Ranamukhaarachchi Sahan A, Peiris Ramila H, Moresoli Christine
Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada.
Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L 3G1, Canada.
Food Chem. 2017 Feb 15;217:469-475. doi: 10.1016/j.foodchem.2016.08.029. Epub 2016 Aug 11.
The potential of intrinsic fluorescence and principal component analysis (PCA) to characterize the antioxidant capacity of soy protein hydrolysates (SPH) during sequential ultrafiltration (UF) and nanofiltration (NF) was evaluated. SPH was obtained by enzymatic hydrolysis of soy protein isolate. Antioxidant capacity was measured by Oxygen Radical Absorbance Capacity (ORAC) and Folin Ciocalteau Reagent (FCR) assays together with fluorescence excitation-emission matrices (EEM). PCA of the fluorescence EEMs revealed two principal components (PC1-tryptophan, PC2-tyrosine) that captured significant variance in the fluorescence spectra. Regression models between antioxidant capacity and PC1 and PC2 displayed strong linear correlations for NF fractions and a weak linear correlation for UF fractions. Clustering of UF and NF fractions according to ORACFPCA and FCRFPCA was observed. The ability of this method to extract information on contributions by tryptophan and tyrosine amino acid residues to the antioxidant capacity of SPH fractions was demonstrated.
评估了利用内源荧光和主成分分析(PCA)表征大豆蛋白水解物(SPH)在连续超滤(UF)和纳滤(NF)过程中抗氧化能力的潜力。SPH通过大豆分离蛋白的酶解获得。抗氧化能力通过氧自由基吸收能力(ORAC)和福林-酚试剂(FCR)测定以及荧光激发-发射矩阵(EEM)来测量。荧光EEM的PCA揭示了两个主成分(PC1-色氨酸,PC2-酪氨酸),它们捕获了荧光光谱中的显著差异。抗氧化能力与PC1和PC2之间的回归模型显示,NF级分具有强线性相关性,而UF级分具有弱线性相关性。观察到根据ORACFPCA和FCRFPCA对UF和NF级分进行聚类。证明了该方法提取色氨酸和酪氨酸氨基酸残基对SPH级分抗氧化能力贡献信息的能力。