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Issue 14, 2019
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Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing

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Abstract

Spectral pre-processing, especially baseline approximation, is a crucial part in quantitative spectroscopic applications, such as Raman or FTIR spectroscopy. Filters used for this task need to be optimized for their application, in order to achieve a sufficient baseline approximation while minimizing the distortion of the spectral lines. We propose a combined method that optimizes a rolling circle filter and quantifies the residual systematic influence on the spectral lines by a Monte Carlo approach that simulates and subsequently analyses spectra with known line properties and known maximum baseline curvature.

Graphical abstract: Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing

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Publication details

The article was received on 21 Dec 2018, accepted on 15 May 2019 and first published on 03 Jun 2019


Article type: Paper
DOI: 10.1039/C8AN02476F
Analyst, 2019,144, 4281-4287
  • Open access: Creative Commons BY license
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    Optimization and quantification of the systematic effects of a rolling circle filter for spectral pre-processing

    S. Mirz, R. Groessle and A. Kraus, Analyst, 2019, 144, 4281
    DOI: 10.1039/C8AN02476F

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