Abstract

Nowadays, most experiments to synthesize and test photocatalytic antimicrobial materials are based on trial and error. More often than not, the mechanism of action of the antimicrobial activity is unknown for a large spectrum of microorganisms. Here, we propose a scheme to speed up the design and optimization of photocatalytic antimicrobial surfaces tailored to give a balanced production of reactive oxygen species (ROS) upon illumination. Using an experiment-to-machine-learning scheme applied to a limited experimental dataset, we built a model that can predict the photocatalytic activity of materials for antimicrobial applications over a wide range of material compositions. This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. Our strategy may significantly accelerate the large-scale deployment of photocatalysts as a promising route to mitigate fomite transmission of pathogens (bacteria, viruses, fungi) in hospital settings and public places.

Highlights

  • IntroductionCoronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is the most impactful global pandemic of the

  • Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is the most impactful global pandemic of the21st century to date and continues to infect and kill many individuals worldwide

  • Combining concepts from materials science, electrochemistry, and device physics with machine learning, we built a scheme to accelerate the estimation of reactive oxidative species (ROS) production and decomposition rates induced by photocatalytic materials upon illumination

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Summary

Introduction

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is the most impactful global pandemic of the. In crowded crowdedshopping shopping patients malls, public public restrooms, restrooms, escalator escalator handrails, handrails, food food court court trays, trays, food food court court table table surfaces, surfaces, malls, and food tray handles were previously shown to be contaminated by different bacteria and food tray handles were previously shown to be contaminated by different bacteria [9] They can be a source of infection by SARS-CoV-2 as well [10]. There there is is an an increasing increasing interest interest in in using using photocatalytic photocatalytic systems systems as as nanocoatings nanocoatings to and water [14].[14] Photoactive agents such as titanium loaded with metallic co-catalysts have been in many applications, including the (TiO2) loaded with metallic co-catalysts have tested been tested in many applications, including removal of organic contaminants [15].

Mechanism
Handling Small Dataset with Machine Learning
Dataset Preparation and ML Training
Results and Discussion
O2 production
Conclusions
Full Text
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