Method optimisation for large scope pesticide multiresidue analysis in bee pollen: A pilot monitoring study

被引：11

作者：

Carrera, Maria Antonietta ^{[1
]}

Sanchez, Lorena Manzano ^{[2
]}

Morales, Maria Murcia ^{[2
]}

Fernandez-Alba, Amadeo R. ^{[2
]}

Hernando, Maria Dolores ^{[1
]}

机构：

[1] CSIC, Dept Desertificat & Geoecol, Expt Stn Arid Zones, Ctra Sacramento S-N, Almeria 04120, Spain

[2] Univ Almeria, Dept Chem & Phys, European Union Reference Lab Pesticide Residues Fr, Ctra Sacramento S-N, Almeria 04120, Spain

来源：

FOOD CHEMISTRY | 2024年 / 436卷

关键词：

Bee pollen; Pesticides; Automated clean-up; Risk assessment; HONEY-BEES; RESIDUES;

D O I：

10.1016/j.foodchem.2023.137652

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Pesticide contamination in emerging foods and supplements is currently a topic of great interest. This study focused on the evaluation of pesticide residues in commercial bee pollen samples to evaluate the risk associated with their consumption. To this end, an automated clean-up method for the pesticide extracts of bee pollen was developed. An LC-MS/MS and a GC-MS/MS method were validated for the analysis of 353 pesticides in 80 bee pollen samples purchased from different countries. The results showed the presence of 77 different pesticide residues in bee pollen, including plant protection chemicals and veterinary treatments. 85 % of the samples were contaminated with pesticides and no relevant differences were found between conventional and organic samples. Pesticide concentrations exceeding the imposed MRL were found in 40 % of the samples, but the risk assessment showed that consumers are not exposed to an unacceptable risk when consuming the evaluated bee pollen.

引用

页数：11

共 32 条

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