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http://dx.doi.org/10.14478/ace.2017.1030

Statistical Analysis of Synthesis of Gamma-alumina (γ-Al2O3) Nanoparticles Using Reverse Micelles  

Lee, Kil Woo (Department of Chemical & Biomolecular Engineering, Seoul National University of Science & Technology)
Yoo, Kye Sang (Department of Chemical & Biomolecular Engineering, Seoul National University of Science & Technology)
Publication Information
Applied Chemistry for Engineering / v.28, no.3, 2017 , pp. 351-354 More about this Journal
Abstract
An experimental design method was used to optimize the synthesis of gamma-alumina with a superior thermal stability using the reverse micelle method. First, twelve experimental conditions were derived by using the mixture design method to optimize conditions for the ratio of surfactant, water and oil, which are main factors in the synthesis process. When the particles synthesized by reverse micelle method were calcined at $900^{\circ}C$ under the designed condition, they all had gamma-alumina crystal structure although there were differences in particle sizes. The coefficient of determination of the second-order regression model using the derived experimental results was 93.68% and the P-value was 0.002. The synthesis conditions forgamma-alumina with various particle sizes were presented using surface and contour lines. As a result, it was calculated that the smallest particle size of about 2.8 nm was synthesized when the ratio of surfactant/water/oil was 0.3450/0.0729/0.5821.
Keywords
gamma-alumina; reverse micelle; design of experiment; mixture design;
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