Multi-fold enhancement in sustainable production of biomass, lipids and biodiesel from oleaginous yeast: an artificial neural network-genetic algorithm approach-Reference-Cited by-同舟云学术

Multi-fold enhancement in sustainable production of biomass, lipids and biodiesel from oleaginous yeast: an artificial neural network-genetic algorithm approach

Published:2020 Issue:12 Volume:4 Page:6075-6084
ISSN:2398-4902
Container-title:Sustainable Energy & Fuels
language:en
Short-container-title:Sustainable Energy Fuels

Author:

Kumar RaviRanjan¹²³,Dhanarajan Gunaseelan¹²³,Sarkar Debasis⁴²³,Sen Ramkrishna¹²³^ORCID

Affiliation:

1. Department of Biotechnology

2. Indian Institute of Technology Kharagpur

3. India

4. Department of Chemical Engineering

Abstract

Implementation of an artificial neural network-genetic algorithm technique for improvement in sustainable production of biomass, lipids and biodiesel from oleaginous yeast.

Funder

Department of Biotechnology, Ministry of Science and Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Link

http://pubs.rsc.org/en/content/articlepdf/2020/SE/D0SE00922A

Reference39 articles.

1. Artificial intelligence driven process optimization for cleaner production of biomass with co-valorization of wastewater and flue gas in an algal biorefinery

2. Performance enhancement of hydrothermal liquefaction for strategic and sustainable valorization of de-oiled yeast biomass into green bio-crude

3. An advanced hybrid medium optimization strategy for the enhanced productivity of lutein in Chlorella minutissima