Application of Targeted and Suspect Screening Workflows for Cyclic Peptide Cyanotoxin Profiling in Spirulina- and Klamath-Based Food Supplements

Spirulina (<i>Arthrospira</i> spp.) and klamath (<i>Aphanizomenon flos-aquae</i>) are widely consumed cyanobacteria-based food supplements valued for their nutritional and health-promoting properties. However, these products are susceptible to contamination by cyanotoxins, which are potent toxins produced by co-occurring cyanobacteria that may pose health risks to consumers. In this study, we applied an integrated targeted and suspect screening approach to comprehensively assess the presence of cyanotoxins in commercial spirulina- and klamath-based food supplements. Targeted analysis was performed using UHPLC-QqQ under dynamic multiple reaction-monitoring conditions optimized for the determination of twelve cyclic peptide cyanotoxins. Suspect screening was conducted using high-resolution mass spectrometry (HRMS) with a Q-Orbitrap analyser, applying a specific workflow to detect additional related compounds lacking analytical standards. The method enabled the detection and identification of multiple cyanotoxins, including microcystins, nodularin, and anabaenopeptins. The combination of targeted and suspect workflows allowed for a broader coverage of potential related cyanotoxins. Several cyanotoxins were detected in a klamath-based supplement, with high concentrations of microcystin-RR, while additional variants were identified through suspect screening. These findings highlight the need for routine monitoring and stricter regulatory oversight of cyanobacteria-based supplements to ensure consumer safety.

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Journal
Foods
Published
2025-08-26
DOI
https://doi.org/10.3390/foods14172969
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
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article

Application of Targeted and Suspect Screening Workflows for Cyclic Peptide Cyanotoxin Profiling in Spirulina- and Klamath-Based Food Supplements

Ana M. García‐Campaña, Monsalud del Olmo‐Iruela, Antonia Garrido Frenich, Laura Carbonell‐Rozas et al.
1 links
Foods
Aquatic Ecosystems and Phytoplankton Dynamics
article

Application of Targeted and Suspect Screening Workflows for Cyclic Peptide Cyanotoxin Profiling in Spirulina- and Klamath-Based Food Supplements

Ana M. García‐Campaña, Monsalud del Olmo‐Iruela, Antonia Garrido Frenich, Laura Carbonell‐Rozas, M. Mar Aparicio‐Muriana, Roberto Romero‐González
article en

Abstract

Spirulina (<i>Arthrospira</i> spp.) and klamath (<i>Aphanizomenon flos-aquae</i>) are widely consumed cyanobacteria-based food supplements valued for their nutritional and health-promoting properties. However, these products are susceptible to contamination by cyanotoxins, which are potent toxins produced by co-occurring cyanobacteria that may pose health risks to consumers. In this study, we applied an integrated targeted and suspect screening approach to comprehensively assess the presence of cyanotoxins in commercial spirulina- and klamath-based food supplements. Targeted analysis was performed using UHPLC-QqQ under dynamic multiple reaction-monitoring conditions optimized for the determination of twelve cyclic peptide cyanotoxins. Suspect screening was conducted using high-resolution mass spectrometry (HRMS) with a Q-Orbitrap analyser, applying a specific workflow to detect additional related compounds lacking analytical standards. The method enabled the detection and identification of multiple cyanotoxins, including microcystins, nodularin, and anabaenopeptins. The combination of targeted and suspect workflows allowed for a broader coverage of potential related cyanotoxins. Several cyanotoxins were detected in a klamath-based supplement, with high concentrations of microcystin-RR, while additional variants were identified through suspect screening. These findings highlight the need for routine monitoring and stricter regulatory oversight of cyanobacteria-based supplements to ensure consumer safety.

FoodsVol. 14(17)
Universidad de Granada (ES), University of Almería (ES)
Junta de Andalucía, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 81%
Aquatic Ecosystems and Phytoplankton Dynamics
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