Cyclodextrin glycosyltransferase from Bacillus licheniformis: optimization of production and its properties

Bonilha, Paulo Roberto Martins; Menocci, Vivian; Goulart, Antônio José; Polizeli, Maria de Lourdes Teixeira de Moraes

doi:10.1590/s1517-83822006000300022

Cited by 18 publications

(12 citation statements)

References 29 publications

(16 reference statements)

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“…Moreover, some Brazilian researchers have reported the isolation and production of CGTases by Bacillus sp. (2,3,9,15,16,17,19,21). This work reports the isolation of new Bacillus sp.…”

Section: Introductionmentioning

confidence: 93%

“…However, the greatest CGTase specific activity for the three isolated strains was obtained when growth occurred at 40ºC. Bonilha et al (3) reported that the greatest activity of BACNC-2 was obtained when culture occurred at 37ºC. Martins and Hatti-Kaul (21) showed that B. agaradherens LS-3C produced CGTase when cultivated at 37ºC and Larsen et al (12) showed that the CGTase production by Paenibacillus also occurred at 37ºC.…”

Section: Determination Of the Optimum Temperature For Cgtase Enzyme Pmentioning

confidence: 99%

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Cyclodextrin glycosyltransferase production by new Bacillus sp. strains isolated from brazilian soil

Menocci¹,

Goulart²,

Adalberto³

et al. 2008

Braz. J. Microbiol.

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Three strains of Bacillus sp. (BACRP, BACNC-1 and BACAR) were isolated from soil adhered to cassava husk. CGTase specific activity for the three isolated strains was higher when cultivated at 40ºC. Potato starch, cassava starch, maltodextrin and glucose were used as carbon source and growth temperatures varied from 25 to 55ºC. The three isolates presented higher CGTase specific activity when cultivated with potato starch at 40ºC. Isolated BACRP and BACAR presented specific activity of 4.0x10 -3 and 2.2x10 -3 U/mg prot at pH 7.0, respectively, when cultivated in mediums added with NaCl 2%; at pH 10,0 their activities were of 3.4x10 -3 and 3.0x10 -3 U/mg prot, respectively, in the same concentration of NaCl. On the other hand, the isolated BACNC-1 presented activity specific of 2.4x10 -3 U/mg prot when cultivated at pH 7.0 added of NaCl 1%, and at pH 10.0 the specific activity was of 3.4x10 -3 U/mg prot without NaCl addition. This work also showed the presence of cyclodextrins formed during fermentation process and that precipitation with acetone or lyophilization followed by dialysis was efficient at removing CDs (cyclodextrins), thus, eliminating interference in the activity assays. The enzyme produced by the BACAR strain was partially purified and β-CD was liberated as a reaction product.

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“…Moreover, some Brazilian researchers have reported the isolation and production of CGTases by Bacillus sp. (2,3,9,15,16,17,19,21). This work reports the isolation of new Bacillus sp.…”

Section: Introductionmentioning

confidence: 93%

Section: Determination Of the Optimum Temperature For Cgtase Enzyme Pmentioning

confidence: 99%

Cyclodextrin glycosyltransferase production by new Bacillus sp. strains isolated from brazilian soil

Menocci¹,

Goulart²,

Adalberto³

et al. 2008

Braz. J. Microbiol.

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“…2013;11 (4) For minimization of the learning error during the neural network training it is necessary to iteratively update the network weights. Different learning algorithms…”

Section: Artificial Neural Network Analysis Of β-Cd Productionmentioning

confidence: 99%

“…They are produced during degradation of starch by cyclodextrin glucanotransferases (CGTase) (EC 2.4.1.19) which is commercially available or can be produced by some microorganisms especially diverse strains of Bacillus such as Bacillus circulans (1). Bacillus macerans, Bacillus firmus (2) and Bacillus licheniformis (3)(4)(5). The capability of cyclodextrins (CDs) to form inclusion complexes and modify the physical and chemical properties of the guest molecules, makes them extremely attractive for vast industrial applications such as food, chemical, pharmaceutical, and textile, as well as in biotechnology and agriculture.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Optimization of β-Cyclodextrin Production by Bacillus licheniformis using Artiﬁcial Neural Network and Genetic Algorithm

2013

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Background:The complexity of the fermentation processes is mainly due to the complex nature of the biological systems which follow the life in a non-linear manner. Joined performance of artificial neural network (ANN) and genetic algorithm (GA) in finding optimal solutions in experimentation has found to be superior compared to the statistical methods. Range of applications of β-cyclodextrin (β-CD) as an enzymatic derivative of starch is diverse, where the complex performance of cyclodextrin glucanotransferase (CGTase) as the involved enzyme is not well recognized. Objectives: The aim of the present work was to use ANN systems with different training algorithms and defined architectures joined with GA, in order to optimize β-CD production considering temperature of the reaction mixture, substrate concentration, and the inoculum's pH as the input variables. Materials and Methods: Commercially Neural Power, version 2.5 (CPC-X Software, 2004) was used for the numerical analysis according to the specifications provided in the software. β-CD concentration was determined spectrophotometrically according to phenolphthalein discoloration technique, described in the literature. Results: Randomly obtaining the experimental data for β-CD production in a fermentation process, could get explainable order using the ANN system coupled with GA. Changes of the β-CD as the function of each of the three selected input variables, were best quantified with use of the ANN system joined with the GA. The performance of the IBP learning algorithm was highly favorable (10300 epoch's number within 5 second, with the lowest RMSE value) while the sensitivity analysis of the results which was carried out according to the weight method, were indicative of the importance of input variables as follows: substrate concentration < temperature < inoculum's pH. For instance, small changes in the system's pH are associated with the large variation in the β-CD production as has been described by the suggested model. Conclusions: Production of β-CD (enzymatic derivative of starch) by B. licheniformis was satisfactorily described based on multivariate data analysis application of the ANN system and the experimental data were optimized by considering ANN plus the GA where the IBP was used as the training method and with use of three neurons as the constructed variables in the hidden layer of the test network.

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“…They are the 6 glucose CDs (or a -CD), the 7 glucose CDs (or b -CD) and the 8 glucose CDs (or g -CD). CGTases are present in microorganisms including Bacillus , Klebsiella , Micrococcus, and Clostridium (Bonilha et al 2006 ;Menocci et al 2008 ) .…”

Section: Transferasesmentioning

confidence: 99%

Enzyme-assisted food processing

Simpson

Rui

Xiu-jie³

2011

Food Engineering Series

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Cyclodextrin glycosyltransferase from Bacillus licheniformis: optimization of production and its properties

Cited by 18 publications

References 29 publications

Cyclodextrin glycosyltransferase production by new Bacillus sp. strains isolated from brazilian soil

Cyclodextrin glycosyltransferase production by new Bacillus sp. strains isolated from brazilian soil

Modeling and Optimization of β-Cyclodextrin Production by Bacillus licheniformis using Artiﬁcial Neural Network and Genetic Algorithm

Enzyme-assisted food processing

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