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Automated quantitative analysis of MCC-IMS spectra

dc.contributor.advisorVassilenko, Valentina
dc.contributor.advisorMora, André
dc.contributor.authorAlho, Luís Miguel Pereira Domingues
dc.date.accessioned2015-05-14T14:10:37Z
dc.date.available2015-05-14T14:10:37Z
dc.date.issued2014-09
dc.date.submitted2015-05
dc.description.abstractIon Mobility Spectrometry coupled with Multi Capillary Columns (MCC -IMS) is a fast analytical technique working at atmospheric pressure with high sensitivity and selectivity making it suitable for the analysis of complex biological matrices. MCC-IMS analysis generates its information through a 3D spectrum with peaks, corresponding to each of the substances detected, providing quantitative and qualitative information. Sometimes peaks of different substances overlap, making the quantification of substances present in the biological matrices a difficult process. In the present work we use peaks of isoprene and acetone as a model for this problem. These two volatile organic compounds (VOCs) that when detected by MCC-IMS produce two overlapping peaks. In this work it’s proposed an algorithm to identify and quantify these two peaks. This algorithm uses image processing techniques to treat the spectra and to detect the position of the peaks, and then fits the data to a custom model in order to separate the peaks. Once the peaks are separated it calculates the contribution of each peak to the data.por
dc.identifier.urihttp://hdl.handle.net/10362/14959
dc.language.isoengpor
dc.subjectIon Mobility Spectrometry (IMS)por
dc.subjectMulticapillary columns (MCC)por
dc.subjectImage processingpor
dc.subjectVolatile Organic Compounds (VOCs)por
dc.subjectQuantificationpor
dc.subjectSurface fittingpor
dc.titleAutomated quantitative analysis of MCC-IMS spectrapor
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspor
rcaap.typemasterThesispor
thesis.degree.disciplineEngenharia Biomédicapor
thesis.degree.levelGrau de Mestrepor
thesis.degree.nameDissertaçãopor

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