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    Optimization of the Fermentation Conditions for Brewing Yeast Biomass Production Using the Response Surface Methodology and Taguchi Technique

    Year: 2021

    Journal: Agriculture-Basel, Volume 11, DEC

    Authors: Barbulescu, Iuliana Diana; Ghica, Mihaela Violeta; Begea, Mihaela; Albu Kaya, Madalina Georgiana; Teodorescu, Razvan Ionut; Popa, Lacramioara; Marculescu, Simona Ioana; Ciric, Alexandru Ionut; Dumitrache, Corina; Lupuliasa, Dumitru; Matei, Florentina; Dinu-Pirvu, Cristina-Elena

    Organizations: Romanian Ministry of Research and Innovation, CCCDI-UEFISCDI, within PNCDI III [26BG/2016, PN-III-P3-3.5-EUK-2017D-0111]; Carol Davila University of Medicine and Pharmacy Bucharest [CNFIS-FDI-2021-0300]; RDI Capability consolidation at the Institutional level of the multidisciplinary research teams involved in the sustainability of UMFCD priority research directions

    Keywords: brewing yeast biomass; Saccharomyces pastorianus ssp; carlsbergensis W34; lyophilization; Taguchi design; biotechnological parameter optimization; response surface methodology; signal-to-noise ratio

    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.
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