TY - JOUR
T1 - Prediction of riboflavin and ascorbic acid concentrations in skimmed heat-treated milk using front-face fluorescence spectroscopy
AU - Alvarado, Ulises
AU - Zamora, Anna
AU - Arango, Oscar
AU - Saldo, Jordi
AU - Castillo, Manuel
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2022/4/1
Y1 - 2022/4/1
N2 - The objective of this work was to obtain degradation kinetic models of riboflavin and ascorbic acid, and to evaluate the potential of front-face fluorescence (FFF) spectroscopy to predict their concentration in milk after thermal processing. A factorial design with three temperatures (70, 80 and 90 degrees C) and nine times (from 0 to 60 min) of heat treatment was used. Degradation kinetics of both vitamins were of first order. Predictive kinetic models using the Arrhenius equation had a variability coefficient of 2.26 and 3.64% for riboflavin and ascorbic acid, respectively. With fluorescent predictors such as tryptophan, Maillard compounds and riboflavin, prediction models with coefficients of variation smaller than 3.57% for riboflavin and ranging from 4.24 to 14.25% for ascorbic acid were obtained. In conclusion, FFF is a viable alternative to predict riboflavin and ascorbic acid content of milk which could allow in-line monitoring and control of thermal damage.
AB - The objective of this work was to obtain degradation kinetic models of riboflavin and ascorbic acid, and to evaluate the potential of front-face fluorescence (FFF) spectroscopy to predict their concentration in milk after thermal processing. A factorial design with three temperatures (70, 80 and 90 degrees C) and nine times (from 0 to 60 min) of heat treatment was used. Degradation kinetics of both vitamins were of first order. Predictive kinetic models using the Arrhenius equation had a variability coefficient of 2.26 and 3.64% for riboflavin and ascorbic acid, respectively. With fluorescent predictors such as tryptophan, Maillard compounds and riboflavin, prediction models with coefficients of variation smaller than 3.57% for riboflavin and ranging from 4.24 to 14.25% for ascorbic acid were obtained. In conclusion, FFF is a viable alternative to predict riboflavin and ascorbic acid content of milk which could allow in-line monitoring and control of thermal damage.
KW - Ascorbic acid
KW - Front-face fluorescence spectroscopy
KW - Heat treatment
KW - Milk
KW - Prediction
KW - Riboflavin
UR - http://www.scopus.com/inward/record.url?scp=85119083926&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/e844cce3-a067-3c4f-86f3-5ddd8879a010/
U2 - 10.1016/j.jfoodeng.2021.110869
DO - 10.1016/j.jfoodeng.2021.110869
M3 - Article
AN - SCOPUS:85119083926
SN - 0260-8774
VL - 318
JO - Journal of Food Engineering (Print)
JF - Journal of Food Engineering (Print)
M1 - 110869
ER -