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用LC-MS/MS方法在蛋白质水解酸中对多达四个氨基酸的丹西尔标记的短的非向性表征

Marie Yammine¹, Marc Haegelin², Fabrice Bray²

¹Univ. Lille, CNRS, USR 3290, MSAP, Miniaturisation pour la Synthèse l'Analyse et la Protéomique, F-59 000 Lille, France; Lesaffre International, Lesaffre Institute of Science and Technology, Research & Development Department, Analytical Sciences and Discovery Center of Excellence, 101 rue de Menin, F-59700 Marcq-en-Baroeul, France.

Food research international (Ottawa, Ont.)

|May 17, 2025

概括

在蛋白质水解酸中分析短具有挑战性. 本研究提出了一种新的工作流程,使用dansilicloride标签和LC-MS/MS可靠识别这些有价值的化合物.

科学领域:

分析化学分析化学
生物化学生物化学
食品科学食品科学食品科学

背景情况:

蛋白质水解剂是复杂的混合物,含有不同长度的.
短 (多达4个氨基酸) 具有重要的营养和健康益处.
在水解剂中分析短是很困难的,因为它们的小尺寸和独特的特性.

研究的目的:

开发和验证一种工作流程,用于在蛋白质水解剂中对短的非定位性表征.
为了使短的全面分析,克服传统的奥米克方法的局限性.

主要方法:

短的氨基组标记使用化丹西尔.
在基本的pH值下,冷凍化樣本的制備和反應.
纳米电子喷雾电离 (nanoESI) 与纳米液体色谱学并联质谱学 (nanoLC-MS/MS).
使用自定义的Python程序 (short_pept) 来识别和量化数据的数据处理.

主要成果:

成功识别和表征dansyl标记的短,包括它们的序列,信号强度和保留时间.
检测到化学修饰,如甲氨酸氧化.
描述了各种水解剂 (大豆,素,酵母) 中的短,并根据水解度对它们进行分类.

结论:

开发的工作流提供了一种可靠的方法,用于在复杂蛋白质水解剂中进行非向的短分析.
这种方法提高了对水解盐成分的理解,这对于优化食品和营养药品至关重要.
该方法适用于各种蛋白质来源和水解条件.

关键词:

丹西尔化物标签的标签数据处理软件数据处理软件高分辨率的质谱学高分辨率质谱学液体色谱学液体色谱学液体色谱学蛋白质的水解剂蛋白质的水解剂简短的类化合物没有目标的分析分析.

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