2003
DOI: 10.1016/s0032-9592(03)00057-8
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Response surface methodological approach to optimize the nutritional parameters for neomycin production by Streptomyces marinensis under solid-state fermentation

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Cited by 151 publications
(70 citation statements)
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“…A, B and C were the independent variables corresponding to the concentration of chitin, yeast extract and potassium di-hydrogen phosphate, respectively. Statistical analysis of the model was performed to evaluate the analysis of variance (ANOVA) Table (4) and the quadratic models were represented as contour plots (3D) using Design-Expert® 8 software from Stat-Ease, Inc. 27 . All experiments were carried out in duplicate and the averages of chitinase activity were taken as response.…”
Section: Statistical Optimization Of Bdiminuta Kt277492 Chitinase Enmentioning
confidence: 99%
“…A, B and C were the independent variables corresponding to the concentration of chitin, yeast extract and potassium di-hydrogen phosphate, respectively. Statistical analysis of the model was performed to evaluate the analysis of variance (ANOVA) Table (4) and the quadratic models were represented as contour plots (3D) using Design-Expert® 8 software from Stat-Ease, Inc. 27 . All experiments were carried out in duplicate and the averages of chitinase activity were taken as response.…”
Section: Statistical Optimization Of Bdiminuta Kt277492 Chitinase Enmentioning
confidence: 99%
“…CCD proposed by (Adinarayana et al, 2003; was selected for this study. A 2 3 factorial design with six star points and six replicates at the central points were used to fit the second-order polynomial model.…”
Section: Central Composite Designmentioning
confidence: 99%
“…Results and Discussion the algorithms described above were applied to three wellknown state-of-the-art fermentation bioprocesses. Table 4, Table 5, and Table 6 give the input and the output variables of each bioprocess example (1,5,27). The first one concerns the bioprocess of inulinase production, whereas the second is an antibiotic production bioprocess.…”
Section: Tablementioning
confidence: 99%
“…Kennedy (18) describes an extensive study of the acceleration parameter in PSO's first version. However, a recent work (2) has suggested that it may be in one's best interest to choose w 1 , the cognitive parameter, to be larger than w 2 , the social parameter, with the limitation that w 1 + w 2 ≤ 4. the parameters r 1 and r 2 are used to maintain the diversity of the population, and they are uniformly distributed in the range [0,1].…”
Section: Rbf Modelingmentioning
confidence: 99%