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基于切向流过滤的分级、肽组学、统计筛选和感官分析鉴定陈年切达干酪中的苦味肽。

Identification of bitter peptides in aged Cheddar cheese by crossflow filtration-based Fractionation, Peptidomics, statistical screening and sensory analysis.

机构信息

Department of Food Science and Technology, Oregon State University, Corvallis, OR, 97333.

Department of Food Science and Technology, Oregon State University, Corvallis, OR, 97333.

出版信息

Food Chem. 2024 May 1;439:138111. doi: 10.1016/j.foodchem.2023.138111. Epub 2023 Nov 30.

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.

摘要

尽管苦味是与酪蛋白衍生肽相关的陈年奶酪的常见风味属性,但过度的苦味是一种感官缺陷,可能导致消费者拒绝,并给奶酪厂带来经济损失。我们的研究采用独特的方法,使用切向流过滤分级、基于质谱的肽组学、统计学和感官分析来鉴定奶酪样品中的苦味肽。与传统的化学分离技术相比,应用肽组学和统计筛选工具来鉴定苦味肽可以筛选整个肽谱。五种肽 - YPFPGP(β-酪蛋白[60-65])、YPFPGPIPN(βA2-酪蛋白[60-68])、LSQSKVLPVPQKAVPYPQRDMPIQA(β-酪蛋白[165-189])、YPFPGPIHNS(βA1-酪蛋白[60-69])及其丝氨酸磷酸化版本 YPFPGPIHN[S](βA1-酪蛋白[60-69])- 表现出高苦味水平,平均苦味强度值在 15 点标度上超过 7。将来,这些数据可以与切达奶酪样品的微生物和蛋白酶谱结合,以帮助了解这些因素如何导致苦味的发展。

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