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Chen Y, Deng Y, Wu M, Ma P, Pan W, Chen W, Zhao L, Huang X. Impact of pesticides exposure and type 2 diabetes risk: a systematic review and meta-analysis. Endocrine 2025; 87:448-458. [PMID: 39384693 DOI: 10.1007/s12020-024-04067-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2024] [Accepted: 10/03/2024] [Indexed: 10/11/2024]
Abstract
OBJECTIVE We conducted a systematic review and meta-analysis of observational studies that assessed the relationship between pesticides exposure and type 2 diabetes. We also examined the presence of heterogeneity and biases across the available studies. METHODS We conducted a comprehensive literature search of peer-reviewed studies published from 2011 to 2023, without language limitations. A random-effects model was employed to calculate the overall odds ratio (OR) and its corresponding 95% confidence interval (CI). RESULTS We included 19 studies (n = 12 case-control and n = 7 cross-sectional) for a total of 45,813 participants in our analysis. Our findings revealed a notable correlation between pesticide exposure and type 2 diabetes (non-specific definition) when not limiting pesticide types (OR: 1.19, 95% CI: 1.11-1.28). Subgroup analysis identified associations between pyrethroid (OR: 1.17, 95% CI: 1.05-1.30) and type 2 diabetes, as well as between organochlorine (OR: 1.26, 95% CI: 1.11-1.43) and type 2 diabetes. However, no statistically significant association was observed between herbicide exposure and the onset of type 2 diabetes (OR: 1.26, 95% CI: 0.91-1.75). In the elderly group, pesticide exposure significantly heightened the risk of type 2 diabetes (OR: 1.25, 95% CI: 1.14-1.38), with no statistically significant heterogeneity among studies (I2 = 14.2%, p = 0.323). CONCLUSIONS Pesticide (organochlorine and pyrethroid) exposure constitutes a risk factor for type 2 diabetes.
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Affiliation(s)
- Yang Chen
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Yaqin Deng
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Minjia Wu
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Peixuan Ma
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Wen Pan
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Weiqi Chen
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China
| | - Lina Zhao
- School of Public Health, Wuhan University, Wuhan, China
| | - Xiaowei Huang
- Department of Toxicology, School of Public Health, Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, China.
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Liu W, Xing X, Zou Y, Li X, Gao Y, Liu Y, Zhu X, Qi S. Novel insights into PAHs accumulation and multi-method characterization of interaction between groundwater and surface water in middle Yangtze River: Hydrochemistry, isotope hydrology and fractionation effect. THE SCIENCE OF THE TOTAL ENVIRONMENT 2025; 958:178023. [PMID: 39693653 DOI: 10.1016/j.scitotenv.2024.178023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Revised: 12/06/2024] [Accepted: 12/07/2024] [Indexed: 12/20/2024]
Abstract
To meet the challenge of water quality protection and management in the middle Yangtze River and understand the accumulation mechanism of PAHs in aquatic complexity systems, caused by hydro-chemical changes, anthropogenic and geological activities, and intensive surface water-groundwater interaction, a comprehensive study is urgently needed. The study investigated the pollution levels, potential sources, accumulation mechanism, and groundwater- surface water interaction of polycyclic aromatic hydrocarbons (PAHs) in wet and dry seasons of the middle Yangtze River. There was no significant difference of PAHs accumulation between wet and dry seasons of the middle Yangtze River. PAHs occurrence in the middle Yangtze River was dominated by the input of tributary. Phenanthrene and Naphthalene were still the dominant species of PAHs. Coal combustion (CC) and biomass burning (BB) were the major contributor for the PAHs occurrence. However, the CC apportionment concentration increased by 6.18 ng·L-1 from wet to dry season, suggesting higher density of coal consumption in dry season. The potential mechanism of PAHs occurrence was demonstrated by the mantel test and structural equation model (SEM). Results revealed that the pollution of the middle Yangtze River could be mainly affected by primary emission in wet and dry seasons due to the significant positive effect between eutrophication levels and PAHs pollution sources. Meanwhile, the difference in redox conditions could directly affect the fate of pollutants (including the valence state transformation of nitrogen and phosphorus). The stronger interaction of groundwater and surface water in dry season was presented by hydrochemistry and isotope hydrology (δ18O and δ2H). The similar result was also evidenced by fractionation effect of PAHs, because more similar behaviors of characteristic pollutants were observed in dry season. Consequently, PAHs can be considered as an effective geochemical tracer and further expanded their toxic effects through the surface water-groundwater interaction.
