使用多元回归模型更好地预测生物过程的巧妙装置:葡萄糖异构酶生产的案例研究

Siriluk Teeradakorn , Michimasa Kishimoto , Pairoh Pinphanichakarn , Toshiomi Yoshida
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引用次数: 0

摘要

提出了一种利用多元回归分析模型更好地预测生物过程中状态变量变化的巧妙装置。考虑到数据分布,在回归方程中引入了一个校正因子,用于估计比速率参数,从而改进了链霉菌融合体在周期性监测的批量培养过程中对葡萄糖异构酶产量的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ingenious device for better prediction of bio-processes using a multiple regression model: A case study on glucose isomerase production

An ingenious device in the use of a multiple regression analysis model for better prediction of state variable changes in bio-processes is proposed. A correction factor was introduced in the regression equations for the estimation of specific rate parameters taking into account the data distribution resulting in the improvement of the prediction of glucose isomerase production by a Streptomyces fusant during a batch cultivation with periodical monitoring.

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