期刊
FOOD CHEMISTRY
卷 173, 期 -, 页码 847-854出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2014.10.104
关键词
UPLC-HILIC; Di-, tri- and tetrapeptides; Retention time prediction; Amino acid coefficients; N-, C-terminal
资金
- Enterprise Ireland [TC2013-0001]
Short peptides can have interesting beneficial effects but they are difficult to identify in complex mixtures. We developed a method to improve short peptide identification based on HILIC-MS/MS. The apparent hydrophilicity of peptides was determined as a function of amino acid position in the sequence. This allowed the differentiation of peptides with the same amino acid composition but with a different sequence (homologous peptides). A retention time prediction model was established using the hydrophilicity and peptide length of 153 di- to tetrapeptides. This model was proven to be reliable (R-2 = 0.992), it was validated using statistical methods and a mixture of 14 synthetic peptides. A whey protein hydrolysate was analysed to assess the ability of the model to identify unknown peptides. In parallel to milk protein database and de nova searches, the retention time prediction model permitted reduction and ranking of potential short peptides, including homologous peptides, present in the hydrolysate. (C) 2014 Elsevier Ltd. All rights reserved.
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