1
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Schneider E, Czech H, Hartikainen A, Hansen HJ, Gawlitta N, Ihalainen M, Yli-Pirilä P, Somero M, Kortelainen M, Louhisalmi J, Orasche J, Fang Z, Rudich Y, Sippula O, Rüger CP, Zimmermann R. Molecular composition of fresh and aged aerosols from residential wood combustion and gasoline car with modern emission mitigation technology. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:1295-1309. [PMID: 38832458 DOI: 10.1039/d4em00106k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Emissions from road traffic and residential heating contribute to urban air pollution. Advances in emission reduction technologies may alter the composition of emissions and affect their fate during atmospheric processing. Here, emissions of a gasoline car and a wood stove, both equipped with modern emission mitigation technology, were photochemically aged in an oxidation flow reactor to the equivalent of one to five days of photochemical aging. Fresh and aged exhausts were analyzed by ultrahigh resolution mass spectrometry. The gasoline car equipped with a three-way catalyst and a gasoline particle filter emitted minor primary fine particulate matter (PM2.5), but aging led to formation of particulate low-volatile, oxygenated and highly nitrogen-containing compounds, formed from volatile organic compounds (VOCs) and gases incl. NOx, SO2, and NH3. Reduction of the particle concentration was also observed for the application of an electrostatic precipitator with residential wood combustion but with no significant effect on the chemical composition of PM2.5. Comparing the effect of short and medium photochemical exposures on PM2.5 of both emission sources indicates a similar trend for formation of new organic compounds with increased carbon oxidation state and nitrogen content. The overall bulk compositions of the studied emission exhausts became more similar by aging, with many newly formed elemental compositions being shared. However, the presence of particulate matter in wood combustion results in differences in the molecular properties of secondary particles, as some compounds were preserved during aging.
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Affiliation(s)
- Eric Schneider
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Department Life, Light & Matter (LL&M), University of Rostock, Rostock, Germany
| | - Hendryk Czech
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
| | - Anni Hartikainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Helly J Hansen
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
| | - Nadine Gawlitta
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
| | - Mika Ihalainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Pasi Yli-Pirilä
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Markus Somero
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Miika Kortelainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Juho Louhisalmi
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jürgen Orasche
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
| | - Zheng Fang
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Yinon Rudich
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Olli Sippula
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Chemistry, University of Eastern Finland, Joensuu, Finland
| | - Christopher P Rüger
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Department Life, Light & Matter (LL&M), University of Rostock, Rostock, Germany
| | - Ralf Zimmermann
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Department Life, Light & Matter (LL&M), University of Rostock, Rostock, Germany
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
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2
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Jiang Z, He C, Gao F, Shi Q, Chen Y, Yu H, Zhou Z, Wang R. Molecular characteristics of organic matter derived from sulfonated biochar. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024. [PMID: 39132952 DOI: 10.1039/d4em00233d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Sulfonated biochar (SBC), as a functional carbon-based material, has attracted widespread attention due to its excellent adsorption properties. The composition of biochar-derived organic matter (B-DOM) is a key factor influencing the migration and transformation of soil elements and pollutants. However, molecular characteristics of sulfonated biochar-derived organic matter (SBC-DOM) are still unclear. In this study, the molecular composition of derived organic matter (DOM) from SBC prepared via one-step carbonization-sulfonation techniques was investigated by Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and then compared with those of DOMs from rice husk (RH), pyrochar (PYC), and hydrochar (HYC). The results show that the CHOS- and CHONS-containing formulae are predominant in SBC-DOM, accounting for 85% of the total molecular formula number, while DOMs from RH, PYC, and HYC are dominated by CHO-containing formulae. Compared to PYC-DOM and HYC-DOM, SBC-DOM has more unsaturated aliphatic compounds, which make it more labile and easily biodegraded. Additionally, SBC-DOM has higher O/C, (N + O)/C ratios and sulfur-containing compounds. These findings provide a theoretical basis for further research on the application of sulfonated biochar in soil improvement and remediation.
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Affiliation(s)
- Zhengfeng Jiang
- Petrochemical Research Institute, PetroChina Company Limited, Beijing 100195, China
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.
- National Elite Institute of Engineering, CNPC, Beijing 100096, China
| | - Chen He
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.
| | - Fei Gao
- Petrochemical Research Institute, PetroChina Company Limited, Beijing 100195, China
| | - Quan Shi
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.
| | - Yang Chen
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Haimeng Yu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, China.
