Optimization of Auxenochlorella protothecoides lipid content using response surface methodology for biofuel production

Ece Polat*, Mahmut Altınbaş

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


This study aimed to optimize the growth conditions of the microalgae Auxenochlorella protothecoides to maximize the biomass and lipid content. The pH values and acetate concentrations of a tris-acetate-phosphate medium were varied for a photoheterotrophically grown culture of A. protothecoides. Approximately 23% of the microalgal biomass consisted of saturated fatty acids (SFAs). The highest lipid content (47.8%) was achieved with a medium containing 17 mM acetate at pH 6.2, and a medium containing 50 mM acetate at pH 5.8 resulted in the highest SFA content (43.7%). Surface response methodology was used to analyze the effects of two independent variables, pH (5.8–7.2) and acetate (0–35 mM), on lipid and biomass content. Four quadratic models, using the Box-Wilson central composite design, were proposed to correlate the optimal pH and acetate concentrations that would achieve the maximum biomass and lipid content. The study demonstrated that medium containing 24.4 mM acetate at pH 5.96 resulted in the highest lipid content (47.8%), and resulted in the highest biomass (1537 mg/L). Microalgae growth under these optimized conditions can enhance biomass and lipid productivity and can provide suitable conditions for high-quality biodiesel.

Original languageEnglish
Pages (from-to)2133-2147
Number of pages15
JournalBiomass Conversion and Biorefinery
Issue number6
Publication statusPublished - Jun 2022

Bibliographical note

Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.


This work was supported by the Research Fund of the Istanbul Technical University (Project Number: 40564).

FundersFunder number
Istanbul Teknik Üniversitesi40564


    • Acetate
    • Fatty acid methyl esters (FAME)
    • Microalgae
    • pH
    • Surface response methodology


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