Multi-objective optimization of media components for improved algae biomass, fatty acid and starch biosynthesis from Scenedesmus sp. ASK22 using desirability function approach

Ashutosh Pandey, Aarti Gupta, Arrabachala Sunny, Sanjay Kumar and Sameer Srivastava

Renewable Energy, 2020, vol. 150, issue C, 476-486

Abstract: In this study, we sought to improve medium composition for enhanced biomass, lipid and starch content by using response surface methodology and composite desirability function approach for the heterotrophic cultivation of Scenedesmus sp. ASK22. Maximum biomass yield observed was 5.02 ± 0.1 g L-1 and 4.67 ± 0.12 g L-1 for individual and multi-response respectively. Lipid and starch accumulation for individual response and multi-response were found to be 30.72 ± 0.23 (% wt.) and 37.10 ± 2.71 (% wt.) and 29.46 ± 0.17 (% wt.) and 31.06 ± 0.17 (% wt.) respectively. The Lipid and starch productivity in BG11 medium increased to 13.38 and 28.59-fold for individual optimized conditions and 18.20 and 31.97-fold for multi-response optimized conditions respectively. These results propose Scenedesmus sp. ASK22 strain to be a potential candidate for bio-fuel production.

Keywords: Scenedesmus sp. ASK22; Lipid; Starch; Optimization; Central composite design; Desirability function approach (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148119319676
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:150:y:2020:i:c:p:476-486

DOI: 10.1016/j.renene.2019.12.095

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().