Document Detail


Degradation of pectic compounds during pasteurised vegetable juice spoilage by Chryseomonas luteola: a predictive microbiology approach.
MedLine Citation:
PMID:  9728686     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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:
J M Membré; M Kubaczka
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of food microbiology     Volume:  42     ISSN:  0168-1605     ISO Abbreviation:  Int. J. Food Microbiol.     Publication Date:  1998 Jul 
Date Detail:
Created Date:  1998-09-24     Completed Date:  1998-09-24     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  8412849     Medline TA:  Int J Food Microbiol     Country:  NETHERLANDS    
Other Details:
Languages:  eng     Pagination:  159-66     Citation Subset:  IM    
Affiliation:
Laboratoire de Génie des Procédés et Technologie Alimentaires, Institut National de la Recherche Agronomique, Villeneuve d'Ascq, France. membre@lille.inra.fr
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MeSH Terms
Descriptor/Qualifier:
Bacteria / enzymology*,  growth & development
Beverages / microbiology*
Biomass
Colony Count, Microbial
Colorimetry
Food Microbiology*
Hot Temperature
Kinetics
Linear Models
Models, Biological*
Pectins / metabolism*
Vegetables / metabolism,  microbiology*
Chemical
Reg. No./Substance:
0/Pectins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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