@article{2619046f89bc43129ea2118521e70399,
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}",
note = "Funding Information: This work is supported by Academia Sinica and the Ministry of Science and Technology of Taiwan, the Republic of China (Contract No. 108-2113-M-001-005-). Dr. Chia-Ying Chen (GRC, Academia Sinica) and Ms. Chih-Ting Yang (ISS, Academia Sinica) are acknowledged for useful discussions on the analysis of data fluctuation. Mr. Ho-Wen Cheng (in Dr. Yuh-Lin Wang{\textquoteright}s laboratory, IAMS, Academia Sinica) and the AST Instruments Corporation (Taiwan exclusive distributor of HORIBA Scientific) are acknowledged for the technical support in Raman spectroscopy. Publisher Copyright: Copyright {\textcopyright} 2020 American Chemical Society.",
year = "2020",
month = oct,
day = "6",
doi = "10.1021/acs.analchem.0c00737",
language = "English",
volume = "92",
pages = "12763--12768",
journal = "Analytical Chemistry",
issn = "0003-2700",
publisher = "American Chemical Society",
number = "19",
}