Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra
Joint Authors
Chen, Long
Wu, Yingwen
Li, Tianjun
Chen, Zhuo
Source
Journal of Analytical Methods in Chemistry
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Although Raman spectroscopy has been widely used as a noninvasive analytical tool in various applications, backgrounds in Raman spectra impair its performance in quantitative analysis.
Many algorithms have been proposed to separately correct the background spectrum by spectrum.
However, in real applications, there are commonly multiple spectra collected from the close locations of a sample or from the same analyte with different concentrations.
These spectra are strongly correlated and provide valuable information for more robust background correction.
Herein, we propose two new strategies to remove background for a set of related spectra collaboratively.
Based on weighted penalized least squares, the new approaches will use the fused weights from multiple spectra or the weights from the average spectrum to estimate the background of each spectrum in the set.
Background correction results from both simulated and real experimental data demonstrate that the proposed collaborative approaches outperform traditional algorithms which process spectra individually.
American Psychological Association (APA)
Chen, Long& Wu, Yingwen& Li, Tianjun& Chen, Zhuo. 2018. Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra. Journal of Analytical Methods in Chemistry،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1176625
Modern Language Association (MLA)
Chen, Long…[et al.]. Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra. Journal of Analytical Methods in Chemistry No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1176625
American Medical Association (AMA)
Chen, Long& Wu, Yingwen& Li, Tianjun& Chen, Zhuo. Collaborative Penalized Least Squares for Background Correction of Multiple Raman Spectra. Journal of Analytical Methods in Chemistry. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1176625
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176625