Published 2020

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Publication details

Journal : Food Chemistry , vol. 310 , 2020

Publisher : Elsevier

International Standard Numbers :
Printed : 0308-8146
Electronic : 1873-7072

Publication type : Academic article

Contributors : Kristoffersen, Kenneth Aase; Afseth, Nils Kristian; Böcker, Ulrike; Lindberg, Diana; de Vogel-van den Bosch, Heleen; Ruud, Mari Linnea; Wubshet, Sileshi Gizachew

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Fourier-transform infrared (FTIR) spectroscopy was applied to predict the degree of hydrolysis (DH%) and weight-average molecular weight (Mw) in milk protein hydrolysates. Both DH% and Mw are important quality parameters of protein hydrolysates. Measuring these parameters and following their development during proteolytic reactions is therefore essential for process control and optimization in industry. In the present study the intercorrelation and the complimentary nature of these parameters were investigated and a partial least squares regression (PLSR) model was developed for the prediction of DH% from molecular weight distributions. Finally, we developed PLSR models based on dry-film FTIR spectroscopy for the prediction of both DH% and Mw. Here spectral changes in the amide region were found to be important for the two calibration models, underlining the advantage of dry-film FTIR measurement. This shows that dry-film infrared spectroscopy is a promising tool for dual prediction of DH% and Mw.