The SDU-C Atmospheric Simulation Chamber for Multiphase Chemistry─An Initial Study on Methylglyoxal SOA

Abstract Atmospheric simulation chambers are controlled experimental platforms used for studying atmospheric processes under near-realistic conditions. Here, a new facility specifically designed for research on tropospheric multiphase chemistry is presented. After introducing the facility and its characteristics, the effects of initial methylglyoxal (MGLY) concentration, seed acidity, and relative humidity (RH) on secondary organic aerosol (SOA) formation from MGLY photooxidation in a coupled gas–particle system are examined. The Shandong University atmospheric simulation chamber (SDU-C), located on Qingdao Campus, China, is a fully computer-controlled, collapsible 18 m3 cylindrical chamber made of a 0.7 mm thick Teflon film, with a diameter of 3 m and a height of 2.4 m. Characterization experiments determined the SDU-C light intensity and wall-loss rates of NO2, NO, O3, and seed particles. The NO2 photolysis frequency, J(NO2), was (4.5 ± 0.02) ×10–4·s–1, while the wall-loss rates for NO, NO2, O3, and seed particles were (1.6 ± 0.1) ×10–6·s–1, (6.6 ± 1.4) ×10–6·s–1, (4.2 ± 0.7) ×10–6·s–1, and (4.4 ± 0.4) ×10–5·s–1, respectively. As its first application, a series of MGLY photooxidation experiments were conducted with gas-phase oxidation initiated by OH radicals. Results showed that the initial MGLY uptake and photooxidation-driven SOA formation increased with higher initial MGLY concentration [MGLY]0, seed acidity, and RH. At 11% RH with neutral seeds, particle mass increased from 0.4 to 26.9 and 31.4 μg·m–3 as the initial MGLY concentration increased from 72 to 144 and 216 ppb, respectively. After ultraviolet A (UVA) irradiation, SOA mass reached 43.2 μg·m–3 for super acidic seeds at 50% RH and 216 ppb MGLY. Most particle-phase MGLY exists as oligomers (>95%), with higher [MGLY]0 and RH, while strong acidity raises monomer levels. Overall, the characterization findings and first application indicate that SDU-C offers a reliable experimental platform for exploring atmospheric multiphase chemistry, gas–particle partitioning, and SOA formation under controlled conditions.

Authors

Institutions

Publication Details

Journal
ACS Earth and Space Chemistry
Published
2026-09-15
DOI
https://doi.org/10.1021/acsearthspacechem.6c00209
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

The SDU-C Atmospheric Simulation Chamber for Multiphase Chemistry─An Initial Study on Methylglyoxal SOA

Hartmut Herrmann, Majda Mekić, Lin Du, Yang Zeng et al.
ACS Earth and Space Chemistry
Atmospheric chemistry and aerosols
article

The SDU-C Atmospheric Simulation Chamber for Multiphase Chemistry─An Initial Study on Methylglyoxal SOA

Hartmut Herrmann, Majda Mekić, Lin Du, Yang Zeng, Yimu Zhang, Lin He, Min Song, Thomas Schaefer, Likun Xue, Abdelwahid Mellouki, Jianmin Chen, Shuguang Wang, Hui Tian, Jinhe Wang, Xiaomin Sun, Mujahid Ali, C. George, Yanhao Wei, Liang Wen
article en

Abstract

Abstract Atmospheric simulation chambers are controlled experimental platforms used for studying atmospheric processes under near-realistic conditions. Here, a new facility specifically designed for research on tropospheric multiphase chemistry is presented. After introducing the facility and its characteristics, the effects of initial methylglyoxal (MGLY) concentration, seed acidity, and relative humidity (RH) on secondary organic aerosol (SOA) formation from MGLY photooxidation in a coupled gas–particle system are examined. The Shandong University atmospheric simulation chamber (SDU-C), located on Qingdao Campus, China, is a fully computer-controlled, collapsible 18 m3 cylindrical chamber made of a 0.7 mm thick Teflon film, with a diameter of 3 m and a height of 2.4 m. Characterization experiments determined the SDU-C light intensity and wall-loss rates of NO2, NO, O3, and seed particles. The NO2 photolysis frequency, J(NO2), was (4.5 ± 0.02) ×10–4·s–1, while the wall-loss rates for NO, NO2, O3, and seed particles were (1.6 ± 0.1) ×10–6·s–1, (6.6 ± 1.4) ×10–6·s–1, (4.2 ± 0.7) ×10–6·s–1, and (4.4 ± 0.4) ×10–5·s–1, respectively. As its first application, a series of MGLY photooxidation experiments were conducted with gas-phase oxidation initiated by OH radicals. Results showed that the initial MGLY uptake and photooxidation-driven SOA formation increased with higher initial MGLY concentration [MGLY]0, seed acidity, and RH. At 11% RH with neutral seeds, particle mass increased from 0.4 to 26.9 and 31.4 μg·m–3 as the initial MGLY concentration increased from 72 to 144 and 216 ppb, respectively. After ultraviolet A (UVA) irradiation, SOA mass reached 43.2 μg·m–3 for super acidic seeds at 50% RH and 216 ppb MGLY. Most particle-phase MGLY exists as oligomers (>95%), with higher [MGLY]0 and RH, while strong acidity raises monomer levels. Overall, the characterization findings and first application indicate that SDU-C offers a reliable experimental platform for exploring atmospheric multiphase chemistry, gas–particle partitioning, and SOA formation under controlled conditions.

ACS Earth and Space Chemistry
Shandong University (CN), Fudan University (CN), Weichai Power (China) (CN), Leibniz Institute for Tropospheric Research (DE), Shandong Police College (CN), Université Mohammed VI Polytechnique (MA), CTI Engineering (Japan) (JP), Institut de Recherches sur la Catalyse et l'Environnement de Lyon (FR), Chinese Research Academy of Environmental Sciences (CN), Shandong Jianzhu University (CN)
Openalex Percentile: Top 15%
Atmospheric chemistry and aerosols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.