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dc.contributor.authorRuschel, Carla Felippi Chiellapt_BR
dc.contributor.authorHuang, Chun Tept_BR
dc.contributor.authorSamios, Dimitriospt_BR
dc.contributor.authorFerrão, Marco Flôrespt_BR
dc.contributor.authorYamamoto, Carlos Itsuopt_BR
dc.contributor.authorPlocharski, Rubia Carla Baratopt_BR
dc.date.accessioned2014-09-19T02:14:43Zpt_BR
dc.date.issued2014pt_BR
dc.identifier.issn1984-6428pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/103464pt_BR
dc.description.abstractThe aim of this work is to determine the cetane number of biodiesel/diesel blends using mid-infrared spectroscopy coupled with multivariate regression. Thirty five samples were used into the calibration set and twenty for the prediction set. The partial least squares algorithms used were: by Interval (iPLS), by Backward Interval (biPLS) and by Synergy Intervals (siPLS). In the best iPLS model was selected the spectral range 1050-1500 cm-ˡ obtained with root mean square error of prediction (RMSEP) of 0.314 and determination coefficient (r²) of 0.952 and root mean square error of cross-validation (RMSECV) of 0.728. For biPLS model the spectral range selected is a combination of several spectrum bands which showed a RMSEP of 0.353, r² of 0.960 and RMSECV of 0.664. The best model is the siPLS split the spectrum into 16 intervals and the combined spectral regions 1485-1277 cm-ˡ and 858-650 cm-ˡ presenting RMSECV = 0.642, RMSEP = 0.352 and r² = 0.962. The proposed methodology was adequate, with prediction errors less than 1%, being cleaner, faster and easy to perform.en
dc.format.mimetypeapplication/pdf
dc.language.isoporpt_BR
dc.relation.ispartofOrbital - The Electronic Journal of Chemistry. Campo Grande, MS. Vol. 6, n. 1 (Jan./Mar. 2014), p. 39-46pt_BR
dc.rightsOpen Accessen
dc.subjectBlendaspt_BR
dc.subjectEspectroscopia no infravermelhopt_BR
dc.subjectBiodieselpt_BR
dc.titleDeterminação do número de cetano de blendas de biodiesel/diesel utilizando espectroscopia no infravermelho médio e regressão multivariadapt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000918583pt_BR
dc.type.originNacionalpt_BR


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