التفاصيل البيبلوغرافية
| العنوان: |
Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection |
| المؤلفون: |
Filipp V. Lavrentev (12003517), Igor S. Rumyantsev (12003520), Artemii S. Ivanov (12003523), Vladimir V. Shilovskikh (4734330), Olga Yu. Orlova (8316030), Konstantin G. Nikolaev (5469929), Daria V. Andreeva (2381659), Ekaterina V. Skorb (2060947) |
| سنة النشر: |
2022 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Biotechnology, Ecology, Science Policy, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, multilayer perceptron model, environmentally sensitive microorganisms, electrochemical platform facilitates, detecting bacterial concentrations, electrochemical platform based, bacillus coagulans bacteria, 8 , 4 , soft hydrogel actuator, assisted bacteria detection, soft hydrogel, based device, based actuators, various mediums, streptococcus thermophilus, special environment, ml range, high accuracy, extremely important, existing tests, environmental science, easy biodetection, easy analysis, detection time |
| الوصف: |
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 10 4 to 10 8 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. |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/Soft_Hydrogel_Actuator_for_Fast_Machine-Learning-Assisted_Bacteria_Detection/19071832 |
| DOI: |
10.1021/acsami.1c22470.s002 |
| الاتاحة: |
https://doi.org/10.1021/acsami.1c22470.s002 |
| Rights: |
CC BY-NC 4.0 |
| رقم الانضمام: |
edsbas.F8241FB7 |
| قاعدة البيانات: |
BASE |