ACS applied materials & interfaces, volume 14, issue 5, pages 7321-7328
Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection
Rumyantsev Igor S
1
,
Ivanov Artemii S
2, 3
,
Shilovskikh Vladimir V.
1
,
Orlova Olga Yu
1
,
Nikolaev Konstantin G
1
,
Andreeva D.V.
2, 3
,
Publication type: Journal Article
Publication date: 2022-01-26
Journal:
ACS applied materials & interfaces
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 9.5
ISSN: 19448244, 19448252
General Materials Science
Abstract
We demonstrate that our bio-electrochemical platform facilitates the reduction of detection time from the 3-day period of the existing tests to 15 min. Machine learning and robotized bioanalytical platforms require the principles such as hydrogel-based actuators for fast and easy analysis of bioactive analytes. Bacteria are fragile and environmentally sensitive microorganisms that require a special environment to support their lifecycles during analytical tests. Here, we develop a bio-electrochemical platform based on the soft hydrogel/eutectic gallium-indium alloy interface for the detection of Streptococcus thermophilus and Bacillus coagulans bacteria in various mediums. The soft hydrogel-based device is capable to support bacteria' viability during detection time. Current-voltage data are used for multilayer perceptron algorithm training. The multilayer perceptron model is capable of detecting bacterial concentrations in the 104 to 108 cfu/mL range of the culture medium or in the dairy products with high accuracy (94%). Such a fast and easy biodetection is extremely important for food and agriculture industries and biomedical and environmental science.
Citations by journals
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1
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Polymers
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Polymers
1 publication, 6.67%
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Analytical Chemistry
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1 publication, 6.67%
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1 publication, 6.67%
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1 publication, 6.67%
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Carbon
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1 publication, 6.67%
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Advanced Intelligent Systems
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Advanced Intelligent Systems
1 publication, 6.67%
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Chemistry of Materials
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Chemistry of Materials
1 publication, 6.67%
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Analytica Chimica Acta
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Analytica Chimica Acta
1 publication, 6.67%
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ACS Applied Nano Materials
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1 publication, 6.67%
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Colloid and Polymer Science
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Colloid and Polymer Science
1 publication, 6.67%
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Molecules
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Molecules
1 publication, 6.67%
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ACS applied materials & interfaces
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ACS applied materials & interfaces
1 publication, 6.67%
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Materials Today Physics
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Materials Today Physics
1 publication, 6.67%
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Materials Advances
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Materials Advances
1 publication, 6.67%
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Bulletin of the Russian Academy of Sciences: Physics
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Bulletin of the Russian Academy of Sciences: Physics
1 publication, 6.67%
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1
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Citations by publishers
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1
2
3
4
5
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American Chemical Society (ACS)
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American Chemical Society (ACS)
5 publications, 33.33%
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
3 publications, 20%
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Elsevier
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Elsevier
3 publications, 20%
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Wiley
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Wiley
1 publication, 6.67%
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Springer Nature
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Springer Nature
1 publication, 6.67%
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Royal Society of Chemistry (RSC)
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Royal Society of Chemistry (RSC)
1 publication, 6.67%
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Pleiades Publishing
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Pleiades Publishing
1 publication, 6.67%
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1
2
3
4
5
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Lavrentev F. V. et al. Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection // ACS applied materials & interfaces. 2022. Vol. 14. No. 5. pp. 7321-7328.
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Lavrentev F. V., Rumyantsev I. S., Ivanov A. S., Shilovskikh V. V., Orlova O. Yu., Nikolaev K. G., Andreeva D., Skorb E. V. Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection // ACS applied materials & interfaces. 2022. Vol. 14. No. 5. pp. 7321-7328.
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TY - JOUR
DO - 10.1021/acsami.1c22470
UR - https://doi.org/10.1021%2Facsami.1c22470
TI - Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection
T2 - ACS applied materials & interfaces
AU - Rumyantsev, Igor S
AU - Ivanov, Artemii S
AU - Orlova, Olga Yu
AU - Nikolaev, Konstantin G
AU - Shilovskikh, Vladimir V.
AU - Skorb, Ekaterina V.
AU - Lavrentev, Filipp V
AU - Andreeva, D.V.
PY - 2022
DA - 2022/01/26 00:00:00
PB - American Chemical Society (ACS)
SP - 7321-7328
IS - 5
VL - 14
SN - 1944-8244
SN - 1944-8252
ER -
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@article{2022_Lavrentev,
author = {Igor S Rumyantsev and Artemii S Ivanov and Olga Yu Orlova and Konstantin G Nikolaev and Vladimir V. Shilovskikh and Ekaterina V. Skorb and Filipp V Lavrentev and D.V. Andreeva},
title = {Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection},
journal = {ACS applied materials & interfaces},
year = {2022},
volume = {14},
publisher = {American Chemical Society (ACS)},
month = {jan},
url = {https://doi.org/10.1021%2Facsami.1c22470},
number = {5},
pages = {7321--7328},
doi = {10.1021/acsami.1c22470}
}
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Lavrentev, Filipp V., et al. “Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection.” ACS applied materials & interfaces, vol. 14, no. 5, Jan. 2022, pp. 7321-7328. https://doi.org/10.1021%2Facsami.1c22470.
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