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2025 Volume 1
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REVIEW   Open Access    

A brief review of strobilurin fungicides: environmental exposure, transformation, and toxicity

  • # Authors contributed equally: Zhilei Liu, Yuxian Liu
    Full list of author information is available at the end of the article.

  • Received: 15 June 2025
    Revised: 16 July 2025
    Accepted: 06 August 2025
    Published online: 03 September 2025
    New Contaminants  1 Article number: e004 (2025)  |  Cite this article
  • SF residues are ubiquitous in crops, aquatic systems, and humans, indicating widespread exposure and risks.

    Mitochondrial dysfunction underpins SF toxicity: inhibiting complex III, reducing ATP 28.7%–98.5%, and inducing ROS in zebrafish.

    At environmental levels, SFs trigger endocrine and neurotoxicity, indicating low-dose risks.

    Microbial degradation dominates SF transformation, offering novel remediation insights.

  • Strobilurin fungicides (SFs), a class of quinone outside inhibitor (QoI) agrochemicals, have revolutionized crop protection since their commercialization in the 1990s. This critical review synthesizes global data on environmental distribution, analytical detection methods, toxicological impacts, and environmental transformation of SF. Key findings revealed: (1) SFs residues are ubiquitously detected in agricultural products (e.g., wheat, apples), aquatic systems (median concentration up to 100 μg·L–1), and human matrices (e.g., 100% detection of azoxystrobin metabolites in pregnant women's urine); (2) mitochondrial dysfunction emerges as a central toxicity mechanism, with SFs inhibiting complex III activity, reducing ATP synthesis by 28.7%–98.5% in zebrafish embryos, and inducing oxidative stress via ROS overproduction; (3) endocrine disruption and neurotoxic effects were observed at environmentally relevant concentrations (e.g., 1 μg·L–1 trifloxystrobin altered er gene expression in medaka); (4) microbial degradation dominated the environmental transformation, showing exceptional catabolic versatility. Despite advancements, critical gaps persist in mixture toxicity assessment, epidemiological correlation, and global biomonitoring. We advocate for integrated approaches combining effect modeling (QSTR/TK-TD), omics technologies, and international surveillance networks to mitigate ecological and health risks in the era of intensifying agrochemical use.
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  • [1] Anke T, Oberwinkler F, Steglich W, Schramm G. 1977. The strobilurins-new antifungal antibiotics from the basidiomycete Strobilurus tenacellus. The Journal of Antibiotics 30:806−810 doi: 10.7164/antibiotics.30.806

    CrossRef   Google Scholar

    [2] Bartlett DW, Clough JM, Godwin JR, Hall AA, Hamer M, Parr-Dobrzanski B. 2002. The strobilurin fungicides. Pest Management Science 58:649−662 doi: 10.1002/ps.520

    CrossRef   Google Scholar

    [3] Bartett DW, John M. Clough, Chris R. A. Godfrey, Jeremy R. Godwin, Alison A. Hall, et al. 2001. Understanding the strobilurin fungicides. Pesticide Outlook 12:143−148 doi: 10.1039/B106300F

    CrossRef   Google Scholar

    [4] Khandelwal A, Gupta S, Gajbhiye VT, Varghese E. 2014. Degradation of kresoxim-methyl in soil: Impact of varying moisture, organic matter, soil sterilization, soil type, light and atmospheric CO2 level. Chemosphere 111:209−217 doi: 10.1016/j.chemosphere.2014.03.044

    CrossRef   Google Scholar

    [5] Rodrigues ET, Lopes I, Pardal MÂ. 2013. Occurrence, fate and effects of azoxystrobin in aquatic ecosystems: A review. Environment International 53:18−28 doi: 10.1016/j.envint.2012.12.005

    CrossRef   Google Scholar

    [6] Feng Y, Huang Y, Zhan H, Bhatt P, Chen S. 2020. An overview of strobilurin fungicide degradation: current status and future perspective. Frontiers in Microbiology 11:1−11 doi: 10.3389/fmicb.2020.00389

    CrossRef   Google Scholar

    [7] Wang K, Sun Z, Yang L, He L, Li X, et al. 2020. Respiratory toxicity of azoxystrobin, pyraclostrobin and coumoxystrobin on chlorella vulgaris. Bulletin of Environmental Contamination and Toxicology 104:799−803 doi: 10.1007/s00128-020-02869-y

    CrossRef   Google Scholar

    [8] Wang X, Li X, Wang Y, Qin Y, Yan B, et al. 2021. A comprehensive review of strobilurin fungicide toxicity in aquatic species: emphasis on mode of action from the zebrafish model. Environmental Pollution 275:116671−116683 doi: 10.1016/j.envpol.2021.116671

    CrossRef   Google Scholar

    [9] Kumar N, Willis A, Satbhai K, Ramalingam L, Schmitt C, et al. 2020. Developmental toxicity in embryo-larval zebrafish (Danio rerio) exposed to strobilurin fungicides (azoxystrobin and pyraclostrobin). Chemosphere 241:124980 doi: 10.1016/j.chemosphere.2019.124980

    CrossRef   Google Scholar

    [10] Shin HM, Moschet C, Young TM, Bennett DH. 2019. Measured concentrations of consumer product chemicals in California house dust: Implications for sources, exposure, and toxicity potential. Indoor Air 30:60−75 doi: 10.1111/ina.12607

    CrossRef   Google Scholar

    [11] Cooper EM, Rushing R, Hoffman K, Phillips AL, Hammel SC, et al. 2020. Strobilurin fungicides in house dust: is wallboard a source? Journal of Exposure Science & Environmental Epidemiology 30:247−252 doi: 10.1038/s41370-019-0180-z

    CrossRef   Google Scholar

    [12] Balba H. 2007. Review of strobilurin fungicide chemicals. Journal of Environmental Science and Health, Part B 42:441−451 doi: 10.1080/03601230701316465

    CrossRef   Google Scholar

    [13] Kim JH, Campbell BC, Mahoney N, Chan KL, Molyneux RJ, et al. 2007. Enhanced activity of strobilurin and fludioxonil by using berberine and phenolic compounds to target fungal antioxidative stress response. Letters in Applied Microbiology 45:134−141 doi: 10.1111/j.1472-765X.2007.02159.x

    CrossRef   Google Scholar

    [14] Wania F. 2003. Assessing the potential of persistent organic chemicals for long-range transport and accumulation in polar regions. Environmental Science & Technology 27:1344−1351 doi: 10.1021/es026019e

    CrossRef   Google Scholar

    [15] Kelly BC, Ikonomou MG, Blair JD, Morin AE, Gobas FAPC. 2007. Food web–specific biomagnification of persistent organic pollutants. Science 317:236−239 doi: 10.1126/science.1138275

    CrossRef   Google Scholar

    [16] Zhang C, Zhou T, Xu Y, Du Z, Li B, et al. 2020. Ecotoxicology of strobilurin fungicides. Science of the Total Environment 742:140611−140623 doi: 10.1016/j.scitotenv.2020.140611

    CrossRef   Google Scholar

    [17] Mohapatra S, Siddamallaiah L, Matadha NY. 2021. Behavior of acetamiprid, azoxystrobin, pyraclostrobin, and lambda-cyhalothrin in/on pomegranate tissues. Environmental Science and Pollution Research 28:27481−27492 doi: 10.1007/s11356-021-12490-z

    CrossRef   Google Scholar

    [18] He L, He F, Yang S, Gao Y, Li B, et al. 2021. Dissipation kinetics and safety evaluation of pyraclostrobin and its desmethoxy metabolite BF 500-3 in a cucumber greenhouse agroecosystem. Environmental Science and Pollution Research 28:17712−17723 doi: 10.1007/s11356-020-11798-6

    CrossRef   Google Scholar

    [19] Gomes HdO, Cardoso RdS, da Costa JGM, Andrade da Silva VP, Nobre CdA, et al. 2021. Statistical evaluation of analytical curves for quantification of pesticides in bananas. Food Chemistry 345:128768 doi: 10.1016/j.foodchem.2020.128768

    CrossRef   Google Scholar

    [20] Li P, Sun P, Dong X, Li B. 2020. Residue analysis and kinetics modeling of thiophanate-methyl, carbendazim, tebuconazole and pyraclostrobin in apple tree bark using QuEChERS/HPLC–VWD. Biomedical Chromatography 34:e4851 doi: 10.1002/bmc.4851

    CrossRef   Google Scholar

    [21] Gao Y, Yang S, Li X, He L, Zhu J, et al. 2019. Residue determination of pyraclostrobin, picoxystrobin and its metabolite in pepper fruit via UPLC-MS/MS under open field conditions. Ecotoxicology and Environmental Safety 182:109445−109453 doi: 10.1016/j.ecoenv.2019.109445

    CrossRef   Google Scholar

    [22] Paramasivam M, Deepa M, Selvi C, Chandrasekaran S. 2017. Dissipation kinetics and safety evaluation of tebuconazole and trifloxystrobin in tea under tropical field conditions. Food Additives & Contaminants: Part A 34:2155−2163 doi: 10.1080/19440049.2017.1375606

    CrossRef   Google Scholar

    [23] Kang D, Zhang H, Chen Y, Wang F, Shi L, et al. 2017. Simultaneous determination of difenoconazole, trifloxystrobin and its metabolite trifloxystrobin acid residues in watermelon under field conditions by GC–MS/MS. Biomedical Chromatography 31:e3987 doi: 10.1002/bmc.3987

