1
|
Song Z, Chen L, Sun S, Yang G, Yu G. Unveiling the airborne microbial menace: Novel insights into pathogenic bacteria and fungi in bioaerosols from nursery schools to universities. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172694. [PMID: 38670386 DOI: 10.1016/j.scitotenv.2024.172694] [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: 08/14/2023] [Revised: 04/07/2024] [Accepted: 04/21/2024] [Indexed: 04/28/2024]
Abstract
Bacterial and fungal aerosol pollution is widespread in indoor school environments, and poses potential health risks to students and staff. Understanding the distribution and diversity of microbial communities within aerosols is crucial to mitigate their adverse effects. Existing knowledge regarding the composition of bacterial and fungal aerosols, particularly the presence of potential pathogenic microorganisms in fine particulate matter (PM2.5) from nursery schools to universities, is limited. To bridge this knowledge gap, in the present study, we collected PM2.5 samples from five types of schools (i.e., nursery schools, primary schools, junior schools, and high schools and universities) in China. We used advanced single-molecule real-time sequencing to analyze the species-level diversity of bacterial and fungal components in PM2.5 samples based on 16S and ITS ribosomal genes, respectively. We found significant differences in microbial diversity and community composition among the samples obtained from different educational institutions and pollution levels. In particularly, junior schools exhibited higher PM2.5 concentrations (62.2-86.6 μg/m3) than other schools (14.4-48.4 μg/m3). Moreover, microbial variations in PM2.5 samples were associated with institution type. Notably, the prevailing pathogenic microorganisms included Staphylococcus aureus, Staphylococcus epidermidis, Staphylococcus haemolyticus, Streptococcus pneumoniae, and Schizophyllum commune, all of which were identified as Class II Pathogenic Microorganisms in school settings. Four potentially novel strains of S. commune were identified in PM2.5 samples collected from the university; the four strains showed 92.4 %-94.1 % ITS sequence similarity to known Schizophyllum isolates. To the best of our knowledge, this is the first study to explore bacterial and fungal diversity within PM2.5 samples from nursery schools to universities. Overall, these findings contribute to the existing knowledge of school environmental microbiology to ensure the health and safety of students and staff and impacting public health.
Collapse
Affiliation(s)
- Zhicheng Song
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Lei Chen
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Shuwei Sun
- Jinan Licheng No.2 High School, Jinan 250109, China
| | - Guiwen Yang
- College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Guanliu Yu
- College of Life Sciences, Shandong Normal University, Jinan 250014, China.
| |
Collapse
|
2
|
Powers CI, Li L, Ezzati M, Butler JP, Zigler CM, Spengler JD. Chronic household air pollution and exposure patterns among Himalayan nomads. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024:10.1038/s41370-024-00656-z. [PMID: 38443463 DOI: 10.1038/s41370-024-00656-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Household air pollution (HAP) is a major risk factor of non-communicable diseases, causing millions of premature deaths each year in developing nations. Populations living at high altitudes are particularly vulnerable to HAP and associated health outcomes. OBJECTIVES This study aims to explore the relationships between activity patterns, HAP, and an HAP biomarker among 100 Himalayan nomadic households during both cooking and heating-only periods. METHODS Household CO was monitored in 100 rural homes in Qinghai, China, at 3500 m on the Himalayan Plateau among Himalayan nomads. Carboxyhemoglobin (COHb) was used as a biomarker to assess exposure among 100 male and 100 female heads of household. Linear mixed-effects models were used to explore the relationship between COHb and activity patterns. RESULTS Cooking periods were associated with 7 times higher household CO concentrations compared with heating periods (94 ± 56 ppm and 13 ± 11 ppm, respectively). Over the three-day biomarker-monitoring period in each house, 99% of subjects had at least one COHb measurement exceeding the WHO safety level of 2%. Cooking was associated with a 32% increase in COHb (p < 0.001). IMPACT STATEMENT This study on household air pollution (HAP) in high-altitude regions provides important insights into the exposure patterns of nomadic households in Qinghai, China. The study found that cooking is the primary factor influencing acute carbon monoxide (CO) exposure among women, while heating alone is sufficient to elevate CO exposure above WHO guidelines. The results suggest that cooking-only interventions have the potential to reduce HAP exposure among women, but solutions for both cooking and heating may be required to reduce COHb to below WHO guidelines. This study's findings may inform future interventions for fuel and stove selection to reduce HAP and exposure among other populations.
Collapse
Affiliation(s)
- Catlin I Powers
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Linyan Li
- School of Data Science, City University of Hong Kong, HKSAR, China.
- Department of Infectious Disease and Public Health, City University of Hong Kong, HKSAR, China.
| | - Majid Ezzati
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - James P Butler
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Corwin M Zigler
- Departments of Statistics and Data Sciences, University of Texas at Austin and Dell Medical School, Austin, TX, USA
| | - John D Spengler
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
3
|
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.
Collapse
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
| |
Collapse
|
4
|
Shupler M, Tawiah T, Nix E, Baame M, Lorenzetti F, Betang E, Chartier R, Mangeni J, Upadhya A, Anderson de Cuevas R, Sang E, Piedrahita R, Johnson M, Wilson D, Amenga-Etego S, Twumasi M, Ronzi S, Menya D, Puzzolo E, Quansah R, Asante KP, Pope D, Mbatchou Ngahane BH. Household concentrations and female and child exposures to air pollution in peri-urban sub-Saharan Africa: measurements from the CLEAN-Air(Africa) study. Lancet Planet Health 2024; 8:e95-e107. [PMID: 38331535 PMCID: PMC10864747 DOI: 10.1016/s2542-5196(23)00272-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 02/10/2024]
Abstract
BACKGROUND Relatively clean cooking fuels such as liquefied petroleum gas (LPG) emit less fine particulate matter (PM2·5) and carbon monoxide (CO) than polluting fuels (eg, wood, charcoal). Yet, some clean cooking interventions have not achieved substantial exposure reductions. This study evaluates determinants of between-community variability in exposures to household air pollution (HAP) across sub-Saharan Africa. METHODS In this measurement study, we recruited households cooking primarily with LPG or exclusively with wood or charcoal in peri-urban Cameroon, Ghana, and Kenya from previously surveyed households. In 2019-20, we conducted monitoring of 24 h PM2·5 and CO kitchen concentrations (n=256) and female cook (n=248) and child (n=124) exposures. PM2·5 measurements used gravimetric and light scattering methods. Stove use monitoring and surveys on cooking characteristics and ambient air pollution exposure (eg, walking time to main road) were also administered. FINDINGS The mean PM2·5 kitchen concentration was five times higher among households cooking with charcoal than those using LPG in the Kenyan community (297 μg/m3, 95% CI 216-406, vs 61 μg/m3, 49-76), but only 4 μg/m3 higher in the Ghanaian community (56 μg/m3, 45-70, vs 52 μg/m3, 40-68). The mean CO kitchen concentration in charcoal-using households was double the WHO guideline (6·11 parts per million [ppm]) in the Kenyan community (15·81 ppm, 95% CI 8·71-28·72), but below the guideline in the Ghanaian setting (1·77 ppm, 1·04-2·99). In all communities, mean PM2·5 cook exposures only met the WHO interim-1 target (35 μg/m3) among LPG users staying indoors and living more than 10 min walk from a road. INTERPRETATION Community-level variation in the relative difference in HAP exposures between LPG and polluting cooking fuel users in peri-urban sub-Saharan Africa might be attributed to differences in ambient air pollution levels. Thus, mitigation of indoor and outdoor PM2·5 sources will probably be critical for obtaining significant exposure reductions in rapidly urbanising settings of sub-Saharan Africa. FUNDING UK National Institute for Health and Care Research.
Collapse
Affiliation(s)
- Matthew Shupler
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK.
| | | | - Emily Nix
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | | | - Federico Lorenzetti
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | | | | | | | - Adithi Upadhya
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | | | - Edna Sang
- School of Public Health, Moi University, Eldoret, Kenya
| | | | | | | | | | | | - Sara Ronzi
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | - Diana Menya
- School of Public Health, Moi University, Eldoret, Kenya
| | - Elisa Puzzolo
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | | | | | - Daniel Pope
- Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, UK
| | | |
Collapse
|
5
|
Saraga DΕ, Querol X, Duarte RMBO, Aquilina NJ, Canha N, Alvarez EG, Jovasevic-Stojanovic M, Bekö G, Byčenkienė S, Kovacevic R, Plauškaitė K, Carslaw N. Source apportionment for indoor air pollution: Current challenges and future directions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165744. [PMID: 37487894 DOI: 10.1016/j.scitotenv.2023.165744] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
Source apportionment (SA) for indoor air pollution is challenging due to the multiplicity and high variability of indoor sources, the complex physical and chemical processes that act as primary sources, sinks and sources of precursors that lead to secondary formation, and the interconnection with the outdoor environment. While the major indoor sources have been recognized, there is still a need for understanding the contribution of indoor versus outdoor-generated pollutants penetrating indoors, and how SA is influenced by the complex processes that occur in indoor environments. This paper reviews our current understanding of SA, through reviewing information on the SA techniques used, the targeted pollutants that have been studied to date, and their source apportionment, along with limitations or knowledge gaps in this research field. The majority (78 %) of SA studies to date focused on PM chemical composition/size distribution, with fewer studies covering organic compounds such as ketones, carbonyls and aldehydes. Regarding the SA method used, the majority of studies have used Positive Matrix Factorization (31 %), Principal Component Analysis (26 %) and Chemical Mass Balance (7 %) receptor models. The indoor PM sources identified to date include building materials and furniture emissions, indoor combustion-related sources, cooking-related sources, resuspension, cleaning and consumer products emissions, secondary-generated pollutants indoors and other products and activity-related emissions. The outdoor environment contribution to the measured pollutant indoors varies considerably (<10 %- 90 %) among the studies. Future challenges for this research area include the need for optimization of indoor air quality monitoring and data selection as well as the incorporation of physical and chemical processes in indoor air into source apportionment methodology.
Collapse
Affiliation(s)
- Dikaia Ε Saraga
- Atmospheric Chemistry & Innovative Technologies Laboratory, INRASTES, NCSR Demokritos, Aghia Paraskevi, Athens 15310, Greece.
