4.5 Article

Process optimization involving critical evaluation of oxygen transfer, oxygen uptake and nitrogen limitation for enhanced biomass and lipid production by oleaginous yeast for biofuel application

期刊

BIOPROCESS AND BIOSYSTEMS ENGINEERING
卷 41, 期 8, 页码 1103-1113

出版社

SPRINGER
DOI: 10.1007/s00449-018-1939-7

关键词

Biodiesel; k(L)a; Nitrogen limitation; Oleaginous yeast; Oxygen saturation

资金

  1. Ministry of New and Renewable Energy, Government of India
  2. Department of Biotechnology, Government of India [BT/PR6909/PBD/26/391/2013]

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Lipid accumulation in oleaginous yeast is generally induced by nitrogen starvation, while oxygen saturation can influence biomass growth. Systematic shake flask studies that help in identifying the right nitrogen source and relate its uptake kinetics to lipid biosynthesis under varying oxygen saturation conditions are very essential for addressing the bioprocessing-related issues, which are envisaged to occur in the fermenter scale production. In the present study, lipid bioaccumulation by P. guilliermondii at varying C:N ratios and oxygen transfer conditions (assessed in terms of k (L) a) was investigated in shake flasks using a pre-optimized N-source and a two-stage inoculum formulated in a hybrid medium. A maximum lipid concentration of 10.8 +/- 0.5 g L-1 was obtained in shake flask study at the optimal condition with an initial C:N and k (L) a of 60:1 and 0.6 min(-1), respectively, at a biomass specific growth rate of 0.11 h(-1). Translating these optimal shake flask conditions to a 3.7 L stirred tank reactor resulted in biomass and lipid concentrations of 16.74 +/- 0.8 and 8 +/- 0.4 g L-1. The fatty acid methyl ester (FAME) profile of lipids obtained by gas chromatography was found to be suitable for biodiesel application. We strongly believe that the rationalistic approach-based design of experiments adopted in the study would help in achieving high cell density with improved lipid accumulation and also minimize the efforts towards process optimization during bioreactor level operations, consequently reducing the research and development-associated costs.

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