Suppr超能文献

通过重复补料分批发酵优化甲基营养型酵母毕赤酵母中人类血清白蛋白的生产。

Optimization of human serum albumin production in methylotrophic yeast Pichia pastoris by repeated fed-batch fermentation.

作者信息

Ohya Tomoshi, Ohyama Masao, Kobayashi Kaoru

机构信息

Protein Research Laboratories, Pharmaceuticals Research Division, Mitsubishi Pharma Corporation, 2-25-1 Shodai-ohtani, Hirakata, Osaka, 573-1153, Japan.

出版信息

Biotechnol Bioeng. 2005 Jun 30;90(7):876-87. doi: 10.1002/bit.20507.

Abstract

An optimization method for repeated fed-batch fermentation was established with the aim of improving the recombinant human serum albumin (rHSA) production in Pichia pastoris. A simulation model for fed-batch fermentation was formulated and the optimal methanol-feeding policy calculated by dynamic programming method using five different methanol-feeding periods. The necessary state variables were collected from the calculated results and used for further optimization of repeated fed-batch fermentation. The optimal operation policy was investigated using the pre-collected state variables by estimating the overall profit per total methanol-feeding time. The calculated results indicated that the initial cell mass from the 2nd fed-batch fermentation on should be set at 35 or 40 g and methanol-feeding time at 264 h. In repeated fed-batch fermentation using the optimal operation policy, actual culture volume was in good agreement with the values simulated by model equations, but some discrepancy was observed in rHSA production. Minimum experiments were therefore carried out to re-evaluate rHSA production levels, which were then applied in re-calculations to determine the optimal operation policy. The optimal policy for repeated fed-batch fermentation established in the present study (i.e., 4-times-repeated fed-batch fermentation) achieved a 47% increase in annual rHSA production. Optimization of the culture period also brought about a 28% increase in annual rHSA production even in simple (not repeated) fed-batch fermentation.

摘要

为提高毕赤酵母中重组人血清白蛋白(rHSA)的产量,建立了一种重复补料分批发酵的优化方法。构建了补料分批发酵的模拟模型,并采用动态规划方法,在五个不同的甲醇补料时间段下计算出最优甲醇补料策略。从计算结果中收集必要的状态变量,并用于进一步优化重复补料分批发酵。通过估算每总甲醇补料时间的总利润,利用预先收集的状态变量研究最优操作策略。计算结果表明,从第二次补料分批发酵开始,初始细胞质量应设定为35或40 g,甲醇补料时间设定为264 h。在采用最优操作策略的重复补料分批发酵中,实际培养体积与模型方程模拟的值吻合良好,但在rHSA产量方面存在一些差异。因此,进行了最少的实验来重新评估rHSA的产量水平,然后将其应用于重新计算以确定最优操作策略。本研究建立的重复补料分批发酵的最优策略(即4次重复补料分批发酵)使rHSA的年产量提高了47%。即使在简单(非重复)补料分批发酵中,培养周期的优化也使rHSA的年产量提高了28%。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验