Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K

The objective of this work was to evaluate and model the combined effect of temperature (5-25°C) and water activity (aw, 0.890-0.980) on Pichia anomala strain K growth and lag phase. Variance analysis showed a highly significant effect of aw, solute and temperature on strain K growth. The decrease o...

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Main Authors: Jijakli M.H., Serrhini M.N., Bajji M., Lahlali R.
Format: Article
Language:English
Published: Presses Agronomiques de Gembloux 2008-01-01
Series:Biotechnologie, Agronomie, Société et Environnement
Subjects:
Online Access:http://www.pressesagro.be/base/text/v12n4/353.pdf
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spelling doaj-b406b84fd5354934bb717d6ba72ae61e2020-11-25T00:26:14ZengPresses Agronomiques de GemblouxBiotechnologie, Agronomie, Société et Environnement1370-62331780-45072008-01-01124353359Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain KJijakli M.H.Serrhini M.N.Bajji M.Lahlali R.The objective of this work was to evaluate and model the combined effect of temperature (5-25°C) and water activity (aw, 0.890-0.980) on Pichia anomala strain K growth and lag phase. Variance analysis showed a highly significant effect of aw, solute and temperature on strain K growth. The decrease of aw and temperature significantly reduced and delayed growth, the effect being more drastic with NaCl compared to the other solutes. Response surface models relating the natural logarithm of growth with aw and temperature were developed for each solute. Optimum growth was obtained at aw values ranging from 0.980 to 0.995 at 25°C. For all models, there was good agreement between observed and predicted values. However, only models based on sorbitol and glucose accurately described experimental growth data. Implementation of the present results in combination with our previous findings on four main post-harvest pathogens should result in a more effective biocontrol strategy to limit fruit losseshttp://www.pressesagro.be/base/text/v12n4/353.pdfglucoseglycerolNaClPichia anomala strain Kpredictive modelsresponse surface methodologysorbitol
collection DOAJ
language English
format Article
sources DOAJ
author Jijakli M.H.
Serrhini M.N.
Bajji M.
Lahlali R.
spellingShingle Jijakli M.H.
Serrhini M.N.
Bajji M.
Lahlali R.
Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K
Biotechnologie, Agronomie, Société et Environnement
glucose
glycerol
NaCl
Pichia anomala strain K
predictive models
response surface methodology
sorbitol
author_facet Jijakli M.H.
Serrhini M.N.
Bajji M.
Lahlali R.
author_sort Jijakli M.H.
title Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K
title_short Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K
title_full Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K
title_fullStr Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K
title_full_unstemmed Modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast Pichia anomala strain K
title_sort modelling the effect of temperature, water activity and solute on the in vitro growth of the biocontrol yeast pichia anomala strain k
publisher Presses Agronomiques de Gembloux
series Biotechnologie, Agronomie, Société et Environnement
issn 1370-6233
1780-4507
publishDate 2008-01-01
description The objective of this work was to evaluate and model the combined effect of temperature (5-25°C) and water activity (aw, 0.890-0.980) on Pichia anomala strain K growth and lag phase. Variance analysis showed a highly significant effect of aw, solute and temperature on strain K growth. The decrease of aw and temperature significantly reduced and delayed growth, the effect being more drastic with NaCl compared to the other solutes. Response surface models relating the natural logarithm of growth with aw and temperature were developed for each solute. Optimum growth was obtained at aw values ranging from 0.980 to 0.995 at 25°C. For all models, there was good agreement between observed and predicted values. However, only models based on sorbitol and glucose accurately described experimental growth data. Implementation of the present results in combination with our previous findings on four main post-harvest pathogens should result in a more effective biocontrol strategy to limit fruit losses
topic glucose
glycerol
NaCl
Pichia anomala strain K
predictive models
response surface methodology
sorbitol
url http://www.pressesagro.be/base/text/v12n4/353.pdf
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