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Statistical optimization of substrate, carbon and nitrogen
source by
response surface methodology
for pectinase production using
Aspergillus fumigatus
MTCC 870 in submerged fermentation
M. Palaniyappan1*, V. Vijayagopal3,
Renuka Viswanathan1 and T. Viruthagiri2
1Department
of Chemical Engineering and Biotechnology, St. Joseph’s
College of Engineering, Chennai - 600 119, Tamil Nadu,
India.
2Department
of Chemical Engineering, Annamalai University,
Annamalai Nagar -
608 002. Tamil Nadu, India.
3Department
of Chemical Engineering, Eritrea Institute of Technology,
Eritrea,
North-East Africa.
*Corresponding author. E-mail:
tmpalaniyappan@gmail.com. Tel: +91 9443678571. Fax: +91
4424500861.
Accepted
6 March, 2009 |
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Optimization procedure using response surface methodology (RSM)
based on face centered central composite design (FCCCD) with
three factors (concentrations of wheat flour, glucose and
ammonium nitrate) was used in order to investigate the
effect of these parameters on the production of pectinase
from Aspergillus fumigatus MTCC 870. According to the
results of RSM, concentrations of wheat flour, glucose and
ammonium nitrate were significant (p<0.05) on enzyme
production. As a result of this optimization, maximum
pectinase activity (15.46 IU/mL) was achievable at wheat
flour (0.25 g/100 mL), glucose concentration (0.25 g/100 mL)
and ammonium nitrate concentration (0.25 g/100 mL).
Key
words:
Optimisation, enzyme activity, submerged culture, modelling,
FCCCD, pectinase. |