2001
DOI: 10.1016/s0032-9592(00)00279-x
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Optimised production and utilisation of exopolysaccharide from Agrobacterium radiobacter

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Cited by 110 publications
(66 citation statements)
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“…The fitted polynomial equation is expressed as surface and contour plots in order to visualize the relationship between the response and experimental levels of each factor and to deduce the optimum conditions (Triveni et al, 2001). The analysis of variance tables were generated and the effect and regression coefficients of individual linear, quadratic and interaction terms were determined.…”
Section: Resultsmentioning
confidence: 99%
“…The fitted polynomial equation is expressed as surface and contour plots in order to visualize the relationship between the response and experimental levels of each factor and to deduce the optimum conditions (Triveni et al, 2001). The analysis of variance tables were generated and the effect and regression coefficients of individual linear, quadratic and interaction terms were determined.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, there has been no research about degrading chitosan with NaClO alone. Response surface methodology is a statistical method that is useful for mathematical modeling and simultaneously solving multivariate equations (Triveni et al 2001). It can quantify the correlation between the independent input parameters and the dependent response (Aslan and Cebeci 2007).…”
Section: Introductionmentioning
confidence: 99%
“…The media optimization for higher PHA production by traditional method is tedious and time consuming. Hence response surface methodology (RSM) has been used for optimization of different process parameters in a single experiment (Triveni et al, 2001). The chapter deals with optimization of media for PHA production by the selected Bacillus sp, extraction and characterization of the polymer produced by the bacterium.…”
Section: Discussionmentioning
confidence: 99%
“…As reported earlier (Triveni et al, 2001) a central composite rotatable design (CCRD) with five variables, at five levels (citric acid, KH 2 PO 4 , glucose, (NH 4 ) 2 HPO 4 and inoculum) was used to study the response pattern and optimum combination of the variables used (Table 37). the product CCRD was arranged to fit the regression model using multiple regression program (Table 40).…”
Section: Experimental Designmentioning
confidence: 99%