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

• Autorzy: Urban J. , Vaněk J. , Štys D.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

LC-MS; mobile phase; systemic noise; baseline removal; adaptive thresholding

• Wydawca: University of Silesia in Katowice ; Akademiai Kiado
• Czasopismo: Acta Chromatographica
• Rocznik: 2013
• Tom: Vol. 25, no. 2
• Strony: 257--273
• Opis fizyczny: Bibliogr. 53 poz., rys., tab.

Twórcy

autor

Urban J.

• University of South Bohemia in Ceske Budejovice Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, School of Complex Systems (former Institute of Physical Biology), Laboratory of Applied System Biology Zamek 136 Nove Hrady 373 33 Czech Republic

autor

Vaněk J.

• University of South Bohemia in Ceske Budejovice Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, School of Complex Systems (former Institute of Physical Biology), Laboratory of Applied System Biology Zamek 136 Nove Hrady 373 33 Czech Republic

autor

Štys D.

• University of South Bohemia in Ceske Budejovice Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, School of Complex Systems (former Institute of Physical Biology), Laboratory of Applied System Biology Zamek 136 Nove Hrady 373 33 Czech Republic

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