Parameter identifiability in parallel reaction networks with application to single-walled carbon nanotubes

Kejia Chen, M. Kishida, Nitish Nair, M. Strano, R. Braatz
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引用次数: 2

Abstract

The class of parameter estimation problems is characterized for which only the ratio of the model parameters can be identified. A mathematical signature is provided for identifying such systems, which include fed-batch reactors commonly operated in the chemical and biotechnology industries, in which reaction networks operate under quasi-steady-state conditions due to limiting addition of a reagent. The theoretical results are demonstrated through application to a single-walled carbon nanotube (SWNT) reaction network relevant to the design of nanobiosensors. Sensitivity analysis implies that such a quasi-steady-state operation of a fed-batch reactor results in the loss of information, in which none of the model parameters can be estimated.
平行反应网络的参数可辨识性及其在单壁碳纳米管中的应用
这类参数估计问题的特点是只能识别模型参数的比率。提供了一种数学签名来识别这样的系统,其中包括通常在化学和生物技术工业中操作的进料批反应器,其中反应网络由于限制试剂的添加而在准稳态条件下运行。理论结果通过应用于与纳米生物传感器设计相关的单壁碳纳米管(SWNT)反应网络得到验证。灵敏度分析表明,这种进料间歇反应器的准稳态运行会导致信息丢失,其中模型参数无法估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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