Literature DB >> 33807629

Modelling the Radial Growth of Geotrichum candidum: Effects of Temperature and Water Activity.

Martina Koňuchová1, Ľubomír Valík1.   

Abstract

Modelling the growth of microorganisms in relation to environmental factors provides quantitative knowledge that can be used to predict their behaviour in foods. For this reason, the effects of temperature and water activity (aw) adjusted with NaCl on the surface growth of two isolates and one culture strain of Geotrichum candidum were studied. A dataset of growth parameters obtained from almost 600 growth curves was employed for secondary modelling with cardinal models (CMs). The theoretical minimal temperature resulting from the modelling of the mycelium proliferation rate ranged from -5.2 to -0.4 °C. Optimal and maximal temperatures were calculated and found to have narrow ranges of 25.4 to 28.0 °C and 34.2 to 37.6 °C, respectively. Cardinal aw values associated with radial growth (awmin from 0.948-0.960 and awopt from 0.992-0.993) confirmed the salt sensitivity of the species. Model goodness-of-fit was evaluated by the coefficient of determination R2, which ranged from 0.954 to 0.985, and RMSE, which ranged from 0.28 to 0.42. Substantially higher variability accompanied the lag time for growth modelling than the radial growth rate modelling despite the square root transformation of the reciprocal lag phase data (R2 = 0.685 to 0.808). Nevertheless, the findings demonstrate that the outputs of growth modelling can be applied to the quantitative evaluation of the roles of G. candidum in fresh cheese spoilage as well as the ripening of Camembert-type cheeses or various artisanal cheeses. Along with validation, the interactions with lactic acid bacteria can be included to improve the predictions of G. candidum in the future.

Entities:  

Keywords:  Geotrichum candidum; cardinal model; spoilage; surface growth modelling

Year:  2021        PMID: 33807629      PMCID: PMC7999232          DOI: 10.3390/microorganisms9030532

Source DB:  PubMed          Journal:  Microorganisms        ISSN: 2076-2607


  37 in total

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2.  Time-course of germination, initiation of mycelium proliferation and probability of visible growth and detectable AFB1 production of an isolate of Aspergillus flavus on pistachio extract agar.

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Journal:  Food Microbiol       Date:  2016-12-26       Impact factor: 5.516

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Authors:  J Baranyi; T A Roberts
Journal:  Int J Food Microbiol       Date:  1995-07       Impact factor: 5.277

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Authors:  Efstathios Z Panagou; Stefanos Chelonas; Iordanis Chatzipavlidis; George-John E Nychas
Journal:  Food Microbiol       Date:  2010-03-04       Impact factor: 5.516

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Authors:  T van den Tempel; M S Nielsen
Journal:  Int J Food Microbiol       Date:  2000-06-15       Impact factor: 5.277

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Authors:  R Parra; N Magan
Journal:  J Appl Microbiol       Date:  2004       Impact factor: 3.772

7.  Modeling growth of three bakery product spoilage molds as a function of water activity, temperature and pH.

Authors:  Stéphane Dagnas; Bernard Onno; Jeanne-Marie Membré
Journal:  Int J Food Microbiol       Date:  2014-06-28       Impact factor: 5.277

8.  Modelling of the individual and combined effects of water activity and temperature on the radial growth of Aspergillus flavus and A. parasiticus on corn.

Authors:  S Samapundo; F Devlieghere; A H Geeraerd; B De Meulenaer; J F Van Impe; J Debevere
Journal:  Food Microbiol       Date:  2006-10-25       Impact factor: 5.516

9.  Modeling the effect of temperature on the growth rate and lag phase of Penicillium expansum in apples.

Authors:  Katleen Baert; Antonio Valero; Bruno De Meulenaer; Simbarashe Samapundo; Monzur Morshed Ahmed; Li Bo; Johan Debevere; Frank Devlieghere
Journal:  Int J Food Microbiol       Date:  2007-07-13       Impact factor: 5.277

10.  Effect of water activity and temperature on germination and growth of Penicillium digitatum, P. italicum and Geotrichum candidum.

Authors:  P Plaza; J Usall; N Teixidó; I Viñas
Journal:  J Appl Microbiol       Date:  2003       Impact factor: 3.772

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