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Wang L, Gao K, Li W, Lu L. Research progress on the characteristics, sources, and environmental and potential health effects of water-soluble organic compounds in atmospheric particulate matter. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:11472-11489. [PMID: 38198085 DOI: 10.1007/s11356-023-31723-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 12/21/2023] [Indexed: 01/11/2024]
Abstract
Water-soluble organic compounds (WSOCs) have received extensive attention due to their indistinct chemical components, complex sources, negative environmental impact, and potential health effects. To the best of our knowledge, until now, there has been no comprehensive review focused on the research progress of WSOCs. This paper reviewed the studies on chemical constituent and characterization, distribution condition, sources, environmental impact, as well as the potential health effects of WSOCs in the past 13 years. Moreover, the main existing challenges and directions for the future research on WSOCs were discussed from several aspects. Because of the complex composition of WSOCs and many unknown individual components that have not been detected, there is still a need for the identification and quantification of WSOCs. As modern people spend more time in indoor environments, it is meaningful to fill the gaps in the component characteristics and sources of indoor WSOCs. In addition, although in vitro cell experiments have shown that WSOCs could induce cellular oxidative stress and trigger the inflammatory response, the corresponding mechanisms of action need to be further explored. The current population epidemiology research of WSOCs is missing. Prospectively, we propose to conduct a comprehensive and simultaneous analysis strategy for concentration screening, source apportionment, potential health effects, and action mechanisms of WSOCs based on high throughput omics coupled with machine learning simulation and prediction.
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Affiliation(s)
- Linxiao Wang
- Key Laboratory of Beijing On Regional Air Pollution Control, Department of Environmental Science, Beijing University of Technology, Beijing, 100124, People's Republic of China
| | - Ke Gao
- Key Laboratory of Beijing On Regional Air Pollution Control, Department of Environmental Science, Beijing University of Technology, Beijing, 100124, People's Republic of China.
| | - Wei Li
- Key Laboratory of Beijing On Regional Air Pollution Control, Department of Environmental Science, Beijing University of Technology, Beijing, 100124, People's Republic of China
| | - Liping Lu
- Key Laboratory of Beijing On Regional Air Pollution Control, Department of Environmental Science, Beijing University of Technology, Beijing, 100124, People's Republic of China
- Department of Chemistry and Biology, Center of Excellence for Environmental Safety and Biological Effects, Beijing University of Technology, Beijing, 100124, People's Republic of China
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van der Westhuizen D, Howlett-Downing C, Molnár P, Boman J, Wichmann J, von Eschwege KG. Source apportionment of fine atmospheric particles in Bloemfontein, South Africa, using positive matrix factorization. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:188. [PMID: 38261167 PMCID: PMC10806018 DOI: 10.1007/s10661-023-12293-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 12/29/2023] [Indexed: 01/24/2024]
Abstract
Air pollution is of major health and environmental concern globally and in South Africa. Studies on the sources of PM2.5 air pollution in low- and middle-income countries such as South Africa are limited. This study aimed to identify local and distant sources of PM2.5 pollution in Bloemfontein. PM2.5 samples were collected from June 16, 2020 to August 18, 2021. Trace element concentrations were determined by EDXRF spectroscopy. By use of the US EPA PMF 5.0 program, local sources were determined to be combustion/wood burning (49%), industry (22%), soil dust (10%), base metal/pyrometallurgical and traffic (9.6%) and water treatment/industry (9.4%). The HYSPLIT program was applied to determine distant PM2.5 source areas and the following clusters were identified: Mpumalanga province (52%), Northern Cape province (35%), Indian Ocean (8%) and Atlantic Ocean (6%). The majority of the air was found to come from the Mpumalanga province in the north-east, while the majority of local sources are ascribed to combustion/wood burning. Results from this study can be used to develop an Air Quality Management Plan for Bloemfontein.
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Affiliation(s)
| | - Chantelle Howlett-Downing
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Peter Molnár
- Department of Occupational and Environmental Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Johan Boman
- Department of Chemistry and Molecular Biology, Atmospheric Science Division, University of Gothenburg, Gothenburg, Sweden.
| | - Janine Wichmann
- School of Health Systems and Public Health, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
| | - Karel G von Eschwege
- Department of Chemistry, University of the Free State, PO Box 339, Bloemfontein, 9300, South Africa.
