Augmentation of ethanol production through statistically designed
growth and fermentation medium using novel thermotolerant yeast
isolates
Richa Arora
a, b, 2
, Shuvashish Behera
a, 2
, Nilesh Kumar Sharma
a, b
, Sachin Kumar
a, *, 1
a
Biochemical Conversion Division, Sardar Swaran Singh National Institute of Bio-Energy, Kapurthala,144601, India
b
I.K Gujral Punjab Technical University, Kapurthala,144601, India
article info
Article history:
Received 3 June 2016
Received in revised form
14 March 2017
Accepted 18 March 2017
Available online 21 March 2017
Keywords:
Thermotolerant yeast
Kluyveromyces marxianus
Ethanologen
Optimization
Face-centered central composite design
abstract
Overproduction of metabolites, high product yield and process economics are greatly influenced by the
media composition used for growth and fermentation. The main purpose of this study is to enhance the
ethanol production through statistical tool of response surface methodology (RSM) by optimizing media
components for the growth and fermentation of thermotolerant isolates Kluyveromyces marxianus NIRE-
K1 and NIRE-K3. Five different salts were used in the Face-centered Central Composite Design (FCCD),
with the responses of biomass formation and ethanol production for growth and fermentation,
respectively. Yeast extract and K
2
HPO
4
were found to be the key media components for the growth and
fermentation which is revealed from their interaction in both the yeast isolates. Further studies on batch
fermentation kinetics using the optimized values of the medium composition for K. marxianus NIRE-K1
and NIRE-K3 resulted in final ethanol concentration of 17.73 (86.27% of theoretical ethanol yield) and
19.01 g l
1
(94.12% of theoretical ethanol yield), respectively. An increase in the ethanol yield and pro-
ductivity by 11.36,10.42% and 2.0, 2.7% was revealed in NIRE-K1 and NIRE-K3, respectively, as compared
to our previous study.
© 2017 Elsevier Ltd. All rights reserved.
1. Introduction
The drastic increase in the energy crisis, green house gas emis-
sions and exhaustion of fossil fuel reserves have led to the develop-
ment of renewable energy technologies [1e3]. However, one of the
major challenges in the fuel production from renewable resources
lies in the development of improved strains with efficient ethanol
production [4,5]. Current research primarily focuses on the utiliza-
tion of thermotolerant yeasts for efficient bioconversion of biomass
to ethanol [6e9]. Thermotolerant ethanologenic fermentations are
reported to be superior rather than the conventional mesophilic ones
with higher bioconversion rates, continuous product recovery,
economically viable processes due to lesser requirement of cooling
and reduced risk of contamination [4,10e12].
Apart from the use of thermotolerant ethanologens, the
commercialization of a bioprocess and its economics depends upon
the cost for the cultivation of the culture and its subsequent ethanol
yield. The biochemical and nutritional requirements of the bio-
processing strains is highly influenced by carbon, nitrogen sources
along with supplements like amino acids, vitamins, antibiotics, etc.,
which further aids in the cost [13]. Also, mineral salts are generally
used in ethanol producing industries to supplement the fermen-
tation media and provide acceptable yields [14]. Moreover, various
medium components have strong interactions which may affect the
competence of the process, both positively and negatively [15].
Thus, there is a need to develop a medium formulation for conve-
nient, cost-effective and efficient bioprocess technology for bio-
ethanol production.
There are two methods for evaluating the optimal level,
empirical method and statistical method. The former has several
limitations because it involves substantial amount of time and la-
bour taking OFAT (one-factor-at-a-time) approach into account.
Moreover, it does not account for the interaction among the vari-
ables which strongly influences the bioprocess [16]. On the other
hand, the latter involves the statistical tools like response surface
* Corresponding author. Biochemical Conversion Division, Sardar Swaran Singh
National Institute of Bio-Energy, Jalandhar-Kapurthala Road, Wadala Kalan,
Kapurthala, 144601, Punjab, India.
E-mail address: sachin.biotech@gmail.com (S. Kumar).
1
Present Address: Department of Chemical & Biological Engineering, South
Dakota School of Mines and Technology, Rapid City, SD, 57701, USA.
2
Equal contribution.
Contents lists available at ScienceDirect
Renewable Energy
journal homepage: www.elsevier.com/locate/renene
http://dx.doi.org/10.1016/j.renene.2017.03.059
0960-1481/© 2017 Elsevier Ltd. All rights reserved.
Renewable Energy 109 (2017) 406e421