| | - Zhimao Zhou
- CAS Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, PR China
| | - Ruoxin Wang
- Petrochemical Research Institute, PetroChina Company Limited, Beijing 100195, China
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3
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Xie Q, Halpern ER, Zhang J, Shrivastava M, Zelenyuk A, Zaveri RA, Laskin A. Volatility Basis Set Distributions and Viscosity of Organic Aerosol Mixtures: Insights from Chemical Characterization Using Temperature-Programmed Desorption-Direct Analysis in Real-Time High-Resolution Mass Spectrometry. Anal Chem 2024; 96:9524-9534. [PMID: 38815054 DOI: 10.1021/acs.analchem.4c01003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Quantitative assessment of gas-particle partitioning of individual components within complex atmospheric organic aerosol (OA) mixtures is critical for predicting and comprehending the formation and evolution of OA particles in the atmosphere. This investigation leverages previously documented data obtained through a temperature-programmed desorption-direct analysis in real-time, high-resolution mass spectrometry (TPD-DART-HRMS) platform. This methodology facilitates the bottom-up construction of volatility basis set (VBS) distributions for constituents found in three biogenic secondary organic aerosol (SOA) mixtures produced through the ozonolysis of α-pinene, limonene, and ocimene. The apparent enthalpies (ΔH*, kJ mol-1) and saturation mass concentrations (CT*, μg·m-3) of individual SOA components, determined as a function of temperature (T, K), facilitated an assessment of changes in VBS distributions and gas-particle partitioning with respect to T and atmospheric total organic mass loadings (tOM, μg·m-3). The VBS distributions reveal distinct differences in volatilities among monomers, dimers, and trimers, categorized into separate volatility bins. At the ambient temperature of T = 298 K, only monomers efficiently partition between gas and particle phases across a broad range of atmospherically relevant tOM values of 1-100 μg·m-3. Partitioning of dimers and trimers becomes notable only at T > 360 K and T > 420 K, respectively. The viscosity of SOA mixtures is assessed using a bottom-up calculation approach, incorporating the input of elemental formulas, ΔH*, CT*, and particle-phase mass fractions of the SOA components. Through this approach, we are able to accurately estimate the variations in SOA viscosity that result from the evaporation of its components. These variations are, in turn, influenced by atmospherically relevant changes in tOM and T. Comparison of the calculated SOA viscosity and diffusivity values with literature reported experimental results shows close agreement, thereby validating the employed calculation approach. These findings underscore the significant potential for TPD-DART-HRMS measurements in enabling the untargeted analysis of organic molecules within OA mixtures. This approach facilitates quantitative assessment of their gas-particle partitioning and allows for the estimation of their viscosity and condensed-phase diffusion, thereby contributing valuable insights to atmospheric models.
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Affiliation(s)
- Qiaorong Xie
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Emily R Halpern
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
| | - Jie Zhang
- Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Manish Shrivastava
- Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Alla Zelenyuk
- Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Rahul A Zaveri
- Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Alexander Laskin
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States
- Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana 47907, United States
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4
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Yin D, Zhao B, Wang S, Donahue NM, Feng B, Chang X, Chen Q, Cheng X, Liu T, Chan CK, Schervish M, Li Z, He Y, Hao J. Fostering a Holistic Understanding of the Full Volatility Spectrum of Organic Compounds from Benzene Series Precursors through Mechanistic Modeling. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:8380-8392. [PMID: 38691504 DOI: 10.1021/acs.est.3c07128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
A comprehensive understanding of the full volatility spectrum of organic oxidation products from the benzene series precursors is important to quantify the air quality and climate effects of secondary organic aerosol (SOA) and new particle formation (NPF). However, current models fail to capture the full volatility spectrum due to the absence of important reaction pathways. Here, we develop a novel unified model framework, the integrated two-dimensional volatility basis set (I2D-VBS), to simulate the full volatility spectrum of products from benzene series precursors by simultaneously representing first-generational oxidation, multigenerational aging, autoxidation, dimerization, nitrate formation, etc. The model successfully reproduces the volatility and O/C distributions of oxygenated organic molecules (OOMs) as well as the concentrations and the O/C of SOA over wide-ranging experimental conditions. In typical urban environments, autoxidation and multigenerational oxidation are the two main pathways for the formation of OOMs and SOA with similar contributions, but autoxidation contributes more to low-volatility products. NOx can reduce about two-thirds of OOMs and SOA, and most of the extremely low-volatility products compared to clean conditions, by suppressing dimerization and autoxidation. The I2D-VBS facilitates a holistic understanding of full volatility product formation, which helps fill the large gap in the predictions of organic NPF, particle growth, and SOA formation.
