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具有时变产率系数的混合营养微藻光生物反应器系统的动态建模及其对脂质消耗的影响。

Dynamic modelling of mixotrophic microalgal photobioreactor systems with time-varying yield coefficient for the lipid consumption.

机构信息

School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, Republic of Korea.

School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, Republic of Korea.

出版信息

Bioresour Technol. 2014 Jun;162:228-35. doi: 10.1016/j.biortech.2014.03.128. Epub 2014 Mar 31.

Abstract

Microalgae have been suggested as a promising feedstock for producing biofuel because of their potential for lipid production. In this study, microalgal photobioreactor systems under mixotrophic conditions were investigated, for the purpose of developing a mathematical model that predicts biomass and lipid production. The model was developed based on the Droop model, and the optimal input design using D-optimality criterion was performed to compute the system input profile, to estimate parameters more accurately. From the experimental observations, the newly defined yield coefficient was suggested to represent the consumption of lipid and nitrogen within the cell, which reduces the number of parameters with more accurate prediction. Furthermore, the lipid consumption rate was introduced to reflect the experimental results that lipid consumption is related to carbon source concentration. The model was validated with experiments designed with different initial conditions of nutrients and input changes, and showed good agreement with experimental observations.

摘要

微藻因其产脂潜力而被认为是生产生物燃料的有前途的原料。在这项研究中,研究了混养条件下的微藻光生物反应器系统,目的是开发一种预测生物质和脂质生产的数学模型。该模型是基于 Droop 模型开发的,并使用 D-最优性准则进行了最优输入设计,以计算系统输入曲线,从而更准确地估计参数。根据实验观察,建议使用新定义的产率系数来表示细胞内脂质和氮的消耗,这可以减少参数数量,并实现更准确的预测。此外,还引入了脂质消耗率来反映实验结果,即脂质消耗与碳源浓度有关。该模型通过设计不同初始养分条件和输入变化的实验进行了验证,与实验观察结果吻合良好。

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