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Affiliation(s)
- Weijie Liu
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Xinli Xing
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China.
| | - Yanmin Zou
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Xin Li
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Ying Gao
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Ying Liu
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | | | - Shihua Qi
- Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
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3
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Li R, Pang H, Guo Y, Zhou X, Fu K, Zhang T, Han J, Yang L, Zhou B, Zhou S. Distribution of Polycyclic Aromatic Hydrocarbons and Pesticides in Danjiangkou Reservoir and Evaluation of Ecological Risk. TOXICS 2024; 12:859. [PMID: 39771074 PMCID: PMC11680053 DOI: 10.3390/toxics12120859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 11/16/2024] [Accepted: 11/20/2024] [Indexed: 01/11/2025]
Abstract
The Danjiangkou Reservoir is the largest artificial freshwater lake in Asia. This study investigated the spatiotemporal distribution of pesticides and polycyclic aromatic hydrocarbons (PAHs) in the Danjiangkou Reservoir to assess the ecological and human health risks associated with these pollutants. Twenty-three sampling sites in the Danjiangkou Reservoir each collected 23 surface water samples and 23 sediment samples. These samples were analyzed using gas chromatography-mass spectrometry (GC-MS), combined with risk quotient methods and health risk assessment models. The results indicated that the total concentration of PAHs (ΣPAHs) in the surface water ranged from 64.64 to 868.23 ng/L (average 217.97 ± 184.97 ng/L), and they primarily consisted of low molecular weight PAHs, with the compounds with the highest concentrations being naphthalene (10.43-116.97 ng/L), fluorene (22.74-87.61 ng/L), and phenanthrene (26.54-162.86 ng/L). The total concentration of pesticides in the surface water varied between 2.62 and 72.89 ng/L (average 22.99 ± 18.27 ng/L). In the sediment samples, the ΣPAH concentration ranged from 0.01 to 2.93 ng/g (average 0.69 ± 0.94 ng/g), and these predominantly consisted of high molecular weight PAHs, while pesticide concentrations ranged from non-detectable (nd) to 28.46 ng/g (average 7.99 ± 8.53 ng/g), with higher concentrations of malathion (0.62-9.16 ng/g) and chlorpyrifos (10.01-21.38 ng/g). Through risk assessment, it was found that although the risks posed by PAHs and pesticides to human health are very low, the ecological risk assessment indicated that certain PAHs (such as phenanthrene) and organophosphate pesticides (such as malathion and chlorpyrifos) may pose potential threats to aquatic organisms.
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Affiliation(s)
- Ruiwen Li
- Ecology and Environment Monitoring and Scientific Research Center, Ecology and Environment Administration of Yangtze River Basin, Ministry of Ecology and Environment, Wuhan 430010, China; (R.L.); (Y.G.)
| | - Hao Pang
- School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430074, China; (H.P.); (X.Z.)
| | - Yemin Guo
- Ecology and Environment Monitoring and Scientific Research Center, Ecology and Environment Administration of Yangtze River Basin, Ministry of Ecology and Environment, Wuhan 430010, China; (R.L.); (Y.G.)
| | - Xuan Zhou
- School of Chemistry and Environmental Engineering, Wuhan Institute of Technology, Wuhan 430074, China; (H.P.); (X.Z.)
| | - Kaiyu Fu
- Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (K.F.); (J.H.); (B.Z.)
| | - Taotao Zhang
- School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China;
| | - Jian Han
- Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (K.F.); (J.H.); (B.Z.)
| | - Lihua Yang
- Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (K.F.); (J.H.); (B.Z.)
| | - Bingsheng Zhou
- Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; (K.F.); (J.H.); (B.Z.)
