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Cyanobacteria are prokaryotic organisms that can form large monospecific blooms, which pose a risk to human and animal health as some species produce toxic secondary metabolites called cyanotoxins. Multiclass cyanotoxin analysis is challenging due to varying chemical and physical properties between classes, as well as potentially large numbers of analogues within each class. Incorporating anatoxins (ATXs) into multiclass methods can be particularly challenging due to their small molecular size, potential interferences, polarity, and a lack of chemical standards for most analogues. Here, we present the development of a multiclass LC-MS/MS method and a quantitative calibration solution for aetokthonotoxin (AETX), an emerging cyanotoxin linked to mass mortalities of bald eagles in the Eastern United States. The developed method is capable of detecting 17 microcystins (MCs), nodularin-R, three cylindrospermopsins (CYNs), AETX, and 17 ATXs, including recently tentatively identified 10-hydroxy analogues. Analytes were identified by retention time and product ion ratio matching with available standards. The method was evaluated with respect to limits of detection (LODs), linear range, accuracy, and precision using neat and matrix matched standards. LODs in wet cyanobacterial biofilms ranged from 0.14 ng/g for CYN to 2.8 ng/g for [Dha]MC-LR with accuracies ranging from 65% for [Leu]MC-LY to 116% for CYN. Finally, the method's application was demonstrated through analysis of cyanobacterial field samples, a dietary supplement matrix reference material, and passive sampler extracts to assess versatility within different matrices.
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http://dx.doi.org/10.1007/s00216-025-05829-9 | DOI Listing |
J Chromatogr A
October 2025
Department of Chemistry, Faculty of Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada.
The diversity of trace organic contaminants (TrOCs) in complex matrices makes analytical development challenging. This study aimed to develop, optimize and validate an analytical method for extracting and quantifying 71 TrOCs. The development was performed using a factorial design with the desirability function as a quantitative tool for method optimization.
View Article and Find Full Text PDFJ Xenobiot
July 2025
Laboratory of Pharmacology and Toxicology, University Hospital Hassan II, Fez 30050, Morocco.
Pesticide exposure gradients between occupational, para-occupational, and general populations remain poorly characterized in North African agricultural contexts. This study evaluates urinary pesticide levels among farmers, indirectly exposed individuals, and a control group in Morocco's Fez-Meknes region. A cross-sectional survey measured pesticide concentrations using LC-MS/MS in urine samples collected from 154 adults residing in both rural and urban areas.
View Article and Find Full Text PDFJ AOAC Int
August 2025
Department of Agrochemicals and Pest Management, Devchand Collage, Nippani (Affiliated to Shivaji University, Kolhapur), INDIA.
Background: Chilli powder is a widely consumed spice, however during cultivation of chilli crops are often subjected to pesticide treatments to control pests and diseases. Thus, monitoring pesticide residues in such matrices is crucial for food safety and to comply with national as well as international regulations for export/import purposes. However, accurate analysis of pesticide residue in chilli powder is challenging due to its complex nature.
View Article and Find Full Text PDFFood Addit Contam Part B Surveill
August 2025
Ecotoxicology Research Program, IPEP, NARC, Islamabad, Pakistan.
A selective and robust analytical method based on BS EN 15,662:2008 extraction coupled with LC-MS/MS analysis was used to determine 72 multiclass pesticides simultaneously in tomatoes. Method accuracy ranged from 70-120%, with standard deviations ranging from 0.85% to 19.
View Article and Find Full Text PDFToxicol Rep
June 2025
Ecotoxicology Research Program, IPEP, NARC, Park Road, Islamabad, Pakistan.
The study was designed to get a real time picture of pesticide residues in tomato samples from the fields of two districts of Khyber Pakhtunkhwa and the markets of Islamabad, Pakistan. A citrate buffered QuEChERS method was validated for forty-nine multiclass pesticides belonging to carbamates, neonicotinoids, organophosphates, pyrethroids, triazines and triazoles on LC-MS/MS. The method's limits of detection and the quantification with the validated method ranged from 0.
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