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Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors

Diagnosis of cancer using electroanalytical methods can be achieved at low cost and in rapid assays, but this may require the combination with data treatment for determining biomarkers in real samples. In this paper, we report an immunomagnetic nanoparticle-based microfluidic sensor (INμ-SPCE) for t...

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Autores principales: Proença, Camila A, Freitas, Tayane A, Baldo, Thaísa A, Materón, Elsa M, Shimizu, Flávio M, Ferreira, Gabriella R, Soares, Frederico L F, Faria, Ronaldo C, Oliveira, Osvaldo N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880837/
https://www.ncbi.nlm.nih.gov/pubmed/31807403
http://dx.doi.org/10.3762/bjnano.10.210
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author Proença, Camila A
Freitas, Tayane A
Baldo, Thaísa A
Materón, Elsa M
Shimizu, Flávio M
Ferreira, Gabriella R
Soares, Frederico L F
Faria, Ronaldo C
Oliveira, Osvaldo N
author_facet Proença, Camila A
Freitas, Tayane A
Baldo, Thaísa A
Materón, Elsa M
Shimizu, Flávio M
Ferreira, Gabriella R
Soares, Frederico L F
Faria, Ronaldo C
Oliveira, Osvaldo N
author_sort Proença, Camila A
collection PubMed
description Diagnosis of cancer using electroanalytical methods can be achieved at low cost and in rapid assays, but this may require the combination with data treatment for determining biomarkers in real samples. In this paper, we report an immunomagnetic nanoparticle-based microfluidic sensor (INμ-SPCE) for the amperometric detection of the prostate-specific antigen (PSA) biomarker, the data of which were treated with information visualization methods. The INμ-SPCE consists of eight working electrodes, reference and counter electrodes. On the working electrodes, magnetic nanoparticles with secondary antibodies with the enzyme horseradish peroxidase were immobilized for the indirect detection of PSA in a sandwich-type procedure. Under optimal conditions, the immunosensor could operate within a wide range from 12.5 to 1111 fg·L(−1), with a low detection limit of 0.062 fg·L(−1). Multidimensional projections combined with feature selection allowed for the distinction of cell lysates with different levels of PSA, in agreement with results from the traditional enzyme-linked immunosorbent assay. The approaches for immunoassays and data processing are generic, and therefore the strategies described here may provide a simple platform for clinical diagnosis of cancers and other types of diseases.
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spelling pubmed-68808372019-12-05 Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors Proença, Camila A Freitas, Tayane A Baldo, Thaísa A Materón, Elsa M Shimizu, Flávio M Ferreira, Gabriella R Soares, Frederico L F Faria, Ronaldo C Oliveira, Osvaldo N Beilstein J Nanotechnol Full Research Paper Diagnosis of cancer using electroanalytical methods can be achieved at low cost and in rapid assays, but this may require the combination with data treatment for determining biomarkers in real samples. In this paper, we report an immunomagnetic nanoparticle-based microfluidic sensor (INμ-SPCE) for the amperometric detection of the prostate-specific antigen (PSA) biomarker, the data of which were treated with information visualization methods. The INμ-SPCE consists of eight working electrodes, reference and counter electrodes. On the working electrodes, magnetic nanoparticles with secondary antibodies with the enzyme horseradish peroxidase were immobilized for the indirect detection of PSA in a sandwich-type procedure. Under optimal conditions, the immunosensor could operate within a wide range from 12.5 to 1111 fg·L(−1), with a low detection limit of 0.062 fg·L(−1). Multidimensional projections combined with feature selection allowed for the distinction of cell lysates with different levels of PSA, in agreement with results from the traditional enzyme-linked immunosorbent assay. The approaches for immunoassays and data processing are generic, and therefore the strategies described here may provide a simple platform for clinical diagnosis of cancers and other types of diseases. Beilstein-Institut 2019-11-06 /pmc/articles/PMC6880837/ /pubmed/31807403 http://dx.doi.org/10.3762/bjnano.10.210 Text en Copyright © 2019, Proença et al. https://creativecommons.org/licenses/by/4.0https://www.beilstein-journals.org/bjnano/termsThis is an Open Access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0). Please note that the reuse, redistribution and reproduction in particular requires that the authors and source are credited. The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: (https://www.beilstein-journals.org/bjnano/terms)
spellingShingle Full Research Paper
Proença, Camila A
Freitas, Tayane A
Baldo, Thaísa A
Materón, Elsa M
Shimizu, Flávio M
Ferreira, Gabriella R
Soares, Frederico L F
Faria, Ronaldo C
Oliveira, Osvaldo N
Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
title Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
title_full Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
title_fullStr Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
title_full_unstemmed Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
title_short Use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
title_sort use of data processing for rapid detection of the prostate-specific antigen biomarker using immunomagnetic sandwich-type sensors
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880837/
https://www.ncbi.nlm.nih.gov/pubmed/31807403
http://dx.doi.org/10.3762/bjnano.10.210
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