Optimization of MOF-235 Synthesis by Analysis of Statistical Design of Experiment

통계학적 실험계획법 해석을 통한 MOF-235 합성 최적화

  • Chung, Mingee (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)
  • 정민지 (서울과학기술대학교 화공생명공학과) ;
  • 유계상 (서울과학기술대학교 화공생명공학과)
  • Received : 2019.08.20
  • Accepted : 2019.09.04
  • Published : 2019.10.10


Statistical design of experiments was performed to optimize MOF-235 synthesis process. Concentrations of terephthalic acid (TPA), iron (III) chloride hexahydrate, N,N-dimethylformamide (DMF) and ethanol were important factors to develop the crystal structure of MOF-235. MOF-235 was synthesized with various concentrations of the listed chemicals above and the crystallinity was measured by XRD. The effect of the composition on the synthesis of MOF-235 was evaluated using a statistical analysis. For the variance analysis using F-test, the concentration of ethanol showed the greatest effect on the crystallinity and TPA the least influential. A regression model for predicting the crystallinity of MOF-235 was derived and the prediction results for two synthetic variables were presented using contour plots. Finally, the crystallinity was predicted by a mixture method with $FeCl_3$, ethanol and DMF.


Supported by : 서울과학기술대학교


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