Kinetic modeling and process analysis for photo-production of β-carotene in Dunaliella salina

Abstract

Dunaliella salina is a green microalga with the great potential to generate natural β-carotene. However, the corresponding mathematical models to guide optimized production of β-carotene in Dunaliella salina (D. salina) are not yet available. In this study, dynamic models were proposed to simulate effects of environmental factors on cell growth and β-carotene production in D. salina using online monitoring system. Moreover, the identification model of the parameter variables was established, and an adaptive particle swarm optimization algorithm based on parameter sensitivity analysis was constructed to solve the premature problem of particle swarm algorithm. The proposed kinetic model is characterized by high accuracy and predictability through experimental verification, which indicates its competence for future process design, control, and optimization. Based on the model established in this study, the optimal environmental factors for both β-carotene production and microalgae growth were identified. The approaches created are potentially useful for microalga Dunaliella salina cultivation and high-value β-carotene production.

Keywords

Dunaliella salina / Dynamic kinetic modeling / Cultivation optimization / Environmental factors / β-Carotene production

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Funding

National Natural Science Foundation of China(31900221)

Natural Science Foundation of Liaoning Province(2020-MS-102)

Fundamental Research Funds for Central Universities of the Central South University(DUT21LK14)

Major and Special Program on Science and Technology Projects in Dalian City(2020ZD23SN009)