Abstract
Despite bitterness being a common flavor attribute of aged cheese linked to casein-derived peptides, excessive bitterness is a sensory flaw that can lead to consumer rejection and economic loss for creameries. Our research employs a unique approach to identify bitter peptides in cheese samples using crossflow filtration-based fractionation, mass spectrometry-based peptidomics, statistics and sensory analysis. Applying peptidomics and statistical screening tools, rather than traditional chemical separation techniques, to identify bitter peptides allows for screening the whole peptide profile. Five peptides—YPFPGP (β-casein [60–65]), YPFPGPIPN (βA2-casein [60–68]), LSQSKVLPVPQKAVPYPQRDMPIQA (β-casein [165–189]), YPFPGPIHNS (βA1-casein [60–69]) and its serine phosphorylated version YPFPGPIHN[S] (βA1-casein [60–69])— demonstrated high levels of bitterness with mean bitterness intensity values above 7 on a 15-point scale. In the future, this data can be combined with the microbial and protease profile of the Cheddar samples to help understand how these factors contribute to bitter taste development.
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