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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de periódicopt_BR
dc.titleComparing Near-infrared Conventional Diffuse Reflectance Spectroscopy And Hyperspectral Imaging For Determination Of The Bulk Properties Of Solid Samples By Multivariate Regression: Determination Of Mooney Viscosity And Plasticity Indices Of Natural Rubberpt_BR
dc.contributor.authorda Silvapt_BR
dc.contributor.authorCarlos Juliano; Pasquinipt_BR
dc.contributor.authorCeliopt_BR
unicamp.author.emailjulianocjs@gmail.compt_BR
unicamp.authorPasquini, Celio] Univ Campinas UNICAMP, Inst Chem, BR-13084971 Campinas, SP, Brazilpt_BR
unicamp.author.external[da Silva, Carlos Julianopt
dc.subjectChemometricspt_BR
dc.subjectBarleypt_BR
dc.subjectLatexpt_BR
dc.description.abstractConventional reflectance spectroscopy (NIRS) and hyperspectral imaging (HI) in the near-infrared region (1000-2500 nm) are evaluated and compared, using, as the case study, the determination of relevant properties related to the quality of natural rubber. Mooney viscosity (MV) and plasticity indices (PI) (PI0 - original plasticity, PI30 - plasticity after accelerated aging, and PRI - the plasticity retention index after accelerated aging) of rubber were determined using multivariate regression models. Two hundred and eighty six samples of rubber were measured using conventional and hyperspectral near-infrared imaging reflectance instruments in the range of 1000-2500 nm. The sample set was split into regression (n = 191) and external validation (n = 95) sub-sets. Three instruments were employed for data acquisition: a line scanning hyperspectral camera and two conventional FT-NIR spectrometers. Sample heterogeneity was evaluated using hyperspectral images obtained with a resolution of 150 x 150 mm and principal component analysis. The probed sample area (5 cm(2); 24 000 pixels) to achieve representativeness was found to be equivalent to the average of 6 spectra for a 1 cm diameter probing circular window of one FT-NIR instrument. The other spectrophotometer can probe the whole sample in only one measurement. The results show that the rubber properties can be determined with very similar accuracy and precision by Partial Least Square (PLS) regression models regardless of whether HI-NIR or conventional FT-NIR produce the spectral datasets. The best Root Mean Square Errors of Prediction (RMSEPs) of external validation for MV, PI0, PI30, and PRI were 4.3, 1.8, 3.4, and 5.3%, respectively. Though the quantitative results provided by the three instruments can be considered equivalent, the hyperspectral imaging instrument presents a number of advantages, being about 6 times faster than conventional bulk spectrometers, producing robust spectral data by ensuring sample representativeness, and minimizing the effect of the presence of contaminants.en
dc.relation.ispartofANALYSTpt_BR
dc.publisher.countryCAMBRIDGEpt_BR
dc.publisherROYAL SOC CHEMISTRYpt_BR
dc.date.issued2015pt_BR
dc.identifier.citationComparing Near-infrared Conventional Diffuse Reflectance Spectroscopy And Hyperspectral Imaging For Determination Of The Bulk Properties Of Solid Samples By Multivariate Regression: Determination Of Mooney Viscosity And Plasticity Indices Of Natural Rubber. Royal Soc Chemistry, v. 140, p. 512-522 2015.pt_BR
dc.language.isoenpt_BR
dc.description.volume140pt_BR
dc.description.issuenumber2pt_BR
dc.description.firstpage512pt_BR
dc.description.lastpage522pt_BR
dc.rightsabertopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0003-2654pt_BR
dc.identifier.wosidWOS:000346304200016pt_BR
dc.identifier.doi10.1039/c4an00836gpt_BR
dc.identifier.urlhttp://pubs.rsc.org/en/Content/ArticleLanding/2015/AN/C4AN00836G#!divAbstractpt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorship1Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsordocumentnumberCNPq [130688/2012-6]pt
dc.date.available2016-06-07T13:22:45Z-
dc.date.accessioned2016-06-07T13:22:45Z-
dc.description.provenanceMade available in DSpace on 2016-06-07T13:22:45Z (GMT). No. of bitstreams: 1 wos_000346304200016.pdf: 978786 bytes, checksum: c8d208ea94381674bdd8ab8e4312b37f (MD5) Previous issue date: 2015en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/243252-
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