Chromatographic Methods for Detection and Quantification of Carbendazim in Food.


Journal

Journal of agricultural and food chemistry
ISSN: 1520-5118
Titre abrégé: J Agric Food Chem
Pays: United States
ID NLM: 0374755

Informations de publication

Date de publication:
28 Oct 2020
Historique:
pubmed: 17 10 2020
medline: 23 3 2021
entrez: 16 10 2020
Statut: ppublish

Résumé

Carbendazim (CBZ), which is a fungicide widely used for the management of plant diseases, has been detected in a number of food products. The negative effects of CBZ to human health have stimulated the reduction of the maximum residue limits (MRLs), and subsequently the development of reliable and sensitive detection methods. Here, we are reviewing for the first time all reported chromatographic methods for the detection and quantification of CBZ in food. Several techniques, including liquid chromatography (LC), thin layer chromatography (TLC), micellar electrokinetic chromatography (MEKC), and supercritical fluid chromatography (SFC), were used for the separation and detection of CBZ, showing diverse characteristics and sensitivity. Some methods allowed the specific determination of CBZ, whereas other methods were successfully applied for the simultaneous quantification of a huge number of pesticides. Most reported methods showed limits of detection (LOD) and quantification (LOQ) lower than the MRLs. Relevant efforts in the field have been directed toward the simplification and optimization of the extraction steps prior to the chromatographic separation to increase the recovery and reduce the matrix effects. In this Review, the matrices, extraction procedures, and separation and detection parameters are detailed and compared in order to provide new insights on the development of new reliable methods for the detection of CBZ in food.

Identifiants

pubmed: 33059442
doi: 10.1021/acs.jafc.0c04225
doi:

Substances chimiques

Benzimidazoles 0
Carbamates 0
Fungicides, Industrial 0
Pesticide Residues 0
carbendazim H75J14AA89

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

11880-11894

Auteurs

Su-Yan Wang (SY)

School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China.

Xin-Chi Shi (XC)

School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China.

Feng-Quan Liu (FQ)

Jiangsu Key Laboratory for Food Quality and Safety, State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Plant Protection, Jiangsu Academy of Agricultural Sciences, Nanjing 226019, People's Republic of China.

Pedro Laborda (P)

School of Life Sciences, Nantong University, Nantong 226019, People's Republic of China.

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Classifications MeSH