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Dynamic pH Model for Autotrophic Growth of Microalgae in Photobioreactor: A Tool for Monitoring and Control Purposes

机译:光生物反应器微营养生长的动态pH模型:监测和控制目的的工具

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摘要

A dynamic model for the photoautotrophic growth of microalgae in photobioreactor that describes the main variables of the system and allows the precise prediction of the pH in the culture was proposed and validated. The dynamic behavior of the biological system was expressed through a multistate model in continuous-time formulation, based on mass-balance equations and local photosynthetic responses of the anisotropic medium, further associated with a set of algebraic equations that describes the thermodynamic properties of the ammonia—carbon dioxide—water ternary solute system. The global photoautotrophic growth model was validated on experimental data acquired from a torus reactor inoculated with Chlamydomonas reinhardtii cells. The model response was studied in simulation for all identified input variables (dilution rate, incident light intensity, temperature, and flow rates of input gases).
机译:提出了一种描述了系统主要变量的光生物凝血剂的光学养殖生长的动态模型,并提出了培养物中pH的精确预测。 基于各向异性介质的大规模平衡方程和局部光合反应的连续时间制剂中的多体模型表达了生物系统的动态行为,进一步与描述氨的热力学性质的一组代数方程相关联 - 二氧化碳水三元溶质系统。 全局光拍营养性生长模型验证了从接种衣原体Reinhardtii细胞接种的托鲁斯反应器获取的实验数据上。 研究了模拟响应,用于所有识别的输入变量(稀释率,入射光强度,温度和输入气体的流速)的模拟。

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