研究报告

灵芝固态发酵三七渣的动力学研究

  • 谭显东 ,
  • 陈星颖 ,
  • 王浪 ,
  • 邹健 ,
  • 蔡坤佑 ,
  • 陈香楚
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  • (成都信息工程大学 资源环境学院,四川 成都,610225)
第一作者:博士,教授(通信作者,E-mail:329619195@qq.com)

收稿日期: 2024-08-25

  修回日期: 2024-11-05

  网络出版日期: 2025-08-22

基金资助

四川省重点研发计划项目(2021YFG0263);成都市技术创新研发项目(2019-YF05-02457-SN)

Solid fermentation kinetics of Panax notoginseng residues by Ganoderma lucidum

  • TAN Xiandong ,
  • CHEN Xingying ,
  • WANG Lang ,
  • ZOU Jian ,
  • CAI Kunyou ,
  • CHEN Xiangchu
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  • (College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China)

Received date: 2024-08-25

  Revised date: 2024-11-05

  Online published: 2025-08-22

摘要

为提供灵芝固态发酵三七渣的过程控制和发酵反应器的设计、放大的理论基础,该研究对发酵过程中灵芝生物量、次级代谢产物、基质的动态变化过程进行拟合,建立了发酵动力学模型,并在此基础上通过微分法获得了菌体生长速率、次级代谢产物合成速率和基质降解速率方程。研究结果表明,灵芝固态发酵三七渣属于产物形成与菌体生长相耦联的类型,微生物生长动力学、次级代谢产物合成动力学适合采用对数模型进行描述,基质降解动力学适合采用四参数对数模型进行描述。这些模型调整后的决定系数R2adj分别为0.986 9、0.995 2、0.988 5和0.995 9。发酵过程中灵芝最大生物量为46.76%,比生长速率常数为0.413 8/d,灵芝生长速率最大值为4.834%/d;灵芝三萜与灵芝多糖含量的最大值分别为0.417 2%、3.935%,比合成速率常数分别为0.651 7/d、0.607 0/d,灵芝三萜和灵芝多糖的最大合成速率分别为0.067 96%/d、0.597 1%/d;总糖半衰期为9.243 d,降解速率最大值为3.576%/d。该研究结果可用于发酵过程的工艺控制和发酵反应器的设计、放大。

本文引用格式

谭显东 , 陈星颖 , 王浪 , 邹健 , 蔡坤佑 , 陈香楚 . 灵芝固态发酵三七渣的动力学研究[J]. 食品与发酵工业, 2025 , 51(15) : 144 -151 . DOI: 10.13995/j.cnki.11-1802/ts.040847

Abstract

This research seeks to establish a theoretical framework for the process control of solid-state fermentation, as well as the design and scale-up of fermentation reactors utilizing Panax notoginseng residues with Ganoderma lucidum.The study involved modeling the dynamic variations in G.lucidum biomass, secondary metabolites, and substrate throughout the fermentation process to create a detailed fermentation kinetics model.By employing the differential method, equations were formulated to describe the microbial growth rate, the rate of secondary metabolite synthesis, and the rate of substrate degradation.Findings suggest that the solid-state fermentation of P. notoginseng residues utilizing G.lucidum exhibits a coupling pattern between product formation and microbial growth.Logarithmic models represent most accurately the kinetics of microbial growth and the synthesis of secondary metabolites, whereas a four-parameter logarithmic model can describe the kinetics of substrate degradation.The adjusted correlation coefficients (R2adj) for these models are 0.986 9, 0.995 2, 0.988 5, and 0.995 9, respectively.The maximum biomass yield of G.lucidum during the fermentation process was recorded at 46.76%, accompanied by a specific growth rate constant of 0.413 8/d and a peak growth rate of 4.834%/d.The highest concentrations of triterpenes and polysaccharides obtained from G.lucidum are 0.417 2% and 3.935%, respectively, with specific synthesis rate constants of 0.651 7/d for triterpenes and 0.607 0/d for polysaccharides.The peak synthesis rates for triterpenes and polysaccharides are 0.067 96%/d and 0.597 1%/d, respectively.Additionally, the half-life of total sugar is 9.243 d, with a maximum degradation rate of 3.576%/d.The results offer significant insights for the optimization of fermentation processes and the design and scaling of fermentation reactors.

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