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Analytical and Bioanalytical Chemistry

, Volume 382, Issue 6, pp 1380–1388 | Cite as

Three-way partial least-squares regression for the simultaneous kinetic-enzymatic determination of xanthine and hypoxanthine in human urine

  • José Manuel Amigo
  • Jordi CoelloEmail author
  • Santiago Maspoch
Original Paper

Abstract

The performance of three-way principal component analysis and three-way partial least-squares regression when applied to a complex kinetic-enzymatic system is studied, in order to investigate the analytical potential of the combined use of these chemometric technologies for non-selective enzymatic systems. A enzymatic-kinetic procedure for the simultaneous determination of hypoxanthine and xanthine in spiked samples of human urine is proposed. The chemical system involves two consecutive reactions catalyzed by xanthine oxidase (EC 1.17.3.2). This enzyme catalyzes the oxidation of hypoxanthine, first to xanthine and then to uric acid, a competitive inhibitor of the reactions. The influence of uric acid during quantitative determination was considered in the design of the calibration set. The sample and enzyme solution were mixed in a stopped-flow module and the reaction was monitored using a diode array spectrophotometer. The recorded data have an intrinsical three-component structure (samples, time and wavelength). This data array was studied via three-way principal component analysis and was modeled for quantitative purposes using a three-way partial least-squares calibration procedure. Results are compared with those obtained by applying classical bilinear PLS to the previously unfolded data matrix.

Keywords

Oxipurines Urine analysis Three-way principal component analysis Three-way partial least-squares regression Simultaneous kinetic determination 

Notes

Acknowledgements

The authors gratefully acknowledge the financial support of this work by the Ministerio de Ciencia y Tecnología (DGI BQU2001–2019) and the Comissionat per a Universitats i Recerca of the Generalitat de Catalunya (2001-SGR-00176).

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Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • José Manuel Amigo
    • 1
  • Jordi Coello
    • 1
    Email author
  • Santiago Maspoch
    • 1
  1. 1.Universitat Autónoma de BarcelonaBarcelonaSpain

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