Optimization of 2,3-dihydroxybiphenyl 1,2-dioxygenase expression and its application for biosensor

Zhang, Qiang; Qu, Yuanyuan; Zhang, Xuwang; Ma, Qiao; Li, Xinliang

doi:10.1016/j.biortech.2011.08.071

Cited by 9 publications

(5 citation statements)

References 35 publications

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“…The Design Expert program includes several symmetrical experimental designs such as the Central Composite, Plackett-Burman, and Box-Behnken which are considered useful in optimization studies. Furthermore ( Zhang et al , 2011 ) reported that the Design Expert software has been applied in certain enzyme catalysis, bacterial growth, and process design. It has the capacity to reduce processing time and the number of experimental test runs; can easily converge on the most desirable combination, or sweet spot; and could optimize parameter attributes for formulated product response.…”

Section: Introductionmentioning

confidence: 99%

Optimization of bioremediation-cocktail for application in the eco-recovery of crude oil polluted soil

2020

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Background: Environmental sustainability is the driver for finding the optimal bioremediation cocktail with the combination of highly potent hydrocarbonoclastic strains and the nutrient additives that significantly enhance mineralization of crude oil in polluted soil in order to mitigate its deleterious effects on the environment. In this study, four hydrocarbon-degrading bacterial strains were pre-selected from mined rhizobacterial isolates in aged crude oil-contaminated soil. Method: Agrowaste residues of poultry-droppings, corn chaff, and plantain peel were selected among others for their ability to support high biomass of selected bacterial strains. Baseline proximate analysis was performed on the agrowaste residues. Simplified, one variable at a time (OVAT) was employed in the validation of the variables for optimization using the Multivariate analysis tool of Response Surface Methodology (RSM). To test the significant formulation variables, the Box-Behnken approach using 15 runs design was adopted. Results: The rate of contaminant removal was observed to fit into a quadratic function. For optimal rate or contaminant removal, the fitted model predicted the optimal formulation cocktail condition to be within 0.54 mg/kg (Corn steep liquor), phosphate 137.49 mg/kg (poultry droppings) and 6.4% inocula for initial TPH of 9744 mg kg-1 and THC of 9641 mg kg-1 contaminant level. The model for the application of the bioremediation product and the variables evaluated had a significant p-value < 0.005 for the attainment of 85 to 96 % of TPH and THC removal after 56 days of treatment. Conclusions: This study has shown the need to harness the abundant agrowaste nutrients in supporting high throughput rhizobacteria in the formulation of a bioremediation agent suitable for use in the reclamation of oil spill sites in the Niger Delta oil-producing region.

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Section: Introductionmentioning

confidence: 99%

Optimization of bioremediation-cocktail for application in the eco-recovery of crude oil polluted soil

2020

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“…By RSM, the effect of variables can be investigated simultaneously with minimum number of experiments. There are few study related with RSM application for optimization of biosensor construction parameter in the literature (Gouda et al 2001, Urkut et al 2011, Zhang et al 2011, Ebrahimi et al 2011, Kergavarat et al 2012, Haghighi et al 2012, Mirmoghtadaie et al 2013, Chaichi & Ehsani, 2016.…”

Section: Introductionmentioning

confidence: 99%

Using Response Surface Methodology for Amperometric Glucose Biosensor Construction

Özyılmaz¹,

Özyılmaz²,

Ağçam³

2018

Natural and Engineering Sciences

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In this study, construction of amperometric glucose biosensor was carried out by immobilizing of glucose oxidase (GOD) on platinum electrode with 0.09 cm 2 surface area which coated with polypyrrole (PPy) by cyclic voltammetry technique. Because measured current values in the presence of glucose would be affected from the electrode preparing and working conditions, experimental parameters should be optimized by response surface methodology (RSM). To this, State Ease Design Expert 8.0.7.1. (Serial Number:0021-6578) programe was used. PPy synthesis conditions of pyrrole (Py) monomer concentration and scan rate were optimized according to current response in presence of glucose. Optimal Py monomer concentration and scan rate for PPy synthesis were determined as 10 mM and 50 mV/s, respectively. Immobilization parameters such as concentrations of chitosan, GOD and glutaraldehyde (GAL) also were optimized by RSM as 1.0 %, 4 mg/ml and 0.0625 %, respectively. The digital photos of electrodes at each stage were obtained. All electrodes well characterized in absence and in the presence of glucose by cyclic voltammetry and impedance techniques and it was observed that electrodes were sensitive to glucose molecule. Finally the effect of working pH and applied potential on the current response was investigated by RSM. The highest current response was obsreved when pH of glucose solution and applied potential were 6.0 and 0.8, respectively.

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“…Recently, many statistical experimental design methods, such as plackett-burman design (PBD) and response surface methodology (RSM), have been used to screen and optimize the key variables in the project of microbiological fermentation and have achieved good effect [14][15][16][17][18][19][20][21][22] . PBD is best suited for selecting the significant parameters from the overall factors in the project of fermentation using the fewest experiments, which can reduce the frequency of experiments and obtain the most information [14][15] .…”

Section: Introductionmentioning

confidence: 99%

“…RSM is another powerful and widely used statistical method, which can determine the interactions of every variable and work out the optimized parameters of fermentation [16][17] . On the base of the feature of these two statistical methods, RSM combining with PBD was most widely adopt in the great majority of experiments [14][15][16][17][18][19][20][21][22] , which firstly selected significant factors from all effective factors, then effectively optimized the significant parameters and determined their interactions of every parameters together.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Culture Parameters for Expression of Recombinant Human Basic Fibroblast Growth Factor in <i>Pichia pastoris</i> Using Response Surface Methodology Combining with Plackett-Burman Design

Jiang

Sun

et al. 2013

AMR

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In this study, we used plackett-burman design (PBD) and response surface methodology (RSM) methods to optimize media and culture conditions for expression of recombinant human basic fibroblast growth factor (rhbFGF) in Pichia pastoris in order to effectively enhance the production of rhbFGF. PBD was used to screen the most significant factors from nine important factors, which were fermentation time, methanol, temperature, initial pH, OD600 for inducement, concentrated volume, YNB peptone, and casein. Then RSM was further used to optimize the significant parameters. Our results had shown that three significant factors selected by PBD were temperature, fermentation time, and methanol. Base on the 3-factor-3-level central composite design (CCD) of RSM, the final optimized conditions were fermentation time 126.7h, methanol 1.3%, temperature 21.3°C, initial pH 6.0±0.1, OD600 for inducement 26, concentrated volume 100 ml, YNB 13.4%, peptone 4%, and casein 0.1%. The maximum production of rhbFGF was 302.4mg/L, which was 2 times higher than the production of rhbFGF reported in the previous studies. Those results provided the foundation for further researches on higher density cultivation condition of rhbFGF explored in the fermenter and accelerate the industrialization development of rhbFGF.

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Optimization of 2,3-dihydroxybiphenyl 1,2-dioxygenase expression and its application for biosensor

Cited by 9 publications

References 35 publications

Optimization of bioremediation-cocktail for application in the eco-recovery of crude oil polluted soil

Optimization of bioremediation-cocktail for application in the eco-recovery of crude oil polluted soil

Using Response Surface Methodology for Amperometric Glucose Biosensor Construction

Optimization of Culture Parameters for Expression of Recombinant Human Basic Fibroblast Growth Factor in <i>Pichia pastoris</i> Using Response Surface Methodology Combining with Plackett-Burman Design

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