    CrossRef   Google Scholar

    [24] Peng W, Zhao L, Liu F, Xue J, Li H, et al. 2014. Effect of paste processing on residue levels of imidacloprid, pyraclostrobin, azoxystrobin and fipronil in winter jujube. Food Additives & Contaminants: Part A 31:1562−1567 doi: 10.1080/19440049.2014.941948

    CrossRef   Google Scholar

    [25] Li X, Li B, Chen M, Yan M, Cao X, et al. 2021. Preparation of magnetic zeolitic imidazolate framework-8 for magnetic solid-phase extraction of strobilurin fungicides from environmental water samples. Analytical Methods 13:2943−2950 doi: 10.1039/D1AY00645B

    CrossRef   Google Scholar

    [26] Li H, Yang S, Li T, Li X, Huang X, et al. 2020. Determination of pyraclostrobin dynamic residual distribution in tilapia tissues by UPLC-MS/MS under acute toxicity conditions. Ecotoxicology and Environmental Safety 206:111182 doi: 10.1016/j.ecoenv.2020.111182

    CrossRef   Google Scholar

    [27] Yusa V, Millet M, Coscolla C, Roca M. 2015. Analytical methods for human biomonitoring of pesticides. A review. Analytica Chimica Acta 891:15−31 doi: 10.1016/j.aca.2015.05.032

    CrossRef   Google Scholar

    [28] Gallo V, Tomai P, Gherardi M, Fanali C, De Gara L, et al. 2021. Dispersive liquid-liquid microextraction using a low transition temperature mixture and liquid chromatography-mass spectrometry analysis of pesticides in urine samples. Journal of Chromatography A 1642:462036 doi: 10.1016/j.chroma.2021.462036

    CrossRef   Google Scholar

    [29] Hu W, Liu CW, Jiménez JA, McCoy ES, Hsiao YC, et al. 2022. Detection of azoxystrobin fungicide and metabolite azoxystrobin-acid in pregnant women and children, estimation of daily intake, and evaluation of placental and lactational transfer in mice. Environmental Health Perspectives 130:027013−027022 doi: 10.1289/ehp9808

    CrossRef   Google Scholar

    [30] Chang C, Chen M, Gao J, Luo J, Wu K, et al. 2017. Current pesticide profiles in blood serum of adults in Jiangsu Province of China and a comparison with other countries. Environment International 102:213−222 doi: 10.1016/j.envint.2017.03.004

    CrossRef   Google Scholar

    [31] Flores JL, Díaz AM, Fernández de Córdova ML. 2007. Determination of azoxystrobin residues in grapes, musts and wines with a multicommuted flow-through optosensor implemented with photochemically induced fluorescence. Analytica Chimica Acta 585:185−191 doi: 10.1016/j.aca.2006.11.076

    CrossRef   Google Scholar

    [32] Guo X, Wang K, Chen GH, Shi J, Wu X, et al. 2017. Determination of strobilurin fungicide residues in fruits and vegetables by nonaqueous micellar electrokinetic capillary chromatography with indirect laser-induced fluorescence. Electrophoresis 38:2004−2010 doi: 10.1002/elps.201700060

    CrossRef   Google Scholar

    [33] Kolosova A, Maximova K, Eremin SA, Zherdev AV, Mercader JV, et al. 2017. Fluorescence polarisation immunoassays for strobilurin fungicides kresoxim-methyl, trifloxystrobin and picoxystrobin. Talanta: The International Journal of Pure and Applied Analytical Chemistry 162:495−504 doi: 10.1016/j.talanta.2016.10.063

    CrossRef   Google Scholar

    [34] Nogueira FdS, Araujo FM, De Faria LV, Lisboa TP, Azevedo GC, et al. 2020. Simultaneous determination of strobilurin fungicides residues in bean samples by HPLC-UV-AD using boron-doped diamond electrode. Talanta 216:120957 doi: 10.1016/j.talanta.2020.120957

    CrossRef   Google Scholar

    [35] Kwon CH, Lee YD, Im MH. 2011. Simultaneous determination of orysastrobin and its isomers in rice using HPLC-UV and LC-MS/MS. Journal of Agricultural and Food Chemistry 59:10826−10830 doi: 10.1021/jf202228p

    CrossRef   Google Scholar

    [36] Christensen HB, Granby K. 2001. Method validation for strobilurin fungicides in cereals and fruit. Food Additives & Contaminants 18:866−874 doi: 10.1080/02652030121435

    CrossRef   Google Scholar

    [37] Liu C, Qin D, Zhao Y, Pan C, Jiang S, et al. 2010. Famoxadone residue and dissipation in watermelon and soil. Ecotoxicology and Environmental Safety 73:183−188 doi: 10.1016/j.ecoenv.2009.08.003

    CrossRef   Google Scholar

    [38] Abdelraheem EMH, Hassan SM, Arief MMH, Mohammad SG. 2015. Validation of quantitative method for azoxystrobin residues in green beans and peas. Food Chemistry 182:246−250 doi: 10.1016/j.foodchem.2015.02.106

    CrossRef   Google Scholar

    [39] Jia L, Huang X, Zhao W, Wang H, Jing X. 2020. An effervescence tablet-assisted microextraction based on the solidification of deep eutectic solvents for the determination of strobilurin fungicides in water, juice, wine, and vinegar samples by HPLC. Food Chemistry 317:126424 doi: 10.1016/j.foodchem.2020.126424

    CrossRef   Google Scholar

    [40] Luo X, Qin X, Liu Z, Chen D, Yu W, et al. 2020. Determination, residue and risk assessment of trifloxystrobin, trifloxystrobin acid and tebuconazole in Chinese rice consumption. Biomedical Chromatography 34:e4694 doi: 10.1002/bmc.4694

    CrossRef   Google Scholar

    [41] Huang X, Du Z, Wu B, Jia L, Wang X, et al. 2020. Dispersive liquid–liquid microextraction based on the solidification of floating organic droplets for HPLC determination of three strobilurin fungicides in cereals. Food Additives & Contaminants: Part A 37:1279−1288 doi: 10.1080/19440049.2020.1758349

    CrossRef   Google Scholar

    [42] Xue J, Li H, Liu F, Jiang W, Chen X. 2014. Determination of strobilurin fungicides in cotton seed by combination of acetonitrile extraction and dispersive liquid-liquid microextraction coupled with gas chromatography. Journal of Separation Science 37:845−852 doi: 10.1002/jssc.201301223

    CrossRef   Google Scholar

    [43] de Melo Abreu S, Caboni P, Cabras P, Garau VL, Alves A. 2006. Validation and global uncertainty of a liquid chromatographic with diode array detection method for the screening of azoxystrobin, kresoxim-methyl, trifloxystrobin, famoxadone, pyraclostrobin and fenamidone in grapes and wine. Analytica Chimica Acta 573-574:291−297 doi: 10.1016/j.aca.2006.01.090

    CrossRef   Google Scholar

    [44] López-Ruiz R, Romero-González R, Garrido Frenich A. 2019. Residues and dissipation kinetics of famoxadone and its metabolites in environmental water and soil samples under different conditions. Environmental Pollution 252:163−170 doi: 10.1016/j.envpol.2019.05.123

    CrossRef   Google Scholar

    [45] Raina-Fulton R. 2015. Determination of neonicotinoid insecticides and strobilurin fungicides in particle phase atmospheric samples by liquid chromatography–tandem mass spectrometry. Journal of Agricultural and Food Chemistry 63:5152−5162 doi: 10.1021/acs.jafc.5b01347

    CrossRef   Google Scholar

    [46] Liu J, Wan Y, Jiang Y, Xia W, He Z, et al. 2022. Occurrence of azole and strobilurin fungicides in indoor dust from three cities of China. Environmental Pollution 304:119168 doi: 10.1016/j.envpol.2022.119168

    CrossRef   Google Scholar

    [47] Zubrod JP, Bundschuh M, Arts G, Brühl CA, Imfeld G, et al. 2019. Fungicides: an overlooked pesticide class? Environmental Science & Technology 53:3347−3365 doi: 10.1021/acs.est.8b04392

    CrossRef   Google Scholar

    [48] Berenzen N, Lentzen-Godding A, Probst M, Schulz H, Schulz R, et al. 2005. A comparison of predicted and measured levels of runoff-related pesticide concentrations in small lowland streams on a landscape level. Chemosphere 58:683−691 doi: 10.1016/j.chemosphere.2004.05.009

    CrossRef   Google Scholar

    [49] Reilly TJ, Smalling KL, Orlando JL, Kuivila KM. 2012. Occurrence of boscalid and other selected fungicides in surface water and groundwater in three targeted use areas in the United States. Chemosphere 89:228−234 doi: 10.1016/j.chemosphere.2012.04.023

    CrossRef   Google Scholar

    [50] Liu J, Xia W, Wan Y, Xu S. 2021. Azole and strobilurin fungicides in source, treated, and tap water from Wuhan, central China: Assessment of human exposure potential. Science of the Total Environment 801:149733 doi: 10.1016/j.scitotenv.2021.149733

    CrossRef   Google Scholar

    [51] Zhao Z, Sun R, Su Y, Hu J, Liu X. 2021. Fate, residues and dietary risk assessment of the fungicides epoxiconazole and pyraclostrobin in wheat in twelve different regions, China. Ecotoxicology and Environmental Safety 207:111236 doi: 10.1016/j.ecoenv.2020.111236

