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Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone

Here we present the concept of a protein microarray-based fluorescence immunoassay for multiple biomarker detection in milk extracts by an ordinary smartphone. A multiplex immunoassay was designed on a microarray chip, having built-in positive and negative quality controls. After the immunoassay pro...

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Autores principales: Ludwig, Susann K. J., Tokarski, Christian, Lang, Stefan N., van Ginkel, Leendert A., Zhu, Hongying, Ozcan, Aydogan, Nielen, Michel W. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550345/
https://www.ncbi.nlm.nih.gov/pubmed/26308444
http://dx.doi.org/10.1371/journal.pone.0134360
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author Ludwig, Susann K. J.
Tokarski, Christian
Lang, Stefan N.
van Ginkel, Leendert A.
Zhu, Hongying
Ozcan, Aydogan
Nielen, Michel W. F.
author_facet Ludwig, Susann K. J.
Tokarski, Christian
Lang, Stefan N.
van Ginkel, Leendert A.
Zhu, Hongying
Ozcan, Aydogan
Nielen, Michel W. F.
author_sort Ludwig, Susann K. J.
collection PubMed
description Here we present the concept of a protein microarray-based fluorescence immunoassay for multiple biomarker detection in milk extracts by an ordinary smartphone. A multiplex immunoassay was designed on a microarray chip, having built-in positive and negative quality controls. After the immunoassay procedure, the 48 microspots were labelled with Quantum Dots (QD) depending on the protein biomarker levels in the sample. QD-fluorescence was subsequently detected by the smartphone camera under UV light excitation from LEDs embedded in a simple 3D-printed opto-mechanical smartphone attachment. The somewhat aberrant images obtained under such conditions, were corrected by newly developed Android-based software on the same smartphone, and protein biomarker profiles were calculated. The indirect detection of recombinant bovine somatotropin (rbST) in milk extracts based on altered biomarker profile of anti-rbST antibodies was selected as a real-life challenge. RbST-treated and untreated cows clearly showed reproducible treatment-dependent biomarker profiles in milk, in excellent agreement with results from a flow cytometer reference method. In a pilot experiment, anti-rbST antibody detection was multiplexed with the detection of another rbST-dependent biomarker, insulin-like growth factor 1 (IGF-1). Milk extract IGF-1 levels were found to be increased after rbST treatment and correlated with the results obtained from the reference method. These data clearly demonstrate the potential of the portable protein microarray concept towards simultaneous detection of multiple biomarkers. We envisage broad application of this ‘protein microarray on a smartphone’-concept for on-site testing, e.g., in food safety, environment and health monitoring.
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spelling pubmed-45503452015-09-01 Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone Ludwig, Susann K. J. Tokarski, Christian Lang, Stefan N. van Ginkel, Leendert A. Zhu, Hongying Ozcan, Aydogan Nielen, Michel W. F. PLoS One Research Article Here we present the concept of a protein microarray-based fluorescence immunoassay for multiple biomarker detection in milk extracts by an ordinary smartphone. A multiplex immunoassay was designed on a microarray chip, having built-in positive and negative quality controls. After the immunoassay procedure, the 48 microspots were labelled with Quantum Dots (QD) depending on the protein biomarker levels in the sample. QD-fluorescence was subsequently detected by the smartphone camera under UV light excitation from LEDs embedded in a simple 3D-printed opto-mechanical smartphone attachment. The somewhat aberrant images obtained under such conditions, were corrected by newly developed Android-based software on the same smartphone, and protein biomarker profiles were calculated. The indirect detection of recombinant bovine somatotropin (rbST) in milk extracts based on altered biomarker profile of anti-rbST antibodies was selected as a real-life challenge. RbST-treated and untreated cows clearly showed reproducible treatment-dependent biomarker profiles in milk, in excellent agreement with results from a flow cytometer reference method. In a pilot experiment, anti-rbST antibody detection was multiplexed with the detection of another rbST-dependent biomarker, insulin-like growth factor 1 (IGF-1). Milk extract IGF-1 levels were found to be increased after rbST treatment and correlated with the results obtained from the reference method. These data clearly demonstrate the potential of the portable protein microarray concept towards simultaneous detection of multiple biomarkers. We envisage broad application of this ‘protein microarray on a smartphone’-concept for on-site testing, e.g., in food safety, environment and health monitoring. Public Library of Science 2015-08-26 /pmc/articles/PMC4550345/ /pubmed/26308444 http://dx.doi.org/10.1371/journal.pone.0134360 Text en © 2015 Ludwig et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ludwig, Susann K. J.
Tokarski, Christian
Lang, Stefan N.
van Ginkel, Leendert A.
Zhu, Hongying
Ozcan, Aydogan
Nielen, Michel W. F.
Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone
title Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone
title_full Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone
title_fullStr Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone
title_full_unstemmed Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone
title_short Calling Biomarkers in Milk Using a Protein Microarray on Your Smartphone
title_sort calling biomarkers in milk using a protein microarray on your smartphone
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550345/
https://www.ncbi.nlm.nih.gov/pubmed/26308444
http://dx.doi.org/10.1371/journal.pone.0134360
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