dc.creatorPaschoal, J
dc.creatorBarboza, FD
dc.creatorPoppi, RJ
dc.date2003
dc.date2014-11-15T23:33:57Z
dc.date2015-11-26T16:17:06Z
dc.date2014-11-15T23:33:57Z
dc.date2015-11-26T16:17:06Z
dc.date.accessioned2018-03-28T23:01:49Z
dc.date.available2018-03-28T23:01:49Z
dc.identifierJournal Of Near Infrared Spectroscopy. N I R Publications, v. 11, n. 3, n. 211, n. 218, 2003.
dc.identifier0967-0335
dc.identifierWOS:000184903200005
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54550
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/54550
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54550
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1267554
dc.descriptionThe feasibility of using near infrared (NIR) transmission spectroscopy for rapid and conclusive determination of contaminants in lubricant oil was investigated. The NIR spectrum in the region from 1300 to 1700 nm was used to predict gasoline and ethylene glycol concentrations present in lubricant oil. A graphically-oriented local multivariate calibration modelling procedure called interval partial least-squares (iPLS) was applied to find variable intervals that featured the lowest prediction error. When compared with the full spectrum PLS model, better results were obtained through the iPLS program. High correlation coefficients and low root mean square errors of cross-validation (RMSECV) were obtained for gasoline (R = 0.98, RMSECV = 0.38%, range = 0.2-8.0% w/w) and ethylene glycol determinations (R = 0.97, RMSECV = 0.04%, range = 0.06 to 0.7% w/w), indicating that the proposed methodology can be used for contaminant determinations in lubricant oil.
dc.description11
dc.description3
dc.description211
dc.description218
dc.languageen
dc.publisherN I R Publications
dc.publisherChichester
dc.publisherInglaterra
dc.relationJournal Of Near Infrared Spectroscopy
dc.relationJ. Near Infrared Spectrosc.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectlubricant
dc.subjectcontaminants
dc.subjectnear infrared
dc.subjectmultivariate calibration
dc.subjectinterval selection
dc.subjectWavelength Selection
dc.subjectCalibration
dc.subjectRegression
dc.subjectOptimization
dc.subjectSpectrometry
dc.subjectInformation
dc.subjectExpression
dc.subjectAlgorithms
dc.titleAnalysis of contaminants in lubricant oil by near infrared spectroscopy and interval partial least-squares
dc.typeArtículos de revistas


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