    CrossRef   Google Scholar

    [52] Hou Z, Wang X, Zhao X, Wang X, Yuan X, et al. 2016. Dissipation rates and residues of fungicide azoxystrobin in ginseng and soil at two different cultivated regions in China. Environmental Monitoring and Assessment 188:440 doi: 10.1007/s10661-016-5449-2

    CrossRef   Google Scholar

    [53] Hao F, Wang X, Ma F, Wang R, Dong F, et al. 2024. Transfer of pesticides and metabolites in corn: Production, processing, and livestock dietary burden. Science of the Total Environment 955:176932 doi: 10.1016/j.scitotenv.2024.176932

    CrossRef   Google Scholar

    [54] Wang B, Shi L, Ren P, Qin S, Li J, et al. 2024. Dissipation and dietary risk assessment of the fungicide pyraclostrobin in apples using ultra-high performance liquid chromatography–mass spectrometry. Molecules 29:4434−4444 doi: 10.3390/molecules29184434

    CrossRef   Google Scholar

    [55] Dost K, Öksüz M, Cittan M, Mutlu B, Tural B. 2023. Determination of boscalid, pyraclostrobin and trifloxystrobin in dried grape and apricot by HPLC/UV method. Journal of Food Composition and Analysis 115:104926 doi: 10.1016/j.jfca.2022.104926

    CrossRef   Google Scholar

    [56] Braun G, Sebesvari Z, Braun M, Kruse J, Amelung W, et al. 2018. Does sea-dyke construction affect the spatial distribution of pesticides in agricultural soils? – A case study from the Red River Delta, Vietnam. Environmental Pollution 243:890−899 doi: 10.1016/j.envpol.2018.09.050

    CrossRef   Google Scholar

    [57] Chau ND, Sebesvari Z, Amelung W, Renaud FG. 2015. Pesticide pollution of multiple drinking water sources in the Mekong Delta, Vietnam: evidence from two provinces. Environmental Science and Pollution Research 22:9042−9058 doi: 10.1007/s11356-014-4034-x

    CrossRef   Google Scholar

    [58] Battaglin WA, Sandstrom MW, Kuivila KM, Kolpin DW, Meyer MT. 2010. Occurrence of azoxystrobin, propiconazole, and selected other fungicides in US streams, 2005–2006. Water, Air, & Soil Pollution 218:307−322 doi: 10.1007/s11270-010-0643-2

    CrossRef   Google Scholar

    [59] Wang Y, Wan Y, Li S, He Z, Xu S, et al. 2023. Occurrence, spatial variation, seasonal difference, and risk assessment of neonicotinoid insecticides, selected agriculture fungicides, and their transformation products in the Yangtze River, China: From the upper to lower reaches. Water Research 247:120724 doi: 10.1016/j.watres.2023.120724

    CrossRef   Google Scholar

    [60] Jamin EL, Bonvallot N, Tremblay-Franco M, Cravedi JP, Chevrier C, et al. 2014. Untargeted profiling of pesticide metabolites by LC-HRMS: an exposomics tool for human exposure evaluation. Analytical & Bioanalytical Chemistry 406:1149 doi: 10.1007/s00216-013-7136-2

    CrossRef   Google Scholar

    [61] Perez-Rodriguez V, Wu N, de la Cova A, Schmidt J, Denslow ND, Martyniuk CJ. 2020. The organochlorine pesticide toxaphene reduces non-mitochondrial respiration and induces heat shock protein 70 expression in early-staged zebrafish (Danio rerio). Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology 228:108669 doi: 10.1016/j.cbpc.2019.108669

    CrossRef   Google Scholar

    [62] Yang L, Huang T, Li R, Souders CL, Rheingold S, et al. 2021. Evaluation and comparison of the mitochondrial and developmental toxicity of three strobilurins in zebrafish embryo/larvae. Environmental Pollution 270:116277 doi: 10.1016/j.envpol.2020.116277

    CrossRef   Google Scholar

    [63] Cao F, Wu P, Huang L, Li H, Qian L, et al. 2018. Short-term developmental effects and potential mechanisms of azoxystrobin in larval and adult zebrafish (Danio rerio). Aquatic Toxicology 198:129−140 doi: 10.1016/j.aquatox.2018.02.023

    CrossRef   Google Scholar

    [64] Li H, Zhao F, Cao F, Teng M, Yang Y, et al. 2019. Mitochondrial dysfunction-based cardiotoxicity and neurotoxicity induced by pyraclostrobin in zebrafish larvae. Environmental Pollution 251:203−211 doi: 10.1016/j.envpol.2019.04.122

    CrossRef   Google Scholar

    [65] Jiang J, Wu S, Lv L, Liu X, Chen L, et al. 2019. Mitochondrial dysfunction, apoptosis and transcriptomic alterations induced by four strobilurins in zebrafish (Danio rerio) early life stages. Environmental Pollution 253:722−730 doi: 10.1016/j.envpol.2019.07.081

    CrossRef   Google Scholar

    [66] Huang X, Yang S, Li B, Wang A, Li H, et al. 2021. Comparative toxicity of multiple exposure routes of pyraclostrobin in adult zebrafish (Danio rerio). Science of the Total Environment 777:145957 doi: 10.1016/j.scitotenv.2021.145957

    CrossRef   Google Scholar

    [67] Liu L, Jiang C, Wu ZQ, Gong YX, Wang GX. 2013. Toxic effects of three strobilurins (trifloxystrobin, azoxystrobin and kresoxim-methyl) on mRNA expression and antioxidant enzymes in grass carp (Ctenopharyngodon idella) juveniles. Ecotoxicology and Environmental Safety 98:297−302

    Google Scholar

    [68] Gao AH, Fu YY, Zhang KZ, Zhang M, Jiang HW, et al. 2014. Azoxystrobin, a mitochondrial complex III Qo site inhibitor, exerts beneficial metabolic effects in vivo and in vitro. Biochimica et Biophysica Acta (BBA) - General Subjects 1840:2212−2221 doi: 10.1016/j.bbagen.2014.04.002

    CrossRef   Google Scholar

    [69] Flampouri E, Mavrikou S, Mouzaki-Paxinou AC, Kintzios S. 2016. Alterations of cellular redox homeostasis in cultured fibroblast-like renal cells upon exposure to low doses of cytochrome bc1 complex inhibitor kresoxim-methyl. Biochemical Pharmacology 113:97−109 doi: 10.1016/j.bcp.2016.06.002

    CrossRef   Google Scholar

    [70] Jang Y, Kim JE, Jeong SH, Paik MK, Kim JS, et al. 2016. Trifloxystrobin-induced mitophagy through mitochondrial damage in human skin keratinocytes. The Journal of Toxicological Sciences 41:731−737 doi: 10.2131/jts.41.731

    CrossRef   Google Scholar

    [71] Chen H, Li L, Lu Y, Shen Y, Zhang M, et al. 2020. Azoxystrobin reduces oral carcinogenesis by suppressing mitochondrial complex III activity and inducing apoptosis. Cancer Management and Research Volume 12:11573−11583 doi: 10.2147/CMAR.S280285

    CrossRef   Google Scholar

    [72] Shi XK, Bian XB, Huang T, Wen B, Zhao L, et al. 2017. Azoxystrobin induces apoptosis of human esophageal squamous cell carcinoma KYSE-150 cells through triggering of the mitochondrial pathway. Frontiers in Pharmacology 8:1−11 doi: 10.3389/fphar.2017.00277

    CrossRef   Google Scholar

    [73] Rodrigues ET, Pardal MÂ, Laizé V, Cancela ML, Oliveira PJ, et al. 2015. Cardiomyocyte H9c2 cells present a valuable alternative to fish lethal testing for azoxystrobin. Environmental Pollution 206:619−626 doi: 10.1016/j.envpol.2015.08.026

    CrossRef   Google Scholar

    [74] Ma J, Cheng C, Du Z, Li B, Wang J, et al. 2019. Toxicological effects of pyraclostrobin on the antioxidant defense system and DNA damage in earthworms (Eisenia fetida). Ecological Indicators 101:111−116 doi: 10.1016/j.ecolind.2019.01.015

    CrossRef   Google Scholar

    [75] Cao F, Li H, Zhao F, Wu P, Qian L, et al. 2019. Parental exposure to azoxystrobin causes developmental effects and disrupts gene expression in F1 embryonic zebrafish (Danio rerio). Science of the Total Environment 646:595−605 doi: 10.1016/j.scitotenv.2018.07.331

    CrossRef   Google Scholar

    [76] Zhu L, Wang H, Liu H, Li W. 2015. Effect of trifloxystrobin on hatching, survival, and gene expression of endocrine biomarkers in early life stages of medaka (Oryzias latipes). Environmental Toxicology 30:648−655 doi: 10.1002/tox.21942

    CrossRef   Google Scholar

    [77] Cui F, Chai T, Liu X, Wang C. 2017. Toxicity of three strobilurins (kresoxim-methyl, pyraclostrobin, and trifloxystrobin) on Daphnia magna. Environmental Toxicology and Chemistry 36:182−189 doi: 10.1002/etc.3520

    CrossRef   Google Scholar

    [78] Wu S, Lei L, Liu M, Song Y, Lu S, et al. 2018. Single and mixture toxicity of strobilurin and SDHI fungicides to Xenopus tropicalis embryos. Ecotoxicology and Environmental Safety 153:8−15 doi: 10.1016/j.ecoenv.2018.01.045

