2015Environmental Engineering and Management JournalOpen access

OPTIMIZATION OF ULTRASONIC EXTRACTION CONDITIONS FOR EXCESS SLUDGE PROTEIN USING RESPONSE SURFACE METHODOLOGY

Yulin Xiang, Lipeng Wang, Yuxiu Xiang

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Abstract

Response surface methodology and central composite experimental design were used to model and optimize the operational parameters of the excess sludge protein extraction yield by ultrasonic wave-assisted extraction.The three variables involved in this research were the ultrasonic extraction time, pH, and temperature.In the range studied, statistical analysis of the results showed that selected variables had a significant effect on protein extraction yield.The optimized extraction conditions contained: extraction time 36.72min,pH 8.98, and temperature 34.14 o C. The protein extraction yield approached 78.61% under optimal conditions.Regression analysis with an R 2 value of 0.9942 indicated a satisfactory correlation between the experimental data and predicted values (response).In addition, based on a feasibility analysis, the ultrasonic wave-assisted extraction method can improve odor and color of the protein solution.Compared with the conventional method, the ultrasonic wave-assisted extraction method was more cost-effective, convenient, and potentially applicable.

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Response surface methodology and central composite experimental design were used to model and optimize the operational parameters of the excess sludge protein extraction yield by ultrasonic wave-assisted extraction.The three variables involved in this research were the ultrasonic extraction time, pH, and temperature.In the range studied, statistical analysis of the results showed that selected variables had a significant effect on protein extraction yield.The optimized extraction conditions contained: extraction time 36.72min,pH 8.98, and temperature 34.14 o C. The protein extraction yield approached 78.61% under optimal conditions.Regression analysis with an R 2 value of 0.9942 indicated a satisfactory correlation between the experimental data and predicted values (response).In addition, based on a feasibility analysis, the ultrasonic wave-assisted extraction method can improve odor and color of the protein solution.Compared with the conventional method, the ultrasonic wave-assisted extraction method was more cost-effective, convenient, and potentially applicable.

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Available abstract

Response surface methodology and central composite experimental design were used to model and optimize the operational parameters of the excess sludge protein extraction yield by ultrasonic wave-assisted extraction.The three variables involved in this research were the ultrasonic extraction time, pH, and temperature.In the range studied, statistical analysis of the results showed that selected variables had a significant effect on protein extraction yield.The optimized extraction conditions contained: extraction time 36.72min,pH 8.98, and temperature 34.14 o C. The protein extraction yield approached 78.61% under optimal conditions.Regression analysis with an R 2 value of 0.9942 indicated a satisfactory correlation between the experimental data and predicted values (response).In addition, based on a feasibility analysis, the ultrasonic wave-assisted extraction method can improve odor and color of the protein solution.Compared with the conventional method, the ultrasonic wave-assisted extraction method was more cost-effective, convenient, and potentially applicable.

Key concepts: Ultrasonic sensor, Response surface methodology, Extraction (chemistry), Chromatography, Materials science, Pulp and paper industry, Chemistry, Acoustics

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