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Affiliation(s)
- Dejia Yin
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Neil M Donahue
- Center for Atmospheric Particle Studies, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States
| | - Boyang Feng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Xing Chang
- Laboratory of Transport Pollution Control and Monitoring Technology, Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
| | - Qi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, BIC-ESAT and IJRC, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Xi Cheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, BIC-ESAT and IJRC, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tengyu Liu
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
| | - Chak K Chan
- Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia
| | - Meredith Schervish
- Center for Atmospheric Particle Studies, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States
- Department of Chemistry, University of California, Irvine, California 92697, United States
| | - Zeqi Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yicong He
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Jiming Hao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
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5
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Li Z, Zhao B, Yin D, Wang S, Qiao X, Jiang J, Li Y, Shen J, He Y, Chang X, Li X, Liu Y, Li Y, Liu C, Qi X, Chen L, Chi X, Jiang Y, Li Y, Wu J, Nie W, Ding A. Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:1223-1235. [PMID: 38117938 DOI: 10.1021/acs.est.3c06708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Nanoparticle growth influences atmospheric particles' climatic effects, and it is largely driven by low-volatility organic vapors. However, the magnitude and mechanism of organics' contribution to nanoparticle growth in polluted environments remain unclear because current observations and models cannot capture organics across full volatility ranges or track their formation chemistry. Here, we develop a mechanistic model that characterizes the full volatility spectrum of organic vapors and their contributions to nanoparticle growth by coupling advanced organic oxidation modeling and kinetic gas-particle partitioning. The model is applied to Nanjing, a typical polluted city, and it effectively captures the volatility distribution of low-volatility organics (with saturation vapor concentrations <0.3 μg/m3), thus accurately reproducing growth rates (GRs), with a 4.91% normalized mean bias. Simulations indicate that as particles grow from 4 to 40 nm, the relative fractions of GRs attributable to organics increase from 59 to 86%, with the remaining contribution from H2SO4 and its clusters. Aromatics contribute much to condensable organic vapors (∼37%), especially low-volatility vapors (∼61%), thus contributing the most to GRs (32-46%) as 4-40 nm particles grow. Alkanes also contribute 19-35% of GRs, while biogenic volatile organic compounds contribute minimally (<13%). Our model helps assess the climatic impacts of particles and predict future changes.
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Affiliation(s)
- Zeqi Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Dejia Yin
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Xiaohui Qiao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jingkun Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Yiran Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jiewen Shen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yicong He
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Xing Chang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
- Laboratory of Transport Pollution Control and Monitoring Technology, Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
| | - Xiaoxiao Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Yuliang Liu
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
- Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing 210093, China
| | - Yuanyuan Li
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
| | - Chong Liu
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
| | - Ximeng Qi
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
- Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing 210093, China
| | - Liangduo Chen
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing 210093, China
| | - Xuguang Chi
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
- Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing 210093, China
| | - Yueqi Jiang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yuyang Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Jin Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Wei Nie
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
- Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing 210093, China
| | - Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Research, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
- National Observation and Research Station for Atmospheric Processes and Environmental Change in Yangtze River Delta, Nanjing 210023, Jiangsu Province, China
- Jiangsu Provincial Collaborative Innovation Center for Climate Change, Nanjing University, Nanjing 210093, China
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Sasidharan S, He Y, Akherati A, Li Q, Li W, Cocker D, McDonald BC, Coggon MM, Seltzer KM, Pye HOT, Pierce JR, Jathar SH. Secondary Organic Aerosol Formation from Volatile Chemical Product Emissions: Model Parameters and Contributions to Anthropogenic Aerosol. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:11891-11902. [PMID: 37527511 DOI: 10.1021/acs.est.3c00683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Volatile chemical products (VCP) are an increasingly important source of hydrocarbon and oxygenated volatile organic compound (OVOC) emissions to the atmosphere, and these emissions are likely to play an important role as anthropogenic precursors for secondary organic aerosol (SOA). While the SOA from VCP hydrocarbons is often accounted for in models, the formation, evolution, and properties of SOA from VCP OVOCs remain uncertain. We use environmental chamber data and a kinetic model to develop SOA parameters for 10 OVOCs representing glycols, glycol ethers, esters, oxygenated aromatics, and amines. Model simulations suggest that the SOA mass yields for these OVOCs are of the same magnitude as widely studied SOA precursors (e.g., long-chain alkanes, monoterpenes, and single-ring aromatics), and these yields exhibit a linear correlation with the carbon number of the precursor. When combined with emissions inventories for two megacities in the United States (US) and a US-wide inventory, we find that VCP VOCs react with OH to form 0.8-2.5× as much SOA, by mass, as mobile sources. Hydrocarbons (terpenes, branched and cyclic alkanes) and OVOCs (terpenoids, glycols, glycol ethers) make up 60-75 and 25-40% of the SOA arising from VCP use, respectively. This work contributes to the growing body of knowledge focused on studying VCP VOC contributions to urban air pollution.
