Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy

Detalhes bibliográficos
Autor(a) principal: Mazur, Larize
Data de Publicação: 2014
Outros Autores: Oliveira, Gabrieli Alves de, Bicudo, Milene Oliveira Pereira, Ribani, Rosemary Hoffmann, Nagata, Noemi, Peralta-Zamora, Patrício
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/17777
Resumo: This work describes the development of a multivariate model based on near infrared reflectance spectroscopy (NIR) and partial least squares regression for the prediction of the moisture content in yerba mate samples. The multivariate model based on derivatized and multiplicative sign correction (MSC) spectral signals (4000-8500 cm-1) was elaborated with 3 latent variables, allowing the fast evaluation of the moisture content with average prediction errors of about 2.5%. The minimal manipulation of the samples permits a high analytical speed that facilitates the implementation of quality control operations. 
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spelling Multivariate calibration and moisture control in yerba mate by near infrared spectroscopyNIRonline analysisPLSR5.07.03.00-5This work describes the development of a multivariate model based on near infrared reflectance spectroscopy (NIR) and partial least squares regression for the prediction of the moisture content in yerba mate samples. The multivariate model based on derivatized and multiplicative sign correction (MSC) spectral signals (4000-8500 cm-1) was elaborated with 3 latent variables, allowing the fast evaluation of the moisture content with average prediction errors of about 2.5%. The minimal manipulation of the samples permits a high analytical speed that facilitates the implementation of quality control operations. Universidade Estadual De Maringá2014-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionespectroscopia; análise multivariada; umidadeapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1777710.4025/actascitechnol.v36i2.17777Acta Scientiarum. Technology; Vol 36 No 2 (2014); 369-374Acta Scientiarum. Technology; v. 36 n. 2 (2014); 369-3741806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/17777/12672Mazur, LarizeOliveira, Gabrieli Alves deBicudo, Milene Oliveira PereiraRibani, Rosemary HoffmannNagata, NoemiPeralta-Zamora, Patrícioinfo:eu-repo/semantics/openAccess2014-04-04T15:34:15Zoai:periodicos.uem.br/ojs:article/17777Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2014-04-04T15:34:15Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
title Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
spellingShingle Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
Mazur, Larize
NIR
online analysis
PLSR
5.07.03.00-5
title_short Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
title_full Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
title_fullStr Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
title_full_unstemmed Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
title_sort Multivariate calibration and moisture control in yerba mate by near infrared spectroscopy
author Mazur, Larize
author_facet Mazur, Larize
Oliveira, Gabrieli Alves de
Bicudo, Milene Oliveira Pereira
Ribani, Rosemary Hoffmann
Nagata, Noemi
Peralta-Zamora, Patrício
author_role author
author2 Oliveira, Gabrieli Alves de
Bicudo, Milene Oliveira Pereira
Ribani, Rosemary Hoffmann
Nagata, Noemi
Peralta-Zamora, Patrício
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Mazur, Larize
Oliveira, Gabrieli Alves de
Bicudo, Milene Oliveira Pereira
Ribani, Rosemary Hoffmann
Nagata, Noemi
Peralta-Zamora, Patrício
dc.subject.por.fl_str_mv NIR
online analysis
PLSR
5.07.03.00-5
topic NIR
online analysis
PLSR
5.07.03.00-5
description This work describes the development of a multivariate model based on near infrared reflectance spectroscopy (NIR) and partial least squares regression for the prediction of the moisture content in yerba mate samples. The multivariate model based on derivatized and multiplicative sign correction (MSC) spectral signals (4000-8500 cm-1) was elaborated with 3 latent variables, allowing the fast evaluation of the moisture content with average prediction errors of about 2.5%. The minimal manipulation of the samples permits a high analytical speed that facilitates the implementation of quality control operations. 
publishDate 2014
dc.date.none.fl_str_mv 2014-04-04
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
espectroscopia; análise multivariada; umidade
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/17777
10.4025/actascitechnol.v36i2.17777
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/17777
identifier_str_mv 10.4025/actascitechnol.v36i2.17777
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/17777/12672
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 36 No 2 (2014); 369-374
Acta Scientiarum. Technology; v. 36 n. 2 (2014); 369-374
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
_version_ 1799315334996426752

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