@article{scholars10507, pages = {619--629}, publisher = {Elsevier B.V.}, journal = {Chemical Engineering Journal}, year = {2018}, title = {Carbon nanofibers based copper/zirconia catalysts for carbon dioxide hydrogenation to methanol: Effect of copper concentration}, doi = {10.1016/j.cej.2017.10.087}, note = {cited By 65}, volume = {334}, abstract = {A series of novel bimetallic copper/zirconia carbon nanofibers supported catalysts with different Cu contents (5{\^a}??25 wt) were synthesized via deposition precipitation method. The physicochemical characterization of the calcined catalysts was carried out by X-ray diffraction, inductively coupled plasma optical emission spectroscopy, N2 adsorption{\^a}??desorption, N2O chemisorption, temperature programmed reduction, X-ray photoelectron spectroscopy, high resolution transmission electron microscopy and temperature programmed CO2 desorption. Structure-reactivity correlation for catalytic hydrogenation of CO2 to methanol was discussed in details. Reaction studies revealed 15 wt as optimum Cu concentration for CO2 conversion to methanol with CO2/H2 feed volume ratio of 1:3. Cu surface area was found to play a vital role in methanol synthesis rate. CO2 conversion was observed to be directly proportional to the number of total basic sites. A comparative study of this novel catalyst with the recently reported data revealed the better CO2 conversion at relatively low reaction temperature. {\^A}{\copyright} 2017 Elsevier B.V.}, keywords = {Carbon dioxide; Carbon nanofibers; Catalysts; Copper; Desorption; High resolution transmission electron microscopy; Hydrogenation; Inductively coupled plasma; Methanol; Nanofibers; Optical emission spectroscopy; Precipitation (chemical); Synthesis gas manufacture; Temperature programmed desorption; X ray diffraction; Zirconia, Carbon dioxide hydrogenation; Cu loadings; Deposition precipitation methods; Inductively coupled plasma-optical emission spectroscopy; Methanol synthesis; Physico-chemical characterization; Slurry reactor; Temperature-programmed reduction, X ray photoelectron spectroscopy}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033554089&doi=10.1016\%2fj.cej.2017.10.087&partnerID=40&md5=3eb05777baf82dce7b51bc637fe24b6c}, issn = {13858947}, author = {Din, I. U. and Shaharun, M. S. and Naeem, A. and Tasleem, S. and Rafie Johan, M.} }