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Parametric study on CO 2 sequestration using cyanobacterial consortium and production of macromolecules: experimentation, modelling and optimization
Author(s) -
Upendar Ganta,
Singh Sunita,
Chakrabarty Jitamanyu,
Ghanta Kartik Chandra,
Shahnawaz Md.,
Lahiri Sandip Kumar,
Dutta Susmita
Publication year - 2021
Publication title -
water and environment journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 37
eISSN - 1747-6593
pISSN - 1747-6585
DOI - 10.1111/wej.12646
Subject(s) - carbon sequestration , biomass (ecology) , environmental science , pulp and paper industry , chemistry , biochemical engineering , engineering , ecology , carbon dioxide , biology , organic chemistry
Sequestration of CO 2 using microalgae is one of the imperative, cost effective and environment‐friendly processes for carbon sequestration and for production of biomass. In the present study, a cyanobacterial consortium was used for the sequestration of CO 2 at diverse initial CO 2 concentrations (5–30%), pH of the medium (7–11) and inoculum sizes (5–12.5%). The cyanobacterial consortium showed sustainability in growth upto 30% CO 2 . The overall CO 2 fixation capacity was found as 0.0692 and 0.071 mol CO 2 /g algae at 15% CO 2 , pH 9 and at 10% and 12.5% inoculum, respectively, after 14 days. Characterization of dry biomass before and after CO 2 sequestration was done using Fourier Transform Infrared spectroscopy. Various algorithm of artificial neural network (ANN) model and a number of activation functions were tried to arrive at best ANN model for such process. Finally, Particle swarm optimization was used for optimization of input variables for maximum sequestration of CO 2 .