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Article

Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM)

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Laboratoire de Mycologie, de Biotechnologie et de l’Activité Microbienne (LaMyBAM), Département de Biologie Appliquée, Faculté des Sciences de la Nature et de la Vie, Université Frères Mentouri Constantine 1, Constantine 25000, Algeria
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Laboratoire de Génie des Procédés de l’Environnement, Faculté du Génie des Procédés, Université Constantine 3, Constantine 25000, Algeria
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Département de Biologie, Faculté des Sciences de la Nature et de la Vie, Université M’hamed Bougera, Boumerdess 35000, Algeria
*
Author to whom correspondence should be addressed.
Foods 2017, 6(8), 64; https://doi.org/10.3390/foods6080064
Received: 16 July 2017 / Revised: 3 August 2017 / Accepted: 3 August 2017 / Published: 7 August 2017
(This article belongs to the Special Issue Microbiology of Fermented Foods and Beverages)
This work aims to study the production of the biomass of S. cerevisiae on an optimized medium using date extract as the only carbon source in order to obtain a good yield of the biomass. The biomass production was carried out according to the central composite experimental design (CCD) as a response surface methodology using Minitab 16 software. Indeed, under optimal biomass production conditions, temperature (32.9 °C), pH (5.35) and the total reducing sugar extracted from dates (70.93 g/L), S. cerevisiae produced 40 g/L of their biomass in an Erlenmeyer after only 16 h of fermentation. The kinetic performance of the S. cerevisiae strain was investigated with three unstructured models i.e., Monod, Verhulst, and Tessier. The conformity of the experimental data fitted showed a good consistency with Monod and Tessier models with R2 = 0.945 and 0.979, respectively. An excellent adequacy was noted in the case of the Verhulst model (R2 = 0.981). The values of kinetic parameters (Ks, Xm, μm, p and q) calculated by the Excel software, confirmed that Monod and Verhulst were suitable models, in contrast, the Tessier model was inappropriately fitted with the experimental data due to the illogical value of Ks (−9.434). The profiles prediction of the biomass production with the Verhulst model, and that of the substrate consumption using Leudeking Piret model over time, demonstrated a good agreement between the simulation models and the experimental data. View Full-Text
Keywords: Saccharomyces cerevisiae; biomass; date extract; optimization; response surface methodology; kinetic models Saccharomyces cerevisiae; biomass; date extract; optimization; response surface methodology; kinetic models
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MDPI and ACS Style

Kara Ali, M.; Outili, N.; Ait Kaki, A.; Cherfia, R.; Benhassine, S.; Benaissa, A.; Kacem Chaouche, N. Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM). Foods 2017, 6, 64. https://doi.org/10.3390/foods6080064

AMA Style

Kara Ali M, Outili N, Ait Kaki A, Cherfia R, Benhassine S, Benaissa A, Kacem Chaouche N. Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM). Foods. 2017; 6(8):64. https://doi.org/10.3390/foods6080064

Chicago/Turabian Style

Kara Ali, Mounira, Nawel Outili, Asma Ait Kaki, Radia Cherfia, Sara Benhassine, Akila Benaissa, and Noreddine Kacem Chaouche. 2017. "Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM)" Foods 6, no. 8: 64. https://doi.org/10.3390/foods6080064

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