Multivariate analysis to separate the signal given by cross-reactants in immunoassay with sample matrix dilution
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/151164
- author
- Nistor, Catalin LU ; Christensen, J ; Ocio, N ; Norgaard, L and Emnéus, Jenny LU
- organization
- publishing date
- 2004
- 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
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Analytical Chemistry (S/LTH) (011001004)
- id
- 6c326416-e8f4-46df-8e39-3fb6cdcd3eb6 (old id 151164)
- date added to LUP
- 2016-04-01 11:46:06
- date last changed
- 2024-07-02 13:20:56
@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}}, doi = {{10.1007/s00216-004-2865-x}}, volume = {{380}}, year = {{2004}}, }