    CrossRef   Google Scholar

    [79] Pearson BL, Simon JM, McCoy ES, Salazar G, Fragola G, et al. 2016. Identification of chemicals that mimic transcriptional changes associated with autism, brain aging and neurodegeneration. Nature Communications 7:11173 doi: 10.1038/ncomms11173

    CrossRef   Google Scholar

    [80] Regueiro J, Olguín N, Simal-Gándara J, Suñol C. 2015. Toxicity evaluation of new agricultural fungicides in primary cultured cortical neurons. Environmental Research 140:37−44 doi: 10.1016/j.envres.2015.03.013

    CrossRef   Google Scholar

    [81] Wu M, Bian J, Han S, Zhang C, Xu W, et al. 2023. Characterization of hepatotoxic effects induced by pyraclostrobin in human HepG2 cells and zebrafish larvae. Chemosphere 340:139732−139742 doi: 10.1016/j.chemosphere.2023.139732

    CrossRef   Google Scholar

    [82] Li SS, Tian XD, Song JK, Wu YD, Wang WL, et al. 2025. Network toxicological and molecular docking in investigating the mechanisms of toxicity of agricultural chemical pyraclostrobin. Ecotoxicology and Environmental Safety 297:118244−118255 doi: 10.1016/j.ecoenv.2025.118244

    CrossRef   Google Scholar

    [83] Boudina A, Emmelin C, Baaliouamer A, Païssé O, Chovelon JM. 2007. Photochemical transformation of azoxystrobin in aqueous solutions. Chemosphere 68:1280−1288 doi: 10.1016/j.chemosphere.2007.01.051

    CrossRef   Google Scholar

    [84] Wang C, Wu J, Zhang Y, Wang K, Zhang H. 2014. Field dissipation of trifloxystrobin and its metabolite trifloxystrobin acid in soil and apples. Environmental Monitoring and Assessment 187:4100 doi: 10.1007/s10661-014-4100-3

    CrossRef   Google Scholar

    [85] Adachi T, Suzuki Y, Nishiyama M, Kodaka R, Fujisawa T, et al. 2018. Photodegradation of strobilurin fungicide mandestrobin in water. Journal of Agricultural and Food Chemistry 66:8514−8521 doi: 10.1021/acs.jafc.8b03610

    CrossRef   Google Scholar

    [86] Lopes FM, Batista KA, Batista GLA, Mitidieri S, Bataus LAM, et al. 2009. Biodegradation of epoxyconazole and piraclostrobin fungicides by Klebsiella sp. from soil. World Journal of Microbiology and Biotechnology 26:1155−1161 doi: 10.1007/s11274-009-0283-0

    CrossRef   Google Scholar

    [87] Chen X, He S, Liang Z, Li QX, Yan H, et al. 2018. Biodegradation of pyraclostrobin by two microbial communities from Hawaiian soils and metabolic mechanism. Journal of Hazardous Materials 354:225−230 doi: 10.1016/j.jhazmat.2018.04.067

    CrossRef   Google Scholar

    [88] Howell CC, Semple KT, Bending GD. 2014. Isolation and characterisation of azoxystrobin degrading bacteria from soil. Chemosphere 95:370−378 doi: 10.1016/j.chemosphere.2013.09.048

    CrossRef   Google Scholar

    [89] Wang L, Zhao J, Delgado-Moreno L, Cheng J, Wang Y, et al. 2018. Degradation and metabolic profiling for benzene kresoxim-methyl using carbon-14 tracing. Science of the Total Environment 637-638: 1221-1229. https://doi.org/10.1016/j.scitotenv.2018.05.123
    [90] Yang L, Zeng J, Gao N, Zhu L, Feng J. 2024. Predicting the metal mixture toxicity with a toxicokinetic–toxicodynamic model considering the time-dependent adverse outcome pathways. Environmental Science & Technology 58:3714−3725 doi: 10.1021/acs.est.3c09857

    CrossRef   Google Scholar

    [91] Tan QG, Wang WX. 2012. Two-compartment toxicokinetic–toxicodynamic model to predict metal toxicity in daphnia magna. Environmental Science & Technology 46:9709−9715 doi: 10.1021/es301987u

    CrossRef   Google Scholar

    [92] Mukherjee RK, Kumar V, Roy K. 2021. Ecotoxicological QSTR and QSTTR modeling for the prediction of acute oral toxicity of pesticides against multiple avian species. Environmental Science & Technology 56:335−348 doi: 10.1021/acs.est.1c05732

    CrossRef   Google Scholar

    [93] Basant N, Gupta S, Singh KP. 2015. Predicting aquatic toxicities of chemical pesticides in multiple test species using nonlinear QSTR modeling approaches. Chemosphere 139:246−255 doi: 10.1016/j.chemosphere.2015.06.063

    CrossRef   Google Scholar

  • Cite this article

    Liu Z, Liu Y, Zhang H, Zhao Y, Zhang T, et al. 2025. A brief review of strobilurin fungicides: environmental exposure, transformation, and toxicity. New Contaminants 1: e004 doi: 10.48130/newcontam-0025-0002
    Liu Z, Liu Y, Zhang H, Zhao Y, Zhang T, et al. 2025. A brief review of strobilurin fungicides: environmental exposure, transformation, and toxicity. New Contaminants 1: e004 doi: 10.48130/newcontam-0025-0002

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A brief review of strobilurin fungicides: environmental exposure, transformation, and toxicity

New Contaminants  1 Article number: e004  (2025)  |  Cite this article

Abstract: Strobilurin fungicides (SFs), a class of quinone outside inhibitor (QoI) agrochemicals, have revolutionized crop protection since their commercialization in the 1990s. This critical review synthesizes global data on environmental distribution, analytical detection methods, toxicological impacts, and environmental transformation of SF. Key findings revealed: (1) SFs residues are ubiquitously detected in agricultural products (e.g., wheat, apples), aquatic systems (median concentration up to 100 μg·L–1), and human matrices (e.g., 100% detection of azoxystrobin metabolites in pregnant women's urine); (2) mitochondrial dysfunction emerges as a central toxicity mechanism, with SFs inhibiting complex III activity, reducing ATP synthesis by 28.7%–98.5% in zebrafish embryos, and inducing oxidative stress via ROS overproduction; (3) endocrine disruption and neurotoxic effects were observed at environmentally relevant concentrations (e.g., 1 μg·L–1 trifloxystrobin altered er gene expression in medaka); (4) microbial degradation dominated the environmental transformation, showing exceptional catabolic versatility. Despite advancements, critical gaps persist in mixture toxicity assessment, epidemiological correlation, and global biomonitoring. We advocate for integrated approaches combining effect modeling (QSTR/TK-TD), omics technologies, and international surveillance networks to mitigate ecological and health risks in the era of intensifying agrochemical use.

    • Strobilurin fungicides (SFs), a novel class of fungicides inspired by natural strobilurins, represent a significant advancement in agricultural chemical development[1]. Azoxystrobin (AZO), a pioneering commercial SF, was introduced by Syngenta in 1992[2,3]. Following its market debut in 1996, the application of AZO rapidly expanded, culminating in its status as the top-selling fungicide globally by 2014. The evolution of SFs continued with the introduction of methoxyiminoacetate derivatives, such as kresoxim-methyl (KM) by BASF in 1992, and trifloxystrobin (TRI) by Bayer in 1998[2]. This was followed by a wave of innovation, with industry leaders including Bayer, BASF, Shionogi, DuPont, and Aventis discovering and patenting a multitude of new SFs[4,5]; the timeline of these developments is illustrated in Fig. 1.

      Figure 1. 

      Announcement time and chemical structures of 14 strobilurin fungicides.

      The widespread adoption of SFs in agricultural practices over several decades can be attributed to their broad-spectrum efficacy, cost-effectiveness, potent germicidal activity, and rapid degradation properties[6]. By 2016, SFs had reached the pinnacle of fungicide sales, capturing a significant 20% of the global market share[7]. Data from the United States Geological Survey (USGS) reveal that in 2016, the combined application of AZO, pyraclostrobin (PYR), picoxystrobin (PICO), TRI, fluoxystrobin (FLUO), and KM in the United States reached approximately 5.7 million pounds[8], Concurrently, China's usage of these fungicides was estimated at around 10,000 tons (~220 million pounds) in 2018, underscoring the substantial reliance on SFs in major agricultural economies[9].

      The widespread application of SFs has led to numerous instances of environmental contamination on a global scale, reflecting their extensive use in agriculture. For example, residues of SFs have been identified in various crops and vegetables across Europe, as well as in wheat in China. Additionally, these compounds have been detected in environmental matrices such as surface water, groundwater, and both indoor and outdoor dust in the United States[10,11]. The concentrations of SFs in aquatic systems can exceed 100 μg·L–1, posing a potential threat to aquatic biodiversity due to their increasing application in crop protection and subsequent entry into water bodies. Initially perceived as non-toxic to humans, birds, and other mammals, emerging research has revealed that SFs exhibit significant toxicity to aquatic organisms[5]. Among these, PYR, AZO, and KM are identified as the most toxic fungicides to aquatic ecosystems[8].

