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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Sociedade Brasileira de Química
2009-01-01
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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 |
work_keys_str_mv |
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1725689548878381056 |