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Affiliation(s)
- Sreejith Sasidharan
- Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Yicong He
- Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Ali Akherati
- Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Qi Li
- Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States
| | - Weihua Li
- Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States
| | - David Cocker
- Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92521, United States
| | - Brian C McDonald
- Chemical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado 80305, United States
| | - Matthew M Coggon
- Chemical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado 80305, United States
| | - Karl M Seltzer
- Office of Air and Radiation, Environmental Protection Agency, Research Triangle Park, North Carolina 27709, United States
| | - Havala O T Pye
- Office of Research and Development, Environmental Protection Agency, Research Triangle Park, North Carolina 27709, United States
| | - Jeffrey R Pierce
- Atmospheric Science, Colorado State University, Fort Collins, Colorado 80521, United States
| | - Shantanu H Jathar
- Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
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7
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Fonvielle JA, Felgate SL, Tanentzap AJ, Hawkes JA. Assessment of sample freezing as a preservation technique for analysing the molecular composition of dissolved organic matter in aquatic systems. RSC Adv 2023; 13:24594-24603. [PMID: 37593662 PMCID: PMC10427896 DOI: 10.1039/d3ra01349a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/12/2023] [Indexed: 08/19/2023] Open
Abstract
Dissolved organic matter (DOM) is widely studied in environmental and biogeochemical sciences, but is susceptible to chemical and biological degradation during sample transport and storage. Samples taken in remote regions, aboard ships, or in large numbers need to be preserved for later analysis without changing DOM composition. Here we compare high-resolution mass spectra of solid phase extractable DOM before and after freezing at -20 °C. We found that freezing increases compositional dissimilarity in DOM by between 0 to 18.2% (median = 2.7% across 7 sites) when comparing replicates that were frozen versus unfrozen, i.e., processed immediately after sampling, as compared with differences between unfrozen replicates. The effects of freezing primarily consisted of a poorer detection limit, but were smaller than other sample preparation and analysis steps, such as solid phase extraction and variable ionisation efficiency. Freezing samples for either 21 or 95 days led to similar and only slight changes in DOM composition, albeit with more variation for the latter. Therefore, we conclude that sample freezing on these time scales should not impede scientific study of aquatic DOM and can be used where it makes logistical sense, such as for large spatial surveys or study of archived samples.
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Affiliation(s)
- Jeremy A Fonvielle
- Ecosystems and Global Change Group, Department of Plant Sciences, University of Cambridge Cambridge CB2 3EA UK
| | - Stacey L Felgate
- Department of Chemistry - BMC, Uppsala University Husargatan 3 Uppsala 752 37 Sweden
| | - Andrew J Tanentzap
- Ecosystems and Global Change Group, Department of Plant Sciences, University of Cambridge Cambridge CB2 3EA UK
- Ecosystems and Global Change Group, School of the Environment, Trent University Peterborough K9L 0G2 Canada
| | - Jeffrey A Hawkes
- Department of Chemistry - BMC, Uppsala University Husargatan 3 Uppsala 752 37 Sweden
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8
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Nguyen TB, Bates KH, Buenconsejo RS, Charan SM, Cavanna EE, Cocker DR, Day DA, DeVault MP, Donahue NM, Finewax Z, Habib LF, Handschy AV, Hildebrandt Ruiz L, Hou CYS, Jimenez JL, Joo T, Klodt AL, Kong W, Le C, Masoud CG, Mayernik MS, Ng NL, Nienhouse EJ, Nizkorodov SA, Orlando JJ, Post JJ, Sturm PO, Thrasher BL, Tyndall GS, Seinfeld JH, Worley SJ, Zhang X, Ziemann PJ. Overview of ICARUS-A Curated, Open Access, Online Repository for Atmospheric Simulation Chamber Data. ACS EARTH & SPACE CHEMISTRY 2023; 7:1235-1246. [PMID: 37342759 PMCID: PMC10278178 DOI: 10.1021/acsearthspacechem.3c00043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/18/2023] [Accepted: 05/01/2023] [Indexed: 06/23/2023]
Abstract
Atmospheric simulation chambers continue to be indispensable tools for research in the atmospheric sciences. Insights from chamber studies are integrated into atmospheric chemical transport models, which are used for science-informed policy decisions. However, a centralized data management and access infrastructure for their scientific products had not been available in the United States and many parts of the world. ICARUS (Integrated Chamber Atmospheric data Repository for Unified Science) is an open access, searchable, web-based infrastructure for storing, sharing, discovering, and utilizing atmospheric chamber data [https://icarus.ucdavis.edu]. ICARUS has two parts: a data intake portal and a search and discovery portal. Data in ICARUS are curated, uniform, interactive, indexed on popular search engines, mirrored by other repositories, version-tracked, vocabulary-controlled, and citable. ICARUS hosts both legacy data and new data in compliance with open access data mandates. Targeted data discovery is available based on key experimental parameters, including organic reactants and mixtures that are managed using the PubChem chemical database, oxidant information, nitrogen oxide (NOx) content, alkylperoxy radical (RO2) fate, seed particle information, environmental conditions, and reaction categories. A discipline-specific repository such as ICARUS with high amounts of metadata works to support the evaluation and revision of atmospheric model mechanisms, intercomparison of data and models, and the development of new model frameworks that can have more predictive power in the current and future atmosphere. The open accessibility and interactive nature of ICARUS data may also be useful for teaching, data mining, and training machine learning models.
