Parametric study on CO 2 sequestration using cyanobacterial consortium and production of macromolecules: experimentation, modelling and optimization-Reference-Cited by-同舟云学术

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Parametric study on CO 2 sequestration using cyanobacterial consortium and production of macromolecules: experimentation, modelling and optimization

Published:2020-10-22 Issue:2 Volume:35 Page:500-513
ISSN:1747-6585
Container-title:Water and Environment Journal
language:en
Short-container-title:Water Environ. J.

Author:

Upendar Ganta¹,Singh Sunita²,Chakrabarty Jitamanyu²,Ghanta Kartik Chandra¹,Shahnawaz Md.³,Lahiri Sandip Kumar¹,Dutta Susmita¹^ORCID

Affiliation:

1. Department of Chemical Engineering National Institute of Technology Durgapur Durgapur India

2. Department of Chemistry National Institute of Technology Durgapur Durgapur India

3. Department of Earth & Environmental Studies National Institute of Technology Durgapur Durgapur India

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/wej.12646

Reference43 articles.

1. Carbonic anhydrase and CO2concentrating mechanisms in microalgae and cyanobacteria

2. Biosorption of Cr(VI) by immobilized biomass of two indigenous strains of cyanobacteria isolated from metal contaminated soil

3. Optimization of CO2 bio-mitigation by Chlorella vulgaris

4. pH effects on growth and lipid accumulation of the biofuel microalgae Nannochloropsis salina and invading organisms;Bartley M.L.;Journal of Applied Phycology,2013

5. Overview of the potential of microalgae for CO2 sequestration

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1. Phycoremediation of secondary treated synthetic refinery wastewater using Scenedesmus valocatus sp. NITD 23: Experiment and analysis;Journal of Water Process Engineering;2024-02

2. Cyanobacteria as a potential bioasset for restoring degraded land;Land Degradation & Development;2023-05-11

3. Application of hybrid artificial neural network (ANN)–particle swarm optimization (PSO) for modelling and optimization of the adsorptive removal of cyanide and phenol from wastewater using agro-waste-derived adsorbent;Applied Water Science;2022-06-22

4. Functionalized chitosan-magnetic flocculants for heavy metal and dye removal modeled by an artificial neural network;Separation and Purification Technology;2022-02

5. Editorial;Water and Environment Journal;2021-02

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