| | - Si Zhou
- Guizhou Institute of Environmental Science and Designing, Guiyang 550081, China
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Han C, Cao H, Tan H, Li X, Yang W. Distribution and community structure of antibiotic resistance genes in the Three Gorges Reservoir Area. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:50952-50966. [PMID: 39103584 DOI: 10.1007/s11356-024-34590-2] [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: 03/19/2024] [Accepted: 07/29/2024] [Indexed: 08/07/2024]
Abstract
Antibiotic resistance genes (ARG) are widespread across various regions. While several studies have investigated the distribution of antibiotic resistance in natural environments, the occurrence and diversity of ARGs in the Three Gorges Reservoir have not been fully elucidated. In this study, we employed metagenomic sequencing techniques to investigate the abundance, diversity, and influencing factors of ARGs in the ecosystem of the Three Gorges Reservoir. A total of 874 ARGs, 20 antibiotic classes, and 6 resistance mechanisms were detected. The dominant ARG is the macB, the dominant antibiotic class is multidrug resistance (MDR), and the dominant resistance mechanism is antibiotic efflux. The microorganisms with the highest contribution to ARGs are Betaproteobacteria and Gammaproteobacteria. In this region, pH and NH4+ concentration were significantly negatively correlated with the relative abundance of most ARGs, while NO3- concentration and TN were significantly positively correlated with the relative abundance of most ARGs. The results indicate that the Three Gorges Reservoir constitutes a significant reservoir of ARGs. By studying the distribution of ARGs in the sediments of the Three Gorges Reservoir Area and the relationship between environmental factors and ARGs, we can more comprehensively understand the pollution status of ARGs in this area, and provide theoretical support for subsequent treatment.
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Affiliation(s)
- Chang Han
- College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210024, China
| | - Huiqun Cao
- Changjiang River Scientific Research Institute, Wuhan, 430010, China
| | - Haoyue Tan
- Changjiang River Scientific Research Institute, Wuhan, 430010, China
| | - Xiaomeng Li
- Changjiang River Scientific Research Institute, Wuhan, 430010, China
| | - Wenjun Yang
- Changjiang River Scientific Research Institute, Wuhan, 430010, China.
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Siddique S, Chaudhry MN, Ahmad SR, Nazir R, Javed R, Hafeez MR, Alraey Y, Sivasamugham LA, Mahmood A. Risk surveillance with spatial distribution of Organochlorine Pesticides (OCPs) from sedimentary samples of Chenab River. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169256. [PMID: 38101629 DOI: 10.1016/j.scitotenv.2023.169256] [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: 08/06/2023] [Revised: 12/04/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
A pioneering study employed a holistic geostatistical approach to predict the spatial variability of a non sampled area in the Chenab River, Pakistan, using kriging interpolation for organochlorine pesticide (OCP)-polluted risk zones. The Present research intended to investigate the carcinogenic and non-carcinogenic human health risks, contamination levels, and spatial variation of OCPs in the Chenab River, Pakistan. The residual OCP content in sediment samples (n = 120) ranged from 0.056 to 32.14 ng/g. DDE and α-HCH were prevalent among all the samples analyzed, with mean concentrations of 15.84 ± 8.02 and 12.45 ± 6.72 ng/g, respectively. The order of magnitude of OCPs in sediment samples was DDTs > α-HCH > chlorothalonil > heptachlor > endosulfan > aldrin > dieldrin. The findings of the single (SPI) and Nemerow (Nel) pollution index of α-HCH, heptachlor, and aldrin depicted the Chenab River as a serious pollution risk zone. The outcomes of the Pearson correlation coefficient analysis represent the positive correlation among all OCPs, revealing the common origin. Distribution trends showed substantially higher (p < 0.05) contents of analyzed OCPs along the downstream zone. With regards to USEPA human health hazard assessment model, the estimated non-carcinogenic (ΣHI) and non-carcinogenic (ΣTCR) risk ranged from 1.1 × 10-5 to 1.0 × 10-1, 4.0 × 10-8 to 3.2 × 10-4 respectively. TCR >10-4 illustrated a substantial cancer health risk posed by α-HCH, heptachlor, aldrin, and dieldrin in the downstream zone. We recommend the urgent cessation of the ongoing discharge of OCPs into the Chenab River, which needs to be highlighted owing to the significant cancer risk to public health to ensure the good health and wellbeings.