      SFs are predominantly utilized as protectants, curative agents, and translaminar fungicides, offering versatile applications in plant disease management[12]. A pivotal factor contributing to the remarkable commercial success of AZO is its broad-spectrum efficacy against fungi from all four major classes of plant pathogens: Ascomycetes, Basidiomycetes, Deuteromycetes, and Oomycetes[3,12]. Biochemically, SFs are classified as quinone outside inhibitors (QoI), exerting their fungicidal activity by disrupting energy production within fungal cells, as illustrated in Fig. 1. The (E)-β-methoxyacrylate group, highlighted in red, represents the toxiphoric moiety central to the structure and function of SFs[12]. Mechanistically, SFs inhibit electron transfer at the quinol oxidation site (Qo site) of the cytochrome bc1 complex, thereby obstructing adenosine triphosphate (ATP) synthesis[2]. Furthermore, this inhibition can result in electron leakage from the mitochondrial respiratory chain, triggering cellular oxidative stress. This oxidative stress is subsequently mitigated by mitochondrial manganese superoxide dismutase (MnSOD), which plays a critical role in detoxification[13].

      The ecological risks posed by SFs are of growing concern due to their extensive agricultural application, pervasive environmental occurrence, and unintended ecological consequences stemming from non-target toxicity. Nevertheless, critical knowledge gaps persist regarding their current environmental status, analytical detection methodologies, and toxicological profiles in aquatic and terrestrial ecosystems, while future research priorities remain poorly defined. Thus, in this critical review, we first compiled the occurrence of SFs across various environmental matrices, agricultural crops, and human metabolites, alongside a summary of analytical methodologies for detecting these compounds in diverse sample types. Subsequently, we delved into the toxicological impacts of SFs, encompassing mitochondrial dysfunction, oxidative stress, endocrine-disrupting effects, and neurotoxicity. Furthermore, we explored potential degradation pathways of strobilurin fungicides based on different transformation routes. Conclusively, we identified current research gaps and proposed future directions for exploration, offering recommendations to advance the current state of SF research.

    • The physico-chemical properties and structural characteristics of SFs are summarized in Table 1. Generally, all natural strobilurins share a common methyl (E)-3-methoxy-2-(5-phenylpenta-2,4-dienyl) acrylate moiety, with variations primarily occurring in the aromatic ring substitutions at positions 3 and 4. These compounds exhibit relatively complex structures, which introduce multiple metabolic reaction sites, thereby facilitating diverse metabolic pathways.

      Table 1.  Physico-chemical properties and structural characteristics of strobilurin fungicides

      Compound Abbreviation Structure Molecular formula CAS M.W. Log Kow Log Koa Log Koc Solubility in water (mg L−1) at 20 °C
      Azoxystrobin AZO C22H17N3O5 131860-33-8 403.40 1.58 14.03 3.05 11.61
      Kresoxim-methyl KM C18H19NO4 143390-89-0 313.40 3.40 2.00
      Pyraclostrobin PYR C19H18ClN3O4 175013-18-0 387.80 5.45 17.32 3.48 1.43
      Trifloxystrobin TRI C20H19F3N2O4 141517-21-7 408.40 6.62 9.86 3.35 0.39
      Fluoxystrobin FLUO C21H16ClFN4O5 361377-29-9 458.80 2.86 2.56
      Picoxystrobin PICO C18H16F3NO4 117428-22-5 367.30 3.60 3.10
      Dimoxystrobin DIMO C19H22N2O3 149961-52-4 326.40 3.59 3.50
      Metominostrobin METO C16H16N2O3 133408-50-1 284.30 3.69 10.11 2.24 158.00
      Mandestrobin MAND C19H23NO3 173662-97-0 313.40 3.51 15.80
      Fenamidone FE C17H17N3OS 161326-34-7 311.40 2.80 7.80
      Famoxadone FA C22H18N2O4 131807-57-3 374.40 4.89 10.38 3.45 0.47

      Most SFs demonstrate moderate to high hydrophilicity, with a median log octanol-water partition coefficient (Kow) of 3.59 (Fig. 2). Although their water solubility varies significantly across groups (median log water solubility ranging from −0.41 to 1.06; Fig. 2), they are frequently detected in aquatic environments. Additionally, SFs generally exhibit moderate adsorption potential to organic carbon, with a median log organic carbon-water coefficient (Koc) of 3.35 (Fig. 2). These compounds tend to accumulate in environmental organic phases due to their low volatility, as indicated by a high log octanol-air partition coefficient (Koa) of 10.38 (Fig. 2). Notably, when log Koa > 8 and log Kow > 5, compounds exhibit low water solubility and are more likely to adsorb to particulate matter in both the atmosphere and water bodies[14], TRI and PYR meet these criteria (Table 1), suggesting their potential for higher concentrations and detection frequencies in atmospheric and aquatic particulate matter. For most aquatic organisms, compounds with 5 < log Kow < 8 exhibit strong bioaccumulation potential[15], TRI and PYR are likely to demonstrate significant bioaccumulation, whereas compounds with log Kow<5, such as AZO, KM, metaminostrobin (METO), fenamidone (FE), FLUO, PICO, dimoxystrobin (DIMO), and mandestrobin (MAND), exhibit higher hydrophilicity and reduced partitioning into lipid tissues, resulting in lower bioaccumulation potential (Table 1). In contrast to aquatic organisms, compounds with 2 < log Kow < 5 and log Koa > 6 can still achieve bioaccumulation in atmospheric media through respiratory uptake[15], and METO and femoxadone (FA) may utilize this pathway for accumulation.

      Figure 2. 

      Violin plots of physico-chemical properties related to mobility and dissipation for strobilurins fungicides currently registered for use in the EU (log Kow: n = 11, log Koa: n = 5, log Koc: n = 5, log water solubility (20 °C): n = 5). Black bars within violins represent medians.

    • SFs were initially introduced for agricultural use, but their widespread application has led to the detection of SF residues in both environmental and biological systems. While early concerns focused on residues in agricultural soils and crops, recent attention has shifted to the potential toxicity of SFs to aquatic ecosystems and human health[16]. This review synthesizes the literature on the occurrence of SFs, with agricultural products such as crops, beans, fruits, vegetables, and grape wine being the most commonly analyzed for SF concentrations. Environmental monitoring has primarily targeted soil, surface water, and indoor/outdoor dust, while human and biological sample analyses are increasingly being developed (Table 2).

      For the analysis of SFs residues in foodstuffs, including fruits and vegetables, the QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) method is widely employed as a pretreatment technique, typically using acetonitrile (ACN) as the extraction solvent[1724]. Additional sample preparation methods, such as liquid-liquid microextraction (LLME) and solid-phase extraction (SPE), have also been utilized, with various organic solvents tailored to specific sample types. In environmental matrices, a magnetic SPE extraction method coupled with high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) has been developed for detecting AZO, orysastrobin (ORY), PICO, DIMO, and KM in lake and tap water. This method has been demonstrated to be simple, time-efficient, and highly sensitive[25]. Research on SFs residue analysis in biological samples remains limited, with pretreatment methods largely mirroring those used for environmental and agricultural samples[2630].

      Instrumental analysis of SFs has predominantly relied on liquid chromatography (LC) and gas chromatography (GC) coupled with tandem mass spectrometry (MS/MS). In 2007, Flores et al. pioneered the determination of AZO residues in grapes, must, and wine using a multicommuted flow injection-solid phase spectroscopy (FI-SPS) system combined with photochemically induced fluorescence (PIF)[31]. Guo et al. advanced the field by developing a nonaqueous micellar electrokinetic capillary chromatography method with indirect laser-induced fluorescence (LIF), offering advantages such as low solvent consumption, rapid analysis, and high separation efficiency. This method achieved limits of quantification (LOQs) of 0.001 mg·kg–1 for AZO, KM, and PYR, significantly lower than those obtained by traditional HPLC-MS or GC-MS[32]. Additionally, fluorescence polarization immunoassays (FPIAs) based on monoclonal antibodies have been optimized for the detection of SFs in vegetables and fruits, providing a sensitive and specific analytical approach[33].

      Table 2.  Extraction, purification, and analytical methods of strobilurin fungicides

