A mathematical model for the study of lipid accumulation in oleaginous microorganisms .2. Study of cellular lipids of Mucor circinelloides during growth on a vegetable oil

被引:22
作者
Aggelis, G
Komaitis, M
Papanikolaou, S
Papadopoulos, G
机构
[1] Dept. Of Agricultural Biology and Biotechnology, Agricultural University of Athens, Iera odos 75, Athens
[2] Dept. Of Agricultural Industries, Agricultural University of Athens, Iera odos 75, Athens
[3] Dept. Of Mathematics., Agricultural University of Athens, Iera odos 75, Athens
基金
美国国家科学基金会;
关键词
lipid (accumulation); mathematical model; mucor circinelloides CBS 172-27; sunflower oil;
D O I
10.3989/gya.1995.v46.i4-5.932
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Microbial oil production from fatty materials of animal or plant origin has been an object of research and industrial interest for many years. During the process of microbial growth/accumulation of fat reserves, the dominating phenomena that define the composition of endocellular fat are, first, the specific process of incorporation of substrate fatty acids into the microbial cell and, second, the endocellular changes of fatty acids defined by the enzymic capabilities of the microorganism. The fatty acids will either be degraded for growth needs or act as substrate of endocellular biotransformation processes, leading to concentration changes and production of ''new'' fatty acids which did not previously exist in the substrate. The purpose of the present work is to study the endocellular lipids of Mucor circinelloides CBS 172-27 grown on sunflower oil. The mathematical model, described in part 1, was applied in order to investigate the following: a. Microorganism specificity in the incorporation of substrate fatty acids. b. Microorganism specificity in the degradation of fatty acids present in the reserve fat. c. Possibilities of endocellular biotransformations during the microbial growth. In conclusion, this work is aimed at developing a quantitative expression ol parameters defining the lipid composition of fat reserves. The proposed mathematical model can be used not only for selection of microbial strains having specific enzymic potential but also for substrate selection.
引用
收藏
页码:245 / 250
页数:6
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