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Affiliation(s)
- Tran B. Nguyen
- Department
of Environmental Toxicology, University
of California Davis, Davis, California 95616, United States
| | - Kelvin H. Bates
- Department
of Environmental Toxicology, University
of California Davis, Davis, California 95616, United States
- Center
for the Environment, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Reina S. Buenconsejo
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Sophia M. Charan
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Eric E. Cavanna
- Information
and Educational Technology, University of
California Davis, Davis, California 95616, United States
| | - David R. Cocker
- Department
Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92507, United States
| | - Douglas A. Day
- Cooperative
Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado 80309, United States
- Department
of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, United States
| | - Marla P. DeVault
- Cooperative
Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado 80309, United States
- Department
of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, United States
| | - Neil M. Donahue
- Department
of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
- Department
of Chemical Engineering, Carnegie Mellon
University, Pittsburgh, Pennsylvania 15213, United States
- Department
of Engineering and Public Policy, Carnegie
Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Zachary Finewax
- Cooperative
Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado 80309, United States
- Department
of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, United States
| | - Luke F. Habib
- Department
of Chemical Engineering, Carnegie Mellon
University, Pittsburgh, Pennsylvania 15213, United States
| | - Anne V. Handschy
- Cooperative
Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado 80309, United States
| | - Lea Hildebrandt Ruiz
- McKetta
Department of Chemical Engineering, The
University of Texas at Austin, Austin, Texas 78712, United States
| | - Chung-Yi S. Hou
- Data Stewardship Engineering Team, National
Center for Atmospheric Research, Boulder, Colorado 80307, United States
| | - Jose L. Jimenez
- Cooperative
Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado 80309, United States
- Department
of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, United States
| | - Taekyu Joo
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Alexandra L. Klodt
- Department of Chemistry, University of
California Irvine, Irvine, California 92697, United States
| | - Weimeng Kong
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Chen Le
- Department
Chemical and Environmental Engineering, University of California Riverside, Riverside, California 92507, United States
| | - Catherine G. Masoud
- McKetta
Department of Chemical Engineering, The
University of Texas at Austin, Austin, Texas 78712, United States
| | - Matthew S. Mayernik
- Data Stewardship Engineering Team, National
Center for Atmospheric Research, Boulder, Colorado 80307, United States
| | - Nga L. Ng
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
- School of
Chemical and Biomolecular Engineering, Georgia
Institute of Technology, Atlanta, Georgia 30332, United States
- School of
Civil and Environmental Engineering, Georgia
Institute of Technology, Atlanta, Georgia 30332, United States
| | - Eric J. Nienhouse
- Data Stewardship Engineering Team, National
Center for Atmospheric Research, Boulder, Colorado 80307, United States
| | - Sergey A. Nizkorodov
- Department of Chemistry, University of
California Irvine, Irvine, California 92697, United States
| | - John J. Orlando
- Atmospheric
Chemistry Observations and Modeling, National
Center for Atmospheric Research, Boulder, Colorado 80305, United States
| | - Jeroen J. Post
- Information
and Educational Technology, University of
California Davis, Davis, California 95616, United States
| | - Patrick O. Sturm
- Air Quality Research Center, University
of California Davis, Davis, California 95616, United States
| | - Bridget L. Thrasher
- Data Stewardship Engineering Team, National
Center for Atmospheric Research, Boulder, Colorado 80307, United States
| | - Geoffrey S. Tyndall
- Atmospheric
Chemistry Observations and Modeling, National
Center for Atmospheric Research, Boulder, Colorado 80305, United States
| | - John H. Seinfeld
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125, United States
- Division
of Engineering and Applied Science, Calif.
Institute of Technology, Pasadena, California 91125, United States
| | - Steven J. Worley
- Data Stewardship Engineering Team, National
Center for Atmospheric Research, Boulder, Colorado 80307, United States
| | - Xuan Zhang
- Atmospheric
Chemistry Observations and Modeling, National
Center for Atmospheric Research, Boulder, Colorado 80305, United States
| | - Paul J. Ziemann
- Cooperative
Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado 80309, United States
- Department
of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, United States
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9
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Bilsback KR, He Y, Cappa CD, Chang RYW, Croft B, Martin RV, Ng NL, Seinfeld JH, Pierce JR, Jathar SH. Vapors Are Lost to Walls, Not to Particles on the Wall: Artifact-Corrected Parameters from Chamber Experiments and Implications for Global Secondary Organic Aerosol. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:53-63. [PMID: 36563184 DOI: 10.1021/acs.est.2c03967] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Atmospheric models of secondary organic aerosol (OA) (SOA) typically rely on parameters derived from environmental chambers. Chambers are subject to experimental artifacts, including losses of (1) particles to the walls (PWL), (2) vapors to the particles on the wall (V2PWL), and (3) vapors to the wall directly (VWL). We present a method for deriving artifact-corrected SOA parameters and translating these to volatility basis set (VBS) parameters for use in chemical transport models (CTMs). Our process involves combining a box model that accounts for chamber artifacts (Statistical Oxidation Model with a TwO-Moment Aerosol Sectional model (SOM-TOMAS)) with a pseudo-atmospheric simulation to develop VBS parameters that are fit across a range of OA mass concentrations. We found that VWL led to the highest percentage change in chamber SOA mass yields (high NOx: 36-680%; low NOx: 55-250%), followed by PWL (high NOx: 8-39%; low NOx: 10-37%), while the effects of V2PWL are negligible. In contrast to earlier work that assumed that V2PWL was a meaningful loss pathway, we show that V2PWL is an unimportant SOA loss pathway and can be ignored when analyzing chamber data. Using our updated VBS parameters, we found that not accounting for VWL may lead surface-level OA to be underestimated by 24% (0.25 μg m-3) as a global average or up to 130% (9.0 μg m-3) in regions of high biogenic or anthropogenic activity. Finally, we found that accurately accounting for PWL and VWL improves model-measurement agreement for fine mode aerosol mass concentrations (PM2.5) in the GEOS-Chem model.
