Paper Title :Optimization of Extraction Conditions for Determination of Androstadienedione and its Major Impurities from Fermentation Broth by Statistical Techniques
Author :Vandana Gupte, Mitali Lade, Neetin Desai, Umesh Luthra
Article Citation :Vandana Gupte ,Mitali Lade ,Neetin Desai ,Umesh Luthra ,
(2017 ) " Optimization of Extraction Conditions for Determination of Androstadienedione and its Major Impurities from Fermentation Broth by Statistical Techniques " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 53-57,
Volume-5, Issue-2, Spl. Iss-1
Abstract : Recent pharmaceutical regulatory guidelines have stressed upon the importance of applying quality by design
(QbD) principles to ensure that process leads to build in quality in the product. This research paper outlines the application
of QbD principles for optimization of extraction conditions to estimate maximum activity of androstadienedione (ADD)
from fermentation broth. The study is multi response study in which along with ADD activity, its two main impurities viz.;
androstenedione and C22 alcohol were estimated to maximum extent which were generated during the fermentation process.
Response surface methodology was employed to assess interactive and individual effects of three main independent
variables on extraction efficiency of ADD and its major impurities. The independent variables studied were pH, temperature
and sonication time used for preparation of samples. The predicted values of ADD activity, and its major impurities content
were in agreement with experimental responses obtained when central composite design was utilized during optimization of
extraction process. Optimization results displayed that maximum extraction efficiency of ADD and % of its two major
impurities from fermentation broth was achieved at optimum conditions: sonication time 10 min, the pH of sample solution
7.0 and temperature of extraction 300 C, using acetone as the extraction solvent. The activity of ADD and % of both
impurities were estimated by HPLC.
Type : Research paper
Published : Volume-5, Issue-2, Spl. Iss-1
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-8273
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Published on 2017-07-25 |
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