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Liu J, Xiang T, Song XC, Zhang S, Wu Q, Gao J, Lv M, Shi C, Yang X, Liu Y, Fu J, Shi W, Fang M, Qu G, Yu H, Jiang G. High-Efficiency Effect-Directed Analysis Leveraging Five High Level Advancements: A Critical Review. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:9925-9944. [PMID: 38820315 DOI: 10.1021/acs.est.3c10996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2024]
Abstract
Organic contaminants are ubiquitous in the environment, with mounting evidence unequivocally connecting them to aquatic toxicity, illness, and increased mortality, underscoring their substantial impacts on ecological security and environmental health. The intricate composition of sample mixtures and uncertain physicochemical features of potential toxic substances pose challenges to identify key toxicants in environmental samples. Effect-directed analysis (EDA), establishing a connection between key toxicants found in environmental samples and associated hazards, enables the identification of toxicants that can streamline research efforts and inform management action. Nevertheless, the advancement of EDA is constrained by the following factors: inadequate extraction and fractionation of environmental samples, limited bioassay endpoints and unknown linkage to higher order impacts, limited coverage of chemical analysis (i.e., high-resolution mass spectrometry, HRMS), and lacking effective linkage between bioassays and chemical analysis. This review proposes five key advancements to enhance the efficiency of EDA in addressing these challenges: (1) multiple adsorbents for comprehensive coverage of chemical extraction, (2) high-resolution microfractionation and multidimensional fractionation for refined fractionation, (3) robust in vivo/vitro bioassays and omics, (4) high-performance configurations for HRMS analysis, and (5) chemical-, data-, and knowledge-driven approaches for streamlined toxicant identification and validation. We envision that future EDA will integrate big data and artificial intelligence based on the development of quantitative omics, cutting-edge multidimensional microfractionation, and ultraperformance MS to identify environmental hazard factors, serving for broader environmental governance.
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Affiliation(s)
- Jifu Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tongtong Xiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- College of Sciences, Northeastern University, Shenyang 110004, China
| | - Xue-Chao Song
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shaoqing Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China
| | - Qi Wu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Gao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Meilin Lv
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- College of Sciences, Northeastern University, Shenyang 110004, China
| | - Chunzhen Shi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Xiaoxi Yang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yanna Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Jianjie Fu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Shi
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China
| | - Mingliang Fang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
| | - Guangbo Qu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- Institute of Environment and Health, Jianghan University, Wuhan, Hubei 430056, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hongxia Yu
- State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
- School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China
- College of Sciences, Northeastern University, Shenyang 110004, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Narayanan M, Devarayan K, Verma M, Selvaraj M, Ghramh HA, Kandasamy S. Assessing the ecological impact of pesticides/herbicides on algal communities: A comprehensive review. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2024; 268:106851. [PMID: 38325057 DOI: 10.1016/j.aquatox.2024.106851] [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: 08/28/2023] [Revised: 01/12/2024] [Accepted: 01/25/2024] [Indexed: 02/09/2024]
Abstract
The escalating use of pesticides in agriculture for enhanced crop productivity threatens aquatic ecosystems, jeopardizing environmental integrity and human well-being. Pesticides infiltrate water bodies through runoff, chemical spills, and leachate, adversely affecting algae, vital primary producers in marine ecosystems. The repercussions cascade through higher trophic levels, underscoring the need for a comprehensive understanding of the interplay between pesticides, algae, and the broader ecosystem. Algae, susceptible to pesticides via spillage, runoff, and drift, experience disruptions in community structure and function, with certain species metabolizing and bioaccumulating these contaminants. The toxicological mechanisms vary based on the specific pesticide and algal species involved, particularly evident in herbicides' interference with photosynthetic activity in algae. Despite advancements, gaps persist in comprehending the precise toxic effects and mechanisms affecting algae and non-target species. This review consolidates information on the exposure and toxicity of diverse pesticides and herbicides to aquatic algae, elucidating underlying mechanisms. An emphasis is placed on the complex interactions between pesticides/herbicides, nutrient content, and their toxic effects on algae and microbial species. The variability in the harmful impact of a single pesticide across different algae species underscores the necessity for further research. A holistic approach considering these interactions is imperative to enhance predictions of pesticide effects in marine ecosystems. Continued research in this realm is crucial for a nuanced understanding of the repercussions of pesticides and herbicides on aquatic ecosystems, mainly algae.