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Affiliation(s)
- Kelsey R Bilsback
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado80523, United States
- PSE Healthy Energy, Oakland, California94612, United States
| | - Yicong He
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado80523, United States
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing100084, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing100084, China
| | - Christopher D Cappa
- Department of Civil and Environmental Engineering, University of California, Davis, California95616, United States
| | - Rachel Ying-Wen Chang
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova ScotiaB3H 4R2, Canada
| | - Betty Croft
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova ScotiaB3H 4R2, Canada
| | - Randall V Martin
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova ScotiaB3H 4R2, Canada
- Department of Energy, Environmental & Chemical Engineering, Washington University, St. Louis, Missouri63130, United States
| | - Nga Lee Ng
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia30332, United States
- School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia30332, United States
| | - John H Seinfeld
- Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California91125, United States
| | - Jeffrey R Pierce
- Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado80523, United States
| | - Shantanu H Jathar
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado80523, United States
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10
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Acter T, Lee S, Uddin N, Mow KM, Kim S. Characterization of petroleum‐related natural organic matter by ultrahigh‐resolution mass spectrometry. B KOREAN CHEM SOC 2022. [DOI: 10.1002/bkcs.12662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Thamina Acter
- Department of Mathematical and Physical Sciences East West University Dhaka Bangladesh
| | - Seulgidaun Lee
- Department of Chemistry Kyungpook National University Daegu Republic of Korea
| | - Nizam Uddin
- Department of Nutrition and Food Engineering, Faculty of Allied Health Science Daffodil International University Dhaka Bangladesh
| | - Kamarum Monira Mow
- Department of Computer Science and Engineering East West University Dhaka Bangladesh
| | - Sunghwan Kim
- Department of Chemistry Kyungpook National University Daegu Republic of Korea
- Mass Spectrometry Based Convergence Research Institute Kyungpook National University Daegu Republic of Korea
- Green‐Nano Materials Research Center, Kyungpook National University Daegu Republic of Korea
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11
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Song M, Jeong R, Kim D, Qiu Y, Meng X, Wu Z, Zuend A, Ha Y, Kim C, Kim H, Gaikwad S, Jang KS, Lee JY, Ahn J. Comparison of Phase States of PM 2.5 over Megacities, Seoul and Beijing, and Their Implications on Particle Size Distribution. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:17581-17590. [PMID: 36459099 PMCID: PMC9775198 DOI: 10.1021/acs.est.2c06377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Although the particle phase state is an important property, there is scant information on it, especially, for real-world aerosols. To explore the phase state of fine mode aerosols (PM2.5) in two megacities, Seoul and Beijing, we collected PM2.5 filter samples daily from Dec 2020 to Jan 2021. Using optical microscopy combined with the poke-and-flow technique, the phase states of the bulk of PM2.5 as a function of relative humidity (RH) were determined and compared to the ambient RH ranges in the two cities. PM2.5 was found to be liquid to semisolid in Seoul but mostly semisolid to solid in Beijing. The liquid state was dominant on polluted days, while a semisolid state was dominant on clean days in Seoul. These findings can be explained by the aerosol liquid water content related to the chemical compositions of the aerosols at ambient RH; the water content of PM2.5 was much higher in Seoul than in Beijing. Furthermore, the overall phase states of PM2.5 observed in Seoul and Beijing were interrelated with the particle size distribution. The results of this study aid in a better understanding of the fundamental physical properties of aerosols and in examining how these are linked to PM2.5 in polluted urban atmospheres.
