화학공학소재연구정보센터
학회 한국공업화학회
학술대회 2022년 봄 (05/11 ~ 05/13, 제주국제컨벤션센터(ICC JEJU))
권호 26권 1호
발표분야 포스터-생물공학
제목 Statistical Medium Optimization for minimizing iron precipitates formation and maximizing ferrous ion oxidation rate by Acidithiobacillus ferrooxidans
초록 The aim of this study was to develop a culture medium to minimize the formation of ferric ion precipitates, jarosite, and maximize ferrous ion oxidation rate by the chemolithoautotrophic bacteria, Acidithiobacillus ferrooxidans. For this purpose, statistical medium optimization was performed using a central composite design of the response surface methodology (RSM). Two responses of ferric ion concentration and ferrous ion oxidation rate were predicted with a cubic model of four factors, the initial concentrations of KCl, MgSO4·7H2O, and (NH4)2HPO4 and the initial pH of the medium. As a results of RSM, it was predicted that the ferric ion concentration and iron oxidation rate would be maximized when the initial pH and initial concentrations of KCl, MgSO4·7H2O and (NH4)2HPO4 were 1.791, 0.134g/L, 0.161g/L, and 1.547g/L, respectively. The prediction was validated by batch culture of A. ferrooxidans under optimized conditions and showed a 95% and 130% of consistency on each response.
저자 김겸민1, 정용배1, 문명훈2, 김태완1
소속 1전남대, 2한국에너지기술(연)
키워드 acidithiobacillus ferrooxidans; medium optimization; iron oxidation
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