Kinetic models for batch ethanol production from sweet sorghum juice under normal and high gravity fermentations: Logistic and modified Gompertz models

N Phukoetphim, A Salakkam, P Laopaiboon… - Journal of …, 2017 - Elsevier
The aim of this study was to model batch ethanol production from sweet sorghum juice
(SSJ), under normal gravity (NG, 160 g/L of total sugar) and high gravity (HG, 240 g/L of total …

[HTML][HTML] Bioethanol production from sugarcane leaf waste: Effect of various optimized pretreatments and fermentation conditions on process kinetics

P Moodley, EBG Kana - Biotechnology reports, 2019 - Elsevier
This study examines the kinetics of S. cerevisiae BY4743 growth and bioethanol production
from sugarcane leaf waste (SLW), utilizing two different optimized pretreatment regimes; …

Effect of nickel oxide nanoparticles on bioethanol production: process optimization, kinetic and metabolic studies

IA Sanusi, TN Suinyuy, A Lateef, GEB Kana - Process Biochemistry, 2020 - Elsevier
The present study optimized ethanol yield using nickel oxide (NiO) nanoparticles (NPs) as a
biocatalyst. Additionally, Saccharomyces cerevisiae BY4743 cell growth and the bioethanol …

Study of growth kinetic and modeling of ethanol production by Saccharomyces cerevisae

F Ahmad, AT Jameel, MH Kamarudin, M Mel - African Journal of …, 2011 - ajol.info
There is a growing interest in bioethanol as biofuel since it has the possibility to be the
potential substitute for fossil fuels. Ethanol batch fermentation of Saccharomyces cerevisiae …

Kinetics of Bioethanol Production from Waste Sorghum Leaves Using Saccharomyces cerevisiae BY4743

DCS Rorke, EB Gueguim Kana - Fermentation, 2017 - mdpi.com
Kinetic models for bioethanol production from waste sorghum leaves by Saccharomyces
cerevisiae BY4743 are presented. Fermentation processes were carried out at varied initial …

Modeling and optimization of ethanol fermentation using Saccharomyces cerevisiae: response surface methodology and artificial neural network

M Esfahanian, M Nikzad, G Najafpour… - Chemical Industry and …, 2013 - doiserbia.nb.rs
In this study, the capabilities of response surface methodology (RSM) and artificial neural
networks (ANN) for modeling and optimization of ethanol production from glucoseusing …

Modelling of molasses fermentation for bioethanol production: A comparative investigation of Monod and Andrews models accuracy assessment

H Zentou, Z Zainal Abidin, R Yunus, DR Awang Biak… - Biomolecules, 2019 - mdpi.com
Modelling has recently become a key tool to promote the bioethanol industry and to optimise
the fermentation process to be easily integrated into the industrial sector. In this context, this …

Saccharification of alkali treated biomass of Kans grass contributes higher sugar in contrast to acid treated biomass

R Kataria, R Ruhal, R Babu, S Ghosh - Chemical engineering journal, 2013 - Elsevier
Economical production of biofuel is prerequisite to depletion of fossil fuel. In recent years,
biomass of numerous food crops was used as a feedstock for bioethanol production …

Production of ethanol and arabitol by Debaryomyces nepalensis: influence of process parameters

H Kumdam, S Narayana Murthy, SN Gummadi - AMB Express, 2013 - Springer
Debaryomyces nepalensis, osmotolerant yeast isolated from rotten apple, is known to utilize
both hexoses and pentoses and produce industrially important metabolites like ethanol …

Isolation of fermentative microbial isolates from sugar cane and beet molasses and evaluation for enhanced production of bioethanol

HI Hamouda, HN Nassar, HR Madian… - Energy Sources, Part …, 2016 - Taylor & Francis
In an attempt to produce bioethanol as a renewable and natural energy resource and as a
promising alternative/complement to conventional petrol (ie, gasoline), 44 microbial isolates …