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...
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/7/2555 |
id |
doaj-264266c6c1d4441e88a5447357cc8bec |
---|---|
record_format |
Article |
spelling |
doaj-264266c6c1d4441e88a5447357cc8bec2021-04-06T23:01:53ZengMDPI AGSensors1424-82202021-04-01212555255510.3390/s21072555Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine ModelsNikolay Mukhin0Georgii Konoplev1Aleksandr Oseev2Marc-Peter Schmidt3Oksana Stepanova4Andrey Kozyrev5Alexander Dmitriev6Soeren Hirsch7Institute for Micro and Sensor Systems, Otto-von-Guericke-University Magdeburg, 39106 Magdeburg, GermanyDepartment of Photonics, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaFEMTO-ST Institute, CNRS UMR-6174, University Bourgogne Franche-Comté, 25000 Besançon, FranceDepartment of Engineering, University of Applied Sciences Brandenburg, 14770 Brandenburg an der Havel, GermanyDepartment of Photonics, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaDepartment of Physical Electronics and Technology, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaDepartment of Ecological Physiology, Federal State Budgetary Scientific Institution “Institute of Experimental Medicine” (FSBSI “IEM”), 197376 Saint Petersburg, RussiaDepartment of Engineering, University of Applied Sciences Brandenburg, 14770 Brandenburg an der Havel, GermanyDiagnostic 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.https://www.mdpi.com/1424-8220/21/7/2555acoustic liquid sensorshear bulk acoustic resonatorbiosensorstructured sensor interfaceelectrical field manipulationurine proteins characterisation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nikolay Mukhin Georgii Konoplev Aleksandr Oseev Marc-Peter Schmidt Oksana Stepanova Andrey Kozyrev Alexander Dmitriev Soeren Hirsch |
spellingShingle |
Nikolay Mukhin Georgii Konoplev Aleksandr Oseev Marc-Peter Schmidt Oksana Stepanova Andrey Kozyrev Alexander Dmitriev Soeren Hirsch Label-Free Protein Detection by Micro-Acoustic Biosensor Coupled with Electrical Field Sorting. Theoretical Study in Urine Models Sensors acoustic liquid sensor shear bulk acoustic resonator biosensor structured sensor interface electrical field manipulation urine proteins characterisation |
author_facet |
Nikolay Mukhin Georgii Konoplev Aleksandr Oseev Marc-Peter Schmidt Oksana Stepanova Andrey Kozyrev Alexander Dmitriev Soeren Hirsch |
author_sort |
Nikolay Mukhin |
title |
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_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_sort |
label-free protein detection by micro-acoustic biosensor coupled with electrical field sorting. theoretical study in urine models |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-04-01 |
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. |
topic |
acoustic liquid sensor shear bulk acoustic resonator biosensor structured sensor interface electrical field manipulation urine proteins characterisation |
url |
https://www.mdpi.com/1424-8220/21/7/2555 |
work_keys_str_mv |
AT nikolaymukhin labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT georgiikonoplev labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT aleksandroseev labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT marcpeterschmidt labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT oksanastepanova labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT andreykozyrev labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT alexanderdmitriev labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels AT soerenhirsch labelfreeproteindetectionbymicroacousticbiosensorcoupledwithelectricalfieldsortingtheoreticalstudyinurinemodels |
_version_ |
1721537190778896384 |