Journal of Food, Nutrition and Population Health Open Access

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A statistical approach to investigate the effects of biotechnological parameters on the obtaining and processing of brewing yeast biomass

2nd EuroSciCon Conference on Food Technology
May 14-16, 2018 Rome, Italy

M V Ghica, M G Albu Kaya, M Begea, R I Teodorescu, Lacramioara Popa, C E Dinu Pirvu, A I Ciric, S I Marinescu, V Tudor, R N Negrila and I D Barbulescu

Carol Davilaâ�? University of Medicine and Pharmacy, Romania The National Research & Development Institute for Textiles and Leather, Romania University Politehnica of Bucharest, Romania University of Agronomic Sciences and Veterinary Medicine of Bucharest, Romania Pharmacorp Innovation SRL, Romania Agsira SRL, Dolj, Romania

Posters & Accepted Abstracts: J Food Nutr Popul Health

Abstract:

Extensive studies related to the introduction of yeast products, yeast-derivatives and yeast-containing ingredients in animal feeds were conducted. Thus, yeasts are nowadays used as alternative supplements in animal feeds due to their important nutritional value consisting in an appreciable content in proteins, amino acids, nucleic acids, vitamins (especially B-complex vitamins) and minerals. Brewing yeast biomass, one of the main product resulted from brewing industry, proved benefits for ruminants showing its potential in improving animal growth performance and health. Brewing yeast products are used in dried or wet forms. Wet yeasts may cause some issues (short preservation time, high contamination risks, and large shipping and storage costs), therefore, one of the most used yeast biomass preservation technique is the lyophilisation was used. The major lyophilisation advantage consists in product properties recovery after rehydration. In this study we targeted the modelling and optimization at pilot level of yeast biomass obtaining process through a fermentation mediated by yeast strain Saccharomyces pastorianus spp. carlsbergensis W34/70. The biotechnological parameters monitored, designed according to a Taguchi fractional experimental plan with four factors at three levels, were: temperature, pH, carbon source and nitrogen source. The following system responses were set as dependent variables: yeast biomass amount in wet form (g/L), yeast biomass amount in dried form obtained by
lyophilisation (g/L), yeast viability quantified through colony forming units (CFU) per gram, dried yeast biomass wettability quantified though contact angle, protein content (%) and dry matter content (%). The response surface methodology allowed the visualization of the cultivation conditions effects on responses in the tridimensional space. Taguchi approach was further used to select the combination of biotechnological parameters that ensure the process of quality and robustness. This modern statistical approach could be applied for optimization on industrial scale of the fermentation process to obtain brewing yeast biomass, with potential use in ruminant nutrition.
 

Biography :

M V Ghica is Professor at Physical and Colloidal Chemistry Department, Faculty of Pharmacy, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania. She has graduated at Faculty of Pharmacy (2000), holds a PhD in Pharmacy (2008) and a Master’s degree at Faculty of Chemistry, University of Bucharest (2004). Her main research focus is on: (i) drug delivery systems design and development; (ii) use of experimental statistic design techniques combined with response surface methodology and Taguchi approach for the optimization of pharmaceutical systems formulation and technological processes. Her scientific activity was materialized in: 13 books, 2 book chapters, 81 articles (46 ISI), 148 studies presented at scientific meetings, 1 patent and 3 patent applications, and 15 awards. She was Project Manager for 2 national research projects, as well as partner responsible for 3 research projects (2 international/1 national). She was also a member of some scientific committees and experienced reviewer for various journals.
Email:mihaelaghica@yahoo.com

Email:mihaela.ghica@umfcd.ro