Identifyability measures to select the parameters to be estimated in a solid-state fermentation distributed parameter model

作     者：da Silveira, Christian L. Mazutti, Marcio A. Salau, Nina P. G. 

作者机构：Univ Fed Santa Maria Dept Chem Engn Santa Maria RS Brazil 

出 版 物：《BIOTECHNOLOGY PROGRESS》 (生物技术进展)

年 卷 期：2016年第32卷第4期

页      面：905-917页

核心收录：

学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 08[工学] 09[农学] 0901[农学-作物学] 0836[工学-生物工程] 090102[农学-作物遗传育种] 

主　　题：solid-state fermentation bioreactor distributed parameter model parameters identifyability analysis and estimation optimization 

摘      要：Process modeling can lead to of advantages such as helping in process control, reducing process costs and product quality improvement. This work proposes a solid-state fermentation distributed parameter model composed by seven differential equations with seventeen parameters to represent the process. Also, parameters estimation with a parameters identifyability analysis (PIA) is performed to build an accurate model with optimum parameters. Statistical tests were made to verify the model accuracy with the estimated parameters considering different assumptions. The results have shown that the model assuming substrate inhibition better represents the process. It was also shown that eight from the seventeen original model parameters were nonidentifiable and better results were obtained with the removal of these parameters from the estimation procedure. Therefore, PIA can be useful to estimation procedure, since it may reduce the number of parameters that can be evaluated. Further, PIA improved the model results, showing to be an important procedure to be taken. (c) 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:905-917, 2016