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Affiliation(s)
- Mijung Song
- Department
of Environment and Energy, Jeonbuk National
University, Jeonju-si 54896, Jeollabuk-do, Republic of Korea
- Department
of Earth and Environmental Sciences, Jeonbuk
National University, Jeonju-si 54896, Jeollabuk-do, Republic of Korea
| | - Rani Jeong
- Department
of Environment and Energy, Jeonbuk National
University, Jeonju-si 54896, Jeollabuk-do, Republic of Korea
| | - Daeun Kim
- Department
of Environment and Energy, Jeonbuk National
University, Jeonju-si 54896, Jeollabuk-do, Republic of Korea
| | - Yanting Qiu
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Xiangxinyue Meng
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhijun Wu
- State
Key Joint Laboratory of Environmental Simulation and Pollution Control,
College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Andreas Zuend
- Department
of Atmospheric and Oceanic Sciences, McGill
University, Montréal, Québec H3A 0B9, Canada
| | - Yoonkyeong Ha
- School
of Civil and Environmental Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Changhyuk Kim
- School
of Civil and Environmental Engineering, Pusan National University, Busan 46241, Republic of Korea
| | - Haeri Kim
- Department
of Environment and Energy, Jeonbuk National
University, Jeonju-si 54896, Jeollabuk-do, Republic of Korea
| | - Sanjit Gaikwad
- Department
of Environment and Energy, Jeonbuk National
University, Jeonju-si 54896, Jeollabuk-do, Republic of Korea
| | - Kyoung-Soon Jang
- Bio-Chemical
Analysis Team, Korea Basic Science Institute, Cheongju 28119, Republic of Korea
| | - Ji Yi Lee
- Department
of Environmental Science & Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul 03760, Republic
of Korea
| | - Joonyoung Ahn
- Department
of Atmospheric Environment Research, National
Institute of Environmental Research, 215, Jinheung-ro, Eunpyeong-gu, Seoul 03367, Republic of Korea
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12
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He Y, Lambe AT, Seinfeld JH, Cappa CD, Pierce JR, Jathar SH. Process-Level Modeling Can Simultaneously Explain Secondary Organic Aerosol Evolution in Chambers and Flow Reactors. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:6262-6273. [PMID: 35504037 DOI: 10.1021/acs.est.1c08520] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Secondary organic aerosol (SOA) data gathered in environmental chambers (ECs) have been used extensively to develop parameters to represent SOA formation and evolution. The EC-based parameters are usually constrained to less than one day of photochemical aging but extrapolated to predict SOA aging over much longer timescales in atmospheric models. Recently, SOA has been increasingly studied in oxidation flow reactors (OFRs) over aging timescales of one to multiple days. However, these OFR data have been rarely used to validate or update the EC-based parameters. The simultaneous use of EC and OFR data is challenging because the processes relevant to SOA formation and evolution proceed over very different timescales, and both reactor types exhibit distinct experimental artifacts. In this work, we show that a kinetic SOA chemistry and microphysics model that accounts for various processes, including wall losses, aerosol phase state, heterogeneous oxidation, oligomerization, and new particle formation, can simultaneously explain SOA evolution in EC and OFR experiments, using a single consistent set of SOA parameters. With α-pinene as an example, we first developed parameters by fitting the model output to the measured SOA mass concentration and oxygen-to-carbon (O:C) ratio from an EC experiment (<1 day of aging). We then used these parameters to simulate SOA formation in OFR experiments and found that the model overestimated SOA formation (by a factor of 3-16) over photochemical ages ranging from 0.4 to 13 days, when excluding the abovementioned processes. By comprehensively accounting for these processes, the model was able to explain the observed evolution in SOA mass, composition (i.e., O:C), and size distribution in the OFR experiments. This work suggests that EC and OFR SOA data can be modeled consistently, and a synergistic use of EC and OFR data can aid in developing more refined SOA parameters for use in atmospheric models.
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Affiliation(s)
- Yicong He
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Andrew T Lambe
- Aerodyne Research Inc., Billerica, Massachusetts 01821, United States
| | - John H Seinfeld
- Divison of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Christopher D Cappa
- Department of Civil and Environmental Engineering, University of California Davis, Davis, California 95616, United States
| | - Jeffrey R Pierce
- Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado 80521, United States
| | - Shantanu H Jathar
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
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13
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Zaveri RA, Wang J, Fan J, Zhang Y, Shilling JE, Zelenyuk A, Mei F, Newsom R, Pekour M, Tomlinson J, Comstock JM, Shrivastava M, Fortner E, Machado LAT, Artaxo P, Martin ST. Rapid growth of anthropogenic organic nanoparticles greatly alters cloud life cycle in the Amazon rainforest. SCIENCE ADVANCES 2022; 8:eabj0329. [PMID: 35020441 PMCID: PMC8754412 DOI: 10.1126/sciadv.abj0329] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 11/18/2021] [Indexed: 05/31/2023]
Abstract
Aerosol-cloud interactions remain uncertain in assessing climate change. While anthropogenic activities produce copious aerosol nanoparticles smaller than 10 nanometers, they are too small to act as efficient cloud condensation nuclei (CCN). The mechanisms responsible for particle growth to CCN-relevant sizes are poorly understood. Here, we present aircraft observations of rapid growth of anthropogenic nanoparticles downwind of an isolated metropolis in the Amazon rainforest. Model analysis reveals that the sustained particle growth to CCN sizes is predominantly caused by particle-phase diffusion-limited partitioning of semivolatile oxidation products of biogenic hydrocarbons. Cloud-resolving numerical simulations show that the enhanced CCN concentrations in the urban plume substantially alter the formation of shallow convective clouds, suppress precipitation, and enhance the transition to deep convective clouds. The proposed nanoparticle growth mechanism, expressly enabled by the abundantly formed semivolatile organics, suggests an appreciable impact of anthropogenic aerosols on cloud life cycle in previously unpolluted forests of the world.
