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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/59228
Title: Background Correction and Multivariate Curve Resolution of Online Liquid Chromatography with Infrared Spectrometric Detection
Authors: Kuligowski, Julia; Quintas, Guillermo; Tauler, Romà; Lendl, Bernhard; De la Guardia, Miguel
Issue Date: 2011
Publisher: American Chemical Society
Citation: Analytical Chemistry - Columbus 83 (12) : 4855–4862 (2011)
Abstract: The use of multivariate curve resolution–alternating least-squares (MCR-ALS) in liquid chromatography–infrared detection (LC-IR) is troublesome due to the intense background absorption changes during gradient elution. Its use has been facilitated by previous removal of a significant part of the solvent background IR contributions due to common mobile phase systems employed during reversed phase gradient applications. Two straightforward background correction approaches based on simple-to-use interactive self-modeling mixture analysis (SIMPLISMA) and principal component analysis (PCA) are proposed and evaluated on reversed phase gradient LC-IR data sets obtained during the analysis of carbohydrate and nitrophenol mixtures. After subtraction of the calculated background signal, MCR-ALS provided improved signal-to-noise ratios, removed remaining mobile phase and background signal contributions, and resolved overlapping chromatographic peaks. The present approach tends to enable easy-to-use background correction to facilitate the use of MCR-ALS in online LC-IR, even in challenging situations when gradient conditions are employed and only poor chromatographic resolution is achieved. It, therefore, shows great potential to facilitate the full exploitation of the advantages of simultaneous quantification and identification of a vast amount of analytes employing online IR detection, making new exciting applications more accessible.
Description: J.K. acknowledges the “V Segles” grant provided by the University of Valencia to carry out this study. Authors acknowledge the financial support of Ministerio de Educación y Ciencia (Projects AGL2007-64567 and CTQ2008-05719/BQU) and Conselleria d'Educació de la Generalitat Valenciana (Project PROMETEO 2010-055).
Publisher version (URL): http://dx.doi.org/10.1021/ac2004407
URI: http://hdl.handle.net/10261/59228
DOI: 10.1021/ac2004407
ISSN: 0003-270
E-ISSN: 1520-6882
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