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Campler MR, Shen YF, Klüppel LM, Arruda AG. Assessing the impact of a negative air ionization system on particulate matter and gaseous pollutants in the swine farrowing environment. PLoS One 2025; 20:e0316914. [PMID: 39992942 PMCID: PMC11849892 DOI: 10.1371/journal.pone.0316914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 12/18/2024] [Indexed: 02/26/2025] Open
Abstract
Air quality on swine farms has long been a concern for both human and swine health as it has been previously linked with respiratory issues; the main cause being the inhalation of small airborne particulate matter (PM) < 10 μm in diameter. Negative ionizing systems have previously been successfully used to improve air quality in human residential- and commercial buildings as well in agricultural settings. However, less is known about the efficacy of negative ionizing systems in commercial swine farrowing environments. Thus, the objective of this study was to use a swine farrowing environment to evaluate the effects of a negative air ionization system on 1) the quantity of airborne gaseous and particulate matter, and 2) swine health and production parameters. Six farrowing rooms containing 60 sows each were installed with 30 negative ionization systems per room. Three out of six rooms were randomly allocated between active ionization (L-ON) or inactive ionization (L-OFF) between farrowing rounds (N = 4). For each round, measurements of PM2.5, PM10, Ammonia (NH3), hydrogen sulfide gas (H2S), temperature, and humidity were collected twice a week, in the morning and afternoon at two heights, pig level (61 cm) and human level (152 cm). Pig performance metrics (parity, number of piglets born, number of live piglets born, piglet mortality, fostered piglets, and number of weaned pigs) were collected at the end of each batch. Comparisons between L-ON and L-OFF treatments were conducted by averaging room and day specific measurements for all days when rotating rooms shared contrasting treatments. Each room-specific L-ON treatment was then compared to all other L-OFF rooms using a linear regression model. No statistically significant differences were found between treatments for PM2.5 or PM10 at the pig nor human level. However, numerical reductions in the cumulative increase of PM2.5, and PM10 for L-ON rooms compared to L-OFF rooms were found in 60% of the L-ON rooms. One out of five L-ON rooms showed statistically slower buildup of NH3 concentrations compared to L-OFF rooms (P < 0.01) and 60% of the L-ON rooms had significantly slower buildup of H2S concentrations compared to L-OFF rooms (P < 0.01). No effect on production metrics were found between treatments. In conclusion, indications of improved air quality were found in this study, but given the complexity of these types of assessments, further work is needed to conclude the efficacy of negative ionization systems in commercial farrowing systems.
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Affiliation(s)
- Magnus R. Campler
- Department of Veterinary Preventive Medicine, The College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, United States of America
| | - Yi-Fan Shen
- Department of Veterinary Preventive Medicine, The College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, United States of America
| | - Leonardo M. Klüppel
- Department of Management and Human Resources, Fisher College of Business, The Ohio State University, Columbus, Ohio, United States of America
| | - Andréia G. Arruda
- Department of Veterinary Preventive Medicine, The College of Veterinary Medicine, The Ohio State University, Columbus, Ohio, United States of America
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Xie Y, Gao Y. The health impact of PM 2.5 and O 3 in Beijing modified by infiltration factors from 2014 to 2022. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:1143. [PMID: 39480553 DOI: 10.1007/s10661-024-13332-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 10/25/2024] [Indexed: 11/02/2024]
Abstract
PM2.5 and O3 are significant threats to the health of residents and modern residents spend more than 80% of their time indoors, so quantifying indoor exposure of residents has a positive influence on formulating policies and improving health indicators. Analysis of monitoring data shows a consistent decrease in the annual average concentration of outdoor PM2.5 in Beijing from 90.1 to 30.4 μg/m3, and the equivalent human exposure concentration also declined from 55.2 to 18.6 μg/m3 modified by infiltration factors from 2014 to 2022, while during the peak season, the average value of O3-8 h concentration in Beijing has consistently remained between 159.3 and 225.3 μg/m3; the equivalent human exposure concentration remained between 64.7 and 92.3 μg/m3 modified by infiltration factors from 2014 to 2023. The equivalent exposure concentration is calculated by weighting the concentration of indoor and outdoor pollutants, the proportion of indoor and outdoor activity time of the population, and the permeability coefficient of outdoor pollutants into the room, so as to quantify the actual concentration of pollutants exposed to the human body in a certain time. Previous studies have primarily focused on the impact of annual changes in pollutant concentrations on health estimates, often neglecting indoor concentrations and behavior patterns. This limitation should be addressed. Therefore, this study utilized equivalent human exposure concentration and AirQ + , the authoritative software released by the World Health Organization (WHO), to evaluate quantitatively the impact of PM2.5 and O3 on the health of Beijing residents by combining pollutant concentration, annual population, and mortality of various diseases and other indicators to enhance the credibility of the study. The number of deaths related to PM2.5 has decreased from 28,182 people in 2014 to 10,250 people in 2022 (age ≥ 30). The number of premature deaths in 2022 was only 36.4 percent of that in 2014 and was decreasing by 1992 per year. The number of deaths related to O3 varies between 550 and 3358 people. Lowering PM2.5 and O3 concentrations can effectively reduce natural premature death as well as cardiovascular and respiratory diseases caused by air pollution. The government should persist in enhancing the regulation of PM2.5 and accord significance to the oversight of O3. Concurrently, there is a need to reinforce the cooperative regulation addressing both PM2.5 and O3.
