Optimization of Culture Conditions for Total Carotenoid Amount Using Response Surface Methodology in Green Microalgae / Ankistrodesmus convolutus

Year 2022, , 29 - 37, 01.01.2022

Neslihan Şener Zeliha Demirel , Esra İmamoğlu , Meltem Dalay

https://doi.org/10.26650/ASE2020785091

Abstract

Commercial carotenoids of green microalgae have become significant especially for their applica-tions in the cosmetic, pharmaceutical, food and feed industries. Effects of physical and chemical parameters on carotenoid contents in isolated microalgal species have been investigated. The variables of shaking rate, nitrogen concentration and light intensity affect biomass production and the synthesis of carotenoids in the green microalgae were investigated using the statistical design by Box-Behnken (BBD) employing Response Surface Methodology (RSM). Furthermore, the opti-mized cultivation conditions using BBD for Chlorella vulgaris, Ankistrodesmus convolutus, Dunaliel-la salina, Tetraselmis striata were determined using the spectrophotometric method to enhance carotenoid concentration. A. convolutus within the green algae was detected with the highest ca-rotenoid concentration. The optimum conditions results indicated that the growth of A. convolutus(0.55 mg/L) and production of total carotenoids (25.1138 mg/g biomass) were found at the stirrer rate of 100 rpm under the light intensity of 100 μE/m2s, and in the nutrient component of 8.82 mM NaNO3. These conditions were validated experimentally for total carotenoid yield (24.13 mg/g biomass). After that the production was performed in a flat-plate photobioreactor with a volume of 6L based on the optimized conditions and the carotenoid profile was defined by HPLC-DAD using standards such as violaxanthin, astaxanthin and β-carotene. This study proposes that the RSM ap-proach can be used to define optimal conditions for large-scale production of carotenoids by A. convolutus.

Keywords

Chlorella vulgaris, Ankistrodesmus convolutus, Dunaliella salina, Tetraselmis striata, Carotenoid, Optimization, Photobioreactor

Supporting Institution

Scientific and Technological Research Council of Turkey-TUBITAK and Ege University Scientific Research Projects-EGE BAP

Project Number

TUBITAK (116Y023) and EGE BAP (17BIL008)

Thanks

The authors would like to thank Assistant Professor Tuğba Keskin Gündoğdu for her helping in statistic software.

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