A Dynamic Data Correction Method for Enhancing Resolving Power of Integrated Spectra in Spectroscopic Analysis

Chih Hao Hsiao; Yin Hung Lai; Shu Yun Kuo; Yi Hong Cai; Cheng Huang Lin; Yi Sheng Wang

doi:10.1021/acs.analchem.0c00737

A Dynamic Data Correction Method for Enhancing Resolving Power of Integrated Spectra in Spectroscopic Analysis

Chih Hao Hsiao, Yin Hung Lai, Shu Yun Kuo, Yi Hong Cai, Cheng Huang Lin, Yi Sheng Wang^*

^*Corresponding author for this work

Department of Chemistry

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

A dynamic data correction method embedded in the process of data acquisition improves spectral quality. The method minimizes the impact of random errors in spectroscopic measurements by correcting peak positions in every single-scan spectrum. The method is fast enough to facilitate online data correction. The integration of corrected spectra improves resolving power and signal-to-noise ratio. The correction method can apply to most analytical spectra. In mass spectrometry and Raman spectroscopy, observations show that it improved the average resolving power by roughly 40-150% and revealed unresolved spectral features.

Original language	English
Pages (from-to)	12763-12768
Number of pages	6
Journal	Analytical Chemistry
Volume	92
Issue number	19
DOIs	https://doi.org/10.1021/acs.analchem.0c00737
Publication status	Published - 2020 Oct 6

ASJC Scopus subject areas

Analytical Chemistry

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10.1021/acs.analchem.0c00737

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title = "A Dynamic Data Correction Method for Enhancing Resolving Power of Integrated Spectra in Spectroscopic Analysis",

abstract = "A dynamic data correction method embedded in the process of data acquisition improves spectral quality. The method minimizes the impact of random errors in spectroscopic measurements by correcting peak positions in every single-scan spectrum. The method is fast enough to facilitate online data correction. The integration of corrected spectra improves resolving power and signal-to-noise ratio. The correction method can apply to most analytical spectra. In mass spectrometry and Raman spectroscopy, observations show that it improved the average resolving power by roughly 40-150% and revealed unresolved spectral features.",

author = "Hsiao, {Chih Hao} and Lai, {Yin Hung} and Kuo, {Shu Yun} and Cai, {Yi Hong} and Lin, {Cheng Huang} and Wang, {Yi Sheng}",

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AU - Hsiao, Chih Hao

AU - Lai, Yin Hung

AU - Kuo, Shu Yun

AU - Cai, Yi Hong

AU - Lin, Cheng Huang

AU - Wang, Yi Sheng

PY - 2020/10/6

Y1 - 2020/10/6

N2 - A dynamic data correction method embedded in the process of data acquisition improves spectral quality. The method minimizes the impact of random errors in spectroscopic measurements by correcting peak positions in every single-scan spectrum. The method is fast enough to facilitate online data correction. The integration of corrected spectra improves resolving power and signal-to-noise ratio. The correction method can apply to most analytical spectra. In mass spectrometry and Raman spectroscopy, observations show that it improved the average resolving power by roughly 40-150% and revealed unresolved spectral features.

AB - A dynamic data correction method embedded in the process of data acquisition improves spectral quality. The method minimizes the impact of random errors in spectroscopic measurements by correcting peak positions in every single-scan spectrum. The method is fast enough to facilitate online data correction. The integration of corrected spectra improves resolving power and signal-to-noise ratio. The correction method can apply to most analytical spectra. In mass spectrometry and Raman spectroscopy, observations show that it improved the average resolving power by roughly 40-150% and revealed unresolved spectral features.

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A Dynamic Data Correction Method for Enhancing Resolving Power of Integrated Spectra in Spectroscopic Analysis

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