      Matrix Target SFs Sample preparation Analytical technique Recovery (RSD) LOQ Ref.
      Vegetable, fruit, and food
      Bean AZO, KM, TRI, DIMO,
      FLUO, PICO, PYR
      LLME (ACN/H2O 9:1b) HPLC/UV-AD 61.6%–98.8% (< 10%) 0.004–0.005 mg·kg–1 [34]
      Rice ORY LLME (DCM/n-Hexane 20:80)
      Florisil Column Chromatography (EA/DCM 10:90)
      HPLC-UV
      LC-MS/MS
      83.9%–92.3%
      80.6%–114.8%
      0.02 mg·kg–1
      0.002 mg·kg–1
      [35]
      Apple, grape, wheat AZO, KM, TRI Extracted: EA/Cyclohexane
      Clean-up: GPC
      GC-EC
      GC-NP
      GC-MS
      70%–114% a [36]
      Pomegranate AZO, PYR d-SPE (ACN) LC-MS/MS 78.7%–98% (< 20%) 0.005 mg·kg–1 [17]
      Pepper PYR, PICO QuEChERS (ACN) UPLC-MS/MS 91%–107%
      (3.7%–9.6%)
      0.12–0.61 μg·kg–1 [21]
      Watermelon FA LLextraction: DCM
      Clean-up: Acetone/petroleum 1:9)
      HPLC-UVD 84.91%–99.41%
      (0.06%–4.93%)
      [37]
      Cucumber PYR QuEChERS UHPLC-MS/MS 89.8%–103.6%
      (3.6%–7.5%)
      8.1 μg·kg–1 [18]
      Grape, must, wine AZO SPE (MeOH)
      SPE (DCM)
      PIF-FI-SPS 84.0%–87.6%,
      95.5%–105.9%,
      88.5%–111.2%
      21 μg·kg–1
      18 μg·L–1
      8 μg·L–1
      [31]
      Jujube PYR, AZO QuEChERS (ACN) LC-MS/MS 87.5%–116.2%
      (3.2%–14.7%)
      0.01–0.2 mg·kg–1 [24]
      Watermelon TRI QuEChERS (ACN) GC-MS/MS 78.59%–92.66% 0.01 mg·kg–1 [23]
      Apple tree bark PYR QuEChERS (ACN-Ammonia) HPLC-VWD 86.1%–101.4% 0.028–0.080  mg·kg–1 [20]
      Green bean, pea AZO LLME (ACN) HPLC-UV
      GC-MS
      81.99%–107.85%
      (< 20%)
      76.29%–100.91%
      (< 20%)
      0.1 mg·kg–1 [38]
      Banana AZO QuEChERS-Citrate (ACN) GC-SQ/MS 0.022–0.199 mg·kg–1 [19]
      Pomegranate AZO, PYR QuEChERS (ACN);
      d-SPE (n-Hexane /acetone 9:1)
      LC-MS/MS
      GC-MS
      78.7%–98% (< 20%) 0.005 mg·kg–1
      0.01 mg·kg–1
      [17]
      Water, juice, wine, vinegar PICO, PYR, TRI d-LLME (DES: thymol, octanoic acid) HPLC 77.4%–106.9%
      (0.2%–6.8%)
      [39]
      Rice TRI Extraction solvent (ACN) LC-MS/MS 74.3%–103.0% (0.5%–6.8%%) [40]
      Cereal AZO, PYR,
      TRI
      d-LLME-SFOD (Nonanoic acid) HPLC-MS/MS 82.0%–93.2%
      (1.6%–7.4%)
      [41]
      Apple, citrus, cucumber, potato, tomato AZO,
      KM,
      PYR
      Electrokinetic capillary chromatography 81.7%–96.1%
      86.5%–95.7%
      87.3%–97.4%
      0.005–2.5 mg·kg–1 [32]
      Tea TRI QuEChERS GC-MS 80.7%–105.8% (<9.3%) 0.05 mg·kg–1 [22]
      Red wine TRI, KM,
      PICO
      Cross-linked poly as a sorbent FPIAs-monoclonal antibodies 80%–104% (<12%) [33]
      Cotton seed TRI, PICO,
      KM, AZO
      d-LLME (ACN) GC-ECD 87.7%–95.2%
      (4.1%–8.5%)
      [42]
      Grape wine AZO, KM, TRI, PYR, FA, FE LLME (EA/n-Hexane 50:50) LC-ADA
      GC-MS
      95.5% ± 5%
      104% ± 6%
      0.3–0.6 mg·L–1
      0.4–0.8 mg·L–1
      [43]
      Environmental media
      Lake, river, tap water AZO, ORY, PICO,
      DIMO, KM
      Magnetic SPE HPLC-MS/MS 80.8%–109% 0.18–0.24 mg·L–1 [25]
      Soil, water, FA SPE (ACN) UHPLC-Orbitrap-MS 70%–120% (< 20%) 0.1 mg·kg–1
      1 μg·L–1
      [44]
      Atmosphere AZO,
      DIMO,
      FLUO,
      KM,
      PYR,
      TRI
      LC-MS/MS 91.6% ± 12.2%
      99.9% ± 5.6%
      100.8% ± 10.4%
      101.2% ± 0.2%
      99.9% ± 0.7%
      97.7% ± 6.3%
      [45]
      Biological Sample
      Fish gill, blood, liver, muscle, PYR Mixtures of PSA, C18, MgSO4
      QuEChERS-PC
      Waters Oasis HLB SPE
      UPLC-MS/MS 112.5%–276.2%
      (< 10%)
      45.3%–259.7%
      (< 10%)
      86.94%–229.9%
      (< 10%)
      0.002 mg·kg–1 [26]
      Human urine AZO, PYR d-LLME (Choline chloride / sesamol 1:3) HPLC-MS/MS 50%–101% 0.03–0.07 ng·mL–1 [28]
      Human urine AZO SPE (ACN) UHPLC-Orbitrap-MS 90%–103% 0.01 ng·mL–1
      Human blood AZO, FA SPE (Dichloromethane /
      methanol 9:1)
      GC-MS/MS 70%–120% (< 20%) < 1.45 ng·mL–1 [30]
      Indoor dust
      New dry wall, gypsum, house dust AZO,
      PYR,
      TRI,
      FLUO
      Extracted: DACM/Hexane,1:1
      Clean-up: ENVI-Florisil
      LC-MS/MS 92%–96%
      73%
      36%
      38%
      [11]
      Indoor dust AZO, FLUO, TRI, PYR Extracted: ACN
      Clean-up: ENVI-Florisil
      UHPLC-MS/MS 91.2%–108% 0.005–0.01 ng·mL–1 [46]
      a: '–' indicates that the sample preparation method or recovery data were not recorded in the related literature. b: Extraction solvent ratio, indicated by the volume ratio. Abbreviation: d-LLME (Dispersive Liquid-Liquid Microextraction), d-SPE (Dispersive Solid Phase Extraction), GPC (Gel Permeation Chromatography), DES (Deep Eutectic Solvents), SFOD (Solidification floating organic droplets), ACN (Acetonitrile), DCM (Dichloromethane).
    • SFs are extensively utilized in agricultural practices, with residues reported in staple crops such as wheat, rice, cucumbers, apples, and grapes across regions including China, Brazil, the United States, and Europe (Table 3). Among these, AZO exhibits the highest detection frequency, likely attributable to its early commercialization and widespread adoption. Notably, the highest concentrations of AZO have been documented in wheat, whereas TRI shows the lowest levels. Research on SFs residues in foodstuffs predominantly appears in food science journals, focusing on the development and validation of analytical methods, as well as the assessment of environmental residue concentrations.

    • Owing to their broad application in crop disease management, SFs residues were initially reported in agricultural soils, followed by detections in surface water, drinking water, sediments, and indoor dust (Table 3). Compounds such as AZO, FLUO, PYR, and TRI are frequently detected across environmental matrices, demonstrating seasonal fluctuations characterized by elevated concentrations in summer and reduced levels in winter. This pattern aligns with agricultural application cycles, where fungicide use peaks during warmer months. Furthermore, SF concentrations in soils and sediments typically exceed those in aquatic systems, a phenomenon driven by their moderate adsorption potential to organic carbon (median log Koc for SFs: 3.35), which promotes hydrophobic partitioning into organic-rich environmental phases[25, 4750].

      Table 3.  Concentrations of strobilurin fungicides in foodstuffs and environmental media

      Matrix Target SFs Concentration Region Ref.
      Foodstuff
      Wheat PYR 0.08–9.91 mg·kg–1 China [51]
      Ginseng root, Ginseng stem and leaf AZO 0.343–9.40 mg·kg–1 China [52]
      Pepper PYR 1.68–3.27 mg·kg–1 China [21]
      PICO 2.79–2.80 mg·kg–1
      Coffee bean AZO < 1.43 μg·kg–1 Brazil [34]
      DIMO < 1.46 μg·kg–1
      KM < 1.48 μg·kg–1
      PICO < 1.33 μg·kg–1
      TRI < 1.54 μg·kg–1
      Watermelon leaf Fa 19.695 mg·kg–1 China [37]
      Banana AZ 0.05–2.0 mg·kg–1 Brazil [19]
      Corn AZO 0.01–0.024 mg·kg–1 China [53]
      TRI < LOQ
      PYR 0.013–0.065 mg·kg–1
      Apple PYR 0.01–0.070 mg·kg–1 China [54]
      Dried grape PYR 0.01–0.024 mg·kg–1 Turkey [55]
      Dried apricot TRI 0.01–0.162 mg·kg–1
      Environment
      Soil AZO 0.726 mg·kg–1 China [52]
      Soil AZO 8.9–15.7 μg·kg–1 Vietnam [56]
      Sediment 5.5–35.0 μg·kg–1
      Drinking water AZO 0.37–3.66 ng·L–1 China [50]
      FLUO < MDL ~0.011 ng·L–1
      PYR 0.01–0.25 ng·L–1
      TRI 0.07–1.03 ng·L–1
      Suspended solid AZO 0.02–0.01 ng·L–1 China [50]
      FLUO < MDL
      PYR 0.04–0.48 ng·L–1
      TRI < MDL ~ 0.007 ng·L–1
      Drinking water AZO 0.036–2.41 μg·L–1 Vietnam [57]
      TRI 0.003–0.56 μg·L–1
      Stream AZO 0.008–1.13 μg·L–1 the United States [58]
      PYR 0.006–0.054 μg·L–1
      Groundwater AZO 0.2–0.9 ng·L–1 the United States [49]
      PYR 0.1–4.8 ng·L–1
      Surface water AZO 30.6–59.8 ng·L–1 the United States [49]
      PYR 15.2–239 ng·L–1
      Surface water AZO 0.01–47.3 ng·L–1 China [59]
      FLUO < MDL ~0.10 ng·L–1
      PYR 0.01–0.52 ng·L–1
      TRI < MDL ~0.21 ng·L–1
      Indoor dust AZO < MDL ~21.9 ng·g–1 China [46]
      FLUO < MDL ~1.91 ng·g–1
      PYR < MDL ~1,946 ng·g–1
      TRI < MDL ~9.52 ng·g–1
    • Concerns regarding the potential health risks of SFs to humans have grown in recent years. However, research on SF residues in human matrices remains limited, with only a small number of studies reporting detectable concentrations to date.

