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

Nistor, Catalin LU ; Christensen, J; Ocio, N; Norgaard, L and Emnéus, Jenny LU (2004) In Analytical and Bioanalytical Chemistry 380(7-8). p.898-907
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... (More)
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-dinitro-phenol (2,4-DNP) and 4-nitrophenol (4-NP) was possible with a prediction concentration error of 1.4 muM and 72 muM, respectively. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Analytical and Bioanalytical Chemistry
volume
380
issue
7-8
pages
898 - 907
publisher
Springer
external identifiers
  • wos:000226095400008
  • pmid:15568136
  • scopus:13844257639
ISSN
1618-2642
DOI
10.1007/s00216-004-2865-x
language
English
LU publication?
yes
id
6c326416-e8f4-46df-8e39-3fb6cdcd3eb6 (old id 151164)
date added to LUP
2007-06-27 13:39:04
date last changed
2017-01-01 04:31:25
@article{6c326416-e8f4-46df-8e39-3fb6cdcd3eb6,
  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-dinitro-phenol (2,4-DNP) and 4-nitrophenol (4-NP) was possible with a prediction concentration error of 1.4 muM and 72 muM, respectively.},
  author       = {Nistor, Catalin and Christensen, J and Ocio, N and Norgaard, L and Emnéus, Jenny},
  issn         = {1618-2642},
  language     = {eng},
  number       = {7-8},
  pages        = {898--907},
  publisher    = {Springer},
  series       = {Analytical and Bioanalytical Chemistry},
  title        = {Multivariate analysis to separate the signal given by cross-reactants in immunoassay with sample matrix dilution},
  url          = {http://dx.doi.org/10.1007/s00216-004-2865-x},
  volume       = {380},
  year         = {2004},
}