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dc.contributor.advisorShakti Chandra Mondal
dc.contributor.authorKAMAL, MD. MOSTAFA
dc.date.accessioned2022-05-14T06:48:09Z
dc.date.available2022-05-14T06:48:09Z
dc.date.issued2017-06
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1356
dc.descriptionA THESIS BY MD. MOSTAFA KAMAL Registration No. 1605213 Semester: January-June/2017 Session: 2016-2017 Submitted to the Department of Food Processing and Preservation, Hajee Mohammad Danesh Science and Technology University, Dinajpur In partial fulfillment of the requirements for the degree of Master of Science (MS) in Food Processing and Preservation DEPARTMENT OF FOOD PROCESSING AND PRESERVATION HAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR-5200en_US
dc.description.abstractResponse surface methodology (RSM)-based central composite rotatable design (CCRD) on four variables viz. temperature (20-40oC), pH (4-8), substrate concentration (5-25 %), and fermentation period (1-5 days) were employed for optimizing the production of biomass and protein from Aspergillus niger using banana fruit peel. The experimental results were significantly (P<0.05) fitted into second-order polynomial models to describe and predict the response quality in terms of the biomass and protein with R2 of 0.9669 and 0.9521, respectively. The linear, quadratic and interactions effects of the four variables on the yield of biomass and protein were investigated. It was found that the effects of process variables on production of biomass and protein were significant (P<0.05) and the strongest effect was given by the fermentation period. After numerical optimization, the predicted optimum conditions were obtained as temperature of 34.27oC, pH of 6.32, substrate concentration of 10% and fermentation period of 4 days which were verified through confirmatory experiments. Under these optimal conditions, the experimental values (biomass: 18.56 ± 0.16 g/L and protein: 59.06 ± 0.13 %) agreed well with the predicted values (biomass: 18.1105 g/L and protein: 58.7177 %) indicating the suitability of developed models within the acceptable range of the responses.en_US
dc.language.isoenen_US
dc.publisherHAJEE MOHAMMAD DANESH SCIENCE AND TECHNOLOGY UNIVERSITY, DINAJPUR.en_US
dc.subjectmicrobial biomassen_US
dc.subjectsingle cell proteinen_US
dc.titleResponse surface optimization of process parameters for the production of microbial biomass and single cell protein from Aspergillus niger using banana peel as substrateen_US
dc.typeThesisen_US


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