• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于通路分析的青霉素发酵补料分批过程的控制模型。

Cybernetic modeling based on pathway analysis for Penicillium chrysogenum fed-batch fermentation.

机构信息

Department of Automation, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240, Shanghai, People's Republic of China.

出版信息

Bioprocess Biosyst Eng. 2010 Aug;33(6):665-74. doi: 10.1007/s00449-009-0340-y. Epub 2009 Jun 19.

DOI:10.1007/s00449-009-0340-y
PMID:19543751
Abstract

A macrokinetic model employing cybernetic methodology is proposed to describe mycelium growth and penicillin production. Based on the primordial and complete metabolic network of Penicillium chrysogenum found in the literature, the modeling procedure is guided by metabolic flux analysis and cybernetic modeling framework. The abstracted cybernetic model describes the transients of the consumption rates of the substrates, the assimilation rates of intermediates, the biomass growth rate, as well as the penicillin formation rate. Combined with the bioreactor model, these reaction rates are linked with the most important state variables, i.e., mycelium, substrate and product concentrations. Simplex method is used to estimate the sensitive parameters of the model. Finally, validation of the model is carried out with 20 batches of industrial-scale penicillin cultivation.

摘要

提出了一种采用控制论方法的宏观动力学模型来描述菌丝体生长和青霉素生产。该模型基于文献中发现的青霉素克鲁维酵母的原始完整代谢网络,通过代谢通量分析和控制论建模框架进行建模。抽象的控制论模型描述了基质消耗速率、中间产物同化速率、生物量生长速率以及青霉素形成速率的瞬态变化。结合生物反应器模型,这些反应速率与最重要的状态变量(即菌丝体、基质和产物浓度)相关联。单纯形法用于估计模型的敏感参数。最后,通过 20 批工业规模的青霉素发酵进行了模型验证。

相似文献

1
Cybernetic modeling based on pathway analysis for Penicillium chrysogenum fed-batch fermentation.基于通路分析的青霉素发酵补料分批过程的控制模型。
Bioprocess Biosyst Eng. 2010 Aug;33(6):665-74. doi: 10.1007/s00449-009-0340-y. Epub 2009 Jun 19.
2
A hybrid model of anaerobic E. coli GJT001: combination of elementary flux modes and cybernetic variables.厌氧大肠杆菌GJT001的混合模型:基本通量模式与控制论变量的结合。
Biotechnol Prog. 2008 Sep-Oct;24(5):993-1006. doi: 10.1002/btpr.73.
3
The development of an industrial-scale fed-batch fermentation simulation.工业规模补料分批发酵模拟的发展
J Biotechnol. 2015 Jan 10;193:70-82. doi: 10.1016/j.jbiotec.2014.10.029. Epub 2014 Nov 1.
4
Dynamic gene expression regulation model for growth and penicillin production in Penicillium chrysogenum.青霉素毕赤酵母生长和青霉素生产的动态基因表达调控模型。
Biotechnol Bioeng. 2010 Jul 1;106(4):608-18. doi: 10.1002/bit.22689.
5
Scale-down of penicillin production in Penicillium chrysogenum.青霉素产生菌的青霉素生产规模缩小。
Biotechnol J. 2011 Aug;6(8):944-58. doi: 10.1002/biot.201000409.
6
Metabolic control analysis of the penicillin biosynthetic pathway in a high-yielding strain of Penicillium chrysogenum.产黄青霉高产菌株青霉素生物合成途径的代谢控制分析
Biotechnol Prog. 1995 May-Jun;11(3):299-305. doi: 10.1021/bp00033a010.
7
Continuous cultivations of a Penicillium chrysogenum strain expressing the expandase gene from Streptomyces clavuligerus: Growth yields and morphological characterization.表达来自棒状链霉菌扩展酶基因的产黄青霉菌株的连续培养:生长产量和形态特征
Biotechnol Bioeng. 2003 Aug 5;83(3):361-8. doi: 10.1002/bit.10677.
8
Prediction of metabolic function from limited data: Lumped hybrid cybernetic modeling (L-HCM).从有限数据预测代谢功能:集中混合控制论建模(L-HCM)。
Biotechnol Bioeng. 2010 Jun 1;106(2):271-84. doi: 10.1002/bit.22692.
9
Modeling and parameters identification of 2-keto-L-gulonic acid fed-batch fermentation.2-酮基-L-古龙酸补料分批发酵的建模与参数识别
Bioprocess Biosyst Eng. 2015 Apr;38(4):605-14. doi: 10.1007/s00449-014-1300-8. Epub 2014 Oct 28.
10
Calculation errors of time-varying flux control coefficients obtained from elasticity coefficients by means of summation and connectivity theorems in metabolic control analysis.代谢控制分析中通过求和与关联定理,从弹性系数计算时变通量控制系数的计算误差。
Math Biosci. 2010 Feb;223(2):105-14. doi: 10.1016/j.mbs.2009.11.004. Epub 2009 Nov 20.