Preliminary dataset for enhancing biomass productivity using chemical modulators in Synechococcus elongatus PCC 7942

Published: 24 March 2025| Version 2 | DOI: 10.17632/h5cp7s67h2.2
Contributor:
Tonmoy Ghosh

Description

This dataset contains preliminary investigations on using chemical modulators for enhancing biomass productivity of Synechococcus elongatus PCC 7942. The analysis showed that some of the modulators could be effective biomass triggers and can act at very low concentrations (20 - 1000 nM). Moreover, a basic economic feasibility also indicated some potential modulators that could be carried forward. The dataset could potentially be useful for targeted algal farming, especially for biomass.

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Institutions

Indian Institute of Technology Indore, Central Salt and Marine Chemicals Research Institute CSIR

Categories

Algae Coproduct Development, Cyanobacteria, Algal Cultivation, Microalgae

Funding

Science and Engineering Research Board

PDF/2021/000144

National Research Foundation

NRF-SARChI grant no. 84166

Durban University of Technology

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