Logical and Experimental Design for Phenol Degradation Using Immobilized Acinetobacter Sp. Culture

Abstract

Phenol degradation processes were conducted through a series of enzymatic reactions effects and is affect by different components of the microbial metabolic flux. Using different optimization strategies like mutagenesis could lead to a successful optimization but also lead to lost of some important microbial features or to release a new virulence or unexpected characters. Plackett-Burman closes much gab between optimization, safety, time, cost, Man/hr, the complexity of the metabolic flux etc. Using Plackett-Burman experimental design lead to map the points affect in the optimization process by well understanding their request from nutrient and the best environmental condition required. In this study nine variables include pH (X1), oC (X2), glucose (X3), yeast extract (X4), meat extract (X5), NH4NO3 (X6), K-salt (X7), Mg-salt (X8) and trace element (X9) are optimized during phenol degradation by Acinetobacter sp., using Plackett-Burman design method. Plackett-Burman included 16 experiments, each was used in two levels, [-1] low and high [+1]. According to Blackett-Burman design experiments the maximum degradation rate was 31.25 mg/l/h. Logical and statistical analysis of the data lead to select pH, Temperature and Meat extract as three factors affecting on phenol degradation rate. These three variables have been used in Box-Behnken experimental design for further optimization. Meat extract, which is not statistically recommended for optimization has been used while it can substitute trace element, which is statistically significant. Glucose, which is statistically significant, did not included while it has a negative effect and gave the best result at 0 g/l amount. Glucose has been completely omitted from the media. pH, temperature and meat extract were used in fifteen experiments each was used in three levels, –1, 0, and +1 according to Box-Behnken design. Microsoft Excel 2002 solver tool was used to optimize the model created from Box-Behnken. The calculated degradation rate was 37.30 mg/l/hr at pH=7.12, Meat extract=1.6 g/l and Temperature=27.77oC. To prove the efficiency of using the Microsoft Excel 2000 solver the calculated variables are tested experimentally in vivo. The degradation rate was 38.45 mg/L/hr, which equal to 103.08% accuracy. The high accuracy level points out the efficiency of using Box-Behnken experimental design and the Excel solver to optimize its model.

Optimizing PHB and Protease Production by Box Behnken Design

“…The PHB produced from the different experiments were analyzed by multiple regression analysis. The created model was generated using the coefficient of each variable as described in detailed by Amara and Salem [18]. The various interactions between responses have represented in the surface plots.…”

Tea fiber waste as an adsorbent to remove phenol from wastewater

“…The Langmuir isotherm is explained assuming that adsorption is occurring uniformly on the surface. The simplified form of the model is represented as [24] = + 1 (2) and the adsorption capacity (mg/g) and solute concentration (mg/L) at equilibrium respectively, the model constant (L/mg) and…”

“…The usage of phenol and phenolic compounds are of great importance in different chemical process industries [1]. They generally exists in wastewater released from industries like petroleum refining, distillery, coal gasification, pulp and paper and coke oven industries [2], [3]. Therefore, from the wastewater, phenol enters the aquatic bodies and the water sources in the environment.…”

“…It reduces the quality of drinking water. It also leads to various health problems such as damage of skin, gastrointestinal and cardiovascular illness [1], [2], [3]. Thus removing phenol from the wastewater is required and is a major challenge for the environmentalist from the pollution point of view.A large number of treatment methods like chemical oxidation, biodegradation, ion exchange, adsorption and membrane separation are used for treating phenol [4].…”

Statistical optimization of textile dye effluent adsorption by Gracilaria edulis using Plackett-Burman design and response surface methodology

“…There are several methods for the optimization and modeling available from the ancient elementary model like one factorial at a time (OFAT) to composite and nexus statistical designs like Plackett-Burman design (PBD), Box-Behnken design (BB), and Central Composite Design (CCD) ( Amara and Salem, 2010 ; Silveira et al., 2015 ). The OFAT was the most used in the ancient days to optimize the factors.…”