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Affiliation(s)
- Mathiyazhagan Narayanan
- Center for Research and Innovation, Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Saveetha University, Chennai 602 105, Tamil Nadu, India.
| | - Kesavan Devarayan
- Department of Basic Sciences, College of Fisheries Engineering, Tamil Nadu Dr. J. Jayalalithaa Fisheries University, Vettar River View Campus, Nagapattinam 611 002, India
| | - Monu Verma
- Water-Energy Nexus Laboratory, Department of Environmental Engineering, University of Seoul, Seoul 02504, South Korea; Department of Food Science and Technology, Graphic Era (Deemed to be University), Dehradun 248002, Uttarakhand, India
| | - Manickam Selvaraj
- Department of Chemistry, Faculty of Science, King Khalid University, Abha 61413, Saudi Arabia
| | - Hamed A Ghramh
- Research Centre for Advanced Materials Science (RCAMS), King Khalid University, PO Box 9004, Abha 61413, Saudi Arabia
| | - Sabariswaran Kandasamy
- Department of Biotechnology, PSGR Krishnammal College for Women, Peelamedu, Coimbatore 641004, India.
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Jamal E, Reichelt-Brushett A, Gillmore M, Pearson B, Benkendorff K. Pesticide occurrence in a subtropical estuary, Australia: Complementary sampling methods. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 342:123084. [PMID: 38065335 DOI: 10.1016/j.envpol.2023.123084] [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: 03/02/2023] [Revised: 11/30/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023]
Abstract
Monitoring pesticide run-off in the aquatic environment is ecologically important. Effective methods are required to detect the wide range of possible pesticides that enter estuaries from the surrounding catchment. Here, we investigate the occurrence of pesticides in the Richmond River estuary, Australia, and compare the effectiveness of using oysters and Chemcatcher® passive sampling devices against composite water samples. Samples were collected from six sites during two sampling periods: from January to March 2020 (4 weekly composite water samples and oyster collections) and from February to March 2021 (8 twice weekly composite water samples and Chemcatcher® deployment). Samples were analysed for up to 174 pesticides. A total of 21 pesticides were detected across all sites using all methods. The number of pesticides and mixture of pesticides detected in the 2020 sampling was higher in oyster samples than in water samples. In 2021, Chemcatcher® samplers detected more pesticides than in water samples. Herbicides were the most common in all samples. Insecticides and most fungicides were detected only in oysters and Chemcatcher®. Overall, the use of three complementary sampling approaches demonstrated a high level of pesticide input into the Richmond River estuary, highlighting the usefulness of oysters as biomonitors for some pesticides.
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Affiliation(s)
- Endang Jamal
- Faculty of Science and Engineering, Southern Cross University, Australia; Faculty of Fisheries and Marine Science, Pattimura University, Indonesia
| | | | - Megan Gillmore
- Department of Planning and Environment, New South Wales, Australia
| | - Brendan Pearson
- Department of Planning and Environment, New South Wales, Australia
| | - Kirsten Benkendorff
- Faculty of Science and Engineering, Southern Cross University, Australia; National Marine Science Centre, Southern Cross University, Australia
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Morin S, Artigas J. Twenty Years of Research in Ecosystem Functions in Aquatic Microbial Ecotoxicology. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:1867-1888. [PMID: 37401851 DOI: 10.1002/etc.5708] [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: 11/29/2022] [Revised: 12/20/2022] [Accepted: 06/27/2023] [Indexed: 07/05/2023]
Abstract
One of the major threats to freshwater biodiversity is water pollution including excessive loads of nutrients, pesticides, industrial chemicals, and/or emerging contaminants. The widespread use of organic pesticides for agricultural and nonagricultural (industry, gardening, etc.) purposes has resulted in the presence of their residues in various environments, including surface waters. However, the contribution of pesticides to the deterioration of freshwater ecosystems (i.e., biodiversity decline and ecosystem functions impairment) remains uncertain. Once in the aquatic environment, pesticides and their metabolites can interact with microbial communities, causing undesirable effects. The existing legislation on ecological quality assessment of water bodies in Europe is based on water chemical quality and biological indicator species (Water Framework Directive, Pesticides Directive), while biological functions are not yet included in monitoring programs. In the present literature review, we analyze 20 years (2000-2020) of research on ecological functions provided by microorganisms in aquatic ecosystems. We describe the set of ecosystem functions investigated in these studies and the range of endpoints used to establish causal relationships between pesticide exposure and microbial responses. We focus on studies addressing the effects of pesticides at environmentally realistic concentrations and at the microbial community level to inform the ecological relevance of the ecotoxicological assessment. Our literature review highlights that most studies were performed using benthic freshwater organisms and that autotrophic and heterotrophic communities are most often studied separately, usually testing the pesticides that target the main microbial component (i.e., herbicides for autotrophs and fungicides for heterotrophs). Overall, most studies demonstrate deleterious impacts on the functions studied, but our review points to the following shortcomings: (1) the nonsystematic analysis of microbial functions supporting aquatic ecosystems functioning, (2) the study of ecosystem functions (i.e., nutrient cycling) via proxies (i.e., potential extracellular enzymatic activity measurements) which are sometimes disconnected from the current ecosystem functions, and (3) the lack of consideration of chronic exposures to assess the impact of, adaptations to, or recovery of aquatic microbial communities from pesticides. Environ Toxicol Chem 2023;42:1867-1888. © 2023 SETAC.