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA), CSIC, Barcelona, Spain
| | - Regina M B O Duarte
- CESAM - Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Noel J Aquilina
- Department of Chemistry - Faculty of Science, Chemistry Building, University of Malta, Malta
| | - Nuno Canha
- Centro de Ciências e Tecnologias Nucleares (C(2)TN), Instituto Superior Técnico, Universidade de Lisboa, Estrada Nacional 10, Km 139.7, 2695-066 Bobadela LRS, Portugal
| | - Elena Gómez Alvarez
- Department of Agronomy, University of Cordoba, Campus de Rabanales, 14071 Cordoba, Spain
| | - Milena Jovasevic-Stojanovic
- Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Serbia
| | - Gabriel Bekö
- Department of Environmental and Resource Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark; Healthy and Sustainable Built Environment Research Centre, Ajman University, Ajman, P.O. Box 346, United Arab Emirates
| | - Steigvilė Byčenkienė
- Department of Environmental Research, Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, LT-10257 Vilnius, Lithuania
| | | | - Kristina Plauškaitė
- Department of Environmental Research, Center for Physical Sciences and Technology (FTMC), Saulėtekio ave. 3, LT-10257 Vilnius, Lithuania
| | - Nicola Carslaw
- Department of Environment and Geography, University of York, UK
| |
Collapse
|
6
|
Kanagasabai T, Carter E, Yan L, Chan Q, Elliott P, Ezzati M, Kelly F, Xie G, Yang X, Zhao L, Guo D, Daskalopoulou SS, Wu Y, Baumgartner J. Cross-sectional study of household solid fuel use and renal function in older adults in China. ENVIRONMENTAL RESEARCH 2023; 219:115117. [PMID: 36549492 PMCID: PMC7615253 DOI: 10.1016/j.envres.2022.115117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 12/16/2022] [Accepted: 12/18/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Emerging evidence links outdoor air pollution and declined renal function but the relationship between household air pollution and renal function is not well understood. METHODS Using cross-sectional data from the multi-provincial INTERMAP-China Prospective Study, we collected blood samples and questionnaire information on stove use and socio-demographic factors. We calculated estimated glomerular filtration rate (eGFR) from serum creatinine to assess renal function. Participants with eGFR <60 mL/min per 1.73 m2 were defined as having chronic kidney disease (CKD) in this analysis. Generalized estimating equations were used to estimate the association of household fuel with renal function and prevalent CKD in models adjusting for confounders. RESULTS Among the 646 enrolled adults (40-79y; 56% female), one-third exclusively used clean fuel (gas and electric) cookstoves and 11% of northern China participants (n = 49 of 434) used only clean fuel heaters, whereas the rest used solid fuel. In multivariable models, use of solid fuel cookstoves was associated with 0.17 ml/min/1.73 m2 (95% CI: -0.30, 0.64) higher eGFR and 19% (0.86, 1.64) higher prevalence of CKD than exclusive clean fuel use. Greater intensity of solid fuel use was associated with 0.25 ml/min/1.73 m2 (-0.71, 0.21) lower eGFR per 5 stove-use years, though the confidence intervals included the null, while greater current intensity of indoor solid fuel use was associated with 1.02 (1.00, 1.04) higher prevalent CKD per 100 stove-use days per year. Larger associations between current solid fuel use and intensity of use with lower eGFR and prevalent CKD were observed among participants in southern China, those with hypertension or diabetes (eGFR only), and females (CKD only), through these groups had small sample sizes and some confidence intervals included the null. CONCLUSION We found inconsistent evidence associating household solid fuel use and renal function in this cross-sectional study of peri-urban Chinese adults.
Collapse
Affiliation(s)
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA
| | - Li Yan
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Frank Kelly
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Gaoqiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Xudong Yang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Liancheng Zhao
- Fu Wai Hospital and Cardiovascular Institute, Chinese Academy of Medical Sciences, Beijing, China
| | - Dongshuang Guo
- Department of Cardiology, Yuxian Hospital, Yuxian, Shanxi, China
| | - Stella S Daskalopoulou
- Department of Medicine, Division of Internal Medicine and Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
| | - Yangfeng Wu
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China.
| | - Jill Baumgartner
- School of Population and Global Health, McGill University, Montreal, Quebec, Canada.
| |
Collapse
|
7
|
Das A, Baig NA, Yawar M, Kumar A, Habib G, Perumal V. Size fraction of hazardous particulate matter governing the respiratory deposition and inhalation risk in the highly polluted city Delhi. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:11600-11616. [PMID: 36097310 DOI: 10.1007/s11356-022-22733-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
Delhi has been identified as one of the highly polluted cities in the world and recently associated with the highest population weighted PM2.5 concentration. However, the unavailability of the health risk estimations using long-term data for Indian cities has been pointed out as a hurdle in performing the correct assessment. The present work estimated deposition of particles in different regions of respiratory systems (head airway = 67% deposition for 2.5 µm particles; tracheo-bronchiolar (TB) = 73% deposition for 1.0 µm particles; alveolar (AL) = 17% deposition for 0.5 µm, 0.25 µm, and < 0.25 µm particles) using PM samples collected at a breathing height of 1.5 m near the major ring road in New Delhi (India). The calculated risk index (RI) varied considerably between winter (1.21 ± 0.26 to 1.33 ± 0.50) and pre-monsoon-southwest monsoon months (0.34 ± 0.08 to 0.96 ± 0.27). Respiratory deposition dose of nanosized particles (≤ 500 nm) in the alveoli region of the lung was found to be considerable (35%) indicating the need for understanding the role of these particles in posing health risk. Although the calculated values of risk metric for exposures of PM-associated metals indicated no risk to IIT Delhi population (hazard quotient < 1 and excess risk of getting cancer < 10-6-10-9), continuous monitoring for particles of different sizes at inhalation height are required for protecting human health.
Collapse
Affiliation(s)
- Ananya Das
- Department of Civil Engineering, Indian Institute of Technology, Delhi, India
| | - Nisar Ali Baig
- Department of Civil Engineering, Indian Institute of Technology, Delhi, India
| | - Mohammad Yawar
- Department of Mathematics, University of Houston, Houston, USA
| | - Arun Kumar
- Department of Civil Engineering, Indian Institute of Technology, Delhi, India
| | - Gazala Habib
- Department of Civil Engineering, Indian Institute of Technology, Delhi, India.
| | - Vivekanandan Perumal
- Kusuma School of Biological Sciences, Indian Institute of Technology, Delhi, India
| |
Collapse
|
8
|
Liu Z, Feng Y, Peng Y, Cai J, Li C, Li Q, Zheng M, Chen Y. Emission Characteristics and Formation Mechanism of Carbonyl Compounds from Residential Solid Fuel Combustion Based on Real-World Measurements and Tube-Furnace Experiments. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:15417-15426. [PMID: 36257779 DOI: 10.1021/acs.est.2c05418] [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: 06/16/2023]
Abstract
This study updated carbonyl compound (CC) emission factors (EFs) and composition for residential solid fuel combustion based on real-world measurements of 124 fuel/stove combinations in China and explored the CC formation mechanism using tube-furnace experiments with 19 fuels and low/high temperatures to explain the impact of fuel and stove on CC emission characteristics. The average EFCC values for straw, wood, and coal were 1.94 ± 1.57, 1.50 ± 0.88, and 0.40 ± 0.54 g/kg, respectively. Formaldehyde and acetaldehyde were the most abundant species, accounting for 40-60% of CCs, followed by acetone (∼20%), aromatic aldehydes (∼10%), and unsaturated aldehydes (∼5%). Different from formaldehyde and acetaldehyde, other species showed significant variation among fuel types. All these characteristics could be explained by the difference in the volatile content and chemical structure of fuel, such as aromatic in coal versus lignin in biomass. The improvement in stove technology reduced CC emissions by 30.4-69.7% (mainly formaldehyde and acetaldehyde) among fuels but increased the proportion of aromatic aldehydes by 24.3-89.4%. Various CC species showed different formation mechanisms related to fuel property and burning temperature. The volatile matter derived from thermal pyrolysis of fuel polymers determined CC composition, while higher temperature preferentially degraded formaldehyde and acetaldehyde but promoted the formation of acetone and aromatic aldehydes. This study not only revealed emission characteristic of CCs from RSFC but also contributed to the improvement of clean combustion technology.
Collapse
Affiliation(s)
- Zeyu Liu
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Yanli Feng
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
| | - Yu Peng
- Institute of Environmental Pollution and Health, School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
| | - Junjie Cai
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Chunlei Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Qing Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Mei Zheng
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Yingjun Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| |
Collapse
|
9
|
Zhang N, Geng C, Xu J, Zhang L, Li P, Han J, Gao S, Wang X, Yang W, Bai Z, Zhang W, Han B. Characteristics, Source Contributions, and Source-Specific Health Risks of PM 2.5-Bound Polycyclic Aromatic Hydrocarbons for Senior Citizens during the Heating Season in Tianjin, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:4440. [PMID: 35457316 PMCID: PMC9030979 DOI: 10.3390/ijerph19084440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/02/2022] [Accepted: 04/06/2022] [Indexed: 02/04/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) have carcinogenic impacts on human health. However, limited studies are available on the characteristics, sources, and source-specific health risks of PM2.5-bound PAHs based on personal exposure data, and comparisons of the contributions of indoor and outdoor sources are also lacking. We recruited 101 senior citizens in the winter of 2011 for personal PM2.5 sample collection. Fourteen PAHs were analyzed, potential sources were apportioned using positive matrix factorization (PMF), and inhalational carcinogenic risks of each source were estimated. Six emission sources were identified, including coal combustion, gasoline emission, diesel emission, biomass burning, cooking, and environmental tobacco smoking (ETS). The contribution to carcinogenic risk of each source occurred in the following sequence: biomass burning > diesel emission > gasoline emission > ETS > coal combustion > cooking. Moreover, the contributions of biomass burning, diesel emission, ETS, and indoor sources (sum of cooking and ETS) to PAH-induced carcinogenic risk were higher than those to the PAH mass concentration, suggesting severe carcinogenic risk per unit contribution. This study revealed the contribution of indoor and outdoor sources to mass concentration and carcinogenic risk of PM2.5-bound PAHs, which could act as a guide to mitigate the exposure level and risk of PM2.5-bound PAHs.
Collapse
Affiliation(s)
- Nan Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| | - Chunmei Geng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| | - Jia Xu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| | - Liwen Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin 300070, China;
| | - Penghui Li
- School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China;
| | - Jinbao Han
- School of Quality and Technical Supervision, Hebei University, Baoding 071002, China;
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China;
| | - Xinhua Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| | - Wen Yang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| | - Zhipeng Bai
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| | - Wenge Zhang
- Particle Laboratory, Center for Environmental Metrology, National Institute of Metrology, Beijing 100022, China
| | - Bin Han
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; (N.Z.); (C.G.); (J.X.); (X.W.); (W.Y.); (Z.B.)
| |
Collapse
|
10
|
Vincenti B, Paris E, Carnevale M, Palma A, Guerriero E, Borello D, Paolini V, Gallucci F. Saccharides as Particulate Matter Tracers of Biomass Burning: A Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:4387. [PMID: 35410070 PMCID: PMC8998709 DOI: 10.3390/ijerph19074387] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/01/2022] [Accepted: 04/02/2022] [Indexed: 11/22/2022]
Abstract
The adverse effects of atmospheric particulate matter (PM) on health and ecosystems, as well as on meteorology and climate change, are well known to the scientific community. It is therefore undeniable that a good understanding of the sources of PM is crucial for effective control of emissions and to protect public health. One of the major contributions to atmospheric PM is biomass burning, a practice used both in agriculture and home heating, which can be traced and identified by analyzing sugars emitted from the combustion of cellulose and hemicellulose that make up biomass. In this review comparing almost 200 selected articles, we highlight the most recent studies that broaden such category of tracers, covering research publications on residential wood combustions, open-fire or combustion chamber burnings and ambient PM in different regions of Asia, America and Europe. The purpose of the present work is to collect data in the literature that indicate a direct correspondence between biomass burning and saccharides emitted into the atmosphere with regard to distinguishing common sugars attributed to biomass burning from those that have co-causes of issue. In this paper, we provide a list of 24 compounds, including those most commonly recognized as biomass burning tracers (i.e., levoglucosan, mannosan and galactosan), from which it emerges that monosaccharide anhydrides, sugar alcohols and primary sugars have been widely reported as organic tracers for biomass combustion, although it has also been shown that emissions of these compounds depend not only on combustion characteristics and equipment but also on fuel type, combustion quality and weather conditions. Although it appears that it is currently not possible to define a single compound as a universal indicator of biomass combustion, this review provides a valuable tool for the collection of information in the literature and identifies analytes that can lead to the determination of patterns for the distribution between PM generated by biomass combustion.
