Application of numerical modeling for the development of optimized complex medium for D-hydantoinase production from Agrobacterium radiobacter NRRL B 11291

The biodegradation of phenol by Pseudomonas putida (NICM 2174), a potential biodegradent of phenol has been investigated for its degrading potential under different operating conditions. Box-Behnken design has been employed to study the effect of different experimental variables. Four variables of maltose (0.25, 0.5, 0.75 g/l), phosphate (3, 12.5, 22 g/l), pH (7,8,9) and temperature (30°C, 32°C, 34°C) were used to identify the signi®cant effects and interactions in the batch studies. A second order polynomial regression model, has been developed using the experimental data. It was found that the degrading potential of Pseudomonas putida (NICM 2174) was strongly affected by the variations in maltose, phosphate, pH and temperature. The experimental values were in good agreement with the predicted values, the correlation coef®cient was found to be 0.9980. Optimum conditions of the variables for the growth of Pseudomonas putida (NICM 2174) and for maximum biodegradation of phenol are maltose (0.052 g/l), phosphate (8.97 g/l), pH (7.9) and temperature (31.5°C).

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“…effect on phenol degradation. Maltose was found to be a good carbon source for both the biomass and degradation studies [32,41].…”

Section: Resultsmentioning

confidence: 99%

Box-Behnken design in the development of optimized complex medium for phenol degradation using Pseudomonas putida (NICM 2174)

Annadurai

Balan

Murugesan

1999

Bioprocess Engineering

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“…The present study was taken up to observe the combined effect of three different components namely dye concentration, number of days and nitrogen concentration, that were involved in batch studies. Statistically designed experiments were performed [29,32,34]. The levels (coded and uncoded) of signi®cant variables are given in Tables 1 and 2.…”

Section: Resultsmentioning

confidence: 99%

Biodegradation of reactive dye (Verofix Red) by the white-rot fungus Phanerochaete chrysosporium using Box-Behnken experimental design

Nagarajan

Annadurai

1999

Bioprocess Engineering

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Biodegradation of reactive dye using the white rot fungus Phanerochaete chrysosporium was demonstrated by the disappearance of the colour of reactive dye. An increase in dye concentration showed decreased dye degradation, and maximum dye degradation and increased biomass was observed in medium amended with limited source of nitrogen. Increasing days showed increased biomass production as well as dye degradation. BoxBehnken design with three variables like dye concentration (200, 700 and 1200 mg/l), days (2, 6 and 10) and nitrogen concentration at three different levels (0.054, 0.081 and 0.108 g/l) were studied to identify a signi®cant correlation between the effect of these variables on the amount of biodegradation of reactive dye. The methodology identi®es the principal experimental variables, which have the greatest effect in the biodegradation process. The experimental values are in good agreement with predicted values, the correlation coef®cient being 0.9988.

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“…Higher concentration of glucose had no effect on phenol degradation. Glucose was found to be a good carbon source for both biomass and degradation studies [16,17]. Inhibition of phenol utilisation by the cells could take place in the presence of lower concentration as reported earlier by [18].…”

Section: Evaluation Model For Percentage Degradation Under Different mentioning

confidence: 99%

Mathematical modeling of phenol degradation system using fuzzy comprehensive evaluation

Annadurai

Babu

Srinivasamoorthy

2000

Bioprocess Engineering

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New mathematical model for phenol degradation is developed that uses fuzzy comprehensive evaluation. Biodegradation of phenol by Pseudomonas putida (NICM 2174), a potential biodegradent of phenol has been investigated for its degrading potential under different conditions. In the present work, results of batch study on P. putida (NICM 2174) and its degradation activity on phenolic compounds such as phenol, o-cresol, p-cresol, p-nitrophenol and resorcinol each of concentration 0.300 g/l are considered. In the present study, the effect of glucose, yeast extract, ammonium sulphate and NaCl each at 0.5, 1.5, 2.0, 3.0 and 4 g/l on degradation of aforementioned phenolic compounds have been investigated and a fuzzy control model has been developed to predict the extent of degradation. Main aspect of this study is to establish a fuzzy relation matrix R for objective evaluation of phenol degradation. A series of membership functions for the degradation are being evaluated after investigating the growth properties of bacteria at various levels of carbon and nitrogen sources. Important element is the factor vector A, which is deduced from a survey of panel of judges (n 25). A in conjunction with R generates a multifactorial equation which can be used to calculate the extent of phenol degradation. Biomass growth contributed signi®cantly to phenol degradation rates especially when the degradation medium was supplemented with a utilizable carbon and nitrogen sources.

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Application of numerical modeling for the development of optimized complex medium for D-hydantoinase production from Agrobacterium radiobacter NRRL B 11291

Cited by 16 publications

References 14 publications

Box-Behnken design in the development of optimized complex medium for phenol degradation using Pseudomonas putida (NICM 2174)

Box-Behnken design in the development of optimized complex medium for phenol degradation using Pseudomonas putida (NICM 2174)

Biodegradation of reactive dye (Verofix Red) by the white-rot fungus Phanerochaete chrysosporium using Box-Behnken experimental design

Mathematical modeling of phenol degradation system using fuzzy comprehensive evaluation

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