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Title: Development of optimal bioprocess strategy for the production of d lactic acid a study on industrial waste valorization
Researcher: Rengesh B
Guide(s): Shyam Kumar R
Keywords: Kodo Millet
Genetic Algorithm
Bioprocess strategy
University: Anna University
Completed Date: 2019
Abstract: The global demand for lactic acid LA derivatives requires feedstock that are economically viable and environmentally sustainable Consequently Kodo Millet Bran Residue KMBR was examined as a viable alternative feedstock For the production of enantiomeric excess D Lactic Acid DLA from KMBR the Acid Hydrolysis AH and Enzymatic Hydrolysis EH parameters were optimized The process variables of AH acid concentration substrate loading and holding time and EH substrate loading enzyme dosage, pH and temperature were optimized using Response Surface Methodology RSM and Artificial Neural Network converged with Genetic Algorithm ANN GA The optimal values determined using RSM newlineand ANN GA for AH were acid HCl concentration 0 7 and 0 4 mol L 1 substrate loading newline12 97 and 13 w v and incubation period 12 62 and 12 89 min respectively for newlineboth the models newline newline
Pagination: xxiv,175p.
Appears in Departments:Faculty of Technology

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11_chapter4.pdf.pdf9.61 MBAdobe PDFView/Open
12_conclusion.pdf.pdf19.36 kBAdobe PDFView/Open
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14_list_of_publications.pdf.pdf32.62 kBAdobe PDFView/Open
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