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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
24/02/1999 |
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Data da última atualização: |
09/08/2023 |
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Autoria: |
BARNES, R. J.; DHANOA, M. S.; LISTER, S. J. |
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Título: |
Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. |
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Ano de publicação: |
1989 |
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Fonte/Imprenta: |
Applied Spectroscopy, v. 43, n. 5, p. 772-777, 1989. |
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DOI: |
https://doi.org/10.1366/0003702894202201 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Particle size, scatter, and multi-collinearity are long-standing problems encountered in diffuse reflectance spectrometry. Multiplicative combinations of these effects are the major factor inhibiting the interpretation of near-infrared diffuse reflectance spectra. Sample particle size accounts for the majority of the variance, while variance due to chemical composition is small. Procedures are presented whereby physical and chemical variance can be separated. Mathematical transformations?standard normal variate (SNV) and de-trending (DT)?applicable to individual NIR diffuse reflectance spectra are presented. The standard normal variate approach effectively removes the multiplicative interferences of scatter and particle size. De-trending accounts for the variation in baseline shift and curvilinearity, generally found in the reflectance spectra of powdered or densely packed samples, with the use of a second-degree polynomial regression. NIR diffuse reflectance spectra transposed by these methods are free from multi-collinearity and are not confused by the complexity of shape encountered with the use of derivative spectroscopy. |
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Palavras-Chave: |
De-trending; NIRS; SNV; Transformacao. |
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Thesaurus Nal: |
Near-infrared spectroscopy. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 01816naa a2200217 a 4500
001 1523978
005 2023-08-09
008 1989 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1366/0003702894202201$2DOI
100 1 $aBARNES, R. J.
245 $aStandard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra.$h[electronic resource]
260 $c1989
520 $aAbstract: Particle size, scatter, and multi-collinearity are long-standing problems encountered in diffuse reflectance spectrometry. Multiplicative combinations of these effects are the major factor inhibiting the interpretation of near-infrared diffuse reflectance spectra. Sample particle size accounts for the majority of the variance, while variance due to chemical composition is small. Procedures are presented whereby physical and chemical variance can be separated. Mathematical transformations?standard normal variate (SNV) and de-trending (DT)?applicable to individual NIR diffuse reflectance spectra are presented. The standard normal variate approach effectively removes the multiplicative interferences of scatter and particle size. De-trending accounts for the variation in baseline shift and curvilinearity, generally found in the reflectance spectra of powdered or densely packed samples, with the use of a second-degree polynomial regression. NIR diffuse reflectance spectra transposed by these methods are free from multi-collinearity and are not confused by the complexity of shape encountered with the use of derivative spectroscopy.
650 $aNear-infrared spectroscopy
653 $aDe-trending
653 $aNIRS
653 $aSNV
653 $aTransformacao
700 1 $aDHANOA, M. S.
700 1 $aLISTER, S. J.
773 $tApplied Spectroscopy$gv. 43, n. 5, p. 772-777, 1989.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
