Postharvest biology and technology vol:34 issue:3 pages:271-284
Using colour change of tomato fruit (Lycopersicon esculentum Mill.) as a case study, a probabilistic kinetic approach is developed to interpret postharvest batch behaviour combining kinetic models describing colour change as a function of time and temperature with the concept of biological age modelled by a random variable. Tomatoes from three cultivars ('Quest', 'Style' and 'Tradiro') were stored at 3 storage temperatures (12, 15 and 18degreesC). Data from these experiments were used to develop a probabilistic kinetic model approach predicting the propagation of biological variation during postharvest.