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Titre du document / Document title

Data treatment in near infrared spectroscopy : Near infrared - NIR

Auteur(s) / Author(s)

CHAMINADE P. (1) ; BAILLET A. (1) ; FERRIER D. (1) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Laboratoire de Chimie Analytique, Faculté de Pharmacie, 1 rue Jean-Baptiste Clément, 92296 Châtenay-Malabry, FRANCE

Résumé / Abstract

Since the last ten years, the use of near-infrared spectroscopy is increasing due to the improvement of instrumentation and software. The calculation capacity of today computers allows a promising future for this technique. According to the complexity of structural attribution of absorption bands, only a chemometric approach is able to solve qualitative and quantitative applications. Depending on spectrophotometers and analytical context, the signal treatment and the calculation strategy may vary. For an identification task, cluster analysis is built on spectral data from only a few wavelengths using disperse spectrophotometer when principal component analysis is applied on overall spectral range with interferometer based apparatus. The main quantitative calculation modes i.e. MLR, PCR and PLS are discussed.

Revue / Journal Title

Analusis    ISSN  0365-4877 

Source / Source

1998, vol. 26, no4, pp. M33-M38 (9 ref.)

Langue / Language

Anglais

Editeur / Publisher

EDP Sciences, Les Ulis, FRANCE  (1972-2000) (Revue)

Mots-clés anglais / English Keywords

Chemometrics

;

Data analysis

;

Cluster analysis

;

Principal component analysis

;

Multivariate analysis

;

Multiple regression

;

PLS regression

;

Analysis method

;

Near infrared spectrometry

;

Mots-clés français / French Keywords

Chimiométrie

;

Analyse donnée

;

Analyse amas

;

Analyse composante principale

;

Analyse multivariable

;

Régression multiple

;

Régression PLS

;

Méthode analyse

;

Spectrométrie IR proche

;

Mots-clés espagnols / Spanish Keywords

Quimiometría

;

Análisis datos

;

Analisis cluster

;

Análisis componente principal

;

Análisis multivariable

;

Regresión múltiple

;

Regresión PLS

;

Método análisis

;

Espectrometría IR próximo

;

Localisation / Location

INIST-CNRS, Cote INIST : 440, 35400007223002.0040

Nº notice refdoc (ud4) : 2312434



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