Papers by Keyword: Phenol

Abstract: In this study, we illustrated enhanced biodegradation enzyme activity and the strains growth using the plants residues as carriers during the biodegradation of phenol in petrochemical wastewater. The three phenol-degrading strains named as A1, A2 and A3 were selected for an immobilized microorganism technique. A1, A2 and A3 were identified as Penicillium oxalicum, Aspergillus sp. and Sphingobacterium sp. using detailed morphological, biochemical and molecular characterization. The growth and degradation rate of phenol in wastewater by strains A1, A2 and A3 pre-grown in the agricultural residues (peanut shell) were higher than the free strains. Compared with the free strains,the enzyme activity of strains A1,A2 and A3, using the residues for pre-grown, increased 29.01 U/L, 30.30 U/L and 38.07 U/L, respectively. Hence, the immobilized microorganism technique is conducive to the phenol degradation.

Abstract: In this research, a new approach is used to identify the products of electrochemical oxidation of UV visible substances over solid electrodes. In order to determine the product of phenol electrooxidation over glassy carbon electrode, the results obtained using voltammetric method and photoluminescence spectroscopy have been compared. It was proved that in an alkaline solution phenol is present in form of phenolate-ion, adsorbing on the surface of glassy carbon electrode, and oxidized to hydroquinone with transfer of two electrons.

Abstract: Using solid phase extraction and high performance liquid chromatography (HPLC), this paper studies the adsorption capability of activated carbon to phenol. The phenol wastewater is simulated with raw water and pure water, respectively. In detail, we examine impact factors including adsorption time, activated carbon dosage, equilibrium concentration of phenol. Using the adsorption principles from the aspect of kinetics, our study shows that adsorption of powder activated carbon to phenol conforms to the Fran Delhi Freundrich adsorption model.

Abstract: Methods such as processing of ilmenite concentrate by impregnation and roasting, several kinds of CWAO system mineral catalyst is prepared. And to explore under certain conditions of phenol in waste water of phenol removal rate, compare several kinds of preparation methods of catalysts. Studies show that the effort of 723 K calcined after partial acid salt dipping made catalyst is best. Under the condition of 100 r/min at 303K, the 10 mg/L of phenol removal rate can reach more than 98%.

Abstract: The absorbents including MnO₂, fly ash, NaY zeolite and activated carbon powder were used to study the adsorption capacity of phenol. The effect of contact time and dosage of absorbents on the removal efficiency were investigated. The experimental results suggested that activated carbon powder is most effective absorbent, following as fly ash, MnO₂ and NaY zeolite which the removal efficiency could reached 98.41%,77.65%, 60.19% and 24.13% at 90min respectively. The data indicated that the activated carbon powder was favorable for adsorption while NaY zeolite was unfit for absorbent of phenol from aqueous solution due to lower removal.

Abstract: In order to study hematite of different crystallography form with hydrogen peroxide to form various kinds of Fenton-like reagent in the process of phenol removal, we discuss the effect of different shapes, particle sizes and some other factors on the degradation of phenol in the process of catalysis. This article studies the synthesis of Fenton-like reagent with hematite and its role in the process of catalysis of phenol to find the most suitable crystallography form.

Abstract: This paper studied the adsorption of organic bentonite for phenol solution by changing the condition of organic bentonite dosage, phenol concentration temperature, adsorption time. According to the experimental results The system of BP neural network was evaluated by Matlab software to forecasting the complex nonlinear relationship between the amount of phenol solution concentration, adsorption time, solution temperature and remove rate of phenol, Experimental data used for the neural network model is more than 534 times of training. After training, the model achieves an accuracy of 0.0001. Finally, a group of test is forecasted by the data model. The results showed that predictive value and measured value of absolute error is only 0.0032 and0.0016. The predicted results show that in the system, a BP neural network model is evaluated successful..This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.

Abstract: Competitive adsorption of phenol and Cr⁶⁺ in organic bentonite was studied in this paper. To solve the problem of multivariate nonlinear model of competition adsorption for Cr⁶⁺ and phenol on organic bentonite, MATLAB was used to process data to get parameter equation. The parameter equation fitting could explain competitive adsorption behavior of phenol and Cr⁶⁺ on organic bentonite. According to the fitting equation of 3D graphics,the result was deduced that the higher concentration of Cr⁶⁺, the lower the concentration of phenol. Phenol adsorption on organic bentonite is influenced by Cr⁶⁺.

Abstract: We developed iron-oxide catalysts for producing petroleum-related chemicals from inedible biomass wastes containing water by oxidative cracking. These catalysts composed basically of iron-oxide and zirconia. The usefulness of the catalysts was examined by the reactions of several inedible biomass wastes, such as palm waste, livestock excreta, fermentation residue, raw glycerin, raw bioethanol and lignin. It was found that ketones, mainly acetone, were produced from palm waste, livestock excreta, fermentation residue and raw bioethanol at high yields. Phenol was obtained from palm waste. In the case of raw glycerin, even if high contents of alkali, allyl-alcohol, propene and acetone were successfully produced. Furthermore, phenols could be recovered from lignin.

Abstract: This study aims to enhance the bacteria’s ability to degrade phenol by exploring the phenol-degrading capability of hybrid strains and immobilized cells. Two phenol-degradation strains named as A1 and A2 were isolated respectively.The StrainA1 was identified as Burkholderia, while strain A2 was found to be Bacillus cereuswere. In addition, conditions including inoculum strains , pH value, temperature and dissolved oxygen were tested. . It was shown that: (1)Hybrid strains ( mixed A1 with A2) was better than single strain(A1 or A2) in degrading phenol because of the Synergistic effect. It can completely degraded phenol at the concentration of 300mg/ L, 500mg / L, 700mg / L within 12h, 24h, 48h respectively. (2) The optimum environmental conditions of phenol degradation for hybrid strains culture is 35°C, pH is 7.0, the inoculum strains is 10%. (3) It is beneficial to the degradation of phenol, when the speed of the shaker was improved. (4) Phenol-degradation rate and the tolerance of high concentration of phenol were significantly improved when the A1 and A2 were mixed immoblized.