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ACS Appl Mater Interfaces ; 14(5): 7321-7328, 2022 Feb 09.
Artículo en Inglés | MEDLINE | ID: mdl-35080838

RESUMEN

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.


Asunto(s)
Bacillus coagulans/aislamiento & purificación , Técnicas Electroquímicas/métodos , Hidrogeles/química , Aprendizaje Automático , Streptococcus thermophilus/aislamiento & purificación , Aleaciones/química , Teoría Funcional de la Densidad , Galio/química , Indio/química
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