Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection.

Journal: ACS applied materials & interfaces
PMID: 35080838

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 and 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 to 10 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.

Authors

  • Filipp V Lavrentev
    Infochemistry Scientific Center of ITMO University, Lomonosova Street 9, St. Petersburg 191002, Russia.
  • Igor S Rumyantsev
    Infochemistry Scientific Center of ITMO University, Lomonosova Street 9, St. Petersburg 191002, Russia.
  • Artemii S Ivanov
    Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544, Singapore.
  • Vladimir V Shilovskikh
    Infochemistry Scientific Center of ITMO University, Lomonosova Street 9, St. Petersburg 191002, Russia.
  • Olga Yu Orlova
    Infochemistry Scientific Center of ITMO University, Lomonosova Street 9, St. Petersburg 191002, Russia.
  • Konstantin G Nikolaev
    Infochemistry Scientific Center of ITMO University, Lomonosova Street 9, St. Petersburg 191002, Russia.
  • Daria V Andreeva
    Institute for Functional Intelligent Materials, National University of Singapore, Singapore 117544, Singapore.
  • Ekaterina V Skorb
    Infochemistry Scientific Center of ITMO University, Lomonosova Street 9, St. Petersburg 191002, Russia.

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