An analytical and machine learning approach for total mercury and methylmercury determination in squid: enhancing food safety testing and traceability monitoring systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F25%3A39923278" target="_blank" >RIV/00216275:25310/25:39923278 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S030881462504018X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S030881462504018X?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.foodchem.2025.146766" target="_blank" >10.1016/j.foodchem.2025.146766</a>

Result language
angličtina
Original language name
An analytical and machine learning approach for total mercury and methylmercury determination in squid: enhancing food safety testing and traceability monitoring systems
Original language description
This study presents the first assessment of total mercury (THg) and methylmercury (MeHg) in squids (Todarodes sagittatus, L.), providing insights into contamination levels and their correlation with the geographical origin. A method based on acidic extraction of THg, re-extraction of MeHg into toluene, and back-extraction into Lcysteine, followed by direct mercury analysis, was refined through a robust multivariate optimization scheme using a fractional factorial design. This approach improved efficiency by reducing sample mass and analysis time, while ensuring high accuracy, precision, and sensitivity. The method quickly confirmed higher median MeHg levels in Mediterranean than in Atlantic squids (1.00 vs. 0.051 mg kg-1), and a higher MeHg/THg ratio in Atlantic samples (84 % vs. 72 %). Support vector machine classification based on principal component analysis scores from THg and MeHg data successfully differentiated squid samples by provenance (AUC = 1). This costeffective workflow enhances mercury monitoring while ensuring safety and traceability with minimal resource requirements.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry

Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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