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New approaches to generalized two-dimensional correlation spectroscopy and its applications
- Jung, Young Mee;
- Noda, Isao
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148초록
This review is focused on the recent approaches to generalized 2D correlation spectroscopy, a technique widely used for the analysis of spectral data. A brief introduction of generalized 2D correlation spectroscopy is described first. Then the powerful combination of generalized 2D correlation spectroscopy and multivariate chemometircs techniques, such as the data reconstruction by principal component analysis (PCA), eigenvalue manipulation transformation (EMT), and self-modeling curve resolution (SMCR) analysis are explored. Examples of successful applications of new approaches to generalized 2D correlation spectroscopy are highlighted.
키워드
two-dimensional (2D) correlation spectroscopy; principal component analysis; eigenvalue manipulating transformation; self-modeling curve resolution; INFRARED CORRELATION SPECTROSCOPY; DEPENDENT SPECTRAL VARIATIONS; PRINCIPAL COMPONENT ANALYSIS; GEL-PERMEATION CHROMATOGRAPHY; FOURIER-TRANSFORM-RAMAN; LANGMUIR-BLODGETT-FILM; RAY ABSORPTION-SPECTROSCOPY; IR CORRELATION SPECTROSCOPY; TEMPERATURE-INDUCED CHANGES; CURVE RESOLUTION ANALYSIS
- 제목
- New approaches to generalized two-dimensional correlation spectroscopy and its applications
- 저자
- Jung, Young Mee; Noda, Isao
- 발행일
- 2006
- 유형
- Review
- 권
- 41
- 호
- 5
- 페이지
- 515 ~ 547