| Literature DB >> 28690062 |
Weiying Lu1, Jie Liu2, Boyan Gao3, Xiaxia Lv1, Liangli Lucy Yu4.
Abstract
We built and validated a chemometric model to detect possible milk adulteration with plant proteins. Specifically, we extracted proteins in raw milk, treated with tryptic digestion, and obtained peptide fingerprints by UPLC-quadrupole time-of-flight-mass spectrometry with proteomics to differentiate authentic milks from their counterparts adulterated with nonmilk proteins. This approach is able to detect soybean and pea powder-adulterated milks at as low as 1% (wt/wt). Additionally, we obtained the characteristic peptide sequences for milk authentication by principal component analysis. The prediction accuracies for milk authentication by partial least-squares-discriminant analysis were greater than 95%. These results indicated that peptide fingerprints with the chemometric analysis could be successfully applied for milk quality control.Entities:
Keywords: UPLC-qTOF-MS; chemometrics; milk adulteration; nontargeted fingerprinting
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Year: 2017 PMID: 28690062 DOI: 10.3168/jds.2017-12574
Source DB: PubMed Journal: J Dairy Sci ISSN: 0022-0302 Impact factor: 4.034