title: Degradation of pectic compounds during pasteurised vegetable juice spoilage by Chryseomonas luteola: a predictive microbiology approach.
abstract: Predictive modelling consists in describing effects of environmental factors on microbial growth parameters. With food spoilage bacteria, this approach must be extended to both growth and food damage characterisation. In order to study the incidence of storage temperature on vegetable damage, using predictive microbiology tools, kinetics of pectic compound degradation were studied. Chryseomonas luteola has been chosen because of its ability to grow on post-harvested vegetables. Experiments were performed at refrigerated temperatures (0-10 degrees C) with low initial bacterial charges (10(1)-10(3.5) cfu/ml). Microbial specific growth rate (mu), stability phase before pectic degradation (Sp) and alteration percentage (Ap) were chosen as reference parameters. Then, sub-optimal temperature effects on these three parameters were estimated using modified Ratkowsky model. Results obtained in synthetic medium were compared with data observed in endive juice to appreciate the alteration of vegetable during post-harvest storage.
authors.affiliation: Laboratoire de Génie des Procédés et Technologie Alimentaires, Institut National de la Recherche Agronomique, Villeneuve d'Ascq, France. membre@lille.inra.fr
authors.forename: J M
authors.initials: JM
authors.lastname: Membré
authors.forename: M
authors.initials: M
authors.lastname: Kubaczka
mesh_terms: D001419:Bacteria / Q000201:enzymology* / Q000254:growth & development; D001628:Beverages / Q000382:microbiology*; D018533:Biomass; D015169:Colony Count, Microbial; D003124:Colorimetry; D005516:Food Microbiology; D006358:Hot Temperature; D007700:Kinetics; D016014:Linear Models; D008954:Models, Biological; D010368:Pectins / Q000378:metabolism*; D014675:Vegetables / Q000378:metabolism / Q000382:microbiology*
chemical_list: D010368:Pectins