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

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

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)

Original languageEnglish
Article numbere08185
JournalHeliyon
Volume7
Issue number10
DOIs
Publication statusPublished - Oct 2021

All Science Journal Classification (ASJC) codes

  • General

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