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Title: Production of enzymes and degradation of feathers by soil microbes
Researcher: Agrahari, Sarita
Guide(s): Wadhwa, Neeraj
Keywords: Biotechnology, Proteinaceous Waste, Feather Waste, Poultry Feathers, Enzymes, Milk Clotting Activity
Upload Date: 7-Sep-2011
University: Jaypee Institute of Information Technology
Completed Date: March 2011
Abstract: B. megaterium SN1, B. thuringenesis SN2, B. pumilis SN3 isolated from soil of Ghazipur poultry waste site, a feather dumping site. They produced extracellularly keratinolytic and caesinolytic enzyme in feather meal media 2. All bacterial isolates showed antibacterial activity, presence of caesinolytic and Milk clotting activity in crude and ammonium sulphate fractions. Highest ratio (520.84) of milk clotting activity to caesinolytic activity was seen of these strains. B. megaterium SN1 and B. thuringenesis SN2 produced extracellular caesinolytic and keratinolytic enzyme showing optimum pH 3-5 at 30°C, 160 rpm after 72 hrs and 96hrs which remained active at 60°C - 70°C respectively. Enzyme from B. megaterium SN1 was purified by ammonium sulphate precipitation, 25 Q sephrose chromatography. Casein zymography studies showed that enzyme is 30 kDa. Mn2+ strongly activated caesinolytic and keratinolytic enzyme activity whereas Hg2+ inhibited caesinolytic and keratinolytic enzyme activity. Enzyme from B. thuringenesis SN2 was purified by ammonium sulphate precipitation. Casein zymography studies showed that enzyme has subunits of 120 kDa, 80 kDa, 60 kDa and 40 kDa. Mn2+ and Ba2+ strongly activated caesinolytic and keratinolytic enzyme activity by 3.7, 1.9 fold whereas Ba2+ and Fe2+ inhibited caesinolytic and keratinolytic enzyme activity. RSM and the Resilient back propagation, neural network was used to predict the best combination of the crucial media components for production of these enzymes. We report that there is 2.5 fold increase over the previous setups using the following predicted combination NaCl, 0.2%; Yeast extract, 1%; Feather, 15%. Trained network is a better option to predict new data points.
Pagination: xx, 222p.
Appears in Departments:Department of Biotechnology

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01_title.pdfAttached File46.66 kBAdobe PDFView/Open
02_table of contents.pdf72.39 kBAdobe PDFView/Open
03_declaration.pdf57.48 kBAdobe PDFView/Open
04_certificate.pdf57.59 kBAdobe PDFView/Open
05_acknowledgements.pdf60.07 kBAdobe PDFView/Open
06_abstract.pdf59.21 kBAdobe PDFView/Open
07_abbreviations.pdf57.35 kBAdobe PDFView/Open
08_list of symbols.pdf66.12 kBAdobe PDFView/Open
09_list of figures.pdf84.51 kBAdobe PDFView/Open
10_list of tables.pdf68.47 kBAdobe PDFView/Open
11_chapter 1.pdf21.67 kBAdobe PDFView/Open
12_chapter 2.pdf1.55 MBAdobe PDFView/Open
13_chapter 3.pdf152.29 kBAdobe PDFView/Open
14_chapter 4.pdf598.22 kBAdobe PDFView/Open
15_chapter 5.pdf14.41 kBAdobe PDFView/Open
16_references.pdf170.84 kBAdobe PDFView/Open
17_appendix.pdf2.39 MBAdobe PDFView/Open

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