Evaluation of the matrix effect in the analysis of 74 pesticides present in golden gooseberry, purple passion fruit and Hass avocado by UPLC-MS/MS

Matrix Effect (ME) refers to the influence of all components within a matrix on the quantification of target analytes and occurs when detection techniques such as mass spectrometry (MS) are used to determine compound residues in food such as pesticides, compromising unpredictably the accuracy and pr...

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Autores:
Ardila Díaz, Brayan Andrés
Ávila Taborda, Boris Santiago
Castañeda Vargas, Jovan Mateus
Suaza Gaviria, Vanessa
Peñuela Mesa, Gustavo Antonio
Tipo de recurso:
Article of investigation
Fecha de publicación:
2025
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/47343
Acceso en línea:
https://hdl.handle.net/10495/47343
Palabra clave:
Espectrometría de Masas
Mass Spectrometry
Plaguicidas
Pesticides
Frutas
Fruit
Cromatografía Líquida de Alta Presión
Chromatography, High Pressure Liquid
Contaminación alimentaria
Food contamination
Fruta tropical
Tropical fruits
http://aims.fao.org/aos/agrovoc/c_10962
http://aims.fao.org/aos/agrovoc/c_7974
https://id.nlm.nih.gov/mesh/D013058
https://id.nlm.nih.gov/mesh/D010575
https://id.nlm.nih.gov/mesh/D005638
https://id.nlm.nih.gov/mesh/D002851
ODS 3: Salud y bienestar. Garantizar una vida sana y promover el bienestar de todos a todas las edades
ODS 15: Vida de ecosistemas terrestres. Proteger, restablecer y promover el uso sostenible de los ecosistemas terrestres, gestionar sosteniblemente los bosques, luchar contra la desertificación, detener e invertir la degradación de las tierras y detener la pérdida de biodiversidad
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:Matrix Effect (ME) refers to the influence of all components within a matrix on the quantification of target analytes and occurs when detection techniques such as mass spectrometry (MS) are used to determine compound residues in food such as pesticides, compromising unpredictably the accuracy and precision of the results. Therefore, ME must be assessed during method validation to ensure reliable pesticide determination. This work evaluated ME in 74 pesticides present in golden gooseberry (GG), purple passion fruit (PPF) and Hass avocado (HA) by UPLC-MS/MS. The SANTE 11312/2021 guideline was followed to validate the methods, and the great majority of analytes satisfied the acceptance criteria recommended by SANTE. The calibration-graph and concentration-based methods were employed to assess ME. The calibration-graph analysis revealed similar pesticide responses in GG and PPF but differences in HA. Spearman correlation tests confirmed a stronger positive correlation between GG-PPF than GG-HA and PPF-HA, respectively. The compounds which exhibited contrasting behavior in GG and PPF (methomyl, fenhexamid, carbendazim, among others), contradict SANTE’s recommendation to validate at least a single matrix per commodity group. The concentration-based method demonstrated that lower levels are more affected than higher levels by the ME in the three fruits and exhibited to be the most proper way to assess ME due to the obtention of more accurate results for all analytes at each concentration level.