A multiplex PCR assay to detect mislabelling in fish products.

Cytb Labeo catla Labeo rohita Oreochromis niloticus adulteration multiplex PCR

Journal

Food additives & contaminants. Part B, Surveillance
ISSN: 1939-3229
Titre abrégé: Food Addit Contam Part B Surveill
Pays: England
ID NLM: 101317183

Informations de publication

Date de publication:
10 May 2024
Historique:
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 10 5 2024
Statut: aheadofprint

Résumé

Fish substitution in fish products is an important issue in fish markets, as it is a widespread practice. An authentication protocol for Rohu, Thaila and Tilapia was developed by multiplex PCR. Three species-specific and one degenerate common forward primer were designed using the Cytb gene of the mitochondrial genome. These primers for Labeo rohita, Labeo catla and Oreochromis niloticus showed the fragment size of 235 bp, 186 bp and 506 bp on the agarose gel, respectively. The primers for L. rohita and L. catla were sensitive to 0.1 ng of DNA template, while for O. niloticus this value was 1 ng of DNA template. A total of 230 commercial samples (160 fried and 70 processed fish products) were screened, where 60% mislabeling in fried and 30% mislabeling in processed fish were found. This multiplex PCR protocol could give useful insights for food inspection and enforcement of regulatory food control.

Identifiants

pubmed: 38726701
doi: 10.1080/19393210.2024.2349606
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-10

Auteurs

Department of Zoology, Government College University, Lahore, Pakistan.

Shahid Sherzada (S)

Department of Zoology, Government College University, Lahore, Pakistan.

Muhammad Imran (M)

Institute of Biochemistry and Biotechnology, University of Veterinary and Animal Sciences, Lahore, Pakistan.

Saeed Akram Khan (SA)

Department of Zoology, Government College University, Lahore, Pakistan.

Abdul Wajid (A)

Department of Biotechnology, Faculty of Life Sciences and Informatics, Baluchistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.

Classifications MeSH