Collapse
Affiliation(s)
- Beatrice Vincenti
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Enrico Paris
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Monica Carnevale
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Adriano Palma
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| | - Ettore Guerriero
- National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), Via Salaria km 29,300, 00015 Monterotondo, Italy; (E.G.); (V.P.)
| | - Domenico Borello
- Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy;
| | - Valerio Paolini
- National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), Via Salaria km 29,300, 00015 Monterotondo, Italy; (E.G.); (V.P.)
| | - Francesco Gallucci
- Council for Agricultural Research and Economics (CREA), Center of Engineering and Agro-Food Processing, Via della Pascolare 16, 00015 Monterotondo, Italy; (B.V.); (E.P.); (M.C.); (F.G.)
| |
Collapse
|
11
|
Rana J, Luna-Gutiérrez P, Haque SE, Ignacio Nazif-Muñoz J, Mitra DK, Oulhote Y. Associations between household air pollution and early child development among children aged 36-59 months in Bangladesh. J Epidemiol Community Health 2022; 76:667-676. [PMID: 35332101 PMCID: PMC9209676 DOI: 10.1136/jech-2021-217554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 03/11/2022] [Indexed: 11/15/2022]
Abstract
Background Household air pollution (HAP) from solid fuel use (SFU) for cooking may impact child health in low-resources countries. This study examined the associations between HAP and early childhood development (ECD) outcomes among children under 5 years of age in Bangladesh and explored potential effect modification by sex and urbanicity. Methods The study sample consisted of 9395 children aged 36–59 months in the households from the Bangladesh Multiple Indicator Cluster Survey 2019. SFU and levels of exposure to SFU (unexposed, moderately exposed and highly exposed) were used as proxies of HAP exposure. We estimated the covariate-adjusted prevalence ratios (aPRs) and 95% CIs for the associations between HAP and ECD outcomes using multilevel mixed-effects Poisson regression models with a robust variance estimator. Results 81.4% of children were exposed to SFU, and the prevalence of developmental delay (in Early Childhood Development Index) was 25.3%. Children exposed to SFU were 1.47 times more likely to have developmental delays (95% CI: 1.25, 1.73; p<0.001) compared with children with no SFU exposure. SFU was significantly associated with developmental delay in socioemotional (aPR: 1.17; 95% CI: 1.01, 1.36; p=0.035) and learning-cognitive (aPR: 1.90; 95% CI: 1.39, 2.60; p<0.001) domains. Similarly, children moderately exposed and highly exposed to HAP had higher prevalence of developmental delays than unexposed children. We did not observe effect modification by sex or urbanicity. Conclusion Public health policies should promote the use of clean cooking fuels and cookstoves to reduce the high burden of HAP exposure in low-resource countries for helping younger children to meet their developmental milestones.
Collapse
Affiliation(s)
- Juwel Rana
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada .,Department of Public Health, School of Health and Life Sciences, North South University, Dhaka, Bangladesh.,Research and Innovation, South Asian Institute for Social Transformation, Dhaka, Bangladesh
| | | | - Syed Emdadul Haque
- UChicago Research Bangladesh, The University of Chicago, Chicago, Illinois, USA
| | - José Ignacio Nazif-Muñoz
- Programmes d'études et de recherche en toxicomanie, Faculté de Médecine et des Sciences de la Santé, Universite de Sherbrooke, Sherbrooke, Quebec, Canada.,Department of Environmental Health, T. H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts, USA
| | - Dipak Kumar Mitra
- Department of Public Health, School of Health and Life Sciences, North South University, Dhaka, Bangladesh
| | - Youssef Oulhote
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| |
Collapse
|
12
|
Boomhower SR, Long CM, Li W, Manidis TD, Bhatia A, Goodman JE. A review and analysis of personal and ambient PM 2.5 measurements: Implications for epidemiology studies. ENVIRONMENTAL RESEARCH 2022; 204:112019. [PMID: 34534524 DOI: 10.1016/j.envres.2021.112019] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 08/19/2021] [Accepted: 09/04/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND In epidemiology studies, ambient measurements of PM2.5 are often used as surrogates for personal exposures. However, it is unclear the degree to which ambient PM2.5 reflects personal exposures. OBJECTIVE In order to examine potential sources of bias in epidemiology studies, we conducted a review and meta-analysis of studies to determine the extent to which short-term measurements of ambient PM2.5 levels are related to short-term measurements of personal PM2.5 levels. METHODS We conducted a literature search of studies reporting both personal and ambient measurements of PM2.5 published in the last 10 years (2009-2019) and incorporated studies published prior to 2009 from reviews. RESULTS Seventy-one studies were identified. Based on 17 studies reporting slopes, a meta-analysis revealed an overall slope of 0.56 μg/m3 (95% CI: [0.39, 0.73]) personal PM2.5 per μg/m3 increase in ambient PM2.5. Slopes for summer months were higher (slope = 0.73, 95% CI: [0.64, 0.81]) than for winter (slope = 0.46, 95% CI: [0.36, 0.57]). Based on 44 studies reporting correlations, we calculated an overall personal-ambient PM2.5 correlation of 0.63 (95% CI: [0.55, 0.71]). Correlations were stronger in studies conducted in Canada (r = 0.86, 95% CI: [0.67, 0.94]) compared to the USA (r = 0.60, 95% CI: [0.49, 0.70]) and China (r = 0.60, 95% CI: [0.46, 0.71]). Correlations also were stronger in urban areas (r = 0.53, 95% CI: [0.43, 0.62]) vs. suburban areas (r = 0.36, 95% CI: [0.21, 0.49]). SIGNIFICANCE Our results suggest a large degree of variability in the personal-ambient PM2.5 association and the potential for exposure misclassification and measurement error in PM2.5 epidemiology studies.
Collapse
Affiliation(s)
- Steven R Boomhower
- Gradient, One Beacon Street, Boston, MA, 02108, USA; Harvard Division of Continuing Education, Harvard University, Cambridge, MA, 02138, USA
| | | | - Wenchao Li
- Gradient, One Beacon Street, Boston, MA, 02108, USA
| | | | | | | |
Collapse
|
13
|
Kanagasabai T, Xie W, Yan L, Zhao L, Carter E, Guo D, Daskalopoulou SS, Chan Q, Elliott P, Ezzati M, Yang X, Xie G, Kelly F, Wu Y, Baumgartner J. Household Air Pollution and Blood Pressure, Vascular Damage, and Subclinical Indicators of Cardiovascular Disease in Older Chinese Adults. Am J Hypertens 2022; 35:121-131. [PMID: 34505873 PMCID: PMC8807175 DOI: 10.1093/ajh/hpab141] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/09/2021] [Accepted: 09/09/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Limited data suggest that household air pollution from cooking and heating with solid fuel (i.e., coal and biomass) stoves may contribute to the development of hypertension and vascular damage. METHODS Using mixed-effects regression models, we investigated the associations of household air pollution with blood pressure (BP) and vascular function in 753 adults (ages 40-79 years) from 3 diverse provinces in China. We conducted repeated measures of participants' household fuel use, personal exposure to fine particulate air pollution (PM2.5), BP, brachial-femoral pulse wave velocity (bfPWV), and augmentation index. Ultrasound images of the carotid arteries were obtained to assess intima-media thickness (CIMT) and plaques. Covariate information on sociodemographics, health behaviors, 24-h urinary sodium, and blood lipids was also obtained. RESULTS Average estimated yearly personal exposure to PM2.5 was 97.5 µg/m3 (SD: 79.2; range: 3.5-1241), and 65% of participants cooked with solid fuel. In multivariable models, current solid fuel use was associated with higher systolic (2.4 mm Hg, 95% CI: -0.4, 4.9) and diastolic BP (1.4 mm Hg, 95% CI: -0.1, 3.0) and greater total area of plaques (1.7 mm2, 95% CI: -6.5, 9.8) compared with exclusive use of electricity or gas stoves. A 1 - ln(µg/m3) increase in PM2.5 exposure was associated with higher systolic (1.5 mm Hg, 95% CI: 0.2, 2.7) and diastolic BP (1.0 mm Hg, 95% CI: 0.4, 1.7) and with greater CIMT (0.02 mm, 95% CI: 0.00, 0.04) and total area of plaques (4.7 mm2, 95% CI: -2.0, 11.5). We did not find associations with arterial stiffness, except for a lower bfPWV (-1.5 m/s, 95% CI: -3.0, -0.0) among users of solid fuel heaters. CONCLUSIONS These findings add to limited evidence that household air pollution is associated with higher BP and with greater CIMT and total plaque area.
Collapse
Affiliation(s)
- Thirumagal Kanagasabai
- Institute for Health and Social Policy, and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Li Yan
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Liancheng Zhao
- Fu Wai Hospital and Cardiovascular Institute, Chinese Academy of Medical Sciences, Beijing, China
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado, USA
| | - Dongshuang Guo
- Department of Cardiology,Yuxian Hospital, Yuxian, Shanxi, China
| | - Stella S Daskalopoulou
- Department of Medicine, Division of Internal Medicine and Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Majid Ezzati
- Department of Epidemiology and Biostatistics, and MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Xudong Yang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Gaoqiang Xie
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Frank Kelly
- Environmental Research Group, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Yangfeng Wu
- Peking University Clinical Research Institute, Peking University Health Science Center, Beijing, China
| | - Jill Baumgartner
- Institute for Health and Social Policy, and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
14
|
Airborne bacterial community associated with fine particulate matter (PM2.5) under different air quality indices in Temuco city, southern Chile. Arch Microbiol 2022; 204:148. [PMID: 35061108 PMCID: PMC8776980 DOI: 10.1007/s00203-021-02740-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 11/02/2022]
|
15
|
Zhang H, Xia Y, Cao L, Chang Q, Zhao Y. Associations between long term exposures to outdoor air pollution and indoor solid fuel use and depression in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 302:113982. [PMID: 34700082 DOI: 10.1016/j.jenvman.2021.113982] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 10/12/2021] [Accepted: 10/18/2021] [Indexed: 06/13/2023]
Abstract
Depression is one of the most common mental disorders. Effects of air pollution from outdoor and indoor on depression were inconsistent. We assessed 30,139 participants from Northeast China to explore the associations between long term exposures of outdoor and indoor solid fuel use and depressive symptoms. Multiple logistic regressions models as well as multiplicative interaction and additive interaction analysis were used. Outdoor exposures to air pollutants of particulate matter (with an aerodynamic diameter <2.5 μm, [PM2.5], odds ratio [OR] = 1.98 per standard deviation [SD], 95% confidence interval [CI]: 1.78, 2.19; with an aerodynamic diameter <10 μm, [PM10], OR = 1.83, 95% CI:1.68, 2.00), sulfur dioxide (SO2, OR = 1.42, 95% CI: 1.33, 1.52), and nitrogen dioxide (NO2, OR = 1.62, 95% CI: 1.49, 1.76) were significantly associated with higher occurrence of depressive symptoms. A significant linear trend for increased occurrence of depressive symptoms was observed in participants using both solid fuels for cooking and heating (P = 0.04). Indoor air pollution exposures from solid fuel use for heating (OR = 1.16, 95%CI: 1.00, 1.35) and high cooking frequency (OR = 1.17, 95%CI: 1.00, 1.37) were significantly associated with increased occurrence of depressive symptoms. We observed significant interactions of indoor solid fuel use and outdoor air pollution exposures on depressive symptoms (indoor fuel use for cooking and SO2, P value = 0.04; solid fuel use for heating and NO2, P value = 0.02). Solid fuel use for cooking weakened the associations between SO2(relative excess risk due to interaction [RERI] = -1.37, 95% CI: -1.88, -0.86) and depressive symptoms. Solid fuel use for heating weakened the associations between NO2 (RERI = -1.91, 95% CI: -2.55, -1.27) and depressive symptoms. Compared with individual associations, antagonistic interactions of outdoor air pollution and indoor solid fuel use on depressive symptoms might exist. Our findings contribute to better understandings for the associations between air pollution and depressive symptoms, which might be useful for developing effective strategies for depression prevention and air pollution control.