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Affiliation(s)
- Sidra Siddique
- College of Earth and Environmental Sciences, University of the Punjab, Lahore, Pakistan
| | - M Nawaz Chaudhry
- Department of Environmental Science and Policy, Faculty of Basic Sciences, Lahore School of Economics, Lahore, Pakistan
| | - Sajid Rashid Ahmad
- College of Earth and Environmental Sciences, University of the Punjab, Lahore, Pakistan
| | - Rabia Nazir
- Applied Chemistry Research Centre, Pakistan Council of Scientific and Industrial Research Laboratories Complex, Lahore, Pakistan
| | - Rimsha Javed
- Department of Environmental Sciences, Government College Women University Sialkot, Pakistan
| | | | - Yasser Alraey
- Department of Clinical Laboratory Sciences, Central Research Laboratory, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Lalita Ambigai Sivasamugham
- Faculty of Health and Life Sciences, INTI International University, Persiaran Perdana BBN, Putra Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
| | - Adeel Mahmood
- Department of Environmental Sciences, Government College Women University Sialkot, Pakistan.
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Yu R, Zhou Y, Xu S, Jing J, Zhang H, Huang Y. Distribution, Transfer, and Health Risk of Organochlorine Pesticides in Soil and Water of the Huangshui River Basin. TOXICS 2023; 11:1024. [PMID: 38133425 PMCID: PMC10747045 DOI: 10.3390/toxics11121024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/10/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023]
Abstract
The potential negative impacts of organochlorine pesticides on the environment and human health continue to receive attention. In order to study the spatial distribution characteristics of organochlorine pesticides in the inland alpine region, researchers collected soil and water samples in the Huangshui River Basin of the Qinghai-Tibetan Plateau and tested them for organochlorine pesticide residues represented by dichlorodiphenyltrichloroethane (DDT) and hexachlorohexane (HCH). The study identified the sources of OCPs by component analysis. We also constructed the LEVEL III model, applicable to the Huangshui River Basin, and used it to study the migration patterns of OCPs in various environmental media. OCPs were detected at low levels in the study area environment. The results of the OCPs source analysis show that there are both historical residuals and new sources in the region. Residual DDTs may originate from the mixture of technical DDTs and dicofol, and HCHs may originate from lindane or technical HCH. DDTs are mainly stored in soil, the input and output pathways are mainly atmospheric advection input and output, and its transport behavior in the environment is mainly air-soil exchange. Carcinogens in the study area pose little threat to people exposed to contaminated soil and contaminated water, but the cancer risk to children is greater than to adults. This study is helpful to managers of regional pesticide management and control.
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Affiliation(s)
- Ruyue Yu
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China; (R.Y.)
| | - Yang Zhou
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China
| | - Shengxian Xu
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China; (R.Y.)
| | - Jing Jing
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China
| | - Hongyan Zhang
- Innovation Center of Pesticide Research, Department of Applied Chemistry, College of Science, China Agricultural University, Beijing 100193, China
| | - Yuanfang Huang
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China; (R.Y.)
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Ohoro CR, Wepener V. Review of scientific literature on available methods of assessing organochlorine pesticides in the environment. Heliyon 2023; 9:e22142. [PMID: 38045185 PMCID: PMC10692828 DOI: 10.1016/j.heliyon.2023.e22142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/21/2023] [Accepted: 11/05/2023] [Indexed: 12/05/2023] Open
Abstract
Organochlorine pesticides (OCPs) are persistent organic pollutants (POPs) widely used in agriculture and industry, causing serious health and ecological consequences upon exposure. This review offers a thorough overview of OCPs analysis emphasizing the necessity of ongoing work to enhance the identification and monitoring of these POPs in environmental and human samples. The benefits and drawbacks of the various OCPs analysis techniques including gas chromatography-mass spectrometry (GC-MS), gas chromatography-electron capture detector (GC-ECD), and liquid chromatography-mass spectrometry (LC-MS) are discussed. Challenges associated with validation and optimization criteria, including accuracy, precision, limit of detection (LOD), and limit of quantitation (LOQ), must be met for a method to be regarded as accurate and reliable. Suitable quality control measures, such as method blanks and procedural blanks, are emphasized. The LOD and LOQ are critical quality control measure for efficient quantification of these compounds, and researchers have explored various techniques for their calculation. Matrix interference, solubility, volatility, and partition coefficient influence OCPs occurrences and are discussed in this review. Validation experiments, as stated by European Commission in document SANTE/11813/2017, showed that the acceptance criteria for method validation of OCP analytes include ≤20 % for high precision, and 70-120 % for recovery. This may ultimately be vital for determining the human health risk effects of exposure to OCP and for formulating sensible environmental and public health regulations.
