Chavan Abhijit R, Raghunathan Anuradha, Venkatesh K V
Department of Chemical Engineering, Indian Institute of Technology, Bombay, Powai, Mumbai, 400076, India.
J Ind Microbiol Biotechnol. 2009 Apr;36(4):509-19. doi: 10.1007/s10295-008-0520-9. Epub 2009 Jan 10.
Simultaneous saccharification and fermentation (SSF) is a combined process of saccharification of a renewable bioresource and fermentation process to produce products, such as lactic acid and ethanol. Recently, SSF has been extensively used to convert various sources of cellulose and starch into fermentative products. Here, we present a study on production of buttery flavors, namely diacetyl and acetoin, by growing Lactobacillus rhamnosus on a starch medium containing the enzyme glucoamylase. We further develop a structured kinetics for the SSF process, which includes enzyme and growth kinetics. The model was used to simulate the effect of pH and temperature on the SSF process so as to obtain optimum operating conditions. The model was experimentally verified by conducting SSF using an initial starch concentration of 100 g/L. The study demonstrated that the developed kinetic was able to suggest strategies for improved productivities. The developed model was able to accurately predict the enhanced productivity of flavors in a three stage process with intermittent addition of starch. Experimental and simulations demonstrated that citrate addition can also lead to enhanced productivity of flavors. The developed optimal model for SSF was able to capture the dynamics of SSF in batch mode as well as in a three stage process. The structured kinetics was also able to quantify the effect of multiple substrates present in the medium. The study demonstrated that structured kinetic models can be used in the future for design and optimization of SSF as a batch or a fed-batch process.
同步糖化发酵(SSF)是将可再生生物资源糖化与发酵过程相结合以生产乳酸和乙醇等产品的过程。最近,SSF已被广泛用于将各种纤维素和淀粉来源转化为发酵产品。在此,我们展示了一项关于在含有葡萄糖淀粉酶的淀粉培养基上培养鼠李糖乳杆菌来生产黄油风味物质(即双乙酰和乙偶姻)的研究。我们进一步开发了SSF过程的结构化动力学模型,其中包括酶动力学和生长动力学。该模型用于模拟pH值和温度对SSF过程的影响,以获得最佳操作条件。通过使用初始淀粉浓度为100 g/L进行SSF实验验证了该模型。研究表明,所开发的动力学能够提出提高生产率的策略。所开发的模型能够准确预测在分阶段间歇添加淀粉的三阶段过程中风味物质生产率的提高。实验和模拟表明,添加柠檬酸盐也能提高风味物质的生产率。所开发的SSF最优模型能够捕捉间歇模式以及三阶段过程中SSF的动态变化。结构化动力学还能够量化培养基中多种底物的影响。研究表明,结构化动力学模型未来可用于设计和优化作为间歇或补料分批过程的SSF。