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Shin, Hyeon Suk
Lab for Nanomaterials and Nanoanalysis(LNN)
Research Interests
  • Two-dimensional materials, graphene, transition metal dichalcogenides, h-BN, heterostructure

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New approach to generalized two-dimensional correlation spectroscopy. 1: Combination of principal component analysis and two-dimensional correlation spectroscopy

Cited 44 times inthomson ciCited 44 times inthomson ci
Title
New approach to generalized two-dimensional correlation spectroscopy. 1: Combination of principal component analysis and two-dimensional correlation spectroscopy
Author
Jung, YMShin, Hyeon SukBin Kim, SNoda, I
Keywords
PCA; PCA 2D correlation spectroscopy; Principal component analysis; Two-dimensional (2D) correlation spectroscopy
Issue Date
200212
Publisher
SOC APPLIED SPECTROSCOPY
Citation
APPLIED SPECTROSCOPY, v.56, no.12, pp.1562 - 1567
Abstract
The direct combination of chemometrics and two-dimensional (2D) correlation spectroscopy is considered. The use of a reconstructed data matrix based on the significant scores and loading vectors obtained from the principal component analysis (PCA) of raw spectral data is proposed as a method to improve the data quality for 2D correlation analysis. The synthetic noisy spectra were analyzed to explore the novel possibility of the use of PCA-reconstructed spectra, which are highly noise suppressed, 2D correlation analysis of this reconstructed data matrix, instead of the raw data matrix, can significantly reduce the contribution of the noise component to the resulting 2D correlation spectra.
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DOI
http://dx.doi.org/10.1366/000370202321116020
ISSN
0003-7028
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