Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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/30133 |
Resumo: | High productivity and meantime perishability of in natura eggs, make powdered egg attractive for patisseries and pasta industries. Water reduction in 65%, extends shelf life from 1 to 12 months, preventing also Salmonella. Maximum powdered egg moisture allowed by Brazilian law is 6.0% (w w-1). However, its determination by reference technique (oven at 105ºC for 8 hour) is lengthy for processing industry. Therefore, the purpose of this study was to investigate the influence of several spectral pre-processing techniques in the application of near-infrared spectroscopy associated with chemometrics models for determination of moisture content in powdered egg, without the need of sample preparation and destruction, held at 0.5 min. Several pre-treatment techniques were evaluated to ensure spectral data reliability such as: standard normal variation; multiplicative scatter correction; smoothing and detrend. The principal component regression (PCR) and partial least squares (PLS) were evaluated with and without pre-treatment. The best results were observed in NIR/PLS model (49 samples), providing an adequate correlation (r) of 0.96, for cross-validation. Using 21 samples as prediction set, NIR/PLS showed relative error (RE) < 2.0%, compared to primary methods oven and thermobalance, indicating to be suitable for industrial quality control. |
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Acta scientiarum. Technology (Online) |
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Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial eggchemometricsnear-infrared spectroscopy (NIRS)thermobalanceoven reference methodcalibration modelPLS.Química Analítica High productivity and meantime perishability of in natura eggs, make powdered egg attractive for patisseries and pasta industries. Water reduction in 65%, extends shelf life from 1 to 12 months, preventing also Salmonella. Maximum powdered egg moisture allowed by Brazilian law is 6.0% (w w-1). However, its determination by reference technique (oven at 105ºC for 8 hour) is lengthy for processing industry. Therefore, the purpose of this study was to investigate the influence of several spectral pre-processing techniques in the application of near-infrared spectroscopy associated with chemometrics models for determination of moisture content in powdered egg, without the need of sample preparation and destruction, held at 0.5 min. Several pre-treatment techniques were evaluated to ensure spectral data reliability such as: standard normal variation; multiplicative scatter correction; smoothing and detrend. The principal component regression (PCR) and partial least squares (PLS) were evaluated with and without pre-treatment. The best results were observed in NIR/PLS model (49 samples), providing an adequate correlation (r) of 0.96, for cross-validation. Using 21 samples as prediction set, NIR/PLS showed relative error (RE) < 2.0%, compared to primary methods oven and thermobalance, indicating to be suitable for industrial quality control.Universidade Estadual De Maringá2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAnálise espectroscópicaapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/3013310.4025/actascitechnol.v40i1.30133Acta Scientiarum. Technology; Vol 40 (2018): Publicação Contínua; e30133Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e301331806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30133/pdfCopyright (c) 2017 Acta Scientiarum. Technologyinfo:eu-repo/semantics/openAccessWatanabe, Lycio ShinjiBovolenta, Yuri RenanAcquaro Junior, Vinicius RicardoBarbin, Douglas FernandesMadeira, Tiago BervelieriNixdorf, Suzana Lucy2019-07-17T11:53:47Zoai:periodicos.uem.br/ojs:article/30133Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2019-07-17T11:53:47Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
title |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
spellingShingle |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg Watanabe, Lycio Shinji chemometrics near-infrared spectroscopy (NIRS) thermobalance oven reference method calibration model PLS. Química Analítica |
title_short |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
title_full |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
title_fullStr |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
title_full_unstemmed |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
title_sort |
Investigation of NIR spectra pre-processing methods combined with multivariate regression for determination of moisture in powdered industrial egg |
author |
Watanabe, Lycio Shinji |
author_facet |
Watanabe, Lycio Shinji Bovolenta, Yuri Renan Acquaro Junior, Vinicius Ricardo Barbin, Douglas Fernandes Madeira, Tiago Bervelieri Nixdorf, Suzana Lucy |
author_role |
author |
author2 |
Bovolenta, Yuri Renan Acquaro Junior, Vinicius Ricardo Barbin, Douglas Fernandes Madeira, Tiago Bervelieri Nixdorf, Suzana Lucy |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Watanabe, Lycio Shinji Bovolenta, Yuri Renan Acquaro Junior, Vinicius Ricardo Barbin, Douglas Fernandes Madeira, Tiago Bervelieri Nixdorf, Suzana Lucy |
dc.subject.por.fl_str_mv |
chemometrics near-infrared spectroscopy (NIRS) thermobalance oven reference method calibration model PLS. Química Analítica |
topic |
chemometrics near-infrared spectroscopy (NIRS) thermobalance oven reference method calibration model PLS. Química Analítica |
description |
High productivity and meantime perishability of in natura eggs, make powdered egg attractive for patisseries and pasta industries. Water reduction in 65%, extends shelf life from 1 to 12 months, preventing also Salmonella. Maximum powdered egg moisture allowed by Brazilian law is 6.0% (w w-1). However, its determination by reference technique (oven at 105ºC for 8 hour) is lengthy for processing industry. Therefore, the purpose of this study was to investigate the influence of several spectral pre-processing techniques in the application of near-infrared spectroscopy associated with chemometrics models for determination of moisture content in powdered egg, without the need of sample preparation and destruction, held at 0.5 min. Several pre-treatment techniques were evaluated to ensure spectral data reliability such as: standard normal variation; multiplicative scatter correction; smoothing and detrend. The principal component regression (PCR) and partial least squares (PLS) were evaluated with and without pre-treatment. The best results were observed in NIR/PLS model (49 samples), providing an adequate correlation (r) of 0.96, for cross-validation. Using 21 samples as prediction set, NIR/PLS showed relative error (RE) < 2.0%, compared to primary methods oven and thermobalance, indicating to be suitable for industrial quality control. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Análise espectroscópica |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30133 10.4025/actascitechnol.v40i1.30133 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/30133 |
identifier_str_mv |
10.4025/actascitechnol.v40i1.30133 |
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/30133/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Acta Scientiarum. Technology |
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 40 (2018): Publicação Contínua; e30133 Acta Scientiarum. Technology; v. 40 (2018): Publicação Contínua; e30133 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_ |
1799315336331264000 |