Percorrer por autor "Pinto, Ivan Moraes Costa"
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- Adsorption of pentane/hexane isomers in metal organic frameworksPublication . Pinto, Ivan Moraes Costa; Silva, José A.C.The octane improvement of gasoline without using additives is of great importance for the petrochemical industry, and for that the separation of pentane/hexane isomers by the degree of branching is an important target, because of the differences in the research octane number (RON) between di-branched>>mono-branched>>linear isomers. Because these alkanes have similar boiling points, the separation by distillation is very energy intensive and the separation by adsorption in porous solids appears to be an important efficient alternative. Currently, metal-organic frameworks (MOFs) are receiving a lot of attention for very special and difficult separations. MOFs are metal clusters with organic molecules as ligands, offering a great potential to improve the affinity and separation of paraffinic adsorbates in its pores. This work presents single component adsorption studies of all pentane and hexane isomers (n-hexane, 2-methylpentane, 3-methylpentane, 2,3-dimethylbutane, 2,2-dimethylbutane, n-pentane and iso-pentane) in MOF-α,β. For that, a breakthrough apparatus has been developed to measure adsorption isotherms at 373, 423 and 473 K and pressures up to 0.5 bar, using a frontal chromatography technique. From the data collected it was found the following hierarchical adsorption order: nC6>2MP>3MP>nC5>23MB>iC5>22DMB. The adsorption isotherms obtained experimentally were modelled through the Dual Site Langmuir isotherm (DSL) indicating that MOF-α,β contains two distinct active type of sites in its porous structure, giving rise to a promising adsorbent for separation of the isomers into classes of: linear > mono-branched > di-branched isomers, a result with a great importance for increasing the RON number of gasoline. This conclusion has been reached by the simulation of a fixed bed multicomponent experiment with all the hexane isomers using the extended DSL model for predicting multicomponent adsorption equilibria.