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Validation for quantification of immunoglobulins by Fourier transform infrared spectrometry

  • Lamia Benezzeddine-Boussaidi , Georges Cazorla and Anne-Marie Melin
Published/Copyright: December 31, 2008

Abstract

Background: The objective of this study was to develop a robust quantification method for simultaneously analyzing molecules in human plasma using the Fourier transform infrared (FT-IR) system with a partial least square (PLS) regression.

Methods: Plasma spectra were analyzed from 4000 to 500 cm−1 (with 2.0 cm−1 of resolution and 32 scans), and the molecule concentrations (IgA, IgG, IgM) were measured blindly by using a cross-validation model prepared by PLS analysis of data from 135 samples.

Results: There was a significant correlation between the FT-IR predicted concentration and the concentration obtained with the clinical reference method: R2=0.98 (IgA), R2=0.98 (IgG), and R2=0.97 (IgM). The root mean square error of prediction (RMSEP) was 0.05 g·L−1 (IgA), 0.4 g·L−1 (IgG), and 0.03 g·L−1 (IgM). Variability of inter-experimenter reproducibility was less than 2%. The interchangeability of the two methods was studied by using the Bland-Altman method.

Conclusions: Together with PLS analysis, FT-IR spectrometry appears to be an easy-to-use and accurate method to determine multianalyte concentrations in dried human plasma. It could be an alternative tool for rapidly quantifying many molecules after developing a specific predictive model.

Clin Chem Lab Med 2009;47:83–90.


Corresponding author: Georges Cazorla, Université Victor Segalen Bordeaux 2, Faculté des Sciences du Sport et de l'Éducation Physique, Laboratoire Evaluation Sport Santé, 12 Avenue Camille Julian, 33607 Pessac, France Phone: +33-5-56845227, Fax: +33-5-56845235,

Received: 2008-4-30
Accepted: 2008-9-1
Published Online: 2008-12-31
Published in Print: 2009-01-01

©2009 by Walter de Gruyter Berlin New York

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