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

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.

Institutions

• Indian Institute of Technology Indore

  Madhya Pradesh, Indore
• Central Salt and Marine Chemicals Research Institute CSIR

  Gujarat, Bhavnagar

Categories

Funders

• Science and Engineering Research Board

  Delhi, India

  Grant ID: PDF/2021/000144
• National Research Foundation

  SG.01, Singapore

  Grant ID: NRF-SARChI grant no. 84166
• Durban University of Technology

  KwaZulu-Natal, South Africa

Licence