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dc.creatorSavović, Jelena
dc.creatorPavlović, Mirjana S.
dc.creatorStoiljković, Milovan
dc.creatorKuzmanović, Miroslav M.
dc.creatorMomčilović, Miloš
dc.creatorVasic, V.
dc.identifier.issn0584-8547 (print)
dc.description.abstractIn low temperature argon arc plasma, emission spectral lines of different analytes have characteristic radial distributions with emission maxima distributed over a wide plasma region, from the arc axis toward the arc periphery. It was assumed that the occurrence of emission maxima is a result of collective action of factors that control vaporization, dissociation, excitation, ionization and analyte transport. A statistical analysis was used to reveal a correlation between these various factors and a radial position of maximum emission. A regression analysis was used both for predictive and explanatory purposes: a model was built that successfully predicted analyte spatial emission characteristics, based on their physical properties and local plasma parameters, and a relative importance of proposed predictors was estimated. (C) 2012 Elsevier B.V. All rights reserved.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/172019/RS//
dc.sourceSpectrochimica Acta. Part B: Atomic Spectroscopyen
dc.subjectArc plasmaen
dc.subjectEmission spectroscopyen
dc.subjectPrincipal componentsen
dc.subjectMultiple linear regressionen
dc.titleModelling the position of analyte emission maxima in low temperature direct current arc plasma using statistical proceduresen
dcterms.abstractКузмановиц, М.; Васиц, В.; Момчиловић Милош; Павловиц, М. С.; Стоиљковић Милован; Савовић Јелена;

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