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Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models

Diagnostic devices for point-of-care (POC) urine analysis (urinalysis) based on microfluidic technology have been actively developing for several decades as an alternative to laboratory based biochemical assays. Urine proteins (albumin, immunoglobulins, uromodulin, haemoglobin etc.) are important bi...

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Autores principales: Mukhin, Nikolay, Konoplev, Georgii, Oseev, Aleksandr, Schmidt, Marc-Peter, Stepanova, Oksana, Kozyrev, Andrey, Dmitriev, Alexander, Hirsch, Soeren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038679/
https://www.ncbi.nlm.nih.gov/pubmed/33917374
http://dx.doi.org/10.3390/s21072555
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author Mukhin, Nikolay
Konoplev, Georgii
Oseev, Aleksandr
Schmidt, Marc-Peter
Stepanova, Oksana
Kozyrev, Andrey
Dmitriev, Alexander
Hirsch, Soeren
author_facet Mukhin, Nikolay
Konoplev, Georgii
Oseev, Aleksandr
Schmidt, Marc-Peter
Stepanova, Oksana
Kozyrev, Andrey
Dmitriev, Alexander
Hirsch, Soeren
author_sort Mukhin, Nikolay
collection PubMed
description Diagnostic devices for point-of-care (POC) urine analysis (urinalysis) based on microfluidic technology have been actively developing for several decades as an alternative to laboratory based biochemical assays. Urine proteins (albumin, immunoglobulins, uromodulin, haemoglobin etc.) are important biomarkers of various pathological conditions and should be selectively detected by urinalysis sensors. The challenge is a determination of different oligomeric forms of the same protein, e.g., uromodulin, which have similar bio-chemical affinity but different physical properties. For the selective detection of different types of proteins, we propose to use a shear bulk acoustic resonator sensor with an additional electrode on the upper part of the bioliquid-filled channel for protein electric field manipulation. It causes modulation of the protein concentration over time in the near-surface region of the acoustic sensor, that allows to distinguish proteins based on their differences in diffusion coefficients (or sizes) and zeta-potentials. Moreover, in order to improve the sensitivity to density, we propose to use structured sensor interface. A numerical study of this approach for the detection of proteins was carried out using the example of albumin, immunoglobulin, and oligomeric forms of uromodulin in model urine solutions. In this contribution we prove the proposed concept with numerical studies for the detection of albumin, immunoglobulin, and oligomeric forms of uromodulin in urine models.
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spelling pubmed-80386792021-04-12 Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models Mukhin, Nikolay Konoplev, Georgii Oseev, Aleksandr Schmidt, Marc-Peter Stepanova, Oksana Kozyrev, Andrey Dmitriev, Alexander Hirsch, Soeren Sensors (Basel) Article Diagnostic devices for point-of-care (POC) urine analysis (urinalysis) based on microfluidic technology have been actively developing for several decades as an alternative to laboratory based biochemical assays. Urine proteins (albumin, immunoglobulins, uromodulin, haemoglobin etc.) are important biomarkers of various pathological conditions and should be selectively detected by urinalysis sensors. The challenge is a determination of different oligomeric forms of the same protein, e.g., uromodulin, which have similar bio-chemical affinity but different physical properties. For the selective detection of different types of proteins, we propose to use a shear bulk acoustic resonator sensor with an additional electrode on the upper part of the bioliquid-filled channel for protein electric field manipulation. It causes modulation of the protein concentration over time in the near-surface region of the acoustic sensor, that allows to distinguish proteins based on their differences in diffusion coefficients (or sizes) and zeta-potentials. Moreover, in order to improve the sensitivity to density, we propose to use structured sensor interface. A numerical study of this approach for the detection of proteins was carried out using the example of albumin, immunoglobulin, and oligomeric forms of uromodulin in model urine solutions. In this contribution we prove the proposed concept with numerical studies for the detection of albumin, immunoglobulin, and oligomeric forms of uromodulin in urine models. MDPI 2021-04-06 /pmc/articles/PMC8038679/ /pubmed/33917374 http://dx.doi.org/10.3390/s21072555 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mukhin, Nikolay
Konoplev, Georgii
Oseev, Aleksandr
Schmidt, Marc-Peter
Stepanova, Oksana
Kozyrev, Andrey
Dmitriev, Alexander
Hirsch, Soeren
Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models
title Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models
title_full Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models
title_fullStr Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models
title_full_unstemmed Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models
title_short Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models
title_sort label-free protein detection by micro-acoustic biosensor coupled with electrical field sorting. theoretical study in urine models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8038679/
https://www.ncbi.nlm.nih.gov/pubmed/33917374
http://dx.doi.org/10.3390/s21072555
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