Collapse
Affiliation(s)
- Hehua Zhang
- Clinical Research Center, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang City, Liaoning Province, 110004, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang, Liaoning Province, 110004, China
| | - Limin Cao
- The Third Central Hospital of Tianjin, Hedong District, Jintang Road, No. 83, Tianjin, 300170, China
| | - Qing Chang
- Clinical Research Center, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang City, Liaoning Province, 110004, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Heping District, Sanhao Street, No. 36, Shenyang, Liaoning Province, 110004, China.
| |
Collapse
|
16
|
Li X, Clark S, Floess E, Baumgartner J, Bond T, Carter E. Personal exposure to PM 2.5 of indoor and outdoor origin in two neighboring Chinese communities with contrasting household fuel use patterns. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 800:149421. [PMID: 34388646 DOI: 10.1016/j.scitotenv.2021.149421] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/25/2021] [Accepted: 07/29/2021] [Indexed: 05/03/2023]
Abstract
The Chinese government is replacing high-polluting, household coal heating stoves with electricity- and natural gas-powered heaters to improve ambient air quality. The evaluation of the intervention impact on outdoor PM2.5 and personal exposure in community level are in their initial stages. We compared outdoor air pollution and personal exposure in two neighboring communities (~2 km) in northern China with contrasting household fuel use patterns: one where residents primarily used coal for cooking and heating ("coal village") and one where natural gas was the dominant fuel ("gas village"). We collected 24-h outdoor gravimetric PM2.5 samples in each village and concurrently measured 48-h integrated exposures among 71 participants from 41 and 30 households in the coal and gas villages, respectively. PM2.5 samples were analyzed for mass and chemical composition. Daily outdoor PM2.5 concentrations in the coal village (mean ± standard deviation: 109 ± 41 μg/m3) were, on average, 1.3 ± 0.2 times higher than in the gas village (88 ± 38 μg/m3). However, personal PM2.5 exposures were lower in the coal village (116 ± 121 μg/m3 versus 156 ± 106 μg/m3). PM2.5 species that can serve as tracers for residential coal combustion (e.g., S, Se, Zn, Pb, etc.) and dust (Al, Ca, Mg, Fe, Si and Ti) were higher in the coal village, and the proportion of personal PM2.5 of outdoor origin in the coal village was nearly 2 times higher than the gas village. Our results suggest that ambient PM2.5 and its chemical composition can vary at relatively small spatial scales and may reflect community-level differences in the household energy use. However, personal PM2.5 exposures may not mirror between-village differences in outdoor air pollution if only PM2.5 mass is evaluated. Individual chemical composition of PM2.5 exposure can provide important insight in future studies on the effectiveness of source-targeted air quality interventions.
Collapse
Affiliation(s)
- Xiaoying Li
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80521, USA; Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, QC H3A 0G4, Canada
| | - Sierra Clark
- Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, QC H3A 0G4, Canada; Institute for Health and Social Policy, McGill University, Montreal, QC H3A 0G4, Canada; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1NY, UK
| | - Emily Floess
- Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jill Baumgartner
- Department of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, QC H3A 0G4, Canada; Institute for Health and Social Policy, McGill University, Montreal, QC H3A 0G4, Canada
| | - Tami Bond
- Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO 80521, USA
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80521, USA.
| |
Collapse
|
17
|
Lai A, Lee M, Carter E, Chan Q, Elliott P, Ezzati M, Kelly F, Yan L, Wu Y, Yang X, Zhao L, Baumgartner J, Schauer JJ. Chemical Investigation of Household Solid Fuel Use and Outdoor Air Pollution Contributions to Personal PM 2.5 Exposures. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15969-15979. [PMID: 34817986 PMCID: PMC8655976 DOI: 10.1021/acs.est.1c01368] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 11/10/2021] [Accepted: 11/10/2021] [Indexed: 06/13/2023]
Abstract
In communities with household solid fuel use, transitioning to clean stoves/fuels often results in only moderate reductions in fine particulate matter (PM2.5) exposures; the chemical composition of those exposures may help explain why. We collected personal exposure (men and women) and outdoor PM2.5 samples in villages in three Chinese provinces (Shanxi, Beijing, and Guangxi) and measured chemical components, including water-soluble organic carbon (WSOC), ions, elements, and organic tracers. Source contributions from chemical mass balance modeling (biomass burning, coal combustion, vehicles, dust, and secondary inorganic aerosol) were similar between outdoor and personal PM2.5 samples. Principal component analysis of organic and inorganic components identified analogous sources, including a regional ambient source. Chemical components of PM2.5 exposures did not differ significantly by gender. Participants using coal had higher personal/outdoor (P/O) ratios of coal combustion tracers (picene, sulfate, As, and Pb) than those not using coal, but no such trend was observed for biomass burning tracers (levoglucosan, K+, WSOC). Picene and most levoglucosan P/O ratios exceeded 1 even among participants not using coal and biomass, respectively, indicating substantial indirect exposure to solid fuel emissions from other homes. Contributions of community-level emissions to exposures suggest that meaningful exposure reductions will likely require extensive fuel use changes within communities.
Collapse
Affiliation(s)
- Alexandra Lai
- Environmental
Chemistry and Technology Program, University
of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Martha Lee
- Department
of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - Ellison Carter
- Department
of Civil and Environmental Engineering, Colorado State University, Fort
Collins, Colorado 80523, United States
| | - Queenie Chan
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Paul Elliott
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Majid Ezzati
- MRC
Centre for Environment and Health, Department of Epidemiology, Biostatics,
and Occupational Health, School of Public Health, Imperial College London, London W2 1PG, U.K.
| | - Frank Kelly
- Department
of Analytical, Environmental, and Forensic Sciences, Kings College London, London SE1 9NH, U.K.
| | - Li Yan
- Department
of Analytical, Environmental, and Forensic Sciences, Kings College London, London SE1 9NH, U.K.
| | - Yangfeng Wu
- Clinical
Research Institute, Peking University, Beijing 100191, China
| | - Xudong Yang
- Department
of Building Science, Tsinghua University, Beijing 100084, China
| | - Liancheng Zhao
- Fuwai
Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical
College, Beijing 100037, China
| | - Jill Baumgartner
- Department
of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec H3A 1A3, Canada
- Institute
for Health and Social Policy, McGill University, Montreal, Quebec H3A 1A3, Canada
| | - James J. Schauer
- Environmental
Chemistry and Technology Program, University
of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Wisconsin
State Laboratory of Hygiene, University
of Wisconsin-Madison, Madison, Wisconsin 53718, United States
| |
Collapse
|
18
|
Ye Z, Wang B, Mu G, Zhou Y, Qiu W, Yang S, Wang X, Zhang Z, Chen W. Short-term effects of real-time individual fine particulate matter exposure on lung function: a panel study in Zhuhai, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:65140-65149. [PMID: 34231152 DOI: 10.1007/s11356-021-15246-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/28/2021] [Indexed: 06/13/2023]
Abstract
Fine particulate matter (PM2.5) is still the primary air pollutant in most Chinese cities and its adverse effects on lung function have been widely reported. However, short-term effects of individual exposure to PM2.5 on pulmonary expiration flow indices remain largely unknown. In this study, we examined the short-term effects of real-time individual exposure to PM2.5 on lung function in a panel of 115 healthy adults. We measured individual real-time PM2.5 exposure and lung function. Environmental PM2.5 concentrations in the same period were collected from the nearest monitoring station. Generalized linear model was used to assess the effects of individual PM2.5 exposure on lung function after adjusting for potential confounders. Individual PM2.5 exposure ranged from 18.5 to 42.4 μg/m3 with fluctuations over time and ambient PM2.5 concentrations presented a moderate trend of fluctuation at the same day. Except forced expiratory volume in 1 s (FEV1) decline related to 2-h moving average PM2.5 exposure, no significant associations between individual PM2.5 exposure and other volume indices including forced vital capacity (FVC) and FEV1/FVC ratio were observed. The adverse effects of individual PM2.5 exposure on pulmonary expiration flow indices including peak expiratory flow (PEF), maximal mid-expiratory flow (MMF) and forced expiratory flow at 50%, and 75% of vital capacity (FEF50% and FEF75%) were observed to be strongest at 2 moving average hours and could last for 24 h. Stratified analysis showed greater and longer effects among participants who were aged over 40 years, males, or smokers. These findings suggested that individual PM2.5 exposure was significantly associated with altered lung function, especially with pulmonary expiration flow indices decline, which was strongest at 2 moving average hours and could last for 24 h.
Collapse
Affiliation(s)
- Zi Ye
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Bin Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Ge Mu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Yun Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Weihong Qiu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Shijie Yang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Xing Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Zhuang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
| |
Collapse
|
19
|
Martinez-Soto A, Avendaño Vera CC, Boso A, Hofflinger A, Shupler M. Energy poverty influences urban outdoor air pollution levels during COVID-19 lockdown in south-central Chile. ENERGY POLICY 2021; 158:112571. [PMID: 34511701 PMCID: PMC8418915 DOI: 10.1016/j.enpol.2021.112571] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/19/2021] [Accepted: 08/31/2021] [Indexed: 06/13/2023]
Abstract
The effect of COVID-19 lockdowns on ambient air pollution levels in urban south-central Chile, where outdoor air pollution primarily originates indoors from wood burning for heating, may differ from trends in cities where transportation and industrial emission sources dominate. This quasi-experimental study compared hourly fine (PM2.5) and coarse (PM10) particulate matter measurements from six air monitors (three beta attenuation monitors; three low-cost sensors) in commercial and low/middle-income residential areas of Temuco, Chile between 2019 and 2020. The potential impact of varying annual meterological conditions on air quality was also assessed. During COVID-19 lockdown, average monthly ambient PM2.5 concentrations in a commercial and middle-income residential neighborhood of Temuco were up to 50% higher (from 12 to 18 μg/m3) and 59% higher (from 22 to 35 μg/m3) than 2019 levels, respectively. Conversely, PM2.5 levels decreased by up to 52% (from 43 to 21 μg/m3) in low-income areas. The fine fraction of PM10 in April 2020 was 48% higher than in April 2017-2019 (from 50% to 74%) in a commercial area. These changes did not appear to result from meterological differences between years. During COVID-19 lockdown, higher outdoor PM2.5 pollution from wood heating existed in more affluent areas of Temuco, while PM2.5 concentrations declined among poorer households refraining from wood heating. To reduce air pollution and energy poverty in south-central Chile, affordability of clean heating fuels (e.g. electricity) should be a policy priority.