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Deng M, Chen D, Zhang G, Cheng H. Policy-driven variations in oxidation potential and source apportionment of PM 2.5 in Wuhan, central China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 853:158255. [PMID: 36028034 DOI: 10.1016/j.scitotenv.2022.158255] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 08/18/2022] [Accepted: 08/20/2022] [Indexed: 06/15/2023]
Abstract
China has implemented several control measures to mitigate PM2.5 pollution and improve air quality, such as the Action Plan for the Prevention and Control of Air Pollution (APPCAP). To comprehensively assess the changes in ambient PM2.5 concentrations and the corresponding health risk with the implementation of APPCAP, this study examined PM2.5 samples collected in Wuhan in 2012/2013 and 2018 for water-soluble ions, carbonaceous fractions, and elements, respectively. Dithiothreitol (DTT) assay was used to determine the oxidation potential (OP) of PM2.5. The positive matrix factorization (PMF) model and the multiple linear regression (MLR) model were used to analyze PM2.5 sources and the contribution of each source to the OP of PM2.5. The results showed that PM2.5 concentrations in Wuhan decreased significantly, however, there was little change in the health risk and a significant increase in intrinsic toxicity. DTTv (the volume-normalized dithiothreitol) showed high correlations (r > 0.5, p < 0.01) with water-soluble organic carbon (WSOC), organic carbon (OC), secondary ions (NO3-, SO42-, and NH4+), and elements. Compared to 2012/2013, the contribution of vehicle emissions and secondary aerosol sources to PM2.5 increased significantly in 2018. Biomass burning sources significantly contribute to DTTv in the summer and autumn, and secondary aerosol sources significantly contribute to DTTv in winter. The human health impacts from coal combustion sources remained high, while vehicle emission sources increased. In the context of decreasing PM2.5 concentrations, the role of vehicle emissions health impacts is increasingly significant due to the large increment in vehicle ownership and high inherent OP. Therefore, targeting vehicle emissions for control is of great importance for human health and needs to be given great attention in future policymaking.
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Affiliation(s)
- Mengjie Deng
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China
| | - Danhong Chen
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China
| | - Gan Zhang
- Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Hairong Cheng
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430072, China.
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Zaharioiu AM, Şandru C, Ionete EI, Marin F, Ionete RE, Soare A, Constantinescu M, Bucura F, Niculescu VC. Eco-Friendly Alternative Disposal through the Pyrolysis Process of Meat and Bone Meal. MATERIALS (BASEL, SWITZERLAND) 2022; 15:6593. [PMID: 36233935 PMCID: PMC9572508 DOI: 10.3390/ma15196593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/16/2022] [Accepted: 09/16/2022] [Indexed: 06/16/2023]
Abstract
The capitalization of agri-food waste is essential for the sustainability of a circular economy. This work focuses on a solution to eliminate such waste, meat and bone meal (MBM), which is produced in large quantities by the food industry and is prohibited for use as animal feed under the European directives. Therefore, with the focus of converting waste to energy, the catalytic pyrolysis of MBM in the presence of mesoporous silica nanocatalysts (SBA-3 and SBA-16 materials and metallic derivates) was investigated in a home-made reactor for the production of renewable energy. The mesoporous silica materials were synthesized using relatively simple methods and then characterized in order to determine their morpho-structural characteristics. The MBM pyrolysis behavior under different experimental conditions was examined in detail, both in the presence and absence of the new catalysts. The resulting MBM-based pyrolysis products, MBMPYOILs and MBMPYGASs, were also assessed as potential alternative fuels, highlighting comparable energy values to conventional fuels. The outcomes of this investigation offer a potential pathway to the clean production of gas and oil, thus promoting the high-grade utilization of MBM waste.
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Feng Z, Zheng F, Yan C, Fu P, Zhang Y, Lin Z, Cai J, Du W, Wang Y, Kangasluoma J, Bianchi F, Petäjä T, Wang Y, Kulmala M, Liu Y. The impact of ammonium on the distillation of organic carbon in PM 2.5. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 803:150012. [PMID: 34525708 DOI: 10.1016/j.scitotenv.2021.150012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 08/18/2021] [Accepted: 08/25/2021] [Indexed: 06/13/2023]
Abstract
Thermal desorption coupled with different detectors is an important analysis method for ambient carbonaceous aerosols. However, it is unclear how the compounds coexisting in both the gas and particle phases affect carbonaceous aerosol concentrations and measurements during thermal desorption. We observed matrix effects leading to a redistribution of different OC fractions (OC1 to OC4) during the thermal desorption process. These factors led to the formation of OC with low volatility (OC4), mainly from high-volatility OC (OC1 and OC2). Laboratory studies further indicated that ammonium promotes such matrix effects by transforming OC in the particle phase. Therefore, in addition to providing insights into the chemical evolution of OC during haze events, we argue that thermal-desorption-based OC measurements should be used with caution, which is an important step towards a more accurate measurement of OC in the ambient atmosphere.
