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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Marine & Wildlife Sign in to save

Extraction method for the multiresidue analysis of legacy and emerging pollutants in marine mussels from the Adriatic Sea

Food Chemistry 2023 12 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Silvia Franzellitti, Silvia Franzellitti, Nicolò Interino, Giorgia Palladino, Rossana Comito, Simone Rampelli, Silvia Franzellitti, Giorgia Palladino, Giorgia Palladino, Simone Rampelli, Patrizia Simoni, Marco Candela Silvia Franzellitti, Silvia Franzellitti, Giorgia Palladino, Simone Rampelli, Marco Candela Anastasiia Mosendz, Marco Candela Nicolò Interino, Marco Candela Simone Rampelli, Simone Rampelli, Roberto Gotti, Silvia Franzellitti, Marco Candela Aldo Roda, Emanuele Porru, Marco Candela Marco Candela Emanuele Porru, Marco Candela Jessica Fiori, Silvia Franzellitti, Jessica Fiori, Giorgia Palladino, Marco Candela

Summary

Researchers developed and validated an HPLC-MS/MS method for simultaneously detecting pharmaceutical and pesticide residues in marine mussels (Mytilus galloprovincialis) at nanogram-per-gram levels, then applied it to samples from the Adriatic Sea, confirming multi-class contamination in commercially farmed shellfish.

The release of hazardous chemicals into aquatic environments has long been a known problem, but its full impact has only recently been realized. This study presents a validated liquid chromatography-mass spectrometry (HPLC-MS/MS) method for detecting pharmaceutical and pesticide residues in mussels (Mytilus galloprovincialis). An innovative MS-compatible extraction method was developed and validated, demonstrating successful recovery rates for analytes at three different concentration levels (25-95%). The method detected the target analytes at ng/g concentrations with high accuracy (-7% to 11%) and low relative standard deviation (<10%) for both intra-day and inter-day analyses. After validation, the method was applied to mussel samples collected from a commercial farm near Senigallia, Adriatic Sea, detecting different contaminants in the range of 2-40 ng/g (dry weight). The study provides a valuable tool for investigating the potential threats posed by diverse contaminant classes with high annual tonnage, including analytes with known persistence and/or illegal status.

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