| Literature DB >> 29287350 |
Yingying Li1, Yingying Zhang1, Huichen Li1, Wentao Zhao1, Wenping Guo1, Shouwei Wang2.
Abstract
Food adulteration and fraud is driven by economic interests; it is thus necessary to establish a high-through method that allows quantitative identification of familiar animal and plant proteins for global use. In this study, a sensitive mass spectrometric approach for the detection of eight species, including pork, beef, lamb, chicken, duck, soy, peanut, and pea, is presented and the heat stability and specificity of screened peptides are verified. To improve screening efficiency of specific peptides, several key data searching parameters, including peptides, sequence lengths, sequence coverage, and unique peptides, are investigated. Using this approach, it is possible to detect a 0.5% contamination of any of the eight species. The method is proven to have high sensitivity, specificity, repeatability, and a low quantitative detection limit with respect to adulteration of diverse types of meat products.Entities:
Keywords: Acetic acid (PubChem CID: 176); Acetonitrile (PubChem CID: 6342); Adulteration; Dithiothreitol (PubChem CID: 446094); Formic acid (PubChem CID: 284); Hydrochloric acid (PubChem CID: 313); Iodoacetamide (PubChem CID: 3727); Mass spectrometry; Meat speciation; Peptide biomarker; Thiourea (PubChem CID: 2723790); Trifluoroacetic acid (PubChem CID: 6422); Tris (PubChem CID: 6503); Urea (PubChem CID: 1176)
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Year: 2017 PMID: 29287350 DOI: 10.1016/j.foodchem.2017.09.066
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514