摘要
为鉴别大豆低聚肽中的多肽组分,并筛选适用于质量监控的多肽,通过四级杆串联飞行时间质谱法测定4批次大豆低聚肽样品。借助Proteo Wizard 3.0、Proteome Discoverer 2.4、Pep OS 1.0等多肽组学分析软件进行肽组学分析,鉴别了丰度前30的多肽,初筛出21种适宜于大豆低聚肽质量监控的短肽;优选具有全匹配的8种短肽,利用液相色谱-三重四极杆质谱联用技术对8种短肽进行方法学研究。结果表明8种低聚肽中仅VV和VN适宜合于建立大豆低聚肽的质量监控。VV和VN的线性相关系数R值均大于0.99、回收率高、精密度好。建立的VV和VN检测方法稳定可靠,VV和VN在大豆低聚肽中稳定存在,可作为大豆低聚肽原料及相关产品中特征性短肽,用于产品质量控制的目标。
In order to identify the polypeptide compositions of soy oligopeptides,and to filtrate the suitable polypeptide for quality monitoring.The study used the Quadrupole-Time of Flight(Q-TOF)to measure 4 batches of soy oligopeptide samples.This research used the analysis software of peptidomics(include:Proteo Wizard 3.0,Proteome Discoverer 2.4,Pepos 1.0 et.al.)to identify the polypeptide of 30 highest abundance,and primary screening 21 short peptides that suitable to monitor the quality of soy oligopeptides.And 8 short peptides were chosen to become the target of quality control that possessing identification of an exact match,the mass-spectrographic technique of liquid chromatography-mass spectrometry-mass spectrometer(LC-MS-MS)was used to conduct methodological study with 8 types of short peptides.The result show only 2 peptides(VV&VN)were suitable use to build up quality monitoring of soy oligopeptides.The linear correlation R value for VV&VN was higher than O.99,and their recovery rate and precision were high.In addition,the detection method for VV&VN is reliable and stable.Both of VV&VN were stable in soy oligopeptides.They can become the target of quality monitoring for distinctive peptides in the raw material of soy oligopeptides and other related products.
作者
郁晓艺
李军波
徐巨才
欧阳浩栩
伍蓥
陈泽炎
李晓敏
YU Xiaoyi;LI Junbo;XU Jucai;OUYANG Haoxu;WU Ying;CHEN Zeyan;LI Xiaomin(Perfect(Guangdong)Co.,Ltd.,Zhongshan 528400,China;School of Biotechnology and Health Sciences,Wuyi University&International Healthcare Innovation Institute(Jiangman),Jiangmen529020,China)
出处
《食品科技》
CAS
北大核心
2023年第10期262-269,共8页
Food Science and Technology