Collapse
Affiliation(s)
- Aner Martinez-Soto
- Department of Civil Engineering, Faculty of Engineering and Science, Universidad de La Frontera, Temuco, Chile
| | - Constanza C Avendaño Vera
- Department of Civil Engineering, Faculty of Engineering and Science, Universidad de La Frontera, Temuco, Chile
| | - Alex Boso
- Núcleo en Ciencias Sociales y Humanidades, Butamallín Research Center for Global Change, Universidad de La Frontera, Temuco, Chile
| | - Alvaro Hofflinger
- Núcleo en Ciencias Sociales y Humanidades, Butamallín Research Center for Global Change, Universidad de La Frontera, Temuco, Chile
| | - Matthew Shupler
- Department of Public Health, Policy and Systems, University of Liverpool, UK
| |
Collapse
|
20
|
Men Y, Li J, Liu X, Li Y, Jiang K, Luo Z, Xiong R, Cheng H, Tao S, Shen G. Contributions of internal emissions to peaks and incremental indoor PM 2.5 in rural coal use households. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 288:117753. [PMID: 34261028 DOI: 10.1016/j.envpol.2021.117753] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 06/23/2021] [Accepted: 07/06/2021] [Indexed: 06/13/2023]
Abstract
Indoor air quality is critically important to the human as people spend most time indoors. Indoor PM2.5 is related to the outdoor levels, but more directly influenced by internal sources. Severe household air pollution from solid fuel use has been recognized as one major risk for human health especailly in rural area, however, the issue is significantly overlooked in most national air quality controls and intervention policies. Here, by using low-cost sensors, indoor PM2.5 in rural homes burning coals was monitored for ~4 months and analyzed for its temporal dynamics, distributions, relationship with outdoor PM2.5, and quantitative contributions of internal sources. A bimodal distribution of indoor PM2.5 was identified and the bimodal characteristic was more significant at the finer time resolution. The bimodal distribution maxima were corresponding to the emissions from strong internal sources and the influence of outdoor PM2.5, respectively. Indoor PM2.5 was found to be correlated with the outdoor PM2.5, even though indoor coal combustion for heating was thought to be predominant source of indoor PM2.5. The indoor-outdoor relationship differed significantly between the heating and non-heating seasons. Impacts of typical indoor sources like cooking, heating associated with coal use, and smoking were quantitatively analyzed based on the highly time-resolved PM2.5. Estimated contribution of outdoor PM2.5 to the indoor PM2.5 was ~48% during the non-heating period, but decreased to about 32% during the heating period. The contribution of indoor heating burning coals comprised up to 47% of the indoor PM2.5 during the heating period, while the other indoor sources contributed to ~20%. The study, based on a relatively long-term timely resolved PM2.5 data from a large number of rural households, provided informative results on temporal dynamics of indoor PM2.5 and quantitative contributions of internal sources, promoting scientific understanding on sources and impacts of household air pollution.
Collapse
Affiliation(s)
- Yatai Men
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Jianpeng Li
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Xinlei Liu
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Yaojie Li
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Ke Jiang
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Zhihan Luo
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Rui Xiong
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Hefa Cheng
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Shu Tao
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Guofeng Shen
- Key Lab for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
| |
Collapse
|
21
|
On the Water-Soluble Organic Matter in Inhalable Air Particles: Why Should Outdoor Experience Motivate Indoor Studies? APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11219917] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The current understanding of water-soluble organic aerosol (OA) composition, sources, transformations, and effects is still limited to outdoor scenarios. However, the OA is also an important component of particulate matter indoors, whose complexity impairs a full structural and molecular identification. The current limited knowledge on indoor OA, and particularly on its water-soluble organic matter (WSOM) fraction is the basis of this feature paper. Inspired by studies on outdoor OA, this paper discusses and prioritizes issues related to indoor water-soluble OA and their effects on human health, providing a basis for future research in the field. The following three main topics are addressed: (1) what is known about the origin, mass contribution, and health effects of WSOM in outdoor air particles; (2) the current state-of-the-art on the WSOM in indoor air particles, the main challenges and opportunities for its chemical characterization and cytotoxicity evaluation; and (3) why the aerosol WSOM should be considered in future indoor air quality studies. While challenging, studies on the WSOM fraction in air particles are highly necessary to fully understand its origin, fate, toxicity, and long-term risks indoors.
Collapse
|
22
|
Lai A, Baumgartner J, Schauer JJ, Rudich Y, Pardo M. Cytotoxicity and chemical composition of women's personal PM 2.5 exposures from rural China. ENVIRONMENTAL SCIENCE: ATMOSPHERES 2021; 1:359-371. [PMID: 34604754 PMCID: PMC8459644 DOI: 10.1039/d1ea00022e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/27/2021] [Indexed: 12/24/2022]
Abstract
Personal exposure PM samples aid in determining the sources and chemical composition of real-world exposures, particularly in settings with household air pollution. However, their use in toxicological research is limited, despite uncertainty regarding health effects in these settings and evidence of differential toxicity among PM2.5 sources and components. This study used women's PM2.5 exposure samples collected using personal exposure monitoring in rural villages in three Chinese provinces (Beijing, Shanxi, and Sichuan) during summer and winter. Water-soluble organic carbon, ions, elements, and organic tracers (e.g. levoglucosan and polycyclic aromatic hydrocarbons [PAHs]) were quantified in water and organic PM2.5 extracts. Human lung epithelial cells (A549) were exposed to the extracts. Cell death, reactive oxygen species (ROS), and gene expression were measured. Biomass burning contributions were higher in Sichuan samples than in Beijing or Shanxi. Some PM characteristics (total PAHs and coal combustion source contributions) and biological effects of organic extract exposures (cell death, ROS, and cytokine gene expression) shared a common trend of higher levels and effects in winter than in summer for Shanxi and Beijing but no seasonal differences in Sichuan. Modulation of phase I/AhR-related genes (cyp1a1 and cyp1b1) and phase II/oxidative stress-related genes (HO-1, SOD1/2, NQO-1, and catalase) was either low or insignificant, without clear trends between samples. No significant cell death or ROS production was observed for water extract treatments among all sites and seasons, even at possible higher concentrations tested. These results support organic components, particularly PAHs, as essential drivers of biological effects, which is consistent with some other evidence from ambient PM2.5. Direct measurement with personal samplers captures the chemical complexity of PM2.5 exposures better than fixed monitors. To investigate biological effects, lung cells were exposed to extracts of exposure PM2.5 samples.![]()
Collapse
Affiliation(s)
- Alexandra Lai
- Department of Earth and Planetary Sciences, Weizmann Institute of Science Rehovot Israel
| | - Jill Baumgartner
- Institute for Health and Social Policy, Department of Epidemiology, Biostatistics, and Occupational Health, McGill University Montreal Quebec Canada
| | - James J Schauer
- Environmental Chemistry & Technology Program, University of Wisconsin-Madison Madison WI USA
| | - Yinon Rudich
- Department of Earth and Planetary Sciences, Weizmann Institute of Science Rehovot Israel
| | - Michal Pardo
- Department of Earth and Planetary Sciences, Weizmann Institute of Science Rehovot Israel
| |
Collapse
|
23
|
Yang YY, Fan L, Wang J, Zhu YD, Li X, Wang XQ, Yan X, Li L, Zhang YJ, Yang WJ, Yao XY, Wang XL. Characterization and exposure assessment of household fine particulate matter pollution in China. INDOOR AIR 2021; 31:1391-1401. [PMID: 33876854 DOI: 10.1111/ina.12843] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 06/12/2023]
Abstract
Household fine particulate matter (PM2.5 ) pollution greatly impacts residents' health. To explore the current national situation of household PM2.5 pollution in China, a study was conducted based on literature published from 1998 to 2018. After extracting data from the literature in conformity with the requirements, the nationwide household-weighted mean concentration of household PM2.5 (HPL) was calculated. Subgroup analyses of spatial, geographic, and temporal differences were also done. The estimated overall HPL in China was 132.2 ± 117.7 μg/m3 . HPL in the rural area (164.3 ± 104.5 μg/m3 ) was higher than that in the urban area (123.9 ± 122.3 μg/m3 ). For HPLs of indoor sampling sites, the kitchen was the highest, followed by the bedroom and living room. There were significant differences of geographic distributions. The HPLs in the South were higher than the North in four seasons. The inhaled dose of household PM2.5 among school-age children differed from provinces with the highest dose up to 5.9 μg/(kg·d). Countermeasures should be carried out to reduce indoor pollution and safeguard health urgently.
Collapse
Affiliation(s)
- Yu-Yan Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Fan
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiao Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuan-Duo Zhu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xu Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xin-Qi Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xu Yan
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Li Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yu-Jing Zhang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wen-Jing Yang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiao-Yuan Yao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xian-Liang Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
24
|
Association between household air pollution and child mortality in Myanmar using a multilevel mixed-effects Poisson regression with robust variance. Sci Rep 2021; 11:12983. [PMID: 34155250 PMCID: PMC8217172 DOI: 10.1038/s41598-021-92193-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 06/02/2021] [Indexed: 12/25/2022] Open
Abstract
Household air pollution (HAP) from solid fuel use (SFU) for cooking is a major public health threat for women and children in low and middle-income countries. This study investigated the associations between HAP and neonatal, infant, and under-five child mortality in Myanmar. The study consisted of 3249 sample of under-five children in the households from the first Myanmar Demographic and Health Survey 2016. Fuel types and levels of exposure to SFU (no, moderate and high) were proxies for HAP. We estimated covariate-adjusted relative risks (aRR) of neonatal, infant, and under-five child mortality with 95% confidence intervals, accounting for the survey design. The prevalence of SFU was 79.0%. The neonatal, infant, and under-five child mortality rates were 26, 45, and 49 per 1000 live births, respectively. The risks of infant (aRR 2.02; 95% CI 1.01-4.05; p-value = 0.048) and under-five mortality (aRR 2.16; 95% CI 1.07-4.36; p-value = 0.031), but not neonatal mortality, were higher among children from households with SFU compared to children from households using clean fuel. Likewise, children highly exposed to HAP had higher risks of mortality than unexposed children. HAP increases the risks of infant and under-five child mortality in Myanmar, which could be reduced by increasing access to clean cookstoves and fuels.
