Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Chemical Society (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532007000200003 |
Resumo: | The determination of soluble solids (BRIX), polarizable sugars (POL) and reducing sugars (RS) sugar cane juice by using near infrared spectroscopy (NIR) and multivariate calibration was developed and validated by calculation of figures of merit. Due to the heterogeneity of the samples, first it was necessary to optimize the calibration set by outlier elimination. The figures of merit such as: sensitivity, analytical sensitivity, selectivity, confidence limit, precision (mean, repeatability), accuracy and signal-to-noise ratio were calculated. Feasible results were obtained for BRIX and POL with RMSEP values of 0.28 and 0.42% of juice and precision of 0.02 and 0.08% of juice, respectively. For both BRIX and POL goodness of fit showed correlation coefficients of 0.99. These results indicate that the models developed for BRIX and POL can be used as an alternative to standard procedures in the sugar cane industry. |
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Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopysugar canemultivariate calibrationnet analyte signalfigures of meritThe determination of soluble solids (BRIX), polarizable sugars (POL) and reducing sugars (RS) sugar cane juice by using near infrared spectroscopy (NIR) and multivariate calibration was developed and validated by calculation of figures of merit. Due to the heterogeneity of the samples, first it was necessary to optimize the calibration set by outlier elimination. The figures of merit such as: sensitivity, analytical sensitivity, selectivity, confidence limit, precision (mean, repeatability), accuracy and signal-to-noise ratio were calculated. Feasible results were obtained for BRIX and POL with RMSEP values of 0.28 and 0.42% of juice and precision of 0.02 and 0.08% of juice, respectively. For both BRIX and POL goodness of fit showed correlation coefficients of 0.99. These results indicate that the models developed for BRIX and POL can be used as an alternative to standard procedures in the sugar cane industry.Sociedade Brasileira de Química2007-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532007000200003Journal of the Brazilian Chemical Society v.18 n.2 2007reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532007000200003info:eu-repo/semantics/openAccessValderrama,PatríciaBraga,Jez W. B.Poppi,Ronei J.eng2007-06-13T00:00:00Zoai:scielo:S0103-50532007000200003Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2007-06-13T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
title |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
spellingShingle |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy Valderrama,Patrícia sugar cane multivariate calibration net analyte signal figures of merit |
title_short |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
title_full |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
title_fullStr |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
title_full_unstemmed |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
title_sort |
Validation of multivariate calibration models in the determination of sugar cane quality parameters by near infrared spectroscopy |
author |
Valderrama,Patrícia |
author_facet |
Valderrama,Patrícia Braga,Jez W. B. Poppi,Ronei J. |
author_role |
author |
author2 |
Braga,Jez W. B. Poppi,Ronei J. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Valderrama,Patrícia Braga,Jez W. B. Poppi,Ronei J. |
dc.subject.por.fl_str_mv |
sugar cane multivariate calibration net analyte signal figures of merit |
topic |
sugar cane multivariate calibration net analyte signal figures of merit |
description |
The determination of soluble solids (BRIX), polarizable sugars (POL) and reducing sugars (RS) sugar cane juice by using near infrared spectroscopy (NIR) and multivariate calibration was developed and validated by calculation of figures of merit. Due to the heterogeneity of the samples, first it was necessary to optimize the calibration set by outlier elimination. The figures of merit such as: sensitivity, analytical sensitivity, selectivity, confidence limit, precision (mean, repeatability), accuracy and signal-to-noise ratio were calculated. Feasible results were obtained for BRIX and POL with RMSEP values of 0.28 and 0.42% of juice and precision of 0.02 and 0.08% of juice, respectively. For both BRIX and POL goodness of fit showed correlation coefficients of 0.99. These results indicate that the models developed for BRIX and POL can be used as an alternative to standard procedures in the sugar cane industry. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532007000200003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532007000200003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-50532007000200003 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Journal of the Brazilian Chemical Society v.18 n.2 2007 reponame:Journal of the Brazilian Chemical Society (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Journal of the Brazilian Chemical Society (Online) |
collection |
Journal of the Brazilian Chemical Society (Online) |
repository.name.fl_str_mv |
Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
_version_ |
1750318167796744192 |