Study on Spirulina platensis growth employing non-linear analysis of biomass kinetic models

Mir Shariful Islam; K M Ariful Kabir; Jun Tanimoto; Bidyut Baran Saha

doi:10.1016/j.heliyon.2021.e08185

Study on Spirulina platensis growth employing non-linear analysis of biomass kinetic models

Heliyon. 2021 Oct 16;7(10):e08185. doi: 10.1016/j.heliyon.2021.e08185. eCollection 2021 Oct.

Authors

Mir Shariful Islam^{1

2

3}, K M Ariful Kabir^{4

5}, Jun Tanimoto⁴, Bidyut Baran Saha^{1

2}

Affiliations

¹ Mechanical Engineering Department, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
² International Institute for Carbon-Neutral Energy Research (WPI-I2CNER), Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan.
³ Department of Oceanography, University of Dhaka, Dhaka, 1000, Bangladesh.
⁴ Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, 6-1 Kasuga-Koen Kasuga, Fukuoka, 816-8580, Japan.
⁵ Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

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.

Keywords: Kinetic model; Non-linear analysis; Spirulina platensis; Substrate.