Gemperline, 1992 - Google Patents
Developments in nonlinear multivariate calibrationGemperline, 1992
- Document ID
- 1121085836951887347
- Author
- Gemperline P
- Publication year
- Publication venue
- Chemometrics and intelligent laboratory systems
External Links
Snippet
This paper describes ongoing efforts by researchers to develop methods for detecting, studying, and modeling nonlinear spectral response in multicomponent spectroscopic assays. Some topics for future study are also identified. Tests for detecting nonlinear regions …
- 230000018109 developmental process 0 title description 4
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
- G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light for analysing liquids, e.g. polluted water
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light using near infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection circuits for computing concentration
- G01N21/274—Calibration, base line adjustment, drift correction
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
- G01J3/28—Investigating the spectrum
- G01J3/42—Absorption spectrometry; Double beam spectrometry; Flicker spectrometry; Reflection spectrometry
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
- G01N30/02—Column chromatography
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gemperline et al. | Nonlinear multivariate calibration using principal components regression and artificial neural networks | |
Martens et al. | Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy | |
US5641962A (en) | Non linear multivariate infrared analysis method (LAW362) | |
US5459677A (en) | Calibration transfer for analytical instruments | |
Thomas | A primer on multivariate calibration | |
Haaland et al. | Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information | |
Gemperline | Developments in nonlinear multivariate calibration | |
US5121337A (en) | Method for correcting spectral data for data due to the spectral measurement process itself and estimating unknown property and/or composition data of a sample using such method | |
CA2092713C (en) | Spectral data measurement and correction | |
de Noord | The influence of data preprocessing on the robustness and parsimony of multivariate calibration models | |
EP0552291B1 (en) | Method of estimating property and/or composition data of a test sample | |
Brown | Chemical systems under indirect observation: Latent properties and chemometrics | |
Blank et al. | Nonlinear multivariate mapping of chemical data using feed-forward neural networks | |
Marbach et al. | Calibration modeling by partial least-squares and principal component regression and its optimization using an improved leverage correction for prediction testing | |
DE69837192T2 (en) | OAK METHOD FOR SPECTROGRAPHIC ANALYSIS INSTRUMENTS | |
Brenchley et al. | Wavelength selection characterization for NIR spectra | |
Westerhaus et al. | Quantitative analysis | |
Brown et al. | Chemometrics and spectral frequency selection | |
Faber et al. | Generalized rank annihilation method. II: Bias and variance in the estimated eigenvalues | |
AU689016B2 (en) | Non linear multivariate infrared analysis method | |
Hana et al. | Applying artificial neural networks. I. Estimating nicotine in tobacco from near infrared data | |
Oman et al. | Detecting and adjusting for non‐linearities in calibration of near‐infrared data using principal components | |
Kawano | Sampling and sample presentation | |
Pottel | Quantitative models for prediction of toxic component concentrations in smoke gases from FTIR spectra | |
Verdú-Andrés et al. | Correction of non-linearities in spectroscopic multivariate calibration by using transformed original variables and PLS regression |