Collapse
|
25
|
Cole-Hunter T, Dhingra R, Fedak KM, Good N, L'Orange C, Luckasen G, Mehaffy J, Walker E, Wilson A, Balmes J, Brook RD, Clark ML, Devlin RB, Volckens J, Peel JL. Short-term differences in cardiac function following controlled exposure to cookstove air pollution: The subclinical tests on volunteers exposed to smoke (STOVES) study. ENVIRONMENT INTERNATIONAL 2021; 146:106254. [PMID: 33221594 PMCID: PMC7775898 DOI: 10.1016/j.envint.2020.106254] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 10/09/2020] [Accepted: 10/27/2020] [Indexed: 05/24/2023]
Abstract
BACKGROUND Exposure to household air pollution from solid fuel combustion for cooking and heating is an important risk factor for premature death and disability worldwide. Current evidence supports an association of ambient air pollution with cardiovascular disease but is limited for household air pollution and for cardiac function. Controlled exposure studies can complement evidence provided by field studies. OBJECTIVES To investigate effects of short-term, controlled exposures to emissions from five cookstoves on measures of cardiac function. METHODS Forty-eight healthy adults (46% female; 20-36 years) participated in six, 2-h exposures ('treatments'), including emissions from five cookstoves and a filtered-air control. Target fine particulate matter (PM2.5) exposure-concentrations per treatment were: control, 0 µg/m3; liquefied petroleum gas, 10 µg/m3; gasifier, 35 µg/m3; fan rocket, 100 µg/m3; rocket elbow, 250 µg/m3; and three stone fire, 500 µg/m3. Participants were treated in a set (pre-randomized) sequence as groups of 4 to minimize order bias and time-varying confounders. Heart rate variability (HRV) and cardiac repolarization metrics were calculated as 5-min means immediately and at 3 h following treatment, for analysis in linear mixed-effects models comparing cookstove to control. RESULTS Short-term differences in SDNN (standard deviation of duration of all NN intervals) and VLF (very-low frequency power) existed for several cookstoves compared to control. While all cookstoves compared to control followed a similar trend for SDNN, the greatest effect was seen immediately following three stone fire (β = -0.13 ms {%}; 95% confidence interval = -0.22, -0.03%), which reversed in direction at 3 h (0.03%; -0.06, 0.13%). VLF results were similar in direction and timing to SDNN; however, other HRV or cardiac repolarization results were not similar to those for SDNN. DISCUSSION We observed some evidence of short-term, effects on HRV immediately following cookstove treatments compared to control. Our results suggest that cookstoves with lower PM2.5 emissions are potentially capable of affecting cardiac function, similar to stoves emitting higher PM2.5 emissions.
Collapse
Affiliation(s)
- Tom Cole-Hunter
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Centre for Air Pollution, Energy, and Health Research, University of New South Wales, Sydney, NSW, Australia; International Laboratory for Air Quality and Health, Institute of Health and Biomedical Innovation, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Section of Environmental Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, University of North Carolina, NC, USA; Environmental Public Health Division, United States Environmental Protection Agency, Chapel Hill, NC, USA
| | - Kristen M Fedak
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Nicholas Good
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Christian L'Orange
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | | | - John Mehaffy
- Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Ethan Walker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - John Balmes
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Robert D Brook
- Division of Cardiovascular Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Robert B Devlin
- Environmental Public Health Division, United States Environmental Protection Agency, Chapel Hill, NC, USA
| | - John Volckens
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| |
Collapse
|
26
|
Othman M, Latif MT, Jamhari AA, Abd Hamid HH, Uning R, Khan MF, Mohd Nadzir MS, Sahani M, Abdul Wahab MI, Chan KM. Spatial distribution of fine and coarse particulate matter during a southwest monsoon in Peninsular Malaysia. CHEMOSPHERE 2021; 262:127767. [PMID: 32763576 DOI: 10.1016/j.chemosphere.2020.127767] [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] [Received: 05/05/2020] [Revised: 07/14/2020] [Accepted: 07/19/2020] [Indexed: 06/11/2023]
Abstract
This study aimed to determine the spatial distribution of PM2.5 and PM10 collected in four regions (North, Central, South and East Coast) of Peninsular Malaysia during the southwest monsoon. Concurrent measurements of PM2.5 and PM10 were performed using a high volume sampler (HVS) for 24 h (August to September 2018) collecting a total of 104 samples. All samples were then analysed for water soluble inorganic ions (WSII) using ion chromatography, trace metals using inductively coupled plasma-mass spectroscopy (ICP-MS) and polycyclic aromatic hydrocarbon (PAHs) using gas chromatography-mass spectroscopy (GC-MS). The results showed that the highest average PM2.5 concentration during the sampling campaign was in the North region (33.2 ± 5.3 μg m-3) while for PM10 the highest was in the Central region (38.6 ± 7.70 μg m-3). WSII recorded contributions of 22% for PM2.5 and 20% for PM10 mass, with SO42- the most abundant species with average concentrations of 1.83 ± 0.42 μg m-3 (PM2.5) and 2.19 ± 0.27 μg m-3 (PM10). Using a Positive Matrix Factorization (PMF) model, soil fertilizer (23%) was identified as the major source of PM2.5 while industrial activity (25%) was identified as the major source of PM10. Overall, the studied metals had hazard quotients (HQ) value of <1 indicating a very low risk of non-carcinogenic elements while the highest excess lifetime cancer risk (ELCR) was recorded for Cr VI in the South region with values of 8.4E-06 (PM2.5) and 6.6E-05 (PM10). The incremental lifetime cancer risk (ILCR) calculated from the PAH concentrations was within the acceptable range for all regions.
Collapse
Affiliation(s)
- Murnira Othman
- Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
| | - Mohd Talib Latif
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Anas Ahmad Jamhari
- Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Haris Hafizal Abd Hamid
- Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Royston Uning
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Md Firoz Khan
- Department of Chemistry, Faculty of Science, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Mohd Shahrul Mohd Nadzir
- Department of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Mazrura Sahani
- Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Muhammad Ikram Abdul Wahab
- Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| | - Kok Meng Chan
- Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
| |
Collapse
|
27
|
Li N, Xu C, Liu Z, Li N, Chartier R, Chang J, Wang Q, Wu Y, Li Y, Xu D. Determinants of personal exposure to fine particulate matter in the retired adults - Results of a panel study in two megacities, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:114989. [PMID: 32563807 DOI: 10.1016/j.envpol.2020.114989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 06/05/2020] [Accepted: 06/05/2020] [Indexed: 06/11/2023]
Abstract
This study aimed to investigate the relationship between outdoor, indoor, and personal PM2.5 exposure in the retired adults and explore the effects of potential determinants in two Chinese megacities. A longitudinal panel study was conducted in Nanjing (NJ) and Beijing (BJ), China, and thirty-three retired non-smoking adults aged 43-86 years were recruited in each city. Repeated measurements of outdoor-indoor-personal PM2.5 concentrations were measured for five consecutive 24-h periods during both heating and non-heating seasons using real-time and gravimetric methods. Time-activity and household characteristics were recorded. Mixed-effects models were applied to analyze the determinants of personal PM2.5 exposure. In total, 558 complete sets of collocated 24-h outdoor-indoor-personal PM2.5 concentrations were collected. The median 24-h personal PM2.5 exposure concentrations ranged from 43 to 79 μg/m3 across cities and seasons, which were significantly greater than their corresponding indoor levels (ranging from 36 to 68 μg/m3, p < 0.001), but significantly lower than outdoor levels (ranging from 43 to 95 μg/m3, p < 0.001). Indoor and outdoor PM2.5 concentrations were the strongest determinants of personal exposures in both cities and seasons, with RM2 ranging from 0.814 to 0.915 for indoor and from 0.698 to 0.844 for outdoor PM2.5 concentrations, respectively. The personal-outdoor regression slopes varied widely among seasons, with a pronounced effect in BJ (NHS: 0.618 ± 0.042; HS: 0.834 ± 0.023). Ventilation status, indoor PM2.5 sources, personal characteristics, and meteorological factors, were also found to influence personal exposure levels. The city and season-specific models developed here are able to account for 89%-93% of the variance in personal PM2.5 exposure. A LOOCV analysis showed an R2 (RMSE) of 0.80-0.90 (0.21-0.36), while a 10-fold CV analysis demonstrated a R2 (RMSE) of 0.83-0.90 (0.20-0.35). By incorporating potentially significant determinants of personal exposure, this modeling approach can improve the accuracy of personal PM2.5 exposure assessment in epidemiologic studies.
Collapse
Affiliation(s)
- Na Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Chunyu Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Zhe Liu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Ning Li
- Nanjing Jiangning Center for Disease Control and Prevention, Nanjing, 211100, China
| | - Ryan Chartier
- RTI International, Research Triangle Park, NC 27709, United States
| | - Junrui Chang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Qin Wang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Yaxi Wu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Yunpu Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
| | - Dongqun Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
| |
Collapse
|
28
|
Zhang T, Liu P, Sun X, Zhang C, Wang M, Xu J, Pu S, Huang L. Application of an advanced spatiotemporal model for PM 2.5 prediction in Jiangsu Province, China. CHEMOSPHERE 2020; 246:125563. [PMID: 31884232 DOI: 10.1016/j.chemosphere.2019.125563] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 11/26/2019] [Accepted: 12/05/2019] [Indexed: 06/10/2023]
Abstract
Either long- or short-term of fine particle (PM2.5) exposure is associated with adverse health effects especially for children. Primary school students spend much time in schools whereas PM2.5 prediction for such fine-scale places remains a demanding task, let alone a combined prediction with high temporal resolution. The study aimed to estimate PM2.5 levels of different time scales for primary schools in Jiangsu Province, China. Hourly PM2.5 measurements within the academic year (Sept. 2016-June 2017) were collected from 72 routine monitoring sites. Together with PM2.5 emission inventory and dozens of geographic variables, an advanced spatiotemporal land use regression (LUR) model was employed to estimate PM2.5 concentrations of biweekly, seasonal and academic year levels in Jiangsu Province at 2457 primary school locations. 10-fold cross-validation verified high prediction ability with squared correlations RCV2 of 0.72 for temporal and 0.71 for spatial changes. PM2.5 levels in primary schools in Nanjing and Nantong were >10% higher than that of the corresponding cities while pollution levels in primary schools in Xuzhou were >20% lower. For 10 out of the 13 cities in Jiangsu, PM2.5 levels for primary schools surpassed 70 μg/m3 in winter. Schools in Lianyungang, Zhenjiang and Huai'an suffered the most. This study demonstrated the fine-scale prediction ability of the novel spatiotemporal LUR model, as well as the potential and necessity to apply it in epidemiological studies. It also verified the emergency of pollution control for primary schools from cities such as Lianyungang and Zhenjiang.
