Unsupervised Adaptive Filter for Baseline Thresholding and Elimination in Liquid Chromatography-Mass Spectrometry via Approximation of the Standard Deviation of Baseline Distribution in Retention Time Domain

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F13%3A43885199" target="_blank" >RIV/60076658:12520/13:43885199 - isvavai.cz</a>
Result on the web
<a href="http://www.akademiai.com/content/w371212023q78740/?genre=article&id=doi%3a10.1556%2fAChrom.25.2013.2.4" target="_blank" >http://www.akademiai.com/content/w371212023q78740/?genre=article&id=doi%3a10.1556%2fAChrom.25.2013.2.4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1556/AChrom.25.2013.2.4" target="_blank" >10.1556/AChrom.25.2013.2.4</a>

Result language
angličtina
Original language name
Unsupervised Adaptive Filter for Baseline Thresholding and Elimination in Liquid Chromatography-Mass Spectrometry via Approximation of the Standard Deviation of Baseline Distribution in Retention Time Domain
Original language description
The omitting presence of a baseline (background, systemic noise, mobile phase) in liquid chromatography-mass spectrometry (LC-MS) measurements impedes objective analysis. Therefore, there is a demand to remove its contribution from the signal response. Elimination of baseline contribution is justified by increasing the data mining output, both qualitatively and quantitatively. Behavior of the baseline content is not perfectly constant on the time axis, and it is often necessary to experiment with gradient changes. However, the behavior could be parametrized using a technique derived from statistical moments. In this article, we propose adaptive thresholding as an unsupervised method for baseline removal from the measurement data. Results of a real analyte measurement are discussed to illustrate its efficiency.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CB - Analytical chemistry, separation
OECD FORD branch
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Project
<a href="/en/project/ED2.1.00%2F01.0024" target="_blank" >ED2.1.00/01.0024: South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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