Optimization of chitosanase production from <i>Bacillus</i> sp. RKY3 using statistical experimental designs

Wee, Young‐Jung; Reddy, Lebaka Veeranjaneya; Chung, Ki-Chul; Ryu, Hwa-Won

doi:10.1002/jctb.2190

Cited by 20 publications

(17 citation statements)

References 32 publications

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“…Using a second‐order polynomial equation, it is possible to explain the behavior of each variable, their interactions, and the statistical analysis and acquire predicted responses . The following second‐order polynomial equation was used:

Y = b_{0} + \sum b_{normali} x_{normali} + \sum b_{ij} x_{normali} x_{normalj} + \sum b_{ii} x_{i}^{2}

where Y is the predicted response, b 0 is the model constant, b i is the linear coefficients, b ii are the quadratic coefficients, and b ij is the interaction coefficients.…”

Section: Methodsmentioning

confidence: 99%

“…Derived from the hydrolysis of chitosan, the chitooligosaccharides have several biofunctional properties, including antiinflammatory , prebiotic , antimicrobial , antitumor , and immunopotentiating effects . Therefore, the nutraceutical and medical industries have given special attention to the production of oligosaccharides from chitosan .…”

Section: Introductionmentioning

confidence: 99%

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Recovery and purification of chitosanase produced by Bacillus cereus using expanded bed adsorption and central composite design

Araújo

Pimentel

Silva

et al. 2016

J of Separation Science

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This study presents a system for expanded bed adsorption for the purification of chitosanase from broth extract in a single step. A chitosanase-producing strain was isolated and identified as Bacillus cereus C-01 and used to produce chitosanases. The expanded bed adsorption conditions for chitosanase purification were optimized statistically using STREAMLINE(TM) DEAE and a homemade column (2.6 × 30.0 cm). Dependent variables were defined by the quality criteria purification factor (P) and enzyme yield to optimize the chromatographic process. Statistical analyses showed that the optimum conditions for the maximum P were 150 cm/h load flow velocity, 6.0 cm settled bed height, and 7.36 cm distributor height. Distributor height had a strong influence on the process, considerably affecting both the P and enzyme yield. Optimizing the purification variables resulted in an approximately 3.66-fold increase in the P compared with the value under nonoptimized conditions. This system is promising for the recovery of chitosanase from B. cereus C-01 and is economically viable because it promotes the reduction steps.

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Y = b_{0} + \sum b_{normali} x_{normali} + \sum b_{ij} x_{normali} x_{normalj} + \sum b_{ii} x_{i}^{2}

where Y is the predicted response, b 0 is the model constant, b i is the linear coefficients, b ii are the quadratic coefficients, and b ij is the interaction coefficients.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recovery and purification of chitosanase produced by Bacillus cereus using expanded bed adsorption and central composite design

Araújo

Pimentel

Silva

et al. 2016

J of Separation Science

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“…The final medium composition optimized with response surface methodology was: Microbial chitosanase production has been reported by several authors, such as Bacillus cereus (1.5 U/mL) (Piza et al, 1999), Bacillus sp. RKY3 (63.53 U/mL) (Wee et al, 2009), Streptomyces griseus (0.92 U/mL) , Acinetobacter sp. C-17 (2.8 U/mL) (Zhu et al, 2003), Aspergillus sp (1.18 U/mL) (Li et al, 2008) and Matsuebacter chitosanotabidus (15.24 U/mL) (Park et al, 1999).…”

Section: Experimental Validation Of the Optimized Conditionmentioning

confidence: 99%

“…JG , while heptamers and oligomers with higher polymerization degrees were obtained by chitosanase CBCIII from Bacillus cereus (Lin et al, 2009). So application of novel and potential chitosanases has recently gained importance as an advanced alternative approach for producing chitooligosaccharides (Wee et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Statistical optimization of medium compositions for chitosanase production by a newly isolated Streptomyces albus

Cheng

Wang

Hong

2012

Braz. J. Chem. Eng.

