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FTIR-ATR determination of protein content to evaluate whey protein concentrate adulteration

Author:
Andrade, Jonathan, Pereira, Cristina Guimarães, Almeida Junior, José Carlos de, Viana, Carolina Carvalho Ramos, Neves, Leandra Natália de Oliveira, Silva, Paulo Henrique Fonseca da, Bell, Maria José Valenzuela, Anjos, Virgílio de Carvalho dos
Source:
Lebensmittel-Wissenschaft + [i.e. und] Technologie 2019 v.99 pp. 166-172
ISSN:
0023-6438
Subject:
Fourier transform infrared spectroscopy, adulterated products, carbohydrates, dietary supplements, least squares, milk, models, prediction, principal component analysis, protein content, reflectance, reflectance spectroscopy, variance, whey powder, whey protein concentrate
Abstract:
We evaluated the potential application of Fourier-Transformed Infrared spectroscopy using Attenuated Total Reflectance (FTIR-ATR) to characterize and detect adulteration of whey protein concentrate (WPC). Samples were adulterated by substituting WPC by milk whey powder (MWP). Principal Component Analysis (PCA) was used to characterize the spectra. Partial Least Squares (PLS) regressions were applied to model and predict the protein content and the amount in grams of WPC and MWP in the samples. In WPC, Amide I and II bands showed decreasing trend with the protein content of the samples. The carbohydrate region between 1160 and 1000 cm−1 showed spectra with opposite behavior of the Amide bands, evincing the ν CO peak (1030 cm−1) that increases as MWP was added. In PCA, PC1 (64.5%) and PC2 (18.8%) described above 80% of total variance of the spectra. PC1 variance was most influenced by Amide I, II and carbohydrate regions. In all cases, PLS showed low prediction errors, high precision and coefficients of determination of the global fit above 0.99. Therefore, the association of FTIR-ATR spectroscopy with multivariate approaches revealed strong potential to detect adulteration in nutritional supplements and high accuracy to predict simultaneously the protein content and mass of WPC and MWP added.
Agid:
6159448