Xu et al., 1996 - Google Patents
Wavelength selection for simultaneous spectroscopic analysis. Experimental and theoretical studyXu et al., 1996
- Document ID
- 2266981609214919909
- Author
- Xu L
- Schechter I
- Publication year
- Publication venue
- Analytical Chemistry
External Links
Snippet
Simultaneous multicomponent analysis is usually carried out by multivariate calibration models (such as principal component regression) that utilize the full spectrum. We demonstrate, by both experimental and theoretical considerations, that better results can be …
- 238000004458 analytical method 0 title abstract description 59
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
- G01N21/27—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
-
- 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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
- G01N2021/653—Coherent methods [CARS]
-
- 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
- G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
- G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
- G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
-
- 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
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
-
- 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
- G01N27/26—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
- G01N27/28—Electrolytic cell components
- G01N27/30—Electrodes, e.g. test electrodes; Half-cells
-
- 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
- G01N21/84—Systems specially adapted for particular applications
-
- 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
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Xu et al. | Wavelength selection for simultaneous spectroscopic analysis. Experimental and theoretical study | |
Despagne et al. | Development of a robust calibration model for nonlinear in-line process data | |
Lavine et al. | Chemometrics | |
Ghasemi et al. | Genetic-algorithm-based wavelength selection in multicomponent spectrophotometric determination by PLS: application on copper and zinc mixture | |
Hoggard et al. | Impurity profiling of a chemical weapon precursor for possible forensic signatures by comprehensive two-dimensional gas chromatography/mass spectrometry and chemometrics | |
Ding et al. | Genetic algorithm-based wavelength selection for the near-infrared determination of glucose in biological matrixes: initialization strategies and effects of spectral resolution | |
Yun et al. | A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems | |
Rodionova et al. | Detection of outliers in projection-based modeling | |
Brown | Discordance between net analyte signal theory and practical multivariate calibration | |
Bertran et al. | Handling intrinsic non-linearity in near-infrared reflectance spectroscopy | |
Sáiz-Abajo et al. | Ensemble methods and data augmentation by noise addition applied to the analysis of spectroscopic data | |
Allegrini et al. | Sensitivity, prediction uncertainty, and detection limit for artificial neural network calibrations | |
Dantas Filho et al. | A strategy for selecting calibration samples for multivariate modelling | |
Arnold et al. | Pure component selectivity analysis of multivariate calibration models from near-infrared spectra | |
Chiappini et al. | Sensitivity for multivariate calibration based on multilayer perceptron artificial neural networks | |
Corro‐Herrera et al. | In‐situ monitoring of Saccharomyces cerevisiae ITV 01 bioethanol process using near‐infrared spectroscopy NIRS and chemometrics | |
Wang et al. | Multivariate calibration of near infrared spectroscopy in the presence of light scattering effect: a comparative study | |
Gargallo et al. | Application of a multivariate curve resolution procedure to the analysis of second-order melting data of synthetic and natural polynucleotides | |
Saeys et al. | Increasing robustness against changes in the interferent structure by incorporating prior information in the augmented classical least-squares framework | |
Shih et al. | Constrained regularization: Hybrid method for multivariate calibration | |
Brown et al. | Chemical information based on neural network processing of near-IR spectra | |
Spiers et al. | Calibration model updating to novel sample and measurement conditions without reference values | |
Skibsted et al. | Net analyte signal based statistical quality control | |
Despagne et al. | Optimization of partial-least-squares calibration models by simulation of instrumental perturbations | |
Czech et al. | Smart online coffee roasting process control: modelling coffee roast degree and brew antioxidant capacity for real-time prediction by resonance-enhanced multi-photon ionization mass spectrometric (REMPI-TOFMS) monitoring of roast gases |