摘要翻译：
为了解决微藻生长的预测问题，建立了许多模型。但是，这些模型都是半经验的，或者理论模型中存在相当大的拟合系数。因此，拟合系数降低了模型的预测能力。微藻的生长机理至今未被清楚了解，其生长状态与微藻菌种有关。上述原因导致了微藻生长问题在理论预测上的难度较大。此外，所建立的模型的预测结果与光生物反应器(PBR)的大小、光强、流场和浓度场有关。因此，因变量的生长率是自变量的函数，包括营养盐浓度、光照强度、流场、PBR大小、温度、pH值。实验工作为每个自变量106个，选取不能完成的6个变量中的10个值。无量纲化方法可能为解决这一问题提供了一种途径。本文给出了平行流的生长速率的解析解。无量纲增长率表示为雷诺数和施密特数的函数，由于参数的不同，可用于任意平行流动。用生长速率的解对实验测量的数据进行了预测。结果表明，理论预测的生长速率与实验测得的微藻生长速率在数量级上是一致的。这些结果将有助于生物燃料生产用PBRs的设计和运行。
---
英文标题：
《A trial for theoretical prediction of microalgae growth for parallel
  flow》
---
作者：
C. Y. Ma
---
最新提交年份：
2019
---
分类信息：

一级分类：Physics        物理学
二级分类：Biological Physics        生物物理学
分类描述：Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象（量子生物物理）、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
--
一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
--

---
英文摘要：
  Many models established for solving the problem of the prediction of microalgae growth. However, the models are semi-empirical or considerable fitting coefficients exist in the theoretical model. Therefore, the prediction ability of the model is reduced by the fitting coefficients. The growth mechanism of microalgae is not clearly understood until now, and the growth state is related to the microalgae strains. The above reasons conducted the problem of microalgae growth is much difficult in theoretical prediction. Furthermore, the predicted results of the established models are dependent on the size of the photobioreactor (PBR), light intensity, flow field, and concentration field. Therefore, the growth rate of the dependent variable is the function of independent variables including nutrients concentration, light intensity, flow field, PBR size, temperature, pH. The experimental works are 106 for each independent variable selects 10 values of 6 variables which can not be accomplished. The dimensionless method maybe provide a way to solve the problem. In this paper, the analytical solution of the growth rate was obtained for the parallel flow. The dimensionless growth rate expressed as function of Reynolds number and Schmidt number, which can be used for arbitrary parallel flow due to the parameters are expressed as dimensionless quantity. The solution of growth rate was used to predict the experimentally measured data. The results show that the theoretically predicted growth rate is consistent with the experimentally measured growth rate of microalgae on the order of magnitude. These results will be useful in the design and operation of PBRs for biofuel production.
---
PDF链接：
https://arxiv.org/pdf/1908.01472