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MARC Record
Bibliographic Data
Control Number
309787
Date and Time of Latest Transaction
20150706094104.AM
General Information
150706s |||||||||b ||00|||
Cataloging Source
STII-DOST
Local Call Number
ScienceDirect
Main Entry - Personal Name
Tyagi, R.D.
Surampalli, R.Y.
Brar, S.K.
Pham, T.T.H
Title Statement
Optimization of Fenton oxidation pre-treatment for B. thuringiensis - Based production of value added products from waste water sludge by T.T.H. Pham and 3 others
Physical Description
pages 1657-1664 computer file; text; 863kb
Summary, Etc.
Fenton oxidation pretreatment was investigated for enhancement of biodegradability of waste water sludge (WWS) which was subsequently used as substrate for the production of value- added products. The Response surface method with fractional factorial and central composite designs was applied to determine the effects of Fenton parameters on solubilization and biodegradability of sludge and the optimization of the Fenton process. Maximum solubilization and biodegradability were obtained as 70% and 74%, respectively at the optimal conditions: 0.01 ml H(2)O(2)/g SS, 150 [H(2)O(2)](0)/[Fe(2+)](0), 25 g/L TS, at 25 degrees C and 60 min duration. Further, these optimal conditions were tested for the production of a value added product, Bacillus thuringiensis (Bt) which is being used as a biopesticide in the agriculture and forestry sector. It was observed that Bt growth using Fenton oxidized sludge as a substrate was improved with a maximum total cell count of 1.63 x 10(9)CFU ml(-1) and 96% sporulation after 48 h of fermentation. The results were also tested against ultrasonication treatment and the total cell count was found to be 4.08 x 10(8)CFU ml(-1) with a sporulation of 90%. Hence, classic Fenton oxidation was demonstrated to be a rather more promising chemical pre-treatment for Bt - based biopesticide production using WWS when compared to ultrasonication as a physical pre-treatment
Subject Added Entry - Topical Term
Ecology
Bacillus thuringiensis
Biodegradation, Environmental
Regression Analysis
Location
DOST STII ScienceDirect NONPRINTS NP 13-14769 1 13-14769 Online/Download 2010-12-01
Physical Location
Department of Science and Technology
Science and Technology Information Institute
ScienceDirect
Digital Copy
Not Available
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