full issue - Association of Biotechnology and Pharmacy

Current Trends in Biotechnology and Pharmacy
Vol. 5 (3) 1325 -1337 July 2011, ISSN 0973-8916 (Print), 2230-7303 (Online)
1333
Optimization of concentrations of the selected
medium components by RSM: The combined
effect of four independent variables identified
by Taguchi L 16
-orthogonal array design (A:
Na 2
S 2
O 3
(g/l); B: yeast extract (g/l); C: KH 2
PO 4
(g/l); D: L-glutamic acid (g/l)) for production of
cephamycin C was examined using RSM. The
CCRD gave quadratic model for the given set of
experimental results. Eq. (1) represents the
mathematical model relating the production of
cephamycin C with the independent process
variables, A to D and the second order
polynomial coefficient for each term of the
equation determined through multiple regression
analysis using the Design Expert 6.0.10. The
experimental and predicted values of yields of
cephamycin C are given in Table 2.
The results were analyzed by using
ANOVA i.e. analysis of variance suitable for the
experimental design used. The ANOVA of the
quadratic model indicates that the model is
significant. The Model F-value of 37.48 implies
the model to be significant and is calculated as
ratio of mean square regression and mean square
residual. Model P-value (Prob > F) is very low
(