Unsupervised component analysis: How to retrieve independent cont | 54164
Journal of Chromatography & Separation Techniques

Journal of Chromatography & Separation Techniques
Open Access

ISSN: 2157-7064

+44 1300 500008

Unsupervised component analysis: How to retrieve independent contributions

World Congress on Chromatography

September 21-23, 2016 Amsterdam, Netherlands

Jorge Costa Pereira

University of Coimbra, Portugal

Keynote: J Chromatogr Sep Tech

Abstract :

HPLC chromatography is a well-known standard instrumental analytical technique, widespread over all analytical labs around the world, very convenient to perform fast separation and simultaneous quantification of several analytes in several complex samples. Most convenient, reliable and roust detectors are usually related with UV-Vis detection. However, while analyzing real and complex samples, it is frequent to observe signal distortions related with analytes co-elution, spectral interference and column lack of selectivity. Is it possible to be aware of these situations and circumvent these problems? In a recent study, we suggested how to retrieve independent component contributions in spectroscopic (synchronous fluorescence) analysis of environmental samples. In this work, independent component analysis (ICA) was used in order to retrieve spectral sources and respective component contributions. However, in order to preform ICA, it was necessary to previously determine the number of independent components responsible for data spectra. Using principal object analysis (POA) we showed how it is possible to find out system independent contributions in a robust and reliable manner. With this same concept we believe it is possible to determine: 1) independent contributions, 2) their specific chromatogram, and 3) respective contributions using same approach, especially when there are evidences for co-elution profiles in (UV/Vis)-HPLC and other non-specific instrumental methods. Some examples, practical and theoretical considerations will be addressed in order to maximize the ability of unsupervised component analysis (UCA) to evaluate chromatographic response in complex systems.

Biography :

Jorge Costa Pereira has completed his BSc, MSc and PhD from the University of Coimbra. He was a BSc Fellow, an Assistant Professor and is currently a Full Professor in the Department of Chemistry, Faculty of Science and Technology at the University of Coimbra. His main work is on Chemical Analytical Control field especially, related to Statistics, Analytical Method Validation and Chemometrics. He has 28 published works in well reputed international journals and is a Member of the Editorial Board of Portuguese Electrochimica Acta.