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In situ monitoring of grape seed protein hydrolysis by Raman spectroscopy
Author(s) -
Ding Qingzhi,
Rehman Sheikh Arooj,
Pan Wenwen,
Gu Xiangyue,
Sun Nianzhen,
Su Xiaodong,
Luo Lin,
Ma Haile,
He Ronghai,
Zhang Ting
Publication year - 2021
Publication title -
journal of food biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.507
H-Index - 47
eISSN - 1745-4514
pISSN - 0145-8884
DOI - 10.1111/jfbc.13646
Subject(s) - partial least squares regression , proteolysis , chemistry , raman spectroscopy , hydrolysis , grape seed extract , root mean square , ic50 , standard error , peptide , analytical chemistry (journal) , chromatography , mathematics , biochemistry , enzyme , in vitro , statistics , medicine , physics , alternative medicine , electrical engineering , pathology , optics , engineering
Abstract Raman spectroscopy was used to monitor the enzymatic hydrolysis process of grape seed protein. The degree of hydrolysis (DH), IC 50 of the ACE inhibitory activity, and peptide content of the digestive products of grape seed protein were analyzed offline. The partial least squares (PLS), interval partial least squares (IPLS), and joint interval partial least squares (Si‐PLS) models of DH, IC 50 , and peptide content were established and the optimal pretreatment method was selected. In the optimal model, the corrected model r of the grape seed protein hydrolysis degree is 0.997, the Root Mean Square Error of Cross Validation (RMSECV) is 0.507%. The predicted model r value is 0.9932, the Root Mean Square Error of Prediction (RMSEP) is 1.15%. The corrected model r value of the IC 50 is 0.9965, the RMSECV is 11.9%. The r value and RMSEP of predicted model are 0.9978 and 9.64%. The corrected model r value of the peptide content is 0.9955, the RMSECV is 12.7%, the predicted model r value is 0.9953, and the RMSEP is 15.4%. These results showed that in situ real‐time monitoring of grape seed protein hydrolysis process can be achieved by Raman spectroscopy. Practical applications This study uses Raman spectroscopy method to establish the quantification of proteolysis, IC50, and peptide content of the simulated digestive products during grape seed proteolysis. Analyze the model to monitor and evaluate the target parameters during the entire grape seed proteolysis process. In situ real‐time monitoring of grape seed proteolysis is of great significance to the entire grape seed active peptide industry.