Analytical and Bioanalytical Chemistry

, Volume 380, Issue 7–8, pp 898–907 | Cite as

Multivariate analysis to separate the signal given by cross-reactants in immunoassay with sample matrix dilution

  • Catalin Nistor
  • Jakob Christensen
  • Natalia Ocio
  • Lars Nørgaard
  • Jenny Emnéus
Original Paper
First Online:
Received:
Revised:
Accepted:

Abstract

This paper describes a new approach to achieve selectivity in an immunoassay by separating the signals given by two cross-reactive compounds present simultaneously in a complex sample matrix. The method is based on the sequential dilution of the sample containing a mixture of the two analytes, spiking each diluted sample with a reference compound, and the detection by enzyme-linked immunosorbent assay (ELISA). The obtained multivariate response was used for the individual calibrations of the assay for each of the two cross-reactants simultaneously by using principal component analysis (PCA) and partial least squares regression (PLSR) data modeling. The calibration models showed that the signal separation due the analytes 2,4-dinitrophenol (2,4-DNP) and 4-nitrophenol (4-NP) was possible with a prediction concentration error of 1.4 μM and 72 μM, respectively.

Keywords

Immunoassay Cross-reactivity Multivariate analysis 
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Notes

Acknowledgements

The authors kindly acknowledge financial support from the European Community (EC no. ENV4-CT97-0476, IC15-CT98-0119, IC15-CT98-0138, and QLK3-2000-01481), the Swedish Foundation for Strategic Environmental Research (MISTRA), the Swedish Council for Forestry and Agricultural Research (SJFR), the Swedish Research Council (Vetenskapsrådet), and the Swedish Environmental Protection Agency (NVV-Naturvårdsverket).

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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • Catalin Nistor
    • 1
  • Jakob Christensen
    • 2
  • Natalia Ocio
    • 1
  • Lars Nørgaard
    • 2
  • Jenny Emnéus
    • 1
  1. 1.Department of Analytical ChemistryLund UniversityLundSweden
  2. 2.Department of Dairy and Food ScienceThe Royal Veterinary and Agricultural UniversityCopenhagenDenmark

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