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Affiliation(s)
- Yangyang Xie
- Department of Building Environment and Energy Engineering, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
| | - Yan Gao
- Department of Building Environment and Energy Engineering, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing, 100083, China
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Singh A, Bartington SE, Abreu P, Anderson R, Cowell N, Leach FC. Impacts of daily household activities on indoor particulate and NO 2 concentrations; a case study from oxford UK. Heliyon 2024; 10:e34210. [PMID: 39165984 PMCID: PMC11333897 DOI: 10.1016/j.heliyon.2024.e34210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 08/22/2024] Open
Abstract
This study explores indoor air pollutant (PM1, PM2.5 and NO2) concentrations over a 15-week period during the COVID-19 pandemic in a typical suburban household in Oxford, UK. A multi-room intensive monitoring study was conducted in a single dwelling using 10 air quality sensors measuring real-time pollutant concentrations at 10 second intervals to assess temporal and spatial variability in PM1, PM2.5 and NO2 concentrations, identify pollution-prone areas, and investigate the impact of residents' activities on indoor air quality. Significant spatial variations in PM concentrations were observed within the study dwelling, with highest hourly concentrations (769.0 & 300.9 μg m-3 for PM2.5, and PM1, respectively) observed in the upstairs study room, which had poor ventilation. Cooking activities were identified as a major contributor to indoor particulate pollution, with peak concentrations aligning with cooking events. Indoor NO2 levels were typically higher than outdoor levels, particularly in the kitchen where a gas-cooking appliance was used. There was no significant association observed between outdoor and indoor PM concentrations; however, a clear correlation was evident between kitchen PM emissions and indoor levels. Similarly, outdoor NO2 had a limited influence on indoor air quality compared to kitchen activities. Indoor sources were found to dominate for both PM and NO2, with higher Indoor/Outdoor (I/O) ratios observed in the upstairs bedroom and the kitchen. Overall, our findings highlight the contribution of indoor air pollutant sources and domestic activities to indoor air pollution exposure, notably during the COVID-19 pandemic when people were typically spending more time in domestic settings. Our novel findings, which suggest high levels of pollutant concentrations in upstairs (first floor) rooms, underscore the necessity for targeted interventions. These interventions include the implementation of source control measures, effective ventilation strategies and occupant education for behaviour change, all aimed at improving indoor air quality and promoting healthier living environments.
