Literature DB >> 19117408

Validation for quantification of immunoglobulins by Fourier transform infrared spectrometry.

Lamia Benezzeddine-Boussaidi1, Georges Cazorla, Anne-Marie Melin.   

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: R(2)=0.98 (IgA), R(2)=0.98 (IgG), and R(2)=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.

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Year:  2009        PMID: 19117408     DOI: 10.1515/CCLM.2009.007

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  2 in total

1.  Use of Fourier-transform infrared spectroscopy to quantify immunoglobulin G concentrations in alpaca serum.

Authors:  J Burns; S Hou; C B Riley; R A Shaw; N Jewett; J T McClure
Journal:  J Vet Intern Med       Date:  2014-01-13       Impact factor: 3.333

2.  Evaluation of metformin hydrochloride in Wistar rats by FTIR-ATR spectroscopy: A convenient tool in the clinical study of diabetes.

Authors:  P Ramalingam; Y Padmanabha Reddy; K Vinod Kumar; Babu Rao Chandu; K Rajendran
Journal:  J Nat Sci Biol Med       Date:  2014-07
  2 in total

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