PREDICTION OF LYCOPENE STABILITY IN TOMATO PRODUCTS BY RADIAL BASIS NETWORK ANALYSIS
This study is aim to evaluate the retention of lycopene content (or the degree of lycopene losses) in commercial tomato products over 12 months storage period, during the commercial shelf life, and to explore a mathematical model to predict the lycopene degradation kinetics in different tomato matrices (juices, sauces and ketchups). Lycopene degradation kinetics in tomato-based products included in this study was subjected to a mathematical modelling using a radial basis network (RBN). RBN proposed mathematical approach is a reliable tool to determine the stability of lycopene in food products with long shelf life (mean prediction error and correlation coefficient are less than 3.04% and higher than 0.983, respectively).
Cámara, M., Fernández Ruiz, V., Fernández Redondo, D., Torrecilla, J.S. and Sánchez Mata, M.C. (2013). PREDICTION OF LYCOPENE STABILITY IN TOMATO PRODUCTS BY RADIAL BASIS NETWORK ANALYSIS . Acta Hortic. 971, 149-154
lycopene, tomato products, radial basis network