期刊
JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY
卷 24, 期 1, 页码 41-45出版社
SPRINGER HEIDELBERG
DOI: 10.1038/sj.jim.2900765
关键词
agro-industrial by-products and surplus; grape must; Rhodotorula glutinis; microbial carotenoids; beta-carotene; multivariate statistical analysis; fractional factorial design; central composite design
A multivariate statistical approach was employed for the optimization of conditions for carotenoid production by Rhodotorula glutinis DBVPG 3853 from a substrate containing concentrated rectified grape must as the sole carbohydrate source. Several experimental parameters (carbohydrate, yeast autolysate and salt concentrations, and pH) were tested at two levels by following a fractional factorial design. Carotenogenesis was most sensitive to both initial pH and yeast autolysate concentration. A Central Composite Design experiment was then performed by obtaining both second-order polynomial models and isoresponse diagrams where initial pH and yeast autolysate concentration were considered as variables. In this way it was possible to determine the conditions (pH = 5.78, yeast autolysate = 4.67 g L-1) which maximize both the concentration of total carotenoids and that of beta-carotene (6.9 mg L-1 and 1100 mu g L-1 of culture fluid, respectively, after 120 h of fermentation).
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