PDF(Pubmed)
Abstract：
Spirulina platensis has been considered a promising source of food supplement to combat malnutrition worldwide. Numerous investigations have stated its immune activity, ability to absorb CO2 during the growth period, and antioxidant potential. Well-known theoretical biomass kinetic model sheds are capable of qualitative analysis of the fast microalgae growth. In this regard, we considered eight popular biomass models: Monod, Haldane, Andrews & Noack, Teissier, Hinshelwood, Yano & Koga, Webb and, Aiba model comprising analytical investigation within the numerical simulation. Besides, in this study, we establish a new mathematical biomass growth model by merging the well-known Hinshelwood and Yano & Koga models. We explored the most suitable Spirulina growth model to minimize the overstated and understated growth trends in the assorted eight biomass kinetic models. Our findings show microalgae biomass growth and substrate diminishes along with time, and these results were compared with available experimental data. Results present a high value of R2(0.9862), a low value of RSS (0.0813), AIC (-9.7277), and BIC (-8.2148) implied significantly fitted with the investigated data for the growth of Spirulina platensis compared with popular eight studied models.
摘要：
螺旋藻已被认为是全球对抗营养不良的有希望的食品补充剂来源。许多研究表明了它的免疫活性，在生长期吸收二氧化碳的能力，和抗氧化潜力。众所周知的理论生物量动力学模型棚能够对微藻的快速生长进行定性分析。在这方面,我们考虑了八种流行的生物质模型：Monod，霍尔丹,Andrews&Noack,Teissier,Hinshelwood,Yano&Koga,韦伯和,Aiba模型包括数值模拟中的分析研究。此外,在这项研究中，我们通过合并著名的Hinshelwood和Yano&Koga模型建立了一个新的生物量生长数学模型。我们探索了最合适的螺旋藻生长模型，以最大程度地减少八种生物量动力学模型中高估和低估的生长趋势。我们的研究结果表明，微藻的生物量生长和底物随着时间的推移而减少，并将这些结果与可用的实验数据进行了比较。结果呈现较高的R2值(0.9862)，RSS的低值(0.0813)，AIC（-9.7277），与流行的八种研究模型相比，BIC（-8.2148）暗示与所研究的螺旋藻生长数据显着拟合。
