化工进展 ›› 2015, Vol. 34 ›› Issue (04): 1068-1073.DOI: 10.16085/j.issn.1000-6613.2015.04.029

• 生物与医药化工 • 上一篇    下一篇

基于吉布斯耗散理论的生物量收率模拟计算

戚玉, 孙巍   

  1. 北京化工大学化学工程学院, 膜分离过程与技术北京市重点实验室, 北京 100029
  • 收稿日期:2014-06-20 修回日期:2014-08-07 出版日期:2015-04-05 发布日期:2015-04-05
  • 通讯作者: 孙巍,教授,博士生导师.E-mail sunwei@mail.buct.edu.cn.
  • 作者简介:戚玉(1990—),男,硕士研究生.
  • 基金资助:
    国家973计划项目(2013CB733600).

Simulation and calculation of biomass yield based on the theory of Gibbs dissipation

QI Yu, SUN Wei   

  1. Beijing Key Lab of Membrane Science and Technology, College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
  • Received:2014-06-20 Revised:2014-08-07 Online:2015-04-05 Published:2015-04-05

摘要: 随着生物化工技术的发展,生物化工研发过程日益重要.而在生物化工研发过程中,生物量收率是构成任何生物技术过程或者涉及微生物培养的实验过程的一个关键参数,因为它决定了最终生物量或者细胞浓度,必须强制对过程进行优化,以得到合理的生产率.为了研究不同因素对生物量收率的影响,以有氧呼吸、厌氧发酵等实际培养过程为例,利用热力学分析方法选取吉布斯耗散ΔrGx同微生物生长过程的关键参数YX/S进行了关联和分析.在此基础上,通过对已知实验数据的分析和回归,将生长吉布斯耗散ΔrGx同碳源的一些参数,比如碳链长度及还原度等进行了关联,最终得到一个基于吉布斯耗散理论的生物量收率模拟计算模型,并取得了理想的预测效果.

关键词: 热力学分析, 生物量收率, 吉布斯耗散

Abstract: With the development of biochemical technology,industrial biochemical research and process development became increasingly important. The biomass yield constituted one of the key parameters in any biotechnological process or experiment involving microbial cultures,as it could determine the absolute biomass or cell concentration,which must imperatively be optimized in order to obtain reasonable productivities. And in order to explore the influence of different factors on the biomass yield,aerobic respiration and anaerobic fermentation process were taken as examples in this paper. The Gibbs dissipation and key parameters in microbial growth process were analyzed. Through the analysis and regression of published experimental data,the Gibbs dissipation of microbial growth was related to carbon chain length and the degree of reduction. A rough model for biomass prediction based on the theory of the Gibbs dissipation theory was proposed. And the results were consistent well with published data.

Key words: thermodynamic analysis, biomass yield, Gibbs dissipation

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