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

Clicks: 219
ID: 113545
2019
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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.
Reference Key
kraus2019theoptimization Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sebastian Mirz,Robin Grössle,Alexander Kraus;Sebastian Mirz;Robin Grössle;Alexander Kraus;
Journal The Analyst
Year 2019
DOI
10.1039/c8an02476f
URL
https://sciprofiles.com/publication/view/675a350ba5ffbd15c32693a318255e73
Keywords
quantification ftir filters systematic effects pre optimized spectroscopic rolling circle

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