Determination of Cyanotoxins and Prymnesins in Water, Fish Tissue, and Other Matrices: A Review.


Journal

Toxins
ISSN: 2072-6651
Titre abrégé: Toxins (Basel)
Pays: Switzerland
ID NLM: 101530765

Informations de publication

Date de publication:
16 03 2022
Historique:
received: 25 01 2022
revised: 10 03 2022
accepted: 13 03 2022
entrez: 24 3 2022
pubmed: 25 3 2022
medline: 23 4 2022
Statut: epublish

Résumé

Harmful algal blooms (HABs) and their toxins are a significant and continuing threat to aquatic life in freshwater, estuarine, and coastal water ecosystems. Scientific understanding of the impacts of HABs on aquatic ecosystems has been hampered, in part, by limitations in the methodologies to measure cyanotoxins in complex matrices. This literature review discusses the methodologies currently used to measure the most commonly found freshwater cyanotoxins and prymnesins in various matrices and to assess their advantages and limitations. Identifying and quantifying cyanotoxins in surface waters, fish tissue, organs, and other matrices are crucial for risk assessment and for ensuring quality of food and water for consumption and recreational uses. This paper also summarizes currently available tissue extraction, preparation, and detection methods mentioned in previous studies that have quantified toxins in complex matrices. The structural diversity and complexity of many cyanobacterial and algal metabolites further impede accurate quantitation and structural confirmation for various cyanotoxins. Liquid chromatography-triple quadrupole mass spectrometer (LC-MS/MS) to enhance the sensitivity and selectivity of toxin analysis has become an essential tool for cyanotoxin detection and can potentially be used for the concurrent analysis of multiple toxins.

Identifiants

pubmed: 35324710
pii: toxins14030213
doi: 10.3390/toxins14030213
pmc: PMC8949488
pii:
doi:

Substances chimiques

Cyanobacteria Toxins 0
Microcystins 0
Water 059QF0KO0R

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Devi Sundaravadivelu (D)

Pegasus Inc., U.S. EPA, Cincinnati, OH 45268, USA.

Toby T Sanan (TT)

Office of Research and Development, Center for Environmental Solutions and Emergency Response, U.S. EPA, Cincinnati, OH 45268, USA.

Raghuraman Venkatapathy (R)

Pegasus Inc., U.S. EPA, Cincinnati, OH 45268, USA.

Heath Mash (H)

Office of Research and Development, Center for Environmental Solutions and Emergency Response, U.S. EPA, Cincinnati, OH 45268, USA.

Dan Tettenhorst (D)

Office of Research and Development, Center for Environmental Solutions and Emergency Response, U.S. EPA, Cincinnati, OH 45268, USA.

Lesley DAnglada (L)

Office of Water, Science and Technology, U.S. EPA, Washington, DC 20004, USA.

Sharon Frey (S)

Office of Water, Science and Technology, U.S. EPA, Washington, DC 20004, USA.

Avery O Tatters (AO)

Center for Environmental Measurement and Modeling, U.S. EPA, Gulf Breeze, FL 32561, USA.

James Lazorchak (J)

Center for Environmental Measurement and Modeling, U.S. EPA, Cincinnati, OH 45268, USA.

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Classifications MeSH