Journal of Applied Polymer Science, volume 139, issue 24, pages 52360
Immunochemical biosensor for single virus particle detection based on molecular crowding polyelectrolyte system
Baldina Anna A
1
,
Ivanov Artemii S
1
,
Nikitina Anna A
1
,
Rubtsova Maya Yu
2
,
Vorovitch Mikhail F
3, 4
,
Ishmukhametov Aydar A
3, 4
,
Egorov Alex M
2, 3
,
Publication type: Journal Article
Publication date: 2022-03-18
Journal:
Journal of Applied Polymer Science
Quartile SCImago
Q2
Quartile WOS
Q2
Impact factor: 3
ISSN: 00218995, 10974628
Materials Chemistry
Surfaces, Coatings and Films
General Chemistry
Polymers and Plastics
Abstract
To improve the effectiveness of the viral infection diagnostic, we offer a new approach of immunochemical biosensors to determine single viral particles by specific antibodies. The antibodies are immobilized on the electrodes in a three-dimensional polymer matrix with several layers of polyelectrolytes on the screen-printed carbon electrode. Non-covalent immobilization of antibodies in successive layers of positively charged polyethyleneimine (PEI) and negatively charged polystyrene sulfonate (PSS) achieves the effect of macromolecular crowding. Such an immobilization approach promotes the preservation of the optimal conformation and antibody active center mobility for interaction with large virion particles. We established an electrochemical biosensor for tick-borne encephalitis virus (TBEV) detection to demonstrate the method's applicability. Under the optimized architecture of the 3D-matrix, including a combination of two layers of a positively charged PEI with antibodies and the last layer of a negatively charged PSS, the assay is characterized by an extremely low limit of detection (LOD). This LOD could be as few as five viral particles in a sample volume of 5 μl, which is two orders of magnitude lower than conventional ELISA with the same reagents. The advantage of the biosensor is also a wide linear range of detection from 103 to 109 viral particles/ml. The proposed principle for determining virion particles is well suited to novel express diagnostics and Point-of-Care viral infections detection.
Citations by journals
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Polymers
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Polymers
2 publications, 100%
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2
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Citations by publishers
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
2 publications, 100%
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Baldina A. A. et al. Immunochemical biosensor for single virus particle detection based on molecular crowding polyelectrolyte system // Journal of Applied Polymer Science. 2022. Vol. 139. No. 24. p. 52360.
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Baldina A. A., Nikolaev K. G., Ivanov A. S., Nikitina A. A., Rubtsova M. Yu., Vorovitch M. F., Ishmukhametov A. A., Egorov A. M., Skorb E. V. Immunochemical biosensor for single virus particle detection based on molecular crowding polyelectrolyte system // Journal of Applied Polymer Science. 2022. Vol. 139. No. 24. p. 52360.
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TY - JOUR
DO - 10.1002/app.52360
UR - https://doi.org/10.1002%2Fapp.52360
TI - Immunochemical biosensor for single virus particle detection based on molecular crowding polyelectrolyte system
T2 - Journal of Applied Polymer Science
AU - Baldina, Anna A
AU - Ivanov, Artemii S
AU - Nikitina, Anna A
AU - Rubtsova, Maya Yu
AU - Vorovitch, Mikhail F
AU - Egorov, Alex M
AU - Skorb, Ekaterina V
AU - Ishmukhametov, Aydar A
AU - Nikolaev, Konstantin G
PY - 2022
DA - 2022/03/18 00:00:00
PB - Wiley
SP - 52360
IS - 24
VL - 139
SN - 0021-8995
SN - 1097-4628
ER -
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@article{2022_Baldina
author = {Anna A Baldina and Artemii S Ivanov and Anna A Nikitina and Maya Yu Rubtsova and Mikhail F Vorovitch and Alex M Egorov and Ekaterina V Skorb and Aydar A Ishmukhametov and Konstantin G Nikolaev},
title = {Immunochemical biosensor for single virus particle detection based on molecular crowding polyelectrolyte system},
journal = {Journal of Applied Polymer Science},
year = {2022},
volume = {139},
publisher = {Wiley},
month = {mar},
url = {https://doi.org/10.1002%2Fapp.52360},
number = {24},
pages = {52360},
doi = {10.1002/app.52360}
}
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Baldina, Anna A., et al. “Immunochemical biosensor for single virus particle detection based on molecular crowding polyelectrolyte system.” Journal of Applied Polymer Science, vol. 139, no. 24, Mar. 2022, p. 52360. https://doi.org/10.1002%2Fapp.52360.
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