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Xie J, Zhang G, Chen C, Luo M, Xu H, Chen D, Liu R, Li Y, Zhang Q, Zhang Y, Peng X, He L, Lin T, Jiang G. Tracing Organophosphate Ester Pollutants in Hadal Trenches─Distribution, Possible Origins, and Transport Mechanisms. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4392-4403. [PMID: 38362876 DOI: 10.1021/acs.est.3c09884] [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: 02/17/2024]
Abstract
Unraveling the mysterious pathways of pollutants to the deepest oceanic realms holds critical importance for assessing the integrity of remote marine ecosystems. This study tracks the transport of pollutants into the depths of the oceans, a key step in protecting the sanctity of these least explored ecosystems. By analyzing hadal trench samples from the Mariana, Mussau, and New Britain trenches, we found the widespread distribution of organophosphate ester (OPE) flame retardants but a complex transport pattern for the OPE in these regions. In the Mariana Trench seawater column, OPE concentrations range between 17.4 and 102 ng L-1, with peaks at depths of 500 and 4000 m, which may be linked to Equatorial Undercurrent and topographic Rossby waves, respectively. Sediments, particularly in Mariana (422 ng g-1 dw), showed high OPE affinity, likely due to organic matter serving as a transport medium, influenced by "solvent switching", "solvent depletion", and "filtering processes". Amphipods in the three trenches had consistent OPE levels (29.1-215 ng g-1 lipid weight), independent of the sediment pollution patterns. The OPEs in these amphipods appeared more linked to surface-dwelling organisms, suggesting the influence of "solvent depletion". This study highlights the need for an improved understanding of deep-sea pollutant sources and transport, urging the establishment of protective measures for these remote marine habitats.
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Affiliation(s)
- Jingqian Xie
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Gaoxin Zhang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Chuchu Chen
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Min Luo
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Hongzhou Xu
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China
| | - Duofu Chen
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Rulong Liu
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Yingming Li
- 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
| | - Qinghua Zhang
- 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
| | - Yu Zhang
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Xiaotong Peng
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China
| | - Lisheng He
- Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China
| | - Tian Lin
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Guibin Jiang
- 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
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Tan H, Wang L, Mo L, Wu C, Xing Q, Zhang X, Deng X, Li Y, Li Q. Occurrence and ecological risks of flonicamid and its metabolites in multiple substrates from intensive rice-vegetable rotations in tropical China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 899:165571. [PMID: 37459992 DOI: 10.1016/j.scitotenv.2023.165571] [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: 03/30/2023] [Revised: 05/29/2023] [Accepted: 07/14/2023] [Indexed: 07/30/2023]
Abstract
Rice-vegetable rotations are dominant in (sub)-tropical agriculture worldwide. However, fate and risks of the insecticide flonicamid (FLO) and its main degradates (collectively called FLOMs) in multiple substrates from those cropping systems remain largely unknown. In this study, we characterized residual concentrations, driving factors, transport, and potential ecological risks of FLOMs in different substrates in 28 tropical rice-vegetable rotations. Concentrations (median) of FLOMs were 0.013-3.03 (0.42) ng g-1 in plants, 0.012-1.92 (0.23) ng g-1 in soil, 0.029-0.63 (0.126) μg L-1 in water, and 0.002-0.398 (0.055) ng g-1 in sediments. Flonicamid and its metabolite N-(4-trifluoromethylnicotinoyl) glycine were the dominant species in the four substrates (84.1 % to 88.5 %). Plants had the highest levels of FLOMs, with the highest bioconcentration factor in peppers. According to boosted regression trees coupled with a partial least squares structural equation model, levels and composition of FLOMs showed high spatiotemporal and crop-related patterns in different substrates, with patterns highly codetermined by agricultural practices (e.g., crop type and FLO/neonicotinoid/pyrethroid applications), substrate parameters (e.g., pH, organic matter or total organic carbon), and climate features (e.g., wet/dry seasons). Moreover, a fugacity method indicated differences in transport and partitioning patterns in different substrates during rice and vegetable planting periods. Integrated substrate risk assessment of FLOMs contamination was conducted based on species-sensitive distributions and substrate weight index. Although overall risks of FLOM contamination in tropical rice-vegetable rotations were negligible to low, the highest risks were in soils, vegetable planting periods, and a central intensively planted area.
