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A simple algorithm for despiking Raman spectra

Raman Spectroscopy is a widely used analytical technique, favoured when molecular specificity with minimal sample preparation is required. The majority of Raman instruments use charge-coupled device (ccd) detectors, these are susceptible to cosmic rays and as such multiple spurious spikes can occur...

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Bibliographic Details
Published in:Chemometrics and intelligent laboratory systems 2018-08, Vol.179, p.82-84
Main Authors: Whitaker, Darren A., Hayes, Kevin
Format: Article
Language:English
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Summary:Raman Spectroscopy is a widely used analytical technique, favoured when molecular specificity with minimal sample preparation is required. The majority of Raman instruments use charge-coupled device (ccd) detectors, these are susceptible to cosmic rays and as such multiple spurious spikes can occur in the measurement. These spikes are problematic as they may hinder subsequent analysis, particularly if multivariate data analysis is required. In this work we present a new algorithm to remove these spikes from spectra after acquisition. Specifically, our algorithm uses modified Z scores calculated from the once-differenced detrended spectrum to locate the offending spikes, followed by a simple moving average to remove them. The algorithm is very simple and its execution is essentially instantaneous, resulting in spike-free spectra with minimal distortion of actual Raman data. The presented algorithm represents an improvement on existing spike removal methods by utilising simple, easy to understand mathematical concepts, making it ideal for experts and non-experts alike. •Raman spectroscopic data can suffer from the inclusion of “spikes” due to cosmic rays.•These spikes often hinder further analyses.•We present an algorithm which automatically identifies, reduces and/or removes these spikes from Raman spectra.•The algorithm is essentially instantaneous, resulting in spike-free spectra with minimal distortion of actual Raman data.•The algorithm utilises simple, easy to understand mathematical concepts, making it ideal for experts and non-experts alike.
ISSN:0169-7439
1873-3239
DOI:10.1016/j.chemolab.2018.06.009