    • Jamin et al. pioneered the identification of AZO metabolites in urine samples from 3,421 pregnant women in France[60]. In 2010, AZO and FA were detected in blood samples from pregnant women in China, with mean concentrations (detection rates) of 0.08 ng·mL–1 (3%) and 0.27 ng·mL–1 (23%), respectively[30]. Hu et al. reported AZO exposure (measured as AZ-acid) in 100% of urine samples from pregnant women and 70% of samples from children, with median levels of 0.10 and 0.07 ng·mL–1, respectively. The average estimated daily intake (EDI) was 75.6 ng·kg–1·d–1 for pregnant women, and 112.6 ng·kg–1·d–1 for children[29].

    • Gallo et al. analyzed urine samples from 10 healthy volunteers, detecting AZO (0.03 µg·g–1 creatinine), and PYR (0.03 µg·g–1 creatinine) in only one individual[28].

    • SFs function by inhibiting ATP synthesis and disrupting fungal energy metabolism. However, growing evidence highlights their unintended mitochondrial toxicity in non-target aquatic organisms. Mitochondrial dysfunction is typically quantified through oxygen consumption rate (OCR) measurements, including basal respiration, oligomycin-sensitive ATP-linked respiration, FCCP-uncoupled maximal respiration, and non-mitochondrial oxygen consumption[61].

    • In zebrafish embryos, Yang et al. demonstrated that lethal concentrations of PYR (486 μg·L–1), TRI (403 μg·L–1), and AZO (408 μg·L–1) reduced OCR by 98.5%, 73.1%, and 28.7%, respectively, indicating potent suppression of both mitochondrial and non-mitochondrial respiration[62]. Even sublethal PYR exposure (100 μg·L–1) significantly diminished basal respiration and non-mitochondrial OCR in embryos[9].

    • Exposure to 10–20 µg·L–1 AZO or PYR in zebrafish larvae markedly reduced activities of mitochondrial complex III (ubiquinol-cytochrome c reductase) and complex IV (cytochrome c oxidase), coupled with diminished ATP content[63,64]. Cao et al. directly visualized mitochondrial ultrastructural damage, including membrane degradation, rupture, and swelling, in zebrafish liver tissues following 8-d AZO exposure (10 μg·L–1). Notably, larval zebrafish exhibited greater susceptibility to AZO-induced mitochondrial dysfunction than adults, accompanied by downregulated Cytb transcription[63].

    • Transcriptomic profiling of zebrafish exposed to TRI, KM, AZO, or PYR during early developmental stages revealed significant perturbations in pathways associated with apoptosis, carcinogenesis, organelle membranes, and mitochondrial integrity[65]. In fish, gills serve as primary sites for pollutant uptake; acute PYR exposure (500 μg·L–1) induced severe histopathological lesions, mitochondrial dysfunction, energy depletion, and respiratory impairment in gill tissues[66].

    • Liu et al.[67] demonstrated that KM, PYR, TRI, and PICO at environmentally relevant concentrations (10–50 μg·L–1) inhibited bc1 complex activity in Chlorella vulgaris, impairing photosynthetic efficiency. Comet assays further revealed DNA damage in algal cells, suggesting genotoxic risks posed by SFs in aquatic ecosystems[7].

    • AZO has been shown to dose-dependently inhibit cellular respiration by targeting the quinol oxidation (Qo) site of mitochondrial complex III in rat liver. Interestingly, AZO also demonstrated systemic benefits in regulating glucose and lipid homeostasis in high-fat diet-fed mice, suggesting a dual role in metabolic modulation[68].

    • Exposure to KM at concentrations below the Acceptable Daily Intake (ADI) induced mitochondrial dysfunction in fibroblast-like renal Vero cells, characterized by elevated mitochondrial superoxide production and reduced mitochondrial transmembrane potential[69]. Similarly, Jang et al. investigated the effects of TRI on human skin keratinocytes (HaCaT cells) at the organelle level, revealing that mitochondrial damage and mitophagy contribute to keratinocyte toxicity. These findings suggest a potential mechanistic link between TRI exposure and the development of skin diseases (Table 4)[70].

      Table 4.  Human related toxicity studies of strobilurin fungicides

      Target SFs Research content Conclusion Ref.
      PYR Investigated the toxicological risks of PYR toward HepG2 cells and the mechanisms of intoxication in vitro. PYR induced DNA damage and mitochondrial dysfunction, leading to excessive generation of intracellular ROS, which ultimately resulted in mitochondrial-mediated cell apoptosis and toxic effects on human hepatocarcinoma HepG2 cells. [81]
      PYR, TRI, FA, FE Identified transcriptomic signatures shared with neurological disorders by exposing mouse cortical neuron-enriched cultures to PYR, TRI, FA, and FE. PYR, TRI, FA, and FE induced transcriptional changes in vitro. By inhibiting mitochondrial complex III, and they upregulated Nrf2-targeted antioxidant response genes and Rest. These changes are associated with human brain aging and neurodegeneration. [79]
      TRI Explored the mechanism of TRI-mediated mitophagy in human skin keratinocytes exposed to TRI. Mitochondrial damage and mitophagy likely contribute to TRI-induced toxicity in human keratinocytes, suggesting a potential mechanism for cutaneous diseases developed upon exposure. [70]
      AZO Explored the effects of AZO on human esophageal squamous cell carcinoma KYSE-150 cells and investigated the underlying mechanisms. AZO effectively induced apoptosis in esophageal cancer cells via mitochondrial-mediated apoptotic pathways. [72]
      PYR Using a multi-analytical approach that integrates toxicological database mining, protein-protein interaction (PPI) network analysis, and molecular docking, we studied the molecular mechanisms of PYR toxicity. PYR exposure was significantly associated with pathways related to prostate cancer and renal dysfunction, indicating its potential role as an inducer of these diseases. [82]
    • Beyond its environmental and toxicological implications, AZO has shown promise as a potential chemotherapeutic agent. Studies have demonstrated that AZO induces apoptosis in cancer cells, including esophageal squamous cell carcinoma (KYSE-150)[71,72], and hepatocellular carcinoma (HepG2)[68,73], through activation of the mitochondrial apoptotic pathway. This highlights the potential for repurposing AZO as a therapeutic agent in oncology.

    • Accumulating evidence has demonstrated that exposure to SFs can induce oxidative stress in biological organisms. PYR has been shown to disrupt oxidative balance in earthworms, primarily characterized by a dose-dependent increase in reactive oxygen species (ROS) levels. This elevation in ROS can impair the antioxidant defense system, ultimately leading to DNA damage[74]. Similarly, TRI, AZO, and KM have been reported to alter antioxidant enzyme activities, including increased catalase (CAT) and peroxidase (POD) activities and decreased superoxide dismutase (SOD) activity. These changes weaken the oxidative defense system and exacerbate oxidative stress, resulting in developmental impairments. Additionally, exposure to these SFs downregulated the expression of growth-related genes such as IGF-1, IGF-2, and GHR, leading to abnormal growth and developmental malformations[67]. Cao et al. investigated the effects of AZO exposure on maternal zebrafish and their offspring, revealing that maternal toxicity influenced the expression of oxidative stress-related genes in embryos. Furthermore, offspring exposed to the same environment exhibited more severe oxidative stress responses, highlighting the potential for transgenerational impacts of SFs on aquatic organisms[75].

    • SFs, including TRI, KM, PYR, and AZO, have demonstrated significant detrimental effects on the development and reproduction of aquatic species such as medaka, D. magna, and zebrafish. These substances act as potential endocrine disruptors and induce various developmental malformations.

    • Exposure to TRI disrupts the sex hormone pathway and xenobiotic metabolism in medaka, significantly up-regulating the mRNA levels of the er gene at concentrations above 1 μg·L–1. This disruption adversely affects embryonic and larval development[76]. The reproduction of D. magna is significantly affected by the three SFs (KM, PYR, and TRI). Increased concentrations of these fungicides result in reduced brood numbers per female and decreased fecundity, with females showing particularly high sensitivity[77].

    • Exposure to SFs results in the up-regulation of genes related to apoptosis, disease infection, and cancer pathways[65].

    • Although high concentrations of TFS, KM, AZO, and PYR do not cause embryonic mortality in zebrafish, they lead to developmental issues such as reduced hatching rates, pericardial edema, decreased heart rates, and impaired metabolic cycles[6,8,16,67]. According to Wu et al., exposure to PYR, TRI, and AZO induces lethal and teratogenic effects, with affected embryos exhibiting microcephaly, hypopigmentation, somite segmentation, and narrow fins. These effects are consistent across single and combined exposures, displaying a strong synergistic interaction that enhances malformation rates in a concentration-dependent manner[78].

    • Few studies were focused on the neurotoxicity of SFs, but certain evidence proved that PYR, TRI, FA, and FE might induce transcriptional changes in vitro, which were similar to those seen in brain samples from humans with autism, Alzheimer's disease, and Huntington's disease (Table 4)[79]. In primary cultured mouse cortical neurons, KM and PYR were found to be highly neurotoxic, with LC50 in the low micromolar and nanomolar levels, respectively[80]. Further study showed that they could cause a rapid rise in intracellular calcium and strong depolarization of mitochondrial membrane potential. KM- and PYR-induced cell death was reversed by the calcium channel blockers MK-801 and verapamil, suggesting that calcium entry through NMDA receptors and voltage-operated calcium channels are involved in KM- and PYR-induced neurotoxicity. Studies in mice revealed that AZO transferred from the mother to the offspring during gestation by crossing the placenta and entered the developing brain, and high levels of cytotoxicity were observed in embryonic mouse cortical neurons[29].