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Affiliation(s)
| | - Joan Artigas
- Laboratoire Microorganismes: Génome et Environnement, CNRS, Université Clermont Auvergne, Clermont-Ferrand, France
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Pontes MS, Santos JS, da Silva JL, Miguel TBAR, Miguel EC, Souza Filho AG, Garcia F, Lima SM, da Cunha Andrade LH, Arruda GJ, Grillo R, Caires ARL, Felipe Santiago E. Assessing the Fate of Superparamagnetic Iron Oxide Nanoparticles Carrying Usnic Acid as Chemical Cargo on the Soil Microbial Community. ACS NANO 2023; 17:7417-7430. [PMID: 36877273 DOI: 10.1021/acsnano.2c11985] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
In the present study we evaluate the effect of superparamagnetic iron oxide nanoparticles (SPIONs) carrying usnic acid (UA) as chemical cargo on the soil microbial community in a dystrophic red latosol (oxysol). Herein, 500 ppm UA or SPIONs-framework carrying UA were diluted in sterile ultrapure deionized water and applied by hand sprayer on the top of the soil. The experiment was conducted in a growth chamber at 25 °C, with a relative humidity of 80% and a 16 h/8 h light-dark cycle (600 lx light intensity) for 30 days. Sterile ultrapure deionized water was used as the negative control; uncapped and oleic acid (OA) capped SPIONs were also tested to assess their potential effects. Magnetic nanostructures were synthesized by a coprecipitation method and characterized by scanning and transmission electron microscopy (SEM and TEM), X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), zeta potential, hydrodynamic diameter, magnetic measurements, and release kinetics of chemical cargo. Uncapped and OA-capped SPIONs did not significantly affect soil microbial community. Our results showed an impairment in the soil microbial community exposed to free UA, leading to a general decrease in negative effects on soil-based parameters when bioactive was loaded into the nanoscale magnetic carrier. Besides, compared to control, the free UA caused a significant decrease in microbial biomass C (39%), on the activity of acid protease (59%), and acid phosphatase (23%) enzymes, respectively. Free UA also reduced eukaryotic 18S rRNA gene abundance, suggesting a major impact on fungi. Our findings indicate that SPIONs as bioherbicide nanocarriers can reduce the negative impacts on soil. Therefore, nanoenabled biocides may improve agricultural productivity, which is important for food security due to the need of increasing food production.
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Affiliation(s)
- Montcharles S Pontes
- Natural Resources Program, Center for Natural Resources Study (CERNA), Mato Grosso do Sul State University (UEMS), Dourados, 79804-970, Brazil
- Optics and Photonics Group, Institute of Physics, Federal University of Mato Grosso do Sul (UFMS), Campo Grande, 79070-900, Brazil
| | - Jaqueline Silva Santos
- Genetics Department, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, 13418-900, Brazil
| | - José Luiz da Silva
- Department of Analytical, Physico-Chemical and Inorganic Chemistry, Institute of Chemistry, São Paulo State University (UNESP), Araraquara, 14800-060, Brazil
| | - Thaiz B A R Miguel
- Laboratory of Biotechnology, Department of Food Engineering (DEAL), Federal University of Ceará (UFC), Fortaleza, 60440-554, Brazil
| | - Emilio Castro Miguel
- Laboratory of Biomaterials, Department of Metallurgical and Materials Engineering, Federal University of Ceará (UFC), Fortaleza, 60440-554, Brazil
| | - Antonio G Souza Filho
- Department of Physics, Federal University of Ceará (UFC), Fortaleza, 60440-554, Brazil
| | - Flavio Garcia
- Brazilian Center for Research in Physics, Urca, Rio de Janeiro 22290-180, Brazil
| | - Sandro Marcio Lima
- Natural Resources Program, Center for Natural Resources Study (CERNA), Mato Grosso do Sul State University (UEMS), Dourados, 79804-970, Brazil
| | - Luís Humberto da Cunha Andrade
- Natural Resources Program, Center for Natural Resources Study (CERNA), Mato Grosso do Sul State University (UEMS), Dourados, 79804-970, Brazil
| | - Gilberto J Arruda
- Natural Resources Program, Center for Natural Resources Study (CERNA), Mato Grosso do Sul State University (UEMS), Dourados, 79804-970, Brazil
| | - Renato Grillo
- São Paulo State University (UNESP), Department of Physics and Chemistry, School of Engineering, Ilha Solteira, São Paulo 15385-000, Brazil
| | - Anderson R L Caires
- Optics and Photonics Group, Institute of Physics, Federal University of Mato Grosso do Sul (UFMS), Campo Grande, 79070-900, Brazil
| | - Etenaldo Felipe Santiago
- Natural Resources Program, Center for Natural Resources Study (CERNA), Mato Grosso do Sul State University (UEMS), Dourados, 79804-970, Brazil
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