Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM)
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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-08-01
|
| Series: | Foods |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-8158/6/8/64 |
| _version_ | 1818133530673152000 |
|---|---|
| author | Mounira Kara Ali Nawel Outili Asma Ait Kaki Radia Cherfia Sara Benhassine Akila Benaissa Noreddine Kacem Chaouche |
| author_facet | Mounira Kara Ali Nawel Outili Asma Ait Kaki Radia Cherfia Sara Benhassine Akila Benaissa Noreddine Kacem Chaouche |
| author_sort | Mounira Kara Ali |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T08:54:11Z |
| format | Article |
| id | doaj.art-bbf2911631f044e8b42349b2b63dad11 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-12-11T08:54:11Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-bbf2911631f044e8b42349b2b63dad112022-12-22T01:13:57ZengMDPI AGFoods2304-81582017-08-01686410.3390/foods6080064foods6080064Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM)Mounira Kara Ali0Nawel Outili1Asma Ait Kaki2Radia Cherfia3Sara Benhassine4Akila Benaissa5Noreddine Kacem Chaouche6Laboratoire 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, AlgeriaLaboratoire de Génie des Procédés de l’Environnement, Faculté du Génie des Procédés, Université Constantine 3, Constantine 25000, AlgeriaDépartement de Biologie, Faculté des Sciences de la Nature et de la Vie, Université M’hamed Bougera, Boumerdess 35000, AlgeriaLaboratoire 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, AlgeriaLaboratoire 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, AlgeriaLaboratoire de Génie des Procédés de l’Environnement, Faculté du Génie des Procédés, Université Constantine 3, Constantine 25000, AlgeriaLaboratoire 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, AlgeriaThis 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.https://www.mdpi.com/2304-8158/6/8/64Saccharomyces cerevisiaebiomassdate extractoptimizationresponse surface methodologykinetic models |
| spellingShingle | Mounira Kara Ali Nawel Outili Asma Ait Kaki Radia Cherfia Sara Benhassine Akila Benaissa Noreddine Kacem Chaouche Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM) Foods Saccharomyces cerevisiae biomass date extract optimization response surface methodology kinetic models |
| title | Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM) |
| title_full | Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM) |
| title_fullStr | Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM) |
| title_full_unstemmed | Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM) |
| title_short | Optimization of Baker’s Yeast Production on Date Extract Using Response Surface Methodology (RSM) |
| title_sort | optimization of baker s yeast production on date extract using response surface methodology rsm |
| topic | Saccharomyces cerevisiae biomass date extract optimization response surface methodology kinetic models |
| url | https://www.mdpi.com/2304-8158/6/8/64 |
| work_keys_str_mv | AT mounirakaraali optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm AT naweloutili optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm AT asmaaitkaki optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm AT radiacherfia optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm AT sarabenhassine optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm AT akilabenaissa optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm AT noreddinekacemchaouche optimizationofbakersyeastproductionondateextractusingresponsesurfacemethodologyrsm |