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Affiliation(s)
- Chinemerem Ruth Ohoro
- Water Research Group, Unit for Environmental Sciences and Management, North-West University, Potchefstroom, 2520, South Africa
| | - Victor Wepener
- Water Research Group, Unit for Environmental Sciences and Management, North-West University, Potchefstroom, 2520, South Africa
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Zhao X, Chen L, Guo W, Lu S. Temporal trends, sources, and ecological risk of residual organochlorine pesticides (OCPs) in sediment core from the Dongping Lake, North China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:103033-103043. [PMID: 37674068 DOI: 10.1007/s11356-023-29676-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/30/2023] [Indexed: 09/08/2023]
Abstract
A sedimentary record of the 19 organochlorine pesticides (OCPs) pollutants from Dongping Lake, north China, is presented in this study. According to the dating of core sediment and OCP content analysis in samples, from 1904 to 2016, the total concentration of OCPs varied from undetectable levels (n.d.) to 33.1 ng/g. The OCP concentration was first detected in the samples of 1938, and then gradually increased to a peak level in 2000 thereafter decreased until 2016. Among the detected OCPs, hexachlorocyclohexanes (HCHs) and dichlorodiphenyltrichloroethanes (DDTs) were the predominant and the most frequently detected contaminants in the core sediment, with concentrations ranging from n.d. to 16.9 ng/g and from n.d. to 8.8 ng/g, respectively. The distribution of OCPs in the sediments was affected by organic carbon concentration, showing a significant positive correlation (r = 0.93, p < 0.001), especially for HCHs (r = 0.98, p < 0.001). The source analysis showed that HCH contamination mainly derived from historical use of technical HCHs, while in recent years, it derived from lindane usage. DDT pollution was attributed to historical use of technical DDTs, as well as the microbial degradation of historic DDT residues. Finally, risk analysis was performed for OCPs in sediment cores based on sediment quality guidelines from the Canadian Council of Ministers of the Environment, showing that DDTs presented a high ecological toxicity risk during the period of 1959-2010.
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Affiliation(s)
- Xin Zhao
- Guangdong Province Urban Water Environment and Water Information Engineering Technology Research Center, Shenzhen, 518011, China
| | - Long Chen
- Shenzhen Research Academy of Environmental Sciences, Shenzhen, 518003, China
| | - Wei Guo
- College of Architecture and Civil Engineering, Beijing University of Technology, Beijing, 100124, China.
| | - Shaoyong Lu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Dayangfang Beiyuan Road, 8#, Chaoyang District, Beijing, 100012, China
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Nag SK, M SA, Sahu SK, Das Sarkar S, Samanta S, Saha K, Bandyopadhyay S. Assessment of environmental and human health risk from pesticide residues in river Gomti, Northern India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:83341-83355. [PMID: 37340160 DOI: 10.1007/s11356-023-28222-4] [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: 09/20/2022] [Accepted: 06/07/2023] [Indexed: 06/22/2023]
Abstract
Rivers get polluted with diverse types of hazardous and toxic substances, pesticides being one of them. The water and sediment of rivers get contaminated with pesticide residues coming through the run-off of vast agricultural fields along the catchment area and also from domestic sewage water. The residues get bio-concentrated and bio-accumulated in different aquatic organisms and animals including fishes along the food chain. Fish, one of the important and chief sources of proteins, are consumed by humans. The presence of toxic substances like pesticides in any food item is undesirable for the fear of health hazards. We have monitored the status of pesticide residue in river Gomti, a tributary of River Ganga that passes through the Uttar Pradesh state of India. Water, sediment, and fish samples collected from the different locations along the river stretch were analyzed for 34 targeted pesticide compounds belonging to organochlorines (OC), organophosphates (OP), and synthetic pyrethroids (SP) groups. In 52% of water, 30% of sediment, and 43% of fish samples residues of OCs were detected while the OPs were present in 33%, 25%, and 39% of samples respectively. However, none of the SPs could be recorded in any sample. The concentrations of the pesticides in water indicate stress conditions to some extent to aquatic life, but based on the human health risk assessment it can be concluded that consumption of fishes from the river contaminated with different OC or OP residues would not pose any direct risk to the consumers.
