9783659936951 - Production and Optimization of Anti-fungal Protein Using Taguchi DOE: Optimization under Submerged Fermentation of Aspergillus giganteus MTCC 8408 using Taguchi DOE... (6 resultados)

Paperback. Condición: Brand New. 132 pages. 8.66x5.91x0.30 inches. In Stock.

Taschenbuch. Condición: Neu. Production and Optimization of Anti-fungal Protein Using Taguchi DOE | Optimization under Submerged Fermentation of Aspergillus giganteus MTCC 8408 using Taguchi DOE Orthogonal Array | Debashis Dutta (u. a.) | Taschenbuch | 132 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659936951 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This paper presents results of the knowledge-driven submerged fermentation of A. giganteus MTCC: 8408.To the best of our knowledge, there is not enough information concerning optimum nutritional requirements for antifungal protein production by Aspergillus giganteus MTCC 8408 under submerged fermentation.Using the one factor at a time (OFAT) and Taguchi DOE orthogonal array methods with qualitative investigation,helped in unfolding bioprocess optimization and in logically analyzing the interactive effects of most influential factors at their individually assigned level to achieve higher production by Aspergillus giganteus MTCC 8408 under submerged fermentation.The present study revealed that statistical optimization may promote economical design at the industrial level for future scale up and for better revelation of the bioprocess strategies and improving the microbial metabolite productivity.The scientific responsibility rests with its authors. 132 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dutta DebashisDebashis Dutta, B.Sc (Chemistry Honors), B.Tech (Food Technology) and M.Tech (Biochemical Engineering), studied at Indian Institute of Technology BHU, Varanasi, India, have aimed to develop a level in biochemical resear.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This paper presents results of the knowledge-driven submerged fermentation of A. giganteus MTCC: 8408.To the best of our knowledge, there is not enough information concerning optimum nutritional requirements for antifungal protein production by Aspergillus giganteus MTCC 8408 under submerged fermentation.Using the one factor at a time (OFAT) and Taguchi DOE orthogonal array methods with qualitative investigation,helped in unfolding bioprocess optimization and in logically analyzing the interactive effects of most influential factors at their individually assigned level to achieve higher production by Aspergillus giganteus MTCC 8408 under submerged fermentation.The present study revealed that statistical optimization may promote economical design at the industrial level for future scale up and for better revelation of the bioprocess strategies and improving the microbial metabolite productivity.The scientific responsibility rests with its authors.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This paper presents results of the knowledge-driven submerged fermentation of A. giganteus MTCC: 8408.To the best of our knowledge, there is not enough information concerning optimum nutritional requirements for antifungal protein production by Aspergillus giganteus MTCC 8408 under submerged fermentation.Using the one factor at a time (OFAT) and Taguchi DOE orthogonal array methods with qualitative investigation,helped in unfolding bioprocess optimization and in logically analyzing the interactive effects of most influential factors at their individually assigned level to achieve higher production by Aspergillus giganteus MTCC 8408 under submerged fermentation.The present study revealed that statistical optimization may promote economical design at the industrial level for future scale up and for better revelation of the bioprocess strategies and improving the microbial metabolite productivity.The scientific responsibility rests with its authors.