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Affiliation(s)
- Rahul A. Zaveri
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Jian Wang
- Washington University in Saint Louis, Saint Louis, MO 63130, USA
| | - Jiwen Fan
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Yuwei Zhang
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | | | - Alla Zelenyuk
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Fan Mei
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Rob Newsom
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Mikhail Pekour
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | - Jason Tomlinson
- Pacific Northwest National Laboratory, Richland, WA 99352, USA
| | | | | | | | - Luiz A. T. Machado
- National Institute for Space Research, São José dos Campos, São Paulo 12227-010, Brazil
| | - Paulo Artaxo
- Institute of Physics, University of São Paulo, São Paulo 05508-090, Brazil
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14
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Garofalo LA, He Y, Jathar SH, Pierce JR, Fredrickson CD, Palm BB, Thornton JA, Mahrt F, Crescenzo GV, Bertram AK, Draper DC, Fry JL, Orlando J, Zhang X, Farmer DK. Heterogeneous Nucleation Drives Particle Size Segregation in Sequential Ozone and Nitrate Radical Oxidation of Catechol. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15637-15645. [PMID: 34813317 DOI: 10.1021/acs.est.1c02984] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Secondary organic aerosol formation via condensation of organic vapors onto existing aerosol transforms the chemical composition and size distribution of ambient aerosol, with implications for air quality and Earth's radiative balance. Gas-to-particle conversion is generally thought to occur on a continuum between equilibrium-driven partitioning of semivolatile molecules to the pre-existing mass size distribution and kinetic-driven condensation of low volatility molecules to the pre-existing surface area size distribution. However, we offer experimental evidence in contrast to this framework. When catechol is sequentially oxidized by O3 and NO3 in the presence of (NH4)2SO4 seed particles with a single size mode, we observe a bimodal organic aerosol mass size distribution with two size modes of distinct chemical composition with nitrocatechol from NO3 oxidation preferentially condensing onto the large end of the pre-existing size distribution (∼750 nm). A size-resolved chemistry and microphysics model reproduces the evolution of the two distinct organic aerosol size modes─heterogeneous nucleation to an independent, nitrocatechol-rich aerosol phase.
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Affiliation(s)
- Lauren A Garofalo
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Yicong He
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Shantanu H Jathar
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Jeffrey R Pierce
- Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Carley D Fredrickson
- Department of Atmospheric Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Brett B Palm
- Department of Atmospheric Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Joel A Thornton
- Department of Atmospheric Sciences, University of Washington, Seattle, Washington 98195, United States
| | - Fabian Mahrt
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Laboratory of Environmental Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Giuseppe V Crescenzo
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Allan K Bertram
- Department of Chemistry, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Danielle C Draper
- Department of Chemistry, Reed College, Portland, Oregon 97202, United States
- Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, United States
| | - Juliane L Fry
- Department of Chemistry, Reed College, Portland, Oregon 97202, United States
| | - John Orlando
- National Center for Atmospheric Research, Boulder, Colorado 80307, United States
| | - Xuan Zhang
- National Center for Atmospheric Research, Boulder, Colorado 80307, United States
- Department of Life and Environmental Sciences, University of California, Merced, California 95343, United States
| | - Delphine K Farmer
- Department of Chemistry, Colorado State University, Fort Collins, Colorado 80523, United States
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15
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Qin Y, Ye J, Ohno P, Zhai J, Han Y, Liu P, Wang J, Zaveri RA, Martin ST. Humidity Dependence of the Condensational Growth of α-Pinene Secondary Organic Aerosol Particles. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:14360-14369. [PMID: 34404213 DOI: 10.1021/acs.est.1c01738] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
The influence of relative humidity (RH) on the condensational growth of organic aerosol particles remains incompletely understood. Herein, the RH dependence was investigated via a series of experiments for α-pinene ozonolysis in a continuously mixed flow chamber in which recurring cycles of particle growth occurred every 7 to 8 h at a given RH. In 5 h, the mean increase in the particle mode diameter was 15 nm at 0% RH and 110 nm at 75% RH. The corresponding particle growth coefficients, representing a combination of the thermodynamic driving force and the kinetic resistance to mass transfer, increased from 0.35 to 2.3 nm2 s-1. The chemical composition, characterized by O:C and H:C atomic ratios of 0.52 and 1.48, respectively, and determined by mass spectrometry, did not depend on RH. The Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) was applied to reproduce the observed size- and RH-dependent particle growth by optimizing the diffusivities Db within the particles of the condensing molecules. The Db values increased from 5 α-1 × 10-16 at 0% RH to 2 α-1 × 10-12 cm-2 s-1 at 75% RH for mass accommodation coefficients α of 0.1 to 1.0, highlighting the importance of particle-phase properties in modeling the growth of atmospheric aerosol particles.
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Affiliation(s)
- Yiming Qin
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Jianhuai Ye
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Paul Ohno
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Jinghao Zhai
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Yuemei Han
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Pengfei Liu
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
- School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Junfeng Wang
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
| | - Rahul A Zaveri
- Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Scot T Martin
- School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
- Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138, United States
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