A DNA macro-array to simultaneously identify 32 meat species in food samples. (September 2016)

• Record Type: Journal Article
• Authors: Cottenet, Geoffrey; Sonnard, Véronique; Blancpain, Carine; Ho, Hui Zhen; Leong, Hann Lum; Chuah, Poh Fong
• Is Part Of: Food control. Volume 67(2016:Sep.)
• Page Start: 135
• Page End: 143
• Publication Date: 2016-09
• Subjects: Meat species -- Screening -- Identification -- PCR -- Array; Food -- Quality -- Periodicals; Food -- Analysis -- Periodicals; Food handling -- Periodicals; Food industry and trade -- Quality control -- Periodicals; Aliments -- Industrie et commerce -- Qualité -- Contrôle -- Périodiques; Aliments -- Qualité -- Périodiques; Aliments -- Analyse -- Périodiques; Hygiène alimentaire -- Périodiques; Food -- Analysis; Food handling; Food -- Quality; Periodicals; Electronic journals; 664.07
• DOI: 10.1016/j.foodcont.2016.02.042
• Languages: English
• ISSNs: 0956-7135

Abstract

Abstract: Considering the recent cases of meat adulteration and fraud, efficient and accurate analytical methods are needed for the specific identification of meat species as a key importance to maintain consumers' trust and to comply with various local labelling legislations. As a reference approach, the application of PCR to meat speciation is always limited to few species, whereas there is a strong need to broaden the number of identified meat species. PCR was here associated with a commercial DNA macro-array spotted with meat-specific capture probes, allowing the simultaneous identification of 32 meat species on 8 samples per chip support. Tested on pure meat samples, spiked samples, proficiency test samples, and processed samples, the method showed high specificity on the targeted species and allowed a sensitivity down to 1% (w/w). Easy-to-use, fast and cost-efficient, this multi-screening approach is fit-for-purpose as a tool to detect meat substitution or adulteration for meat testing laboratories. Highlights: This DNA macro-array allows the simultaneous identification of 32 meat species. Up to 8 samples can be analysed per chip support. The method showed a sensitivity of 1% in adulterated spiked meat samples. Meat mislabelling can be easily detected.