Journal of Food Processing & Technology

A universal molecular and bioinformatics pipeline for meat species identification using next generation sequencing data

9^th Euro-Global Summit & Expo on Food & Beverages

July 11-13, 2016 Cologne, Germany

Nyaradzo Stella Chaora, KS Khanyile and FC Muchadeyi

Agricultural Research Council, South Africa

Posters & Accepted Abstracts: J Food Process Technol

Abstract:

Background: Processed meat products are usually targets of adulteration by fraudulent traders as a means of economic gain. This study demonstrates a universal and bioinformatics diagnostic pipeline using NGS data targeted for the 16S rRNA mitochondrial gene. Methods: A total of 161 processed meat products, namely, minced meat (n=55), biltong (n=28), burger patties (n=35) and sausages (n=43) were collected from retail outlets, butcheries and processing plants across South Africa. The MSR software managed to classify species up to the genus level. Results: The results revealed that 90% minced meat samples were predominantly Bos genus and 9% mince samples contained species from mixed sources like Bos, Sus and Ovis. About 92% of the biltong samples were predominantly Bos genus and 7% of the samples showed traces of Sus and Ovis genus, although they were labelled as �??beef biltong�??. 80% of the burger patties were predominantly Bos genus, 20% were mixed samples carrying the Bos, Sus and Ovis genus, however, 5 of these samples were labelled as �??beef patties�??. For the sausage samples 48% were predominantly Bos genus, 51% of the samples were mixed with traces of Bos, Sus and Ovis genus and of these 34% were labelled as �??beef sausages�??. Conclusion: Overall, sausages had the highest occurrence of adulteration, constituting of species from more than one source in a sample.

Biography :

Email: ChaoraN@arc.agric.za