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超高浓度培养基条件下酵母细胞生长及酒精生成的准稳态动力学研究
引用本文:陈丽杰,白凤武,WA Anderson,M Moo-Young.超高浓度培养基条件下酵母细胞生长及酒精生成的准稳态动力学研究[J].生物加工过程,2004,2(2):25-29.
作者姓名:陈丽杰  白凤武  WA Anderson  M Moo-Young
作者单位:1. 大连理工大学,生物科学与工程系,大连,116023
2. Department of Chemical Engineering, University of Waterloo, ON, N2L 3G1
摘    要:在1.5L搅拌式发酵罐中,使用葡萄糖质量浓度分别为120、200、280g/L的培养基进行酿酒酵母Saccharomyces cerevisiae连续发酵生成酒精的动力学研究。研究发现,当培养基中葡萄糖浓度为200和280g/L时,发酵液中残糖浓度、酒精浓度以及菌体生物量从小幅度波动的准稳态发展到大幅度波动的振荡状态。提出了伴有周期性振荡现象准稳态过程的概念,并针对该过程,建立了兼有底物和产物抑制的酵母细胞生长和产物酒精生成动力学模型。

关 键 词:酿酒酵母  超高密度  准稳态  酵母细胞  生长  酒精生成  动力学模型
文章编号:1672-3678-2004-02-0025-05
修稿时间:2004年3月12日

Observed quasi-steady kinetics of yeast cell growth and ethanol formation under very high gravity medium condition
CHEN Li-jie ,BAI Feng-wu ,WA Anderson ,M Moo-Young.Observed quasi-steady kinetics of yeast cell growth and ethanol formation under very high gravity medium condition[J].Chinese Journal of Bioprocess Engineering,2004,2(2):25-29.
Authors:CHEN Li-jie  BAI Feng-wu  WA Anderson  M Moo-Young
Institution:CHEN Li-jie 1,BAI Feng-wu 1,WA Anderson 2,M Moo-Young 2
Abstract:Investigation in continuous ethanol production was conducted in a stirred tank bioreactor with a working volume of 1 5 L using Saccharomyces cerevisiae and the media containing glucose of 120, 200 and 280 g/L, respectively The result was indicated that the relatively small fluctuations of the residual glucose, ethanol and biomass in the quasi steady states developed gradually into oscillation state with which these process parameters greatly changed when high gravity media containing glucose of 200 and 280 g/L were fed A new concept correlating the quasi steady state with the periodical oscillation was proposed as these oscillations occurred with about the same amplitude and relatively short period Finally, the kinetic models correlating the cell growth and the ethanol yield with the inhibitions of substrate and product were developed to illustrate the quasi steady state
Keywords:Saccharomyces cerevisiae  very high gravity  observed quasi-steady states  yeast cell growth  ethanol formation  kinetic model
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