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Affiliation(s)
- Ajit Singh
- Institute of Applied Health Research, University of Birmingham, Edgbaston Park Road, Birmingham, B15 2TT, UK
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston Park Road, Birmingham, B15 2TT, UK
| | - Suzanne E. Bartington
- Institute of Applied Health Research, University of Birmingham, Edgbaston Park Road, Birmingham, B15 2TT, UK
| | - Pedro Abreu
- Oxford City Council, St Aldates Chambers, 109 St Aldates, Oxford, OX1 1DS, UK
| | - Ruth Anderson
- Oxfordshire County Council, County Hall, New Road, Oxford, OX1 1ND, UK
| | - Nicole Cowell
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston Park Road, Birmingham, B15 2TT, UK
- Centre for Environmental Policy, Imperial College London, Weeks Building, 16-18 Prince's Garden, London SW7 1NE, UK
| | - Felix C.P. Leach
- Department for Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK
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Eidem T, Nordgren T, Hernandez M. Bioaerosol Exposures and Respiratory Diseases in Cannabis Workers. Curr Allergy Asthma Rep 2024; 24:395-406. [PMID: 38878249 PMCID: PMC11233357 DOI: 10.1007/s11882-024-01157-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/10/2024] [Indexed: 07/10/2024]
Abstract
PURPOSE OF REVIEW This review investigates occupational inhalation hazards associated with biologically derived airborne particles (bioaerosols) generated in indoor cannabis cultivation and manufacturing facilities. RECENT FINDINGS Indoor cannabis production is growing across the US as are recent reports of respiratory diseases among cannabis workers, including occupational asthma morbidity and mortality. More information is needed to understand how bioaerosol exposure in cannabis facilities impacts worker health and occupational disease risk. Preliminary studies demonstrate a significant fraction of airborne particles in cannabis facilities are comprised of fungal spores, bacteria, and plant material, which may also contain hazardous microbial metabolites and allergens. These bioaerosols may pose pathogenic, allergenic, toxigenic, and pro-inflammatory risks to workers. The absence of multi-level, holistic bioaerosol research in cannabis work environments necessitates further characterization of the potential respiratory hazards and effective risk prevention methods to safeguard occupational health as the cannabis industry continues to expand across the US and beyond.
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Affiliation(s)
- Tess Eidem
- Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder, Boulder, CO, 80309-0428, US.
| | - Tara Nordgren
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523-1601, US
| | - Mark Hernandez
- Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder, Boulder, CO, 80309-0428, US
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Yang J, Lin Z, Shi S. Household air pollution and attributable burden of disease in rural China: A literature review and a modelling study. JOURNAL OF HAZARDOUS MATERIALS 2024; 470:134159. [PMID: 38565018 DOI: 10.1016/j.jhazmat.2024.134159] [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: 11/21/2023] [Revised: 03/07/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024]
Abstract
Household air pollution prevails in rural residences across China, yet a comprehensive nationwide comprehending of pollution levels and the attributable disease burdens remains lacking. This study conducted a systematic review focusing on elucidating the indoor concentrations of prevalent household air pollutants-specifically, PM2.5, PAHs, CO, SO2, and formaldehyde-in rural Chinese households. Subsequently, the premature deaths and economic losses attributable to household air pollution among the rural population of China were quantified through dose-response relationships and the value of statistical life. The findings reveal that rural indoor air pollution levels frequently exceed China's national standards, exhibiting notable spatial disparities. The estimated annual premature mortality attributable to household air pollution in rural China amounts to 966 thousand (95% CI: 714-1226) deaths between 2000 and 2022, representing approximately 22.2% (95% CI: 16.4%-28.1%) of total mortality among rural Chinese residents. Furthermore, the economic toll associated with these premature deaths is estimated at 486 billion CNY (95% CI: 358-616) per annum, constituting 0.92% (95% CI: 0.68%-1.16%) of China's GDP. The findings quantitatively demonstrate the substantial disease burden attributable to household air pollution in rural China, which highlights the pressing imperative for targeted, region-specific interventions to ameliorate this pressing public health concern.
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Affiliation(s)
- Junling Yang
- School of Architecture and Urban Planning, Nanjing University, Nanjing, Jiangsu Province 210093, China
| | - Zhi Lin
- School of Architecture and Urban Planning, Nanjing University, Nanjing, Jiangsu Province 210093, China
| | - Shanshan Shi
- School of Architecture and Urban Planning, Nanjing University, Nanjing, Jiangsu Province 210093, China.
