2012
DOI: 10.1590/s1516-89132012000400004
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Abstract: The aim of this work was to isolate the potent bacterial strains for the production of cellulose enzyme. A total 30 bacterial isolates showed positive results for the cellulase production but highest enzyme activity was shown by isolate JS 14. From the morphological and biochemical reactions, the isolate was identified as Bacillus sp. Cellulase production was studied by this strain using response surface methodology (RSM). A central composite design (CCD) quadratic response surface was applied to explicate the… Show more

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Cited by 32 publications
(16 citation statements)
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“…Partially purified endoglucanase obtained from the culture supernatant of promising elite isolate, B. licheiformis KBFB3 showed maximum specific activity (13.0 IU mg −1 ) compared to that reported by Li et al ( 2006 ) and Singh and Kaur ( 2012 ) which was slightly less than the specific activity of purified enzyme activity obtained from Bacillus sp. However, further purification by ion exchange and gel filtration chromatographic would improve the specific activity of B. licheiformis KBFB3 as mentioned in previous reports.…”
Section: Discussionmentioning
confidence: 51%
“…Partially purified endoglucanase obtained from the culture supernatant of promising elite isolate, B. licheiformis KBFB3 showed maximum specific activity (13.0 IU mg −1 ) compared to that reported by Li et al ( 2006 ) and Singh and Kaur ( 2012 ) which was slightly less than the specific activity of purified enzyme activity obtained from Bacillus sp. However, further purification by ion exchange and gel filtration chromatographic would improve the specific activity of B. licheiformis KBFB3 as mentioned in previous reports.…”
Section: Discussionmentioning
confidence: 51%
“…Penicillium echinulatum has been identified as a potential candidate for cellulase and xylanase production because its secreting capacity is almost equivalent to the best T. reesei strains (Camassola and Dillon, 2010;Dillon et al, 2006). Statistical methods have also been designed for bioprocess optimization (Cheng et al, 2012;Coelho et al, 2011;Singh and Kaur, 2012). Combinatorial interactions of process variables with the production of the desired compound are numerous and the optimum processes may be developed using an effective experimental design procedure (Muthuvelayudham and Viruthagiri, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…However, the optimization of fermentation conditions of culture media is very tedious and complicated because many factors have to be considered [8]. The Response Surface Methodology (RSM) is an effective experimental method that can identify the optimal fermentation conditions for a multi-variable system mathematically and statistically [9,10]. The procedure of RSM to optimize the fermentation conditions may be briefly described as follows: (i) identifying factors that significantly impact the fermentation conditions using the Plackeet-Burman (PB) design method, which can identify significant factors among a larger number of influencing variables and eliminate relatively minor factors [11,12]; (ii) determining the change step size of each significant factor that are identified by PBD using steepest ascent design, which can confirm the optimal value area quickly and economically [13]; (iii) establishing a fermentation model and determining the optimal fermentation conditions by performing the Box-Behnken design (BBD), which reduces the number of experimental runs and provides enough information for the interaction between independent variables [14]; and (iv) comparing the predicted response value directly obtained by the BBD design with the experimental response value obtained by the optimal fermentation conditions, so as to verify the adequacy of the model.…”
Section: Introductionmentioning
confidence: 99%