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Affiliation(s)
- Huadong Tan
- Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, PR China; National Agricultural Experimental Station for Agricultural Environment, Danzhou 571737, PR China; Hainan Engineering Research Center for Non-point Source and Heavy Metal Pollution Control, Danzhou 571737, PR China
| | - Licheng Wang
- Hainan Research Academy of Environmental Sciences, Haikou 571126, PR China
| | - Ling Mo
- Hainan Research Academy of Environmental Sciences, Haikou 571126, PR China
| | - Chunyuan Wu
- Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, PR China; National Agricultural Experimental Station for Agricultural Environment, Danzhou 571737, PR China; Hainan Engineering Research Center for Non-point Source and Heavy Metal Pollution Control, Danzhou 571737, PR China.
| | - Qiao Xing
- Hainan Research Academy of Environmental Sciences, Haikou 571126, PR China.
| | - Xiaoying Zhang
- Chinese Academy of Tropical Agricultural Sciences Proving Ground, Danzhou 571737, PR China
| | - Xiao Deng
- Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, PR China; National Agricultural Experimental Station for Agricultural Environment, Danzhou 571737, PR China; Hainan Engineering Research Center for Non-point Source and Heavy Metal Pollution Control, Danzhou 571737, PR China
| | - Yi Li
- Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, PR China; National Agricultural Experimental Station for Agricultural Environment, Danzhou 571737, PR China; Hainan Engineering Research Center for Non-point Source and Heavy Metal Pollution Control, Danzhou 571737, PR China
| | - Qinfen Li
- Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, PR China; National Agricultural Experimental Station for Agricultural Environment, Danzhou 571737, PR China; Hainan Engineering Research Center for Non-point Source and Heavy Metal Pollution Control, Danzhou 571737, PR China
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Xie J, Wu Q, Tao L, Wu F, Tu S, Chen D, Lin T, Li T. Essential and non-essential elements in tuna and billfish around the world: Distribution patterns and influencing factors. MARINE POLLUTION BULLETIN 2023; 196:115587. [PMID: 37797540 DOI: 10.1016/j.marpolbul.2023.115587] [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: 06/03/2023] [Revised: 09/20/2023] [Accepted: 09/23/2023] [Indexed: 10/07/2023]
Abstract
Tuna and billfish are widely distributed in oceans worldwide. Their survival is relied on a decent share of essential and non-essential elements. We conducted a comprehensive evaluation of essential and non-essential elements in livers of tuna and billfish collected from global oceans. The individual element consistently shown similar orders of magnitude in both tuna and billfish, with essential elements generally being 1-3 orders of magnitude higher than non-essential elements. Various physicochemical properties and behaviors contributed to four distinct clusters of these elements. Also, element distribution pattern indicated the presence of four sample groups based on regions and categories. Nine elements served as characteristic indicators. Among them, fish category was the most important influencing factor. Hg, Fe, Tl, Co, and Se were influenced by body size, trophic level, and feeding habits. Ni was influenced by sampling regions, while Mg, Mn and As were influenced by body size and local primary production.
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Affiliation(s)
- Jingqian Xie
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Qiang Wu
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Ling Tao
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Feng Wu
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.
| | - Shuyi Tu
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Duofu Chen
- College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
| | - Tian Lin
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China
| | - Tiejun Li
- Zhejiang Marine Fisheries Research Institute, Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhoushan 316021, China.
