Identification of the Species of Origin for Meat Products by Rapid Evaporative Ionization Mass Spectrometry

Abstract

ABSTRACT. The increasingly abundant food fraud cases have brought food authenticity and 1 safety into major focus. In this study, we present a fast and effective way to identify meat 2 products using rapid evaporative ionization mass spectrometry (REIMS). The experimental setup 3 was demonstrated to be able to record a mass spectrometric profile of meat specimens in a time 4 frame of less than 5 seconds. A multivariate statistical algorithm was developed and successfully 5 tested for the identification of animal tissue with different anatomical origin, breed and species 6 with 100% accuracy at species and 97% accuracy at breed level. Detection of the presence of 7 meat originating from a different species (horse, cattle, and venison) has also been demonstrated 8 with high accuracy using mixed patties with a 5% detection limit. REIMS technology was found 9to be a promising tool in food safety applications providing a reliable and simple method for the 10 rapid characterization of food products. 11 12

A curated gluten protein sequence database to support development of proteomics methods for determination of gluten in gluten-free foods

“…The latter in particular poses problems for sequence annotation and database curation. Apart from limiting progress in the application of proteomics to plant science, the lack of appropriate databases also limits the application of proteomic methods in food science, where it has potential applications in authenticity testing [18], [19] and for the determination of allergens, including gluten, in foods [7], [20], [21], [22], [23]. Curated sequence databases for food allergens include Allergen Online and the ProPepper database [24], the latter being the largest collection of prolamin proteins (which include wheat gluten) from cultivated cereals in the grass family (Poaceae).…”

Exploration of Rapid Evaporative-Ionization Mass Spectrometry as a Shotgun Approach for the Comprehensive Characterization of Kigelia Africana (Lam) Benth. Fruit

“…To the best of our knowledge, this is the first work dealing with the untargeted characterization of a botanical species by the novel REIMS technology, taking also into account that the majority of the applications reported in the literature focus on animals [17,[20][21][22][23][24][25][26] and microorganisms [27][28][29][30], apart from several studies involving human cancer [14,15,18,20,31,32].…”

Ambient mass spectrometry in metabolomics

“…168 DESI-MS was proven to be a fast and simple technique for the detection and analysis of triglycerides in oil- or fat containing food samples. 169 EASI-MS allowed quality control of Amazonian vegetable oils based on triacylglycerol fingerprints, 170 and was used for quality control of vegetable and animal fats.…”