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Optimization strategy for liquid chromatography-electrospray ionization mass spectrometry methods
Mid Sweden University, Faculty of Science, Technology and Media, Department of Natural Sciences.ORCID iD: 0000-0002-3646-294X
2000 (English)In: Analyst, ISSN 0003-2654, Vol. 125, 1970-1976 p.Article in journal (Refereed) Published
Abstract [en]

A strategy for the optimization of liquid chromatography (LC)–electrospray ionization mass spectrometry methods is proposed. The optimization aims at good chromatographic quality and a high signal-to-noise ratio for the analyte. The three-step strategy comprises screening experiments, LC studies and infusion experiments, using empirical modelling to evaluate the experimental data. The optimization route was examined for three different cases: (a) estriol in a mixture of estrogens, (b) ibuprofen and related metabolites in urine and (c) morphine in the presence of codeine

Place, publisher, year, edition, pages
2000. Vol. 125, 1970-1976 p.
Keyword [en]
empirical modelling, artificial neural networks, genetic algorithms
National Category
Chemical Sciences Mathematics
Identifiers
URN: urn:nbn:se:miun:diva-2527DOI: 10.1039/b006060gLocal ID: 1782OAI: oai:DiVA.org:miun-2527DiVA: diva2:27559
Available from: 2008-09-30 Created: 2008-09-30 Last updated: 2011-01-10Bibliographically approved

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CiteExportLink to record
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Citation style
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