Collapse
Affiliation(s)
- Ting Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing, 210023, China; Key Laboratory of Surficial Geochemistry, Ministry of Education, School of the Earth Science and Engineering, Nanjing University, 163 Xianlin Ave, Qixia, Nanjing, 210023, China
| | - Penghui Liu
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing, 210023, China
| | - Xue Sun
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing, 210023, China
| | - Can Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing, 210023, China
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States; Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, United States
| | - Jia Xu
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, United States
| | - Shengyan Pu
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, 1 Dongsanlu, Erxianqiao, Chengdu, 610059, China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, 163 Xianlin Avenue, Qixia, Nanjing, 210023, China.
| |
Collapse
|
29
|
Zhang X, Geng Y, Shao S, Song X, Fan M, Yang L, Song J. Decoupling PM 2.5 emissions and economic growth in China over 1998-2016: A regional investment perspective. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 714:136841. [PMID: 31991271 DOI: 10.1016/j.scitotenv.2020.136841] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 01/19/2020] [Accepted: 01/20/2020] [Indexed: 05/12/2023]
Abstract
It is crucial to decouple economic growth from environmental pollution in China. This study aims to evaluate China's decoupling level between PM2.5 emissions and economic growth from a regional investment perspective. Using the panel data of 30 Chinese provinces for the period of 1998-2016, this study combines decomposition analysis with decoupling analysis to identify the roles of conventional factors and three novel investment factors in the mitigation and decoupling of PM2.5 emissions in China and its four sub-regions. The results show that China's PM2.5 emissions were weakly decoupled to economic growth during the period of 1998-2016, as well as in China's four sub-regions. At the national level, investment scale played the dominant role while investment structure had a marginal effect in mitigating the decoupling level. In contrast, emission intensity was the largest driver in promoting the decoupling effect. At the regional level, emission intensity and investment efficiency accelerated the regional decoupling level, but the coupling effect from investment scale in the western region far exceeded those in other three sub-regions. At the provincial level, the investment structure of Inner Mongolia and investment scales of Xinjiang and Inner Mongolia had the greatest impacts on PM2.5 emission growth. Finally, several policy recommendations are raised for China to mitigate its PM2.5 emissions.
Collapse
Affiliation(s)
- Xi Zhang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yong Geng
- School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200240, China; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Shuai Shao
- School of Urban and Regional Science, Institute of Finance and Economics Research, Shanghai University of Finance and Economics, Shanghai 200433, China.
| | - Xiaoqian Song
- China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Meiting Fan
- School of Urban and Regional Science, Institute of Finance and Economics Research, Shanghai University of Finance and Economics, Shanghai 200433, China
| | - Lili Yang
- School of International Economics and Trade, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China
| | - Jiekun Song
- School of Economics and Management, China University of Petroleum, Qingdao 266580, China
| |
Collapse
|
30
|
Roper C, Perez A, Barrett D, Hystad P, Massey Simonich SL, Tanguay RL. Workflow for Comparison of Chemical and Biological Metrics of Filter Collected PM 2.5. ATMOSPHERIC ENVIRONMENT (OXFORD, ENGLAND : 1994) 2020; 226:117379. [PMID: 32313426 PMCID: PMC7170255 DOI: 10.1016/j.atmosenv.2020.117379] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
There is limited understanding of adverse health effect associations with chemical constituents of fine particulate matter (PM2.5) as well as the underlying mechanisms. We outlined a workflow to assess metrics, beyond concentration, using household and personal PM2.5 filter samples collected in India as a proof of concept for future large-scale studies. Oxidative potential, chemical composition (polycyclic aromatic hydrocarbons and elements), and bioactivity (developmental exposures in zebrafish) were determined. Significant differences were observed in all metrics between personal and household PM2.5 samples. This work established methods to characterize multiple metrics of PM2.5 to ultimately support the identification of more health-relevant metrics than concentration.
Collapse
Affiliation(s)
- Courtney Roper
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, 97331
| | - Allison Perez
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, 97331
| | - Damien Barrett
- Department of Microbiology, Oregon State University, Corvallis, OR 97331
| | - Perry Hystad
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR 97331
| | - Staci L. Massey Simonich
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, 97331
- Department of Chemistry, Oregon State University, Corvallis, OR 97331
| | - Robyn L. Tanguay
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, 97331
| |
Collapse
|
31
|
Lai AM, Clark S, Carter E, Shan M, Ni K, Yang X, Baumgartner J, Schauer JJ. Impacts of stove/fuel use and outdoor air pollution on chemical composition of household particulate matter. INDOOR AIR 2020; 30:294-305. [PMID: 31880849 DOI: 10.1111/ina.12636] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 12/15/2019] [Accepted: 12/19/2019] [Indexed: 06/10/2023]
Abstract
Biomass combustion for cooking and heating releases particulate matter (PM2.5 ) that contributes to household air pollution. Fuel and stove types affect the chemical composition of household PM, as does infiltration of outdoor PM. Characterization of these impacts can inform future exposure assessments and epidemiologic studies, but is currently limited. In this study, we measured chemical components of PM2.5 (water-soluble organic matter [WSOM], ions, black carbon, elements, organic tracers) in rural Chinese households using traditional biomass stoves, semi-gasifier stoves with pelletized biomass, and/or non-biomass stoves. We distinguished households using one stove type (traditional, semi-gasifier, or LPG/electric) from those using multiple stoves/fuels. WSOM concentrations were higher in households using only semi-gasifier or traditional stoves (31%-33%) than in those with exclusive LPG/electric stove (13%) or mixed stove use (12%-22%). Inorganic ions comprised 14% of PM in exclusive LPG/electric households, compared to 1%-5% of PM in households using biomass. Total PAH content was much higher in households that used traditional stoves (0.8-2.8 mg/g PM) compared to those that did not (0.1-0.3 mg/g PM). Source apportionment revealed that biomass burning comprised 27%-84% of PM2.5 in households using biomass. In all samples, identified outdoor sources (vehicles, dust, coal combustion, secondary aerosol) contributed 10%-20% of household PM2.5 .
Collapse
Affiliation(s)
- Alexandra M Lai
- Environmental Chemistry and Technology Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Sierra Clark
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, CO, USA
| | - Ming Shan
- Department of Building Science, Tsinghua University, Beijing, China
| | - Kun Ni
- Department of Building Science, Tsinghua University, Beijing, China
| | - Xudong Yang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Jill Baumgartner
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, QC, Canada
- Institute for Health and Social Policy, McGill University, Montreal, QC, Canada
| | - James J Schauer
- Environmental Chemistry and Technology Program, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, WI, USA
| |
Collapse
|
32
|
Carbonaceous Aerosol Emitted from Biofuel Household Stove Combustion in South China. ATMOSPHERE 2020. [DOI: 10.3390/atmos11010112] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Near-source measurements of smoke emissions from household stove combustion in a rural area of South China were conducted with 7 typical biomass fuels. Particulate matter samples (both PM10 and PM2.5) were analyzed for their carbonaceous components, including organic and elemental carbon (OC, EC) as well as levoglucosan (molecular tracer of biomass burning), employing thermal-optical and GC-MS analysis. The OC and EC content in PM2.5 and PM10 smoke particles derived from the various types of vegetation showed different patterns with the smallest values observed for straw type fuels. The OC/EC ratios in PM2.5 and PM10 showed an order of straw > hardwood > bamboo > softwood. Mass concentrations of particulate matter emitted from rice straw burning were highest with 12.23 ± 0.87 mg/m3 (PM10) and 9.31 ± 0.81 mg/m3 (PM2.5), while the mass ratios (LG/PM and OC/PM) were lowest among the 7 fuels, indicating that particle emissions from straw burning were higher than those from woody fuels, using similar burning conditions. The levoglucosan emission ratios were rather high and this single most abundant organic species was mainly present in the fine particle mode. Linear correlation analysis showed a strong relationship between levoglucosan and EC emissions.
Collapse
|
33
|
Zhang K, Shang X, Herrmann H, Meng F, Mo Z, Chen J, Lv W. Approaches for identifying PM 2.5 source types and source areas at a remote background site of South China in spring. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 691:1320-1327. [PMID: 31466211 DOI: 10.1016/j.scitotenv.2019.07.178] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 07/11/2019] [Accepted: 07/12/2019] [Indexed: 06/10/2023]
Abstract
The receptor model is an effectively and widely used tool for analyzing the source of PM2.5, and its development and improvement have always been focused and challenged. In this study, approaches of source analysis is applied and compared. The PM2.5 samples were collected in spring of 2015 at a remote background site of Weizhou, South China and were analyzed for water-soluble ions, trace metals, and sugars. The 28 measurement species were introduced into the positive matrix factorization (PMF) and a non-negative matrix factorization (NMF) model for inter-comparison of PM2.5 prediction. Results showed that the NMF model is a more robust tool to identify source types and source apportionment in the case of a small sample size (n = 31). In NMF, four source variants were obtained as dust (15.6%), biomass combustion (11.8%), secondary formation (17.6%), and coal combustion (54.9%), corresponding to four main source areas. These were Southeast Asia, South China Sea, Taiwan Strait, as well as Pearl River Delta, respectively. The areas were distinguished based on hybrid receptor models, potential source contribution function (PSCF) and concentration weighted trajectory (CWT), by introducing the daily loadings of each source factor from NMF method. These model results were highly consistent with categorized chemical characteristics of PM2.5, suggesting that NMF linking with hybrid receptor models provides valuable implications for exploring source types and source areas of PM2.5. Meanwhile, biomass combustion and coal combustion comparably contributed to the high PM2.5 concentrations indicating control strategy in South China in spring.
Collapse
Affiliation(s)
- Kai Zhang
- State Key Laboratory of Environmental Standards and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xiaona Shang
- State Key Laboratory of Environmental Standards and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Hartmut Herrmann
- Leibniz-Institute for Tropospheric Research (TROPOS), Leipzig 04318, Germany
| | - Fan Meng
- State Key Laboratory of Environmental Standards and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Zhaoyu Mo
- Scientific Research Academy of Guangxi Environmental Protection, Nanning 530022, China
| | - Jianhua Chen
- State Key Laboratory of Environmental Standards and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wenli Lv
- State Key Laboratory of Environmental Standards and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| |
Collapse
|
34
|
Baumgartner J, Clark S, Carter E, Lai A, Zhang Y, Shan M, Schauer JJ, Yang X. Effectiveness of a Household Energy Package in Improving Indoor Air Quality and Reducing Personal Exposures in Rural China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:9306-9316. [PMID: 31294968 DOI: 10.1021/acs.est.9b02061] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
We evaluated whether an energy package comprising a low-polluting semigasifier cookstove with chimney, water heater, and pelletized biomass fuel would improve air pollution in China. We measured the stove use, 48-h air pollution exposures (PM2.5, black carbon), and kitchen concentrations (PM2.5, black carbon, carbon monoxide, nitrogen oxides) for 205 women, along with ambient PM2.5. Over half (n = 125) were offered the energy package after baseline assessment, forming "treated" and "untreated" groups, and we repeated the measurements up to 3 occasions over 18-months. Kitchen carbon monoxide did not change, and nitrogen oxides increased in summer but decreased in winter for both groups. Summer geometric mean exposures and kitchen concentrations of PM2.5 and black carbon decreased by 24-67% in women who received the energy package, but greater reductions (48-70%) were observed in untreated homes, likely due to increased use of gas stoves. After adjusting for differences in outdoor PM2.5, receiving the energy package was associated with decreased winter exposures to PM2.5 (-46%; 95% CI: -70, -2) and black carbon (-55%; -74, -25) and the summer increases were smaller (PM2.5: 8%; -22, 51 and black carbon: 37%; -12, 113). However, PM2.5 exposures remained 1.5-3 times higher than those of health-based international air pollution targets.