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Song C, Lim CC, Gurmu BL, Kim M, Lee S, Park J, Kim S. Comparison of Personal or Indoor PM 2.5 Exposure Level to That of Outdoor: Over Four Seasons in Selected Urban, Industrial, and Rural Areas of South Korea: (K-IOP Study). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6684. [PMID: 37681824 PMCID: PMC10487920 DOI: 10.3390/ijerph20176684] [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: 07/26/2023] [Revised: 08/20/2023] [Accepted: 08/28/2023] [Indexed: 09/09/2023]
Abstract
This study aimed to compare the distribution of indoor, outdoor, and personal PM2.5 (particulate matter ≤ 2.5 μm) hourly concentrations measured simultaneously among 81 nonsmoking elderly participants (65 years or older) living in urban, industrial, or rural areas over 4 seasons (2 weeks per season) from November 2021 to July 2022). PM2.5 measurements were conducted using low-cost sensors with quality control and quality assurance tests. Seasonal outdoor PM2.5 levels were 16.4 (9.1-29.6) μg/m3, 20.5 (13.0-38.0) μg/m3, 18.2 (10.2-31.8) μg/m3, and 9.5 (3.8-18.7) μg/m3 for fall, winter, spring, and summer, respectively. For indoor PM2.5, the median seasonal range was 5.9-7.5 μg/m3, and the median personal PM2.5 exposure concentration was 8.0-9.4 μg/m3. This study provided seasonal distributions of IO (ratio of indoor to outdoor PM2.5 concentration) and PO (ratio of personal to outdoor PM2.5 concentration) using a total of 94,676 paired data points. The median seasonal IO ranged from 0.30 to 0.51 in fall, winter, and spring; its value of summer was 0.70. The median PO by season and study area were close to 1.0 in summer while it ranged 0.5 to 0.7 in other seasons, statistically significantly lower (p < 0.05) than that in summer. Our study has revealed that the real-world exposure level to PM2.5 among our elderly study participants might be lower than what was initially expected based on the outdoor data for most of the time. Further investigation may need to identify the reasons for the discrepancy, personal behavior patterns, and the effectiveness of any indoor air quality control system.
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Affiliation(s)
- Chiyou Song
- Department of ICT Environmental Health System, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea; (C.S.)
| | - Chris Chaeha Lim
- Department of Community, Environment and Policy, Zuckerman College of Public Health, University of Arizona, Tucson, AZ 85724, USA;
| | - Birhan Legese Gurmu
- Department of Environmental Health Sciences, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea
| | - Mingi Kim
- Department of ICT Environmental Health System, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea; (C.S.)
| | - Sangoon Lee
- Department of ICT Environmental Health System, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea; (C.S.)
| | - Jinsoo Park
- Department of ICT Environmental Health System, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea; (C.S.)
| | - Sungroul Kim
- Department of ICT Environmental Health System, Graduate School, Soonchunhyang University, Asan 31538, Republic of Korea; (C.S.)
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Guo Y, Liu Y, Xiang T, Li J, Lv M, Yan Y, Zhao J, Sun J, Yang X, Liao C, Fu J, Shi J, Qu G, Jiang G. Disposable Polypropylene Face Masks: A Potential Source of Micro/Nanoparticles and Organic Contaminates in Humans. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:5739-5750. [PMID: 36989422 DOI: 10.1021/acs.est.2c06802] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
We have been effectively protected by disposable propylene face masks during the COVID-19 pandemic; however, they may pose health risks due to the release of fine particles and chemicals. We measured micro/nanoparticles and organic chemicals in disposable medical masks, surgical masks, and (K)N95 respirators. In the breathing-simulation experiment, no notable differences were found in the total number of particles among mask types or between breathing intensities. However, when considering subranges, <2.5 μm particles accounted for ∼90% of the total number of micro/nanoparticles. GC-HRMS-based suspect screening tentatively revealed 79 (semi)volatile organic compounds in masks, with 18 being detected in ≥80% of samples and 44 in ≤20% of samples. Three synthetic phenolic antioxidants were quantified, and AO168 reached a median concentration of 2968 ng/g. By screening particles collected from bulk mask fabrics, we detected 18 chemicals, including four commonly detected in masks, suggesting chemical partition between the particles and the fabric fibers and chemical exposure via particle inhalation. These particles and chemicals are believed to originate from raw materials, intentionally and nonintentionally added substances in mask production, and their transformation products. This study highlights the need to study the long-term health risks associated with mask wearing and raises concerns over mask quality control.
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Affiliation(s)
- Yunhe Guo
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yanna Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Tongtong Xiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Junya Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Meilin Lv
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Yuhao Yan
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Zhao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Institute of Environment and Health, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
| | - Jiazheng Sun
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Xiaoxi Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Chunyang Liao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Institute of Environment and Health, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianjie Fu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Institute of Environment and Health, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jianbo Shi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
- Institute of Environment and Health, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guangbo Qu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Institute of Environment and Health, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- Key Laboratory of Environment Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
- Institute of Environment and Health, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310000, China
- Institute of Environment and Health, Jianghan University, Wuhan 430056, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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