Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration

<abstract language="eng">The validation of an analytical procedure must be certified through the determination of parameters known as figures of merit. For first order data, the acuracy, precision, robustness and bias is similar to the methods of univariate calibration. Linearity, se...

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Main Authors: Patrícia Valderrama, Jez W. B. Braga, Ronei J. Poppi
Format: Article
Language:English
Published: Sociedade Brasileira de Química 2009-01-01
Series:Química Nova
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422009000500034
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spelling doaj-bcabac80c3d0464f9219217fe597baea2020-11-24T22:45:14ZengSociedade Brasileira de QuímicaQuímica Nova0100-40421678-70642009-01-013251278128710.1590/S0100-40422009000500034Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibrationPatrícia ValderramaJez W. B. BragaRonei J. Poppi<abstract language="eng">The validation of an analytical procedure must be certified through the determination of parameters known as figures of merit. For first order data, the acuracy, precision, robustness and bias is similar to the methods of univariate calibration. Linearity, sensitivity, signal to noise ratio, adjustment, selectivity and confidence intervals need different approaches, specific for multivariate data. Selectivity and signal to noise ratio are more critical and they only can be estimated by means of the calculation of the net analyte signal. In second order calibration, some differentes approaches are necessary due to data structure.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422009000500034figures of meritmultivariate calibrationnet analyte signal
collection DOAJ
language English
format Article
sources DOAJ
author Patrícia Valderrama
Jez W. B. Braga
Ronei J. Poppi
spellingShingle Patrícia Valderrama
Jez W. B. Braga
Ronei J. Poppi
Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration
Química Nova
figures of merit
multivariate calibration
net analyte signal
author_facet Patrícia Valderrama
Jez W. B. Braga
Ronei J. Poppi
author_sort Patrícia Valderrama
title Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration
title_short Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration
title_full Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration
title_fullStr Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration
title_full_unstemmed Estado da arte de figuras de mérito em calibração multivariada State of the art of figures of merit in multivariate calibration
title_sort estado da arte de figuras de mérito em calibração multivariada state of the art of figures of merit in multivariate calibration
publisher Sociedade Brasileira de Química
series Química Nova
issn 0100-4042
1678-7064
publishDate 2009-01-01
description <abstract language="eng">The validation of an analytical procedure must be certified through the determination of parameters known as figures of merit. For first order data, the acuracy, precision, robustness and bias is similar to the methods of univariate calibration. Linearity, sensitivity, signal to noise ratio, adjustment, selectivity and confidence intervals need different approaches, specific for multivariate data. Selectivity and signal to noise ratio are more critical and they only can be estimated by means of the calculation of the net analyte signal. In second order calibration, some differentes approaches are necessary due to data structure.
topic figures of merit
multivariate calibration
net analyte signal
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422009000500034
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