    • The primary pathways, core mechanism, compound-specific behaviors and key drivers for both abiotic and biotic transformation of the SFs are illustrated in Fig. 3. The detailed discussion is shown below.

    • Abiotic transformation of SFs involves multiple metabolic pathways based on their molecular structure. These pathways include the formation of free acrylic acid through the hydrolysis of methyl esters, aromatic cyclohydroxylation, and conjugation with glutathione or other biological groups. Additionally, the double bonds in the acrylic moiety can undergo epoxidation, forming carboxyl groups or alcohols through the addition of hydrogen or water[83]. In aquatic environments, KM is particularly prone to forming acidic metabolites, influenced significantly by abiotic factors such as pH, temperature, light, and atmospheric CO2 levels[4]. Photoconversion of AZO is expected to occur through several parallel reaction pathways, including photoisomerization (E/Z), photohydrolysis of methyl and nitrile groups, cleavage of acrylate double bonds, and cleavage of photohydrolytic ethers between aromatic rings to yield phenols. Furthermore, oxidative cleavage of acrylate double bonds is also observed[83]. Under field conditions, photolysis is the primary degradation pathway for TRI, with the duration of sunlight exposure being a critical factor[84]. In contrast, PYR undergoes rapid transformation under conditions of humid air, with the organic matter content, microbial population, and soil moisture serving as the primary influencing factors[6]. Meanwhile, MAND, which features a unique methoxyacetamide functional group, exhibits resistance to alkaline hydrolysis, similar to mandestrobin, which also possesses this methoxyacetamide moiety and shows comparable resistance[85]. We further compared the half-lives of these SFs across different environmental matrices. In aquatic systems, MAND demonstrated the shortest photolytic half-life (1.2–3 d) under light exposure, followed by KM with an aqueous half-life of 5.2 d. AZO exhibited the longest persistence in water with a half-life of 15 d. For soil environments, TRI and PYR showed comparable photolysis half-lives of 8.8 and 9.2 d, respectively.

    • Microbial degradation stands out as the primary biotransformation pathway for SFs, with specific soil microorganisms utilizing these chemicals as carbon sources. Notably, four species, Stenotrophomonas maltophilia, Bacillus amyloliquefaciens, Bacillus flexus, and Arthrobacter oxydans, are known to metabolize TRI for carbon[86]. These species were isolated through a sequential soil and liquid culture enrichment technique. Additionally, two strains, Cupriavidus sp. CCH2 and Rhodanobacter sp. CCH1, have been isolated for their ability to use AZO as their exclusive carbon and nitrogen source, and they can also degrade TRI, PYR, and KM when additional carbon is available[87,88]. Significant differences in the degradation rates of SFs were observed between microbial strains. Specifically, CCH1 demonstrated universally higher degradation efficiency than CCH2 for three strobilurins—AZ (DT25: 2.0 d vs 2.2 d), PYR (2.3 d vs 2.8 d), and KM (2.6 d vs 2.9 d)—with the most pronounced disparity occurring in PYR degradation. Additionally, TRI exhibited the slowest degradation across both strains (identical DT25 of 4.2 d), markedly exceeding other SFs. Other studies have shown that HI2 and HI6 achieved a PYR degradation rate of 0.1 mg·(L·d)–1.

      While SFs have a complex structure with numerous active sites, the underlying molecular mechanisms of their biodegradation are consistent across different species. Carboxyester hydrolysis by esterases is often the primary degradation mechanism in the microbial-guided biotransformation of strobilurins. This enzymatic process effectively cleaves the ester bonds within the molecules, initiating degradation and enabling further metabolic transformations[12,88,89].

      Figure 3. 

      Comparison of abiotic vs biotic transformation pathways for strobilurin fungicides.

    • The widespread presence of SFs in environmental media, foodstuffs, and human populations suggests a large-scale and potentially global contamination trend. Human exposure to SFs occurs through various pathways that have been established for other pesticides, including oral ingestion, dermal absorption, hand-to-mouth transfer, and additional mechanisms. To date, human biomonitoring studies remain limited, and Tolerable Daily Intake (TDI) values are generally lacking for SFs. Available research indicates that SFs exhibit toxicity not only to aquatic species but also to mammals, including humans. However, the existing data are insufficient for a comprehensive assessment of human exposure routes and associated risks for SFs. Further research is necessary across multiple domains, including environmental monitoring, toxicological effects, biomonitoring, and human exposure assessments. Knowledge gaps have been identified and prioritized to the best of our current understanding to guide future research endeavors.

    • Despite the widespread use of SFs, critical gaps persist in characterizing their environmental distribution. Comprehensive monitoring across matrices such as air, indoor/outdoor dust, drinking water, and consumer products remains limited. Large-scale regional and global studies are urgently needed to establish baseline concentrations and evaluate the spatial-temporal dynamics of these emerging contaminants. Concurrently, exposure pathways—including dietary and non-dietary routes—must be systematically quantified, particularly for sensitive populations (e.g., children, pregnant women). Advanced analytical frameworks integrating source tracking, fate modeling, and biomonitoring are essential to refine risk assessments and inform regulatory policies.

    • While mitochondrial dysfunction has been identified as a primary toxicity endpoint for SFs in mammals, the molecular mechanisms driving these effects remain poorly understood. Current research disproportionately focuses on mitochondrial endpoints, neglecting potential interactions with other cellular pathways (e.g., epigenetic regulation, immune disruption). Cutting-edge omics technologies (e.g., transcriptomics, metabolomics, proteomics) should be prioritized to unravel systemic toxicity profiles and identify novel biomarkers of effect. Furthermore, investigations into mixture toxicity and cumulative effects are critical, given the co-occurrence of SFs with other agrochemicals in environmental matrices.

    • Epidemiological data linking SFs exposure to human health outcomes are strikingly scarce. Robust cohort studies incorporating biomonitoring (e.g., urine, blood SF metabolites) and longitudinal health assessments are imperative to evaluate associations with chronic diseases, developmental anomalies, and endocrine disorders. Special attention should be directed toward agricultural communities and regions with intensive SF usage, where exposure levels are likely elevated. Harmonized methodologies for exposure quantification and outcome measurement are needed to ensure comparability across studies.

    • Empirical testing of SF toxicity across all ecologically relevant species—particularly under realistic exposure scenarios involving mixtures and environmental stressors—is logistically unfeasible. Effect modeling offers a transformative alternative:

      Toxicokinetic-Toxicodynamic (TK-TD) Models: proven frameworks for predicting time-dependent toxicity under variable exposure regimes[90,91], such as those based on acute mortality data, should be expanded to sublethal endpoints (e.g., growth inhibition, reproductive impairment).

      Quantitative Structure-Toxicity Relationship (QSTR) Models: existing multi-species QSTR models, which accurately predict SFs toxicity across 20 indicator species (invertebrates and vertebrates), warrant validation in field conditions and extension to underrepresented taxa[92,93].

      Mixture Toxicity Modeling: integrate chemical interaction algorithms (e.g., concentration addition, independent action) to assess cumulative risks of SFs co-exposures[90].

      • study conception and design, authorship team assembling, writing − draft manuscript preparation: Xue J, Liu Z, Liu Y; metadata compiling and analysis: Liu Z, Liu Y; writing − manuscript editing: Zhang H, Zhao Y, Zhang T, Cai Y. All authors commented on the draft and gave final consent for publication.

      • The datasets generated during and/or analyzed in the current study are available from the corresponding author on reasonable request.

      • This work was supported by the Basic Science Center Project of the Natural Science Foundation of China (52388101), the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (2019ZT08L213), the Natural Science Foundation of China (42377376), the Guangdong Provincial Key Laboratory Project (2023B1212060068), and the R & D program of Guangdong Provincial Department of Science and Technology (2024B1212040004).

      • The authors declare that they have no known competing financial interests or personal relationships that could have influenced the work reported in this paper.

      • SF residues are ubiquitous in crops, aquatic systems, and humans, indicating widespread exposure and risks.

        Mitochondrial dysfunction underpins SF toxicity: inhibiting complex III, reducing ATP 28.7%–98.5%, and inducing ROS in zebrafish.

        At environmental levels, SFs trigger endocrine and neurotoxicity, indicating low-dose risks.

        Microbial degradation dominates SF transformation, offering novel remediation insights.

      • # Authors contributed equally: Zhilei Liu, Yuxian Liu
        Full list of author information is available at the end of the article.

      • Copyright: © 2025 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (3)  Table (4) References (93)
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    Liu Z, Liu Y, Zhang H, Zhao Y, Zhang T, et al. 2025. A brief review of strobilurin fungicides: environmental exposure, transformation, and toxicity. New Contaminants 1: e004 doi: 10.48130/newcontam-0025-0002
    Liu Z, Liu Y, Zhang H, Zhao Y, Zhang T, et al. 2025. A brief review of strobilurin fungicides: environmental exposure, transformation, and toxicity. New Contaminants 1: e004 doi: 10.48130/newcontam-0025-0002

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