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Affiliation(s)
- Zemin Feng
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Feixue Zheng
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Chao Yan
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Peng Fu
- Hebei Sailhero Environmental Protection Hi-Tech., Ltd, Shijiazhuang 050035, China
| | - Yusheng Zhang
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Zhuohui Lin
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Jing Cai
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Wei Du
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Yonghong Wang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Juha Kangasluoma
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Federico Bianchi
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Tuukka Petäjä
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Yuesi Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Markku Kulmala
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Finland
| | - Yongchun Liu
- Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
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Adeyemi A, Molnar P, Boman J, Wichmann J. Source apportionment of fine atmospheric particles using positive matrix factorization in Pretoria, South Africa. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:716. [PMID: 34637007 DOI: 10.1007/s10661-021-09483-3] [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] [Received: 04/18/2021] [Accepted: 09/22/2021] [Indexed: 06/13/2023]
Abstract
In Pretoria South Africa, we looked into the origins of fine particulate matter (PM2.5), based on 1-year sampling campaign carried out between April 18, 2017, and April 17, 2018. The average PM2.5 concentration was 21.1 ± 15.0 µg/m3 (range 0.7-66.8 µg/m3), with winter being the highest and summer being the lowest. The XEPOS 5 energy dispersive X-ray fluorescence (EDXRF) spectroscopy was used for elemental analysis, and the US EPA PMF 5.0 program was used for source apportionment. The sources identified include fossil fuel combustion, soil dust, secondary sulphur, vehicle exhaust, road traffic, base metal/pyrometallurgical, and coal burning. Coal burning and secondary sulphur were significantly higher in winter and contributed more than 50% of PM2.5 sources. The HYSPLIT model was used to calculate the air mass trajectories (version 4.9). During the 1-year research cycle, five transportation clusters were established: North Limpopo (NLP), Eastern Inland (EI), Short-Indian Ocean (SIO), Long-Indian Ocean (LIO), and South Westerly-Atlantic Ocean (SWA). Local and transboundary origin accounted for 85%, while 15% were long-range transport. Due to various anthropogenic activities such as biomass burning and coal mining, NLP clusters were the key source of emissions adding to the city's PM rate. In Pretoria, the main possible source regions of PM2.5 were discovered to be NLP and EI. Effective control strategies designed at reducing secondary sulphur, coal burning, and fossil fuel combustion emissions at Southern African level and local combustion sources would be an important measure to combat the reduction of ambient PM2.5 pollution in Pretoria.
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Affiliation(s)
- Adewale Adeyemi
- School of Health Systems and Public Health, University of Pretoria, 31 Bophelo Road 00 01, Pretoria, South Africa.
- Department of Environmental Modeling and Biometrics, Forestry Research Institute of Nigeria, Ibadan, Nigeria.
| | - Peter Molnar
- Occupational and Environmental Medicine, Sahlgrenska University Hospital & University of Gothenburg, Medicinaregatan 16A, 40530, Gothenburg, Sweden
| | - Johan Boman
- Department of Chemistry and Molecular Biology, University of Gothenburg Sweden, Gothenburg, Sweden
| | - Janine Wichmann
- School of Health Systems and Public Health, University of Pretoria, 31 Bophelo Road 00 01, Pretoria, South Africa
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Mahilang M, Deb MK, Nirmalkar J, Pervez S. Influence of fireworks emission on aerosol aging process at lower troposphere and associated health risks in an urban region of eastern central India. ATMOSPHERIC POLLUTION RESEARCH 2020; 11:1127-1141. [PMID: 32322156 PMCID: PMC7172683 DOI: 10.1016/j.apr.2020.04.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 04/17/2020] [Accepted: 04/17/2020] [Indexed: 05/05/2023]
Abstract
To study the influence of fireworks in atmospheric aerosols and their effect on health during the extreme firework days, fireworks tracer metals and carbonaceous species in size-distributed aerosols in the lower troposphere at Raipur in eastern central India were investigated during the 2018 Deepawali festival. Aerosol samples were collected, before Deepawali period (BDP, n = 5), during Deepawali period (DDP, n = 5) and after Deepawali period (ADP, n = 5). Bimodal size-distribution with intense fine mode peak was found for Na during DDP. Bimodal distribution with fine mode intense peak was found for K during DDP. The bimodal size distribution of K was found common for other events because of biomass burning emissions, whereas high intense peak during DDP indicated mixed sources from biomass burning and fireworks. During DDP, K and Ca were well correlated (r2 = 0.93) together. Strong metal-metal correlations were found between the following pairs, Zn-Fe, Cu-Fe and Cu-Ca, which indicated the similar firecrackers burning source. The atmospheric aging of aerosols was also found significantly high during fireworks days. Aging of aerosols were higher because of heterogeneous reactions of SO2 and NOx on aerosols directly emitted from fireworks. The observed high values of inhalation dose of elemental carbon during DDP period imposed higher risk of respiratory diseases. This study has provided carbonaceous fractions composition data as a tool to detect the aging processes of fireworks in ultra-fine, fine and coarse mode particles during the extreme firework days. Inhalation doses were calculated to establish potential influence on human health.
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Affiliation(s)
- Mithlesh Mahilang
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, 492010, Chhattisgarh, India
| | - Manas Kanti Deb
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, 492010, Chhattisgarh, India
| | - Jayant Nirmalkar
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, 492010, Chhattisgarh, India
- Korea Research Institute of Standards and Science, Daejeon, 34113, South Korea
| | - Shamsh Pervez
- School of Studies in Chemistry, Pt. Ravishankar Shukla University, Raipur, 492010, Chhattisgarh, India
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