Literature DB >> 21770386

Nisin quantification by ELISA allows the modeling of its apparent diffusion coefficient in model cheeses.

Samar Aly1, Juliane Floury, Marie-Hélène Famelart, Marie-Noëlle Madec, Didier Dupont, Yann Le Gouar, Sylvie Lortal, Sophie Jeanson.   

Abstract

The diffusion of small solutes in cheese is of key importance for most enzymatic reactions involved in the ripening process. However, only a limited amount of data is available on salt diffusion and practically none on peptide diffusion. Nisin, a bacteriocin peptide, migrated in model cheeses made from ultrafiltered (UF) retentate. A profile concentration device and an enzyme-linked immunosorbent assay (ELISA), specifically developed for nisin quantification in cheese, were used to model the apparent diffusion coefficients for nisin according to Fick's law. This average coefficient was 49.5 μm(2)/s in UF cheese (n = 2). When 10% gelatin was added to the retentate, this value decreased to 34.4 μm(2)/s (n = 2). The two cheeses differed in their macrostructure (rheology) and microstructure (confocal microscopy). This study provides the first apparent diffusion coefficients for a peptide in cheese and supports the hypothesis that composition and structure influence the diffusion of small solutes such as peptides.

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Year:  2011        PMID: 21770386     DOI: 10.1021/jf2008474

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  Microgradients of pH do not occur around Lactococcus colonies in a model cheese.

Authors:  Sophie Jeanson; Juliane Floury; Al Amine Issulahi; Marie-Noëlle Madec; Anne Thierry; Sylvie Lortal
Journal:  Appl Environ Microbiol       Date:  2013-08-09       Impact factor: 4.792

2.  Diffusion of solutes inside bacterial colonies immobilized in model cheese depends on their physicochemical properties: a time-lapse microscopy study.

Authors:  Juliane Floury; Ilham El Mourdi; Juliana V C Silva; Sylvie Lortal; Anne Thierry; Sophie Jeanson
Journal:  Front Microbiol       Date:  2015-04-30       Impact factor: 5.640

  2 in total

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