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Affiliation(s)
- Subir Kumar Nag
- ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India.
| | - Sajina A M
- ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India
| | - Sanjeev Kumar Sahu
- ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India
| | - Soma Das Sarkar
- ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India
| | - Srikanta Samanta
- ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India
| | - Keya Saha
- ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India
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Zhang M, Wang L, Li X, Song L, Luo D, Li Q, Wang Y, Wan Z, Mei S. Individual and mixtures of polychlorinated biphenyls and organochlorine pesticides exposure in relation to metabolic syndrome among Chinese adults. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 877:162935. [PMID: 36934926 DOI: 10.1016/j.scitotenv.2023.162935] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 03/14/2023] [Accepted: 03/14/2023] [Indexed: 05/06/2023]
Abstract
Polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs) are commonly detected in humans due to their persistence and bioaccumulation, and are suspected risk factors for metabolic syndrome (MetS). However, most studies have focused on individual rather than combined exposure. We explored the associations between individual and combined PCBs/OCPs exposure and MetS to better assess the health effects of PCBs and OCPs. This cross-sectional study included 1996 adults from Wuhan, China. A total of 338 participants fulfilled criteria for MetS. Eight PCBs and OCPs were detected in >50 % of the samples. Most of the hexachlorocyclohexanes (HCHs) in the serum were derived from the recent environmental input of lindane, while the high levels of dichlorodiphenyltrichloroethane (DDTs) were mainly due to historical use. Multivariate linear regression analyses revealed that β-HCH, p,p'-dichlorodiphenyldichloroethylene (p,p'-DDE), PCB-52, PCB-153, and PCB-180 were positively correlated with increased odds of MetS. The profiles of the PCBs and OCPs associated with the different components of MetS were distinct. Furthermore, quantile-based g computation (qgcomp) analyses showed that PCB and OCP mixtures were positively associated with the risk of MetS, and p,p'-DDE was the largest contributor to our model. These findings suggest that PCB and OCP concentrations, both individually and as mixtures, are associated with MetS risk. Prospective studies are needed to confirm these results.
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Affiliation(s)
- Mingye Zhang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, China
| | - Limei Wang
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, China
| | - Xiang Li
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Luo
- Shimadzu (China) Co., LTD., Wuhan Wanda Center, No 96 Linjiang Avenue, Wuhan 430060, China
| | - Qiang Li
- Shimadzu (China) Co., LTD., Wuhan Wanda Center, No 96 Linjiang Avenue, Wuhan 430060, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhengce Wan
- Health Management Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Surong Mei
- State Key Laboratory of Environment Health (Incubation), Key Laboratory of Environment and Health, Ministry of Education, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, #13 Hangkong Road, Wuhan, Hubei 430030, China.
