Kao, C.-Y.C.-Y.KaoNguyen, N.-T.N.-T.NguyenLin, M.-F.M.-F.LinTsai, H.-H.H.-H.TsaiChang, C.-T.C.-T.ChangChang, L.-M.L.-M.ChangChen, P.-H.P.-H.ChenPO-HAN CHEN2019-12-202019-12-202018https://scholars.lib.ntu.edu.tw/handle/123456789/437634The Fe-CF-MCM catalyst prepared from calcium fluoride sludge (CF) was used for acetone treatment in this study. The resultant samples were characterized by X-Ray Fluorescence analysis (XRF), nitrogen adsorption/desorption isotherms (BET, Brunauer-Emmett-Teller), Scanning Electron Microscope/Energy Dispersive Spectroscopy (SEM-EDS) and Transmission Electron Microscopy (TEM). The prepared samples had high specific surface areas (763 m2g-1), large pore volumes (0.74 cm3g-1) and large pore diameters (3.97 nm). The crystal patterns of 2% Fe-CF-MCM were similar to those of the Mobil Composition of Matter (MCM-41) from the TEM image. By adding iron (Fe) as a catalyst, the conversion rate increased as the operating temperature increased. Efficiency reached 70% with 2% Fe-CF-MCM under a temperature of 400 °C. Performance assessment of the catalytic reaction in the field test, it can maintain efficiency above 95% for three days. This article will discuss the effects of operational parameters, such as contact time and mixture concentration, on the performance of Fe-CF-MCM. © 2018 IEEE.calcium fluoride; Fe-CF-MCM and catalyst[SDGs]SDG12Acetone; Calcium fluoride; Catalysis; Catalysts; Efficiency; Fluorescence; Fluorine compounds; Fluorspar; Gas adsorption; High resolution transmission electron microscopy; Iron; Iron compounds; Mesoporous materials; Scanning electron microscopy; Transmission electron microscopy; Brunauer emmett tellers; High specific surface area; Mixture concentration; Mobil composition of matters; Operating temperature; Operational parameters; Performance assessment; X ray fluorescence analysis; Waste treatmentconference paper10.1109/ICASI.2018.83943212-s2.0-85050282320https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050282320&doi=10.1109%2fICASI.2018.8394321&partnerID=40&md5=376d9d10a37fd33529bd1526430d91d2