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In this study, NGS (next generation sequencing) using the Ion Torrent semiconductor platform was applied to identify meat species in several highly processed and complex meat products and meat derived broths (a döner kebab, a beef/pork paté, a meat based filling of tortellini, one instant granular preparation of broth stock made from meat, and two ready-to-use meat broths from different producers). Sequence analysis of reads from 6 libraries detected expected and unexpected meat species in the products. A measure of poor hygienic practice during production of the analysed products could be inferred using the number of human reads. In conclusion, NGS data is useful for authentication of highly processed products.

Read the abstract at: NGS of meat products

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