Industrial validation of a predictive model of the nutritional quality of tomato-based products during processes

Mélodie Gil (1) , Claire Dufour (1) , Xuan Mi Meyer (2) , Cédric Brandam (2) , Marie Roland (2) , Magali Wagner (3) , Stéphanie Georgé (3)

1 SQPOV - Sécurité et Qualité des Produits d'Origine Végétale
2 LGC - Laboratoire de Génie Chimique
3 Centre Technique de la Conservation des Produits Agricoles

Opti’Tom aims to develop and confirm, at pilot and industrial scale, stoichio-kinetic models describing changes in micronutrients contents in tomato-based products during processing. Two kinds of processes were studied such as production of tomato paste from fresh tomatoes and sauces from tomato paste. Several pilot trials were conducted and the data (amounts of microconstituents, schedules of the processes) were exploited to develop a software in order to optimize the current manufacturing processes.

Mots clés: Tomato; Food processing; Modelling; Prediction; Tool

Domaines: Génie chimique; Génie des procédés

Mélodie Gil, Claire Dufour, Xuan Mi Meyer, Cédric Brandam, Marie Roland, et al.. Industrial validation of a predictive model of the nutritional quality of tomato-based products during processes. Acta Horticulturae, 2015, 1081, pp.267-274. ⟨10.17660/ActaHortic.2015.1081.34⟩. ⟨hal-02134883⟩