understanding the composition and sources of atmospheric ultrafine particles (UFPs) is essential in evaluating their exposure risks. It requires long-term measurements with high time resolution, which are scarce to date. We performed near-continuous UFP during four seasons urban Beijing using a thermal desorption chemical ionization mass spectrometer, accompanied by real-time size distribution measurements. found that UFPs dominated organic components, varying seasonally from 68 % 81 %. CHO organics (i.e., molecules containing carbon, hydrogen, oxygen) most abundant summer, while sulfur-containing organics, some nitrogen-containing nitrate, chloride winter. With increase particle diameter, contribution decreases, increases. Source apportionment analysis indicates contributions cooking vehicle sources, photooxidation enriched aqueous/heterogeneous nitrogen- organics. The increased cooking, vehicle, components usually simultaneous increases number concentrations related emission, new formation, respectively, growth mode diameters. highest winter due strongest local primary emissions, slowest condensational larger sizes. This study provides comprehensive understanding offers valuable datasets for evaluation

Language: Английский

Citations

6

Lead exposure promotes the inflammation via the circRNA-05280/miR-146a/IRAK1 axis in mammary gland DOI Creative Commons
Zhi Chen, Qinyue Lu, Xiang Cao

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2022, Volume and Issue: 247, P. 114204 - 114204

Published: Oct. 20, 2022

Lead, the most widely used heavy metal in industry, is detrimental to human health if exposed living and occupational environment. Although several studies have been conducted on lead exposure, little has reported its harm mammary gland mechanisms. In view of this, our study first verify that exposure could promote apoptosis inflammation mouse tissue (in vivo) cow epithelial cells vitro). After establishing a model, expression profile was constructed by high-throughput sequencing technology. profile, 917 differentially expressed genes were screened, which IRAK1 up-regulated 4.33 times. Then, from qRT-PCR, Western blot Luciferase report, found release inflammatory factors be specific target miR-146a. On other hand, double luciferase reporter system qRT-PCR predicted existence binding site between circRNA-05280 miR-146a sequence. Experiments such as immunohistochemistry, EdU demonstrated not only cell but also level genes. Nevertheless, function opposite circRNA-05280. Specifically, can regulate releasing gene IRAK1. This concludes circRNA-05280/ miR-146a/ signaling pathway mediate damage resulting exposure. Accordingly, it sheds new light further exploration molecular mechanisms caused risk assessment lead, mechanism toxicity.

Language: Английский

Citations

8

Comprehensive simulations of new particle formation events in Beijing with a cluster dynamics–multicomponent sectional model DOI Creative Commons
Chenxi Li, Yuyang Li, Xiaoxiao Li

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(12), P. 6879 - 6896

Published: June 21, 2023

Abstract. New particle formation (NPF) and growth are a major source of atmospheric fine particles. In polluted urban environments, NPF events frequently observed with characteristics distinct from those in clean environments. Here we simulate Beijing discrete-sectional model that couples cluster dynamics multicomponent growth. the model, new particles formed by sulfuric acid–dimethylamine nucleation, while is driven coagulation condensation acid, its clusters, oxygenated organic molecules (OOMs). A variable simulation domain size space applied to isolate newly preexisting ones, which allows us focus on rather than evolution non-NPF origin. The yields rich set information including time-dependent rates, concentrations, distributions, time- size-specific chemical compositions. These can be compared field observations comprehensively assess simulation–observation agreement. Sensitivity analysis further quantifies how metrics (e.g., survival probability) respond input variations serves as diagnostic tool pinpoint key parameter leads discrepancies. Seven typical were analyzed. We found gaseous precursor concentrations sink inputs, simulations roughly captured distributions; however, simulated rate was insufficient yield number probability, mode diameter. With aid sensitivity analysis, identified under-detected OOMs likely cause for discrepancy, agreement between observation improved after modulated rates adjusting abundance OOMs.

Language: Английский

Citations

4

Online detection of airborne nanoparticle composition with mass spectrometry: Recent advances, challenges, and opportunities DOI Creative Commons
Xiaoxiao Li, Runlong Cai, Jiming Hao

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 166, P. 117195 - 117195

Published: July 17, 2023

Language: Английский

Citations

4

Resolving Atmospheric Oxygenated Organic Molecules in Urban Beijing Using Online Ultrahigh-Resolution Chemical Ionization Mass Spectrometry DOI
Yi Yuan, Xin Chen, Runlong Cai

et al.

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 27, 2024

Gaseous oxygenated organic molecules (OOMs) are crucial precursors of atmospheric aerosols. OOMs in urban atmospheres have complex compositions, posing challenges to understanding their formation, evolution, and influences. In this study, we identify 2403 gaseous Beijing using online nitrate-based chemical ionization Orbitrap mass spectrometry based on one-year measurements. We find that can be identified with higher accuracy wider coverage, compared previously used spectrometry. With optimized OOM resolving capabilities, previous knowledge expanded. First, clear homologous oxygen-addition characteristics the revealed. Second, lower concentrations or masses characterized high confidence, e.g., above 350 Da. particular, dimers (e.g., C

Language: Английский

Citations

1

Review of online measurement techniques for chemical composition of atmospheric clusters and sub-20 nm particles DOI Creative Commons
Kewei Zhang,

Zhengning Xu,

Jian Gao

et al.

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: Sept. 9, 2022

The chemical composition of aerosol particles is crucial to understanding their formation and evolution in the atmosphere. However, very limited information available for ultrafine particles, particularly nanoclusters newly formed due lack valid analytical methods. This work reviews online measurement techniques characterizing atmospheric clusters sub-20 nm particles. commonly used instrumentations are divided into two categories: direct based on mass spectrometry indirect mainly relying physical properties (e.g., hygroscopicity volatility). advantages these compared limitations lab field application summarized. combination discussed, this may provide more comprehensive We propose that developing needed improve collection efficiency techniques, or resolution techniques. Future development should focus obtaining simultaneous measurements particle properties, which can be helpful improving accuracy modeling evolution.

Language: Английский

Citations

5

Precursor apportionment of atmospheric oxygenated organic molecules using a machine learning method DOI Creative Commons
Xiaohui Qiao, Xiaoxiao Li, Chao Yan

et al.

Environmental Science Atmospheres, Journal Year: 2022, Volume and Issue: 3(1), P. 230 - 237

Published: Dec. 3, 2022

Machine learning is a promising tool in atmospheric chemistry to connect oxygenated organic molecules with their precursors.

Language: Английский

Citations

5