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-The nutritional medium compositions required for chitosanase production by Streptomyces albus YT2 were optimized, and the strain was isolated from the coastal soil of Bohai Sea. Plackett-Burman design was applied to evaluate the effect of different medium compositions obtained by one-factor-at-a-time experiments. Glucose, peptone and MgSO 4 were found to influence the activity of chitosanase significantly. The steepest ascent method was employed to approach the experimental design space, followed by the use of Box-Behnken design and response surface methodology for further optimization of the chitosanase production. The medium composition for optimal production of chitosanase was as follows: 0.5 g/L chitosan, 55 g/L glucose, 1 g/L peptone, 2 g/L (NH 4 ) 2 SO 4 , 8 g/L urea, 1 g/L NH 4 Cl, 3 g/L KH 2 PO 4 , 1 g/L FeSO 4 ·7H 2 O, 2 g/L ZnSO 4 ·7H 2 O, 2 g/L CaCl 2 ·6H 2 O, 2 g/L MnSO 4 ·H 2 O and 2 g/L NaCl. The chitosanase production was found to increase from 11.56 U/mL to 39.87 U/mL, a 3.47-fold increase compared with that using the original medium.

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“…Bacillus subtilis RKY3, which was isolated from soil, was stored at the Korean Collection for Type Cultures (KCTC; accession number KCTC 10412BP) . Stock cultures of B. subtilis RKY3 were maintained in 20% (v/v) glycerol at −20 °C and subcultured every month.…”

Section: Methodsmentioning

confidence: 99%

Improved production of poly(γ‐glutamic acid) by Bacillus subtilisRKY3 and its recovery from viscous fermentation broth as a biodegradable polymer

Jeong

Kim

Ryu

et al. 2013

J of Chemical Tech & Biotech

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BACKGROUND Physiological parameters (culture pH, aeration rate, and agitation speed) were optimized to improve γ‐PGA production by batch culture of Bacillus subtilis RKY3. The optimum conditions for recovery of γ‐PGA from highly viscous culture broth were also investigated. RESULTS Enhanced γ‐PGA production (41.4 g L−1, 397 cP) was observed under optimized physiological culture parameters (no pH control, 1.5 L min−1 aeration, and 300 rpm agitation). The cells were completely removed by diluting the viscous culture broth 7.5‐, 5.0‐, and 2.5‐fold at pH 6.0, 4.0, and 2.0, respectively. Maximum recovery of γ‐PGA was observed when the volume ratio of cell‐free culture broth to cold ethanol was 1:5 at pH 6.0. γ‐PGA with a molecular weight <100 kDa was successfully excluded in an ultrafiltration system to develop more economical recovery of γ‐PGA from cell‐free culture broth, which resulted in efficient γ‐PGA concentration with a molecular weight >100 kDa. CONCLUSION The physiological parameters affecting γ‐PGA production were optimized, and the isolation and recovery of γ‐PGA from viscous culture broth was also evaluated. Cells were removed completely by diluting the culture broth, and precipitation of γ‐PGA using cold ethanol was better than that of other alcohols. Ultrafiltration was found to be an efficient recovery method for concentration of culture broth containing γ‐PGA. © 2013 Society of Chemical Industry

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Optimization of chitosanase production from Bacillus sp. RKY3 using statistical experimental designs

Abstract: BACKGROUND: The culture medium and fermentation conditions for the production of constitutive chitosanase from a newly isolated Bacillus sp. RKY3 were optimized statistically.

Cited by 20 publications

References 32 publications

Recovery and purification of chitosanase produced by Bacillus cereus using expanded bed adsorption and central composite design

Recovery and purification of chitosanase produced by Bacillus cereus using expanded bed adsorption and central composite design

Statistical optimization of medium compositions for chitosanase production by a newly isolated Streptomyces albus

Improved production of poly(γ‐glutamic acid) by Bacillus subtilisRKY3 and its recovery from viscous fermentation broth as a biodegradable polymer

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