Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2009 |
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=S0103-50532009000900017 |
Resumo: | This work developed a new method for determination of dipyrone (DIP) in oral pharmaceutical formulations, through the use of near infrared (NIR) transflectance measurements and multivariate calibration. The studied range varied from 300.0 to 569.2 mg mL-1. The best PLS (partial least squares) model was obtained with two latent variables and the root mean square errors of calibration and prediction were 1.1 and 1.0 mg mL-1, respectively. The proposed method was validated in accordance with ANVISA, the Brazilian regulatory agency, and ICH, being considered selective, linear, precise, accurate and robust. By comparison with the main alternatives, iodimetric titration and HPLC, this method is simpler, non-destructive, does not use reagents or solvents and does not produce chemical waste. Besides, its rapidity is considered the major advantage over the other methods, since only about 50 s were spent per assay. |
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Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopymultivariate calibrationquality controlPLSmetamizolenear infrared spectroscopyThis work developed a new method for determination of dipyrone (DIP) in oral pharmaceutical formulations, through the use of near infrared (NIR) transflectance measurements and multivariate calibration. The studied range varied from 300.0 to 569.2 mg mL-1. The best PLS (partial least squares) model was obtained with two latent variables and the root mean square errors of calibration and prediction were 1.1 and 1.0 mg mL-1, respectively. The proposed method was validated in accordance with ANVISA, the Brazilian regulatory agency, and ICH, being considered selective, linear, precise, accurate and robust. By comparison with the main alternatives, iodimetric titration and HPLC, this method is simpler, non-destructive, does not use reagents or solvents and does not produce chemical waste. Besides, its rapidity is considered the major advantage over the other methods, since only about 50 s were spent per assay.Sociedade Brasileira de Química2009-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532009000900017Journal of the Brazilian Chemical Society v.20 n.9 2009reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.1590/S0103-50532009000900017info:eu-repo/semantics/openAccessFerreira,Marcus H.Gomes,Jorge F. F.Sena,Marcelo M.eng2011-10-14T00:00:00Zoai:scielo:S0103-50532009000900017Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2011-10-14T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
title |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
spellingShingle |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy Ferreira,Marcus H. multivariate calibration quality control PLS metamizole near infrared spectroscopy |
title_short |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
title_full |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
title_fullStr |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
title_full_unstemmed |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
title_sort |
Development and validation of a multivariate calibration model for determination of dipyrone in oral solutions by near infrared spectroscopy |
author |
Ferreira,Marcus H. |
author_facet |
Ferreira,Marcus H. Gomes,Jorge F. F. Sena,Marcelo M. |
author_role |
author |
author2 |
Gomes,Jorge F. F. Sena,Marcelo M. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ferreira,Marcus H. Gomes,Jorge F. F. Sena,Marcelo M. |
dc.subject.por.fl_str_mv |
multivariate calibration quality control PLS metamizole near infrared spectroscopy |
topic |
multivariate calibration quality control PLS metamizole near infrared spectroscopy |
description |
This work developed a new method for determination of dipyrone (DIP) in oral pharmaceutical formulations, through the use of near infrared (NIR) transflectance measurements and multivariate calibration. The studied range varied from 300.0 to 569.2 mg mL-1. The best PLS (partial least squares) model was obtained with two latent variables and the root mean square errors of calibration and prediction were 1.1 and 1.0 mg mL-1, respectively. The proposed method was validated in accordance with ANVISA, the Brazilian regulatory agency, and ICH, being considered selective, linear, precise, accurate and robust. By comparison with the main alternatives, iodimetric titration and HPLC, this method is simpler, non-destructive, does not use reagents or solvents and does not produce chemical waste. Besides, its rapidity is considered the major advantage over the other methods, since only about 50 s were spent per assay. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-01-01 |
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=S0103-50532009000900017 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532009000900017 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-50532009000900017 |
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.20 n.9 2009 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_ |
1750318170271383552 |