Collapse
Affiliation(s)
- Jill Baumgartner
- Institute for Health and Social Policy , McGill University , Montreal , Quebec H3A 1A3 , Canada
- Department of Epidemiology, Biostatistics, & Occupational Health , McGill University , Montreal , Quebec H3A 1A2 , Canada
- Institute on the Environment , University of Minnesota , Minneapolis , Minnesota 55108 , United States
| | - Sierra Clark
- Department of Epidemiology, Biostatistics, & Occupational Health , McGill University , Montreal , Quebec H3A 1A2 , Canada
| | - Ellison Carter
- Institute on the Environment , University of Minnesota , Minneapolis , Minnesota 55108 , United States
- Department of Civil & Environmental Engineering , Colorado State University , Fort Collins , Colorado 80521 , United States
| | - Alexandra Lai
- Environmental Chemistry and Technology , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
| | - Yuanxun Zhang
- College of Resources and Environment , University of the Chinese Academy of Sciences , Beijing 100049 , P. R. China
| | - Ming Shan
- Department of Building Science , Tsinghua University , Beijing 100084 , P. R. China
| | - James J Schauer
- Environmental Chemistry and Technology , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
| | - Xudong Yang
- Department of Building Science , Tsinghua University , Beijing 100084 , P. R. China
| |
Collapse
|
35
|
Li S, Yang M, Carter E, Schauer JJ, Yang X, Ezzati M, Goldberg MS, Baumgartner J. Exposure–Response Associations of Household Air Pollution and Buccal Cell Telomere Length in Women Using Biomass Stoves. ENVIRONMENTAL HEALTH PERSPECTIVES 2019; 127:87004. [PMID: 31393791 PMCID: PMC6792380 DOI: 10.1289/ehp4041] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
BACKGROUND Telomere shortening is associated with early mortality and chronic disease. Recent studies indicate that environmental exposures, including urban and traffic-related air pollution, may shorten telomeres. Associations between exposure to household air pollution from solid fuel stoves and telomere length have not been evaluated. METHODS Among 137 rural Chinese women using biomass stoves ([Formula: see text] of age), we measured 48-h personal exposures to fine particulate matter [PM [Formula: see text] in aerodynamic diameter ([Formula: see text])] and black carbon and collected oral DNA on up to three occasions over a period of 2.5 y. Relative telomere length (RTL) was quantified using a modified real-time polymerase chain reaction protocol. Mixed effects regression models were used to investigate the exposure–response associations between household air pollution and RTL, adjusting for key sociodemographic, behavioral, and environmental covariates. RESULTS Women's daily exposures to air pollution ranged from [Formula: see text] for [Formula: see text] ([Formula: see text]) and [Formula: see text] for black carbon ([Formula: see text]). Natural cubic spline models indicated a mostly linear association between increased exposure to air pollution and shorter RTL, except at very high concentrations where there were few observations. We thus modeled the linear associations with all observations, excluding the highest 3% and 5% of exposures. In covariate-adjusted models, an interquartile range (IQR) increase in exposure to black carbon ([Formula: see text]) was associated with shorter RTL [all observations: [Formula: see text] (95% CI: [Formula: see text], [Formula: see text]); excluding highest 5% exposures: [Formula: see text] (95% CI: [Formula: see text], [Formula: see text])]. Further adjustment for outdoor temperature brought the estimates closer to zero [all observations: [Formula: see text] (95% CI: [Formula: see text], 0.06); excluding highest 5% exposures: [Formula: see text] (95% CI: [Formula: see text], [Formula: see text])]. Models with [Formula: see text] as the exposure metric followed a similar pattern. CONCLUSION Telomere shortening, which is a biomarker of biological aging and chronic disease, may be associated with exposure to air pollution in settings where household biomass stoves are commonly used. https://doi.org/10.1289/EHP4041.
Collapse
Affiliation(s)
- Sabrina Li
- Institute for Health and Social Policy, McGill University, Montreal, Quebec, Canada
| | - Ming Yang
- Cancer Research Center, Shandong University, Jinan, China
- Shandong Cancer Hospital and Institute, Jinan, China
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, Colorado, USA
- Institute on the Environment, University of Minnesota, Minneapolis, Minnesota, USA
| | - James J. Schauer
- Department of Civil and Environmental Engineering, University of Wisconsin, Madison, Wisconsin, USA
| | - Xudong Yang
- Department of Building Science, Tsinghua University, Beijing, China
| | - Majid Ezzati
- School of Public Health, Imperial College London, London, United Kingdom
- Medical Research Council and Health Protection Agency (MRC-PHE) Centre for Environment and Health, Imperial College London, London, United Kingdom
| | - Mark S. Goldberg
- Department of Medicine, McGill University Health Center, Montreal, Quebec, Canada
- Research Institute, Centre for Outcomes Research and Evaluation, McGill University Health Centre, Montreal, Quebec, Canada
| | - Jill Baumgartner
- Institute for Health and Social Policy, McGill University, Montreal, Quebec, Canada
- Institute on the Environment, University of Minnesota, Minneapolis, Minnesota, USA
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
36
|
Yang Y, Li J, Zhu G, Yuan Q. Spatio⁻Temporal Relationship and Evolvement of Socioeconomic Factors and PM 2.5 in China During 1998⁻2016. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E1149. [PMID: 30935066 PMCID: PMC6480332 DOI: 10.3390/ijerph16071149] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 02/28/2019] [Accepted: 03/28/2019] [Indexed: 01/03/2023]
Abstract
A comprehensive understanding of the relationships between PM2.5 concentration and socioeconomic factors provides new insight into environmental management decision-making for sustainable development. In order to identify the contributions of socioeconomic development to PM2.5, their spatial interaction and temporal variation of long time series are analyzed in this paper. Unary linear regression method, Spearman's rank and bivariate Moran's I methods were used to investigate spatio⁻temporal variations and relationships of socioeconomic factors and PM2.5 concentration in 31 provinces of China during the period of 1998⁻2016. Spatial spillover effect of PM2.5 concentration and the impact of socioeconomic factors on PM2.5 concentration were analyzed by spatial lag model. Results demonstrated that PM2.5 concentration in most provinces of China increased rapidly along with the increase of socioeconomic factors, while PM2.5 presented a slow growth trend in Southwest China and a descending trend in Northwest China along with the increase of socioeconomic factors. Long time series analysis revealed the relationships between PM2.5 concentration and four socioeconomic factors. PM2.5 concentration was significantly positive spatial correlated with GDP per capita, industrial added value and private car ownership, while urban population density appeared a negative spatial correlation since 2006. GDP per capita and industrial added values were the most important factors to increase PM2.5, followed by private car ownership and urban population density. The findings of the study revealed spatial spillover effects of PM2.5 between different provinces, and can provide a theoretical basis for sustainable development and environmental protection.
Collapse
Affiliation(s)
- Yi Yang
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
| | - Jie Li
- School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China.
| | - Guobin Zhu
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
| | - Qiangqiang Yuan
- School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China.
- Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China.
| |
Collapse
|
37
|
Brehmer C, Lai A, Clark S, Shan M, Ni K, Ezzati M, Yang X, Baumgartner J, Schauer JJ, Carter E. The Oxidative Potential of Personal and Household PM 2.5 in a Rural Setting in Southwestern China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2019; 53:2788-2798. [PMID: 30696246 DOI: 10.1021/acs.est.8b05120] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The chemical constituents of fine particulate matter (PM2.5) vary by source and capacity to participate in redox reactions in the body, which produce cytotoxic reactive oxygen species (ROS). Knowledge of the sources and components of PM2.5 may provide insight into the adverse health effects associated with the inhalation of PM2.5 mass. We collected 48 h household and personal PM2.5 exposure measurements in the summer months among 50 women/household pairs in a rural area of southwestern China where daily household biomass burning is common. PM2.5 mass was analyzed for ions, trace metals, black carbon, and water-soluble organic matter, as well as ROS-generating capability (oxidative potential) by one cellular and one acellular assay. Crustal enrichment factors and a principal component analysis identified the major sources of PM2.5 as dust, biomass burning, and secondary sulfate. Elements associated with the secondary sulfate source (As, Mo, Zn) had the strongest correlation with increased cellular oxidative potential (Spearman r: 0.74, 0.68, and 0.64). Chemical markers of biomass burning (water-soluble potassium and water-soluble organic matter) had negligible oxidative potential, suggesting that these assays may not be useful as health-relevant exposure metrics in populations that are exposed to high levels of smoke from household biomass burning.
Collapse
Affiliation(s)
- Collin Brehmer
- Environmental Chemistry and Technology Program , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
| | - Alexandra Lai
- Environmental Chemistry and Technology Program , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
| | - Sierra Clark
- Institute for Health and Social Policy and Department of Epidemiology, Biostatistics, and Occupational Health , McGill University , Montreal , Quebec H3A 1A3 , Canada
| | - Ming Shan
- Department of Building Science , Tsinghua University , Beijing 100084 , China
| | - Kun Ni
- Department of Building Science , Tsinghua University , Beijing 100084 , China
| | - Majid Ezzati
- MRC-PHE Centre for Environment and Health, Department of Epidemiology, Biostatics, and Occupational Health, School of Public Health , Imperial College London , London W2 1PG , U.K
| | - Xudong Yang
- Department of Building Science , Tsinghua University , Beijing 100084 , China
| | - Jill Baumgartner
- Institute for Health and Social Policy and Department of Epidemiology, Biostatistics, and Occupational Health , McGill University , Montreal , Quebec H3A 1A3 , Canada
| | - James J Schauer
- Environmental Chemistry and Technology Program , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States
- Wisconsin State Laboratory of Hygiene , University of Wisconsin-Madison , Madison , Wisconsin 53718 , United States
| | - Ellison Carter
- Department of Civil and Environmental Engineering , Colorado State University , Fort Collins , Colorado 80523 , United States
| |
Collapse
|
38
|
Pillarisetti A, Carter E, Rajkumar S, Young BN, Benka-Coker ML, Peel JL, Johnson M, Clark ML. Measuring personal exposure to fine particulate matter (PM 2.5) among rural Honduran women: A field evaluation of the Ultrasonic Personal Aerosol Sampler (UPAS). ENVIRONMENT INTERNATIONAL 2019; 123:50-53. [PMID: 30496981 PMCID: PMC6331229 DOI: 10.1016/j.envint.2018.11.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 10/31/2018] [Accepted: 11/06/2018] [Indexed: 05/03/2023]
Abstract
We measured 24-hour average personal exposure to fine particulate matter (PM2.5) among rural Honduran women using a lightweight, gravimetric monitor - the Ultrasonic Personal Aerosol Sampler (UPAS). Performance of the UPAS was compared with a commonly used gravimetric pump, cyclone, and filter sampling system. We observed strong agreement and correlation (Spearman ρ = 0.91; PM2.5 concentration range: 19-120 μg/m3) between 43 paired measures, supporting the use of the UPAS as a personal exposure monitor for household air pollution studies.
Collapse
Affiliation(s)
- Ajay Pillarisetti
- Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720, USA.
| | - Ellison Carter
- Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA
| | - Sarah Rajkumar
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681, USA
| | - Bonnie N Young
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681, USA
| | - Megan L Benka-Coker
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681, USA; Department of Health Sciences, Gettysburg College, Gettysburg, PA 17325, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681, USA
| | | | - Maggie L Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523-1681, USA
| |
Collapse
|