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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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Postigo C, Moreno-Merino L, López-García E, López-Martínez J, López de Alda M. Human footprint on the water quality from the northern Antarctic Peninsula region. JOURNAL OF HAZARDOUS MATERIALS 2023; 453:131394. [PMID: 37086669 DOI: 10.1016/j.jhazmat.2023.131394] [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: 02/16/2023] [Revised: 04/06/2023] [Accepted: 04/08/2023] [Indexed: 05/03/2023]
Abstract
This study assessed the human footprint on the chemical pollution of Antarctic waters by characterizing inorganic chemicals and selected organic anthropogenic contaminants of emerging concern (CECs) in inland freshwater and coastal seawater and the associated ecotoxicological risk. Nicotine and tolytriazole, present in 74% and 89% of the samples analyzed, respectively, were the most ubiquitous CECs in the investigated area. The most abundant CECs were citalopram, clarithromycin, and nicotine with concentrations reaching 292, 173, and 146 ng/L, respectively. The spatial distribution of CECs was not linked to any water characteristic or inorganic component. The contamination pattern by CECs in inland freshwater varied among locations, whereas it was very similar in coastal seawater. This suggests that concentrations in inland freshwater may be ruled by environmental processes (reemission from ice, atmospheric deposition, limited photo- and biodegradation processes, etc.) in addition to human activities. Following risk assessment, citalopram, clarithromycin, nicotine, venlafaxine, and hydrochlorothiazide should be considered of concern in this area, and hence, included in future monitoring of Antarctic waters and biota. This work provides evidence on the fact that current measures taken to protect the pristine environment of Antarctica from human activities are not effective to avoid CEC spread in its aquatic environment.
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Affiliation(s)
- Cristina Postigo
- Technologies for Water Management and Treatment Research Group, Department of Civil Engineering, University of Granada, Campus de Fuentenueva s/n, Granada 18071, Spain; Institute for Water Research (IdA), University of Granada, Ramón y Cajal 4, 18071, Granada, Spain.
| | - Luis Moreno-Merino
- Spanish Geological Survey CN IGME (CSIC), Ríos Rosas, 23, Madrid 28003, Spain
| | - Ester López-García
- Water, Environmental and Food Chemistry Unit (ENFOCHEM), Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), C/ Jordi Girona 18-26, Barcelona 08034, Spain
| | - Jerónimo López-Martínez
- Faculty of Sciences, Universidad Autónoma de Madrid, Campus de Cantoblanco, Madrid 28049, Spain
| | - Miren López de Alda
- Water, Environmental and Food Chemistry Unit (ENFOCHEM), Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), C/ Jordi Girona 18-26, Barcelona 08034, Spain
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Wei Y, Wang L, Liu J. The diabetogenic effects of pesticides: Evidence based on epidemiological and toxicological studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023:121927. [PMID: 37268216 DOI: 10.1016/j.envpol.2023.121927] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/23/2023] [Accepted: 05/28/2023] [Indexed: 06/04/2023]
Abstract
While the use of pesticides has improved grain productivity and controlled vector-borne diseases, the widespread use of pesticides has resulted in ubiquitous environmental residues that pose health risks to humans. A number of studies have linked pesticide exposure to diabetes and glucose dyshomeostasis. This article reviews the occurrence of pesticides in the environment and human exposure, the associations between pesticide exposures and diabetes based on epidemiological investigations, as well as the diabetogenic effects of pesticides based on the data from in vivo and in vitro studies. The potential mechanisms by which pesticides disrupt glucose homeostasis include induction of lipotoxicity, oxidative stress, inflammation, acetylcholine accumulation, and gut microbiota dysbiosis. The gaps between laboratory toxicology research and epidemiological studies lead to an urgent research need on the diabetogenic effects of herbicides and current-use insecticides, low-dose pesticide exposure research, the diabetogenic effects of pesticides in children, and assessment of toxicity and risks of combined exposure to multiple pesticides with other chemicals.
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Affiliation(s)
- Yile Wei
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Linping Wang
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jing Liu
- MOE Key Laboratory of Environmental Remediation and Ecosystem Health, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
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