Zobrazeno 1 - 10
of 31
pro vyhledávání: '"R. Sreenivas Rao"'
Autor:
Belum V. S. Reddy, D. Nagaiah, Reddy Shetty Prakasham, Phil J. Hobbs, R. Sreenivas Rao, P. Brahmaiah, P. Srinivasa Rao
Publikováno v:
International Journal of Hydrogen Energy. 37:3186-3190
Three low lignin containing bmr 3 derivatives, namely DRT 07K1, DRT 07K6 and DRT 07K15 developed through backcrossing were used along with the parent, bmr 3 source mutant (IS 21888) for evaluation of biohydrogen production. Results demonstrated that
Autor:
P. Brahmaiah, T. Sathish, Phil J. Hobbs, Ch. Subba Rao, Reddy Shetty Prakasham, R. Sreenivas Rao
Publikováno v:
International Journal of Hydrogen Energy. 34:6143-6148
Biohydrogen from untreated mixed renewable agri-waste using buffalo dung compost is reported. Corn husk (CH) supported 25% higher hydrogen (H 2 ) production and showed the maximum value (62.38%) with p value (1.2 × 10 −6 ) revealing its significan
Publikováno v:
Applied Biochemistry and Biotechnology. 150:65-83
This study uses an overall evaluation criterion for improving the immobilized bead reusability and extracellular enzyme production by immobilized cells by assigning relative weightage to bead reusability, enzyme production, and cell leakage. Initiall
Autor:
Preeti Chaturvedi, R. Sreenivas Rao, N. Naveen Kumar, Sisinthy Shivaji, Partha K. Sarkar, Bhaskar Bhadra
Publikováno v:
FEMS Yeast Research. 7:579-584
The ascogenous yeast YS16T was isolated from a decaying papaya fruit. Phenotypic traits such as multilateral budding, spheroidal or elongate shape, pseudohyphae formation, asci with one or more ascospores, ability to ferment d-glucose, inability to a
Publikováno v:
Journal of Applied Microbiology. 102:204-211
Aims: Evaluation of the influence of fermentation components on extracellular acid amylase production by an isolated fungal strain Aspergillus awamori. Methods and Results: Eight fungal metabolic influential factors, viz. soluble starch, corn steep l
Publikováno v:
Bioresource Technology. 97:1974-1978
A natural isolate, Candida tropicalis was tested for xylitol production from corn fiber and sugarcane bagasse hydrolysates. Fermentation of corn fiber and sugarcane bagasse hydrolysate showed xylose uptake and xylitol production, though these were ve
Publikováno v:
Biochemical Engineering Journal. 24:17-26
Submerged culture conditions for laccase production by Pleurotus ostreatus 1804 were optimized by Taguchi orthogonal array (OA) experimental design (DOE) methodology. This approach facilitates the study of interaction of a large number of variables s
Publikováno v:
Applied Biochemistry and Biotechnology. 120:133-144
Optimization of alkaline protease production parameters by Bacillus sp. was investigated using Taguchi methodology. The pH of the medium was observed to be the most significant factor among all selected optimization parameters at an individual level.
Autor:
S Rajesham, R. Sreenivas Rao, L. Venkateswar Rao, K. Krishna Prasad, Reddy Shetty Prakasham, P.N. Sarma
Publikováno v:
Process Biochemistry. 39:951-956
Xylitol production parameter optimization using a newly isolated Candida sp. was performed using Test plan L18, available in the form of an orthogonal array and a software for automatic design and analysis of the experiments, both based on Taguchi ap
Autor:
T. Sathish, G. Suvarna Laxmi, Reddy Shetty Prakasham, M. Mahalaxmi, R. Sreenivas Rao, Ch. Subba Rao
Aim: Modelling and optimization of fermentation factors and evaluation for enhanced alkaline protease production by Bacillus circulans. Methods and Results: A hybrid system of feed-forward neural network (FFNN) and genetic algorithm (GA) was used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5ceadac8acfa21a9a880dcfd6587695
https://repository.rothamsted.ac.uk/download/cf80775fa5a6334eb12dfe3e448015d6bda2e670ff23f3907407276c8839c8d0/435826/Subba-rao-2008-Modelling-and-optimization-of-ferme.pdf
https://repository.rothamsted.ac.uk/download/cf80775fa5a6334eb12dfe3e448015d6bda2e670ff23f3907407276c8839c8d0/435826/Subba-rao-2008-Modelling-and-optimization-of-ferme.pdf