Modeling growth for predicting the contamination level of guava nectar by Candida pelliculosa under different conditions of pH and storage temperature |
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Authors: | J Tchango Tchango D Watier P Eb R Tailliez T Njine J P Hornez |
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Institution: | (1) Laboratoire de Microbiologie Fondamentale et Appliquée, Université des Sciences et Technologies de Lille, Batiment SN2, 59655 Villeneuve D’Ascq Cedex, France, FR;(2) Laboratoire de Biologie Générale, Faculté des Sciences, Université de Yaoundé I, BP 812, Yaounde, Cameroon, CM |
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Abstract: | The combined effects of temperature (2–46°C) and pH (1.55–6.25) on the growth of Candida pelliculosa isolated from guava nectar produced in Cameroon were studied using a turbidity method, ie measurement of optical density
at 630 nm. A quadratic polynomial model was constructed to predict the effects and interactions of these two environmental
conditions on the maximal optical density obtained (r
2 = 0.97). The relation between optical density and population density of C. pelliculosa (CFU ml−1) was also established using an exponential regression (r
2 = 0.99). According to the model, maximal growth conditions were 37°C and pH 6.25 for obtaining the maximal optical density
of 1.25 corresponding to about 60 × 106 CFU ml−1. A good agreement of the model was found between the predicted values and the observed values of maximal optical density.
The model was validated by the experimental values of maximal optical density obtained in the growth of C. pelliculosa in commercial guava nectar (pH 3.15).
Received 01 December 1995/ Accepted in revised form 30 August 1996 |
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Keywords: | : Candida pelliculosa pH temperature quadratic polynomial model guava nectar |
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