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Liu S, Li X, Ding R, Pan Y, Ge X, Ma W. Transport model simulation prediction and environmental risk assessment of pyrethroid insecticides in urban artificial lakes caused by rainfall: A case study of Cloud Mountain Park in subhumid climate zone. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 343:118156. [PMID: 37244100 DOI: 10.1016/j.jenvman.2023.118156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 04/20/2023] [Accepted: 05/10/2023] [Indexed: 05/29/2023]
Abstract
Pyrethroid insecticides are among urban parks' most widely used and harmful insecticides. The advanced prediction method is the key to studying the pollution and diffusion risk of plant conservation insecticides in parks. A two-dimensional advection-dispersion model was established for the North Lake of Cloud Mountain Park in the subhumid area of Hebei Province. The temporal and spatial distribution of lambda-cyhalothrin pollution required by plant growth in artificial lakes under different rainfall intensities and the time of water renewal after rainfall was simulated and predicted. According to the model efficiency (E: 0.98), mean absolute error (MAE: 0.016-0.064 cm), and root mean square error (RMSE: 0.014-0.041 cm), the prediction results showed that the model fits well. The results showed that the concentration of lambda-cyhalothrin in the artificial lake was positively correlated with the increase in rainfall intensity. Under the three scenarios of moderate rain, heavy rain, and rainstorm, the variation of total pollutants into the lake over time conformed to the first-order dynamic equation (R2>0.97), and the cumulative rates were 0.013 min-1, 0.019 min-1 and 0.022 min-1, respectively. Under light rain, the accumulation rate of lambda-cyhalothrin showed a double-linear relationship, which was in accordance with the second-order kinetic equation (R2>0.97). The rapid accumulation rate of early-stage rainfall was 0.0024 min-1, and the slow accumulation rate of late-stage rainfall was 0.0019 min-1. The human health risk assessment predicted by the simulation was lower than the hazard value (Rtgn(a-1): 9.65 E-11-1.12 E-10 a-1). However, the potential risk value to aquatic species was higher (RQ: 0.33-23.05). In addition, the increase in rainfall intensity has no significant effect on the acceleration of water renewal time. The two-dimensional dispersion model of pollutants driven by water dynamics provided relevant examples for evaluating the impact of runoff on pesticide scour in parks and supplied scientific support for improving the management of artificial lakes in urban parks.
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Affiliation(s)
- Siyao Liu
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China
| | - Xuanying Li
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China
| | - Rui Ding
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China
| | - Yuwen Pan
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China
| | - Xiaoyu Ge
- School of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.
| | - Weifang Ma
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing, 100083, China.
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12
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Singh RP, Mahajan M, Gandhi K, Gupta PK, Singh A, Singh P, Singh RK, Kidwai MK. A holistic review on trend, occurrence, factors affecting pesticide concentration, and ecological risk assessment. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 195:451. [PMID: 36890356 DOI: 10.1007/s10661-023-11005-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 02/01/2023] [Indexed: 06/18/2023]
Abstract
Demographic outbursts and increased food demands invoke excessive use of pesticides in the agricultural field for increasing productivity which leads to the relentless decline of riverine health and its tributaries. These tributaries are connected to a plethora of point and non-point sources that transport pollutants including pesticides into the Ganga river's mainstream. Simultaneous climate change and lack of rainfall significantly increase pesticide concentration in the soil and water matrix of the river basin. This paper is intended to review the paradigm shift of pesticide pollution in the last few decades in the river Ganga and its tributaries. Along with this, a comprehensive review suggests the ecological risk assessment method which facilitates policy development, sustainable riverine ecosystem management, and decision-making. Before 2011, the total mixture of Hexachlorocyclohexane was found at 0.004-0.026 ng/mL in Hooghly, but now, the concentration has increased up to 0.465-4.132 ng/mL. Aftermath of critical review, we observed maximum residual commodities and pesticide contamination reported in Uttar Pradesh > West Bengal > Bihar > Uttara Khand possibly because of agricultural load, increasing settlement, and incompetency of sewage treatment plant in the reclamation of pesticide contamination.
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Affiliation(s)
- Rajeev Pratap Singh
- Waste management, Resource recovery & Ecotoxicology (WRE) Laboratory, Department of Environment and Sustainable Development, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India.
