Optimization of the Fermentation Conditions for Brewing Yeast Biomass Production Using the Response Surface Methodology and Taguchi Technique
Iuliana Diana Bărbulescu,
Mihaela Violeta Ghica,
Mihaela Begea,
Mădălina Georgiana Albu Kaya,
Răzvan Ionuț Teodorescu,
Lăcrămioara Popa,
Simona Ioana Mărculescu,
Alexandru Ionuț Cîrîc,
Corina Dumitrache,
Dumitru Lupuliasa,
Florentina Matei and
Cristina-Elena Dinu-Pîrvu
Additional contact information
Iuliana Diana Bărbulescu: Pharmacorp Innovation SRL, 313 Splaiul Unirii Blvd., 030138 Bucharest, Romania
Mihaela Violeta Ghica: Department of Physical and Colloidal Chemistry, Faculty of Pharmacy, University of Medicine and Pharmacy “Carol Davila”, 6 Traian Vuia Str., 020956 Bucharest, Romania
Mihaela Begea: Faculty of Biotechnical Systems Engineering, University Politehnica of Bucharest, 313 Splaiul Independenței, 060042 Bucharest, Romania
Mădălina Georgiana Albu Kaya: Department of Collagen, Division Leather and Footwear Research Institute, National Research and Development Institute for Textile and Leather, 93 Ion Minulescu Str., 031215 Bucharest, Romania
Răzvan Ionuț Teodorescu: Faculty of Land Reclamation and Environmental Engineering, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Mărăști Blvd., 011464 Bucharest, Romania
Lăcrămioara Popa: Department of Physical and Colloidal Chemistry, Faculty of Pharmacy, University of Medicine and Pharmacy “Carol Davila”, 6 Traian Vuia Str., 020956 Bucharest, Romania
Simona Ioana Mărculescu: Pharmacorp Innovation SRL, 313 Splaiul Unirii Blvd., 030138 Bucharest, Romania
Alexandru Ionuț Cîrîc: Faculty of Biotechnical Systems Engineering, University Politehnica of Bucharest, 313 Splaiul Independenței, 060042 Bucharest, Romania
Corina Dumitrache: Pharmacorp Innovation SRL, 313 Splaiul Unirii Blvd., 030138 Bucharest, Romania
Dumitru Lupuliasa: Department of Pharmaceutical Technology and Biopharmacy, Faculty of Pharmacy, University of Medicine and Pharmacy “Carol Davila”, 6 Traian Vuia Str., 020956 Bucharest, Romania
Florentina Matei: Biotechnology Department, Faculty of Biotechnology, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Mărăști Blvd., 011464 Bucharest, Romania
Cristina-Elena Dinu-Pîrvu: Department of Physical and Colloidal Chemistry, Faculty of Pharmacy, University of Medicine and Pharmacy “Carol Davila”, 6 Traian Vuia Str., 020956 Bucharest, Romania
Agriculture, 2021, vol. 11, issue 12, 1-18
Abstract:
Yeast (including brewing yeast) and yeast-based preparations derived from bioprocesses or agroindustrial byproducts represent valuable feed additives and ingredients for ruminants. The optimization of brewing yeast biotechnological processing through fermentation mediated by the brewing yeast strain Saccharomyces pastorianus ssp. carlsbergensis W34/70 was investigated. The cultivation conditions (temperature, pH, carbon source, and nitrogen source) were selected and designed according to a Taguchi fractional experimental plan, with four factors on three levels, and their influence on the evolution of the bioprocess of obtaining the brewing yeast biomass was evaluated. The dependent variables were the yeast biomass amount in wet form, yeast biomass amount in dried form after lyophilization, dried yeast biomass wettability assayed through the contact angle (CA), protein content (PC), and dry matter content (DS). The effects that the experimental conditions had on the system responses were visualized in tridimensional space using the response surface methodology, and the combination of biotechnological parameters that ensured process quality and robustness was then determined using the Taguchi technique through its performance indicator, i.e., the signal-to-noise ratio. By optimizing the biotechnological parameters, this study provides a valuable contribution in the area of brewing yeast biomass processing, with the aim of producing probiotic yeast for ruminant nutrition.
Keywords: brewing yeast biomass; Saccharomyces pastorianus ssp. carlsbergensis W34/70; lyophilization; Taguchi design; biotechnological parameter optimization; response surface methodology; signal-to-noise ratio (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:11:y:2021:i:12:p:1237-:d:698131
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