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首页> 外文期刊>Biotechnology Progress >Kinetic Modeling of the Autotrophic Growth of Pavlova lutheri: Study of the Combined Influence of Light and Temperature
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Kinetic Modeling of the Autotrophic Growth of Pavlova lutheri: Study of the Combined Influence of Light and Temperature

机译:卢氏巴氏体自养生长的动力学模型:光和温度联合影响的研究

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The optimization and control of biochemical processes require the previous establishment of mathematical models that can describe the effect of process variables on their actual kinetics. Environmental temperature is a modulating factor to which the algal cells respond continuously by adjusting their rates of cellular reactions, their nutritional requirements, and, consequently, their biomass composition. Light intensity is an exhaustible resource, indispensable to autotrophic organisms. The effects of light intensity and temperature on growth of the microaalga Pavlova lutheri, which have hardely been considered to date in a simultaneos fashion, were experimentally assessed using a factorial experimental design; in this way, the effects of each variable independently and their interactions could be quantified, using maximum biomass (X_mass) or maximum specific growth rate (mu_max) as objective functions. The preliminary results produced indicated that light intenity plays a more important role on mu_max than temperaturel; in the case of X_max, both temperature and, to a lesser extent, light intensity do apparently play a role. The highest values of X_max were associated with low temperatures and high light intensities; a similar behavior could be observed for mu_max concerning light intensity, although the dependency on temperature did not seem to be as important. A more complex mechanistic model was then postulated, incorporating light and temperature as input variables, which was successfully fitted to the experimental data generated during batch cultivation of P. lutheri.
机译:生物化学过程的优化和控制需要先前建立的数学模型,该数学模型可以描述过程变量对其实际动力学的影响。环境温度是藻类细胞通过调节其细胞反应速率,其营养需求以及因此其生物量组成来连续响应的调节因子。光强度是一种可耗尽的资源,对于自养生物来说是必不可少的。使用析因实验设计,通过实验评估了光强度和温度对微藻生长的影响。以这种方式,可以使用最大生物量(X_mass)或最大比生长速率(mu_max)作为目标函数,独立地量化每个变量的影响及其相互作用。产生的初步结果表明,光强度对mu_max的作用比对温度1的作用更大。在X_max的情况下,温度和较小程度的光强度显然都起作用。 X_max的最高值与低温和高光强度有关。尽管对温度的依赖性似乎不那么重要,但对于mu_max,在光强度方面也可以观察到类似的行为。然后,提出了一个更复杂的机械模型,将光和温度作为输入变量,该模型成功地拟合了路德氏假单胞菌批量培养期间产生的实验数据。

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