| | - Monika Mahajan
- Waste management, Resource recovery & Ecotoxicology (WRE) Laboratory, Department of Environment and Sustainable Development, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, India
| | - Kavita Gandhi
- Pesticide Residue Laboratory, Sophisticated Environmental Analytical Facility, CSIR-National Environmental Engineering Research Institute, Nagpur, India
| | - Pankaj Kumar Gupta
- Faculty of Environment, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
| | - Anita Singh
- Department of Botany, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Prafull Singh
- Remote Sensing & Groundwater Modeling Lab, Department of Geology, Central University South Bihar (CUSB), Gaya, 824236, India
| | - Rahul Kumar Singh
- Department of Zoology, Institute of Science, Banaras Hindu University, Varanasi, India
| | - Mohd Kashif Kidwai
- Department of Energy & Environmental Sciences, Chaudhary Devi Lal University, Sirsa, Haryana, India
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Wang C, Feng L, Thakuri B, Chakraborty A. Ecological risk assessment of organochlorine pesticide mixture in South China Sea and East China Sea under the effects of seasonal changes and phase-partitioning. MARINE POLLUTION BULLETIN 2022; 185:114329. [PMID: 36356345 DOI: 10.1016/j.marpolbul.2022.114329] [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: 09/16/2022] [Revised: 10/24/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
Organochlorine pesticides (OCPs), chlorinated hydrocarbon derivatives extensively used in agriculture and chemical industry, have been banned for several decades in most developed countries. However, OCPs act as persistent organic pollutants due to their semi-volatility nature, high ability for wide range transportation and faster bioaccumulation, and thus it has remained as a topical global concern. This study focuses on OCP distributions, sources and associated ecological risks in the globally important OCP source-sink regions of South China Sea (SCS) and East China Sea (ECS). Given the co-exposure of multiple OCPs that undermine the classical risk assessment of single OCP species, a two-tier mixture risk assessment approach has been employed with explicit consideration of seasonal changes and phase-partitioning effects. The results indicate existence of multiple sources varied across the seasons and between the dissolved and particulate phases. Potential sources include the current-use of lindane or historical use of technical HCH, input of technical DDTs, long-range atmospheric transport, and deposition of HCB from land surfaces. There are no wide high-risk zones. Dissolved HCB and DDTs have posed low-to-medium levels of risks broadly distributed across the seasons. Relatively greater risks are observed in summer in the both dissolved and particulate phases. The study has shown the importance of considering mixture risk assessments with the effects of phase-partitioning and seasonal changes for efficient oceanic risk management.
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Affiliation(s)
- Ce Wang
- School of Energy and Environment, Southeast University, Nanjing 210096, PR China; State Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing 210096, PR China.
| | - Lan Feng
- National-Provincial Joint Engineering Research Center of Electromechanical Product Packaging, College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, PR China
| | - Bikash Thakuri
- Department of Mathematics, School of Physical Sciences, Sikkim University, Gangtok 737102, Sikkim, India
| | - Amit Chakraborty
- Department of Mathematics, School of Physical Sciences, Sikkim University, Gangtok 737102, Sikkim, India.
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Jing Q, Liu J, Chen A, Chen C, Liu J. The spatial-temporal chemical footprint of pesticides in China from 1999 to 2018. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:75539-75549. [PMID: 35657547 DOI: 10.1007/s11356-022-20602-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/29/2022] [Indexed: 06/15/2023]
Abstract
The massive use of pesticides brings considerable environmental and human health impacts. This study conducted an overall assessment of the ecological impact of the extensive pesticide use in China from 1999 to 2018 through the Chemical Footprint (ChF) calculation. The results demonstrated that the primary ecological impacts caused by pesticides occurred in the most central and eastern regions in China, e.g., provinces of Shandong, Henan, Hubei, Anhui, and Jiangsu. The northeastern, some southern and central provinces, e.g., Heilongjiang, Jilin, Liaoning, Yunnan, Guangxi, Guangdong, Ningxia, and Shaanxi, got moderate impacts, whereas the northwest regions, e.g., Qinghai, Xinjiang, and Tibet, had much lighter impacts relatively. The agricultural soil in inland areas and surface sea waters in coastal provinces bore the major impacts of the pesticide pollution in China, shared above 80% of the ChF across all environmental compartments. Chlorpyrifos, pymetrozine, fenpropathrin, pyridaben, atrazine, etc., were the pesticides that had the greatest impacts on the ecosystem, which contributed over 95% of the total ChF of pesticides used in China, although the use amount of these pesticides accounted for less than 10% of the total use amount of all pesticides annually. The study also indicated that the overall ChF of pesticide use in China has been declining since 2010, which was corresponding with the control actions of highly hazardous pesticides, especially the elimination of high toxic organophosphorus insecticides during the past decade.
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Affiliation(s)
- Qiaonan Jing
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Junzhou Liu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Anna Chen
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Chengkang Chen
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Jianguo Liu
- State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.
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