Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset

Adsorption and Inactivation of SARS-CoV-2 on the Surface of Anatase TiO2(101)

We investigated the adsorption of severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), the virus responsible for the current pandemic, on the surface of the model catalyst TiO₂(101) using atomic force microscopy, transmission electron microscopy, fluorescence microscopy, and X-ray photoelectron spectroscopy, accompanied by density functional theory calculations. Three different methods were employed to inactivate the virus after it was loaded on the surface of TiO₂(101): (i) ethanol, (ii) thermal, and (iii) UV treatments. Microscopic studies demonstrate that the denatured spike proteins and other proteins in the virus structure readsorb on the surface of TiO₂ under thermal and UV treatments. The interaction of the virus with the surface of TiO₂ was different for the thermally and UV treated samples compared to the sample inactivated via ethanol treatment. AFM and TEM results on the UV-treated sample suggested that the adsorbed viral particles undergo damage and photocatalytic oxidation at the surface of TiO₂(101) which can affect the structural proteins of SARS-CoV-2 and denature the spike proteins in 30 min. The role of Pd nanoparticles (NPs) was investigated in the interaction between SARS-CoV-2 and TiO₂(101). The presence of Pd NPs enhanced the adsorption of the virus due to the possible interaction of the spike protein with the NPs. This study is the first investigation of the interaction of SARS-CoV-2 with the surface of single crystalline TiO₂(101) as a potential candidate for virus deactivation applications. Clarification of the interaction of the virus with the surface of semiconductor oxides will aid in obtaining a deeper understanding of the chemical processes involved in photoinactivation of microorganisms, which is important for the design of effective photocatalysts for air purification and self-cleaning materials.

Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: Paradigms, applications and prospects

Energy crisis and environmental pollution have become the bottleneck of human sustainable development. Therefore, there is an urgent need to develop new catalysts for energy production and environmental remediation. Due to the high cost caused by blind screening and limited valuable computing resources, the traditional experimental methods and theoretical calculations are difficult to meet with the requirements. In the past decades, computer science has made great progress, especially in the field of machine learning (ML). As a new research paradigm, ML greatly accelerates the theoretical calculation methods represented by first principal calculation and molecular dynamics, and establish the physical picture of heterogeneous catalytic processes for energy and environment. This review firstly summarized the general research paradigms of ML in the discovery of catalysts. Then, the latest progresses of ML in light-, electricity- and enzyme-mediated heterogeneous catalysis were reviewed from the perspective of catalytic performance, operating conditions and reaction mechanism. The general guidelines of ML for heterogeneous catalysis were proposed. Finally, the existing problems and future development trend of ML in heterogeneous catalysis mediated by light, electricity and enzyme were summarized. We highly expect that this review will facilitate the interaction between ML and heterogeneous catalysis, and illuminate the development prospect of heterogeneous catalysis.

Preparation of g-C3N4/CQDs/Ag2S Composite Material and Its Antibacterial Properties

The emergence of bacterial resistance to traditional antibiotics and its global spread has brought huge threats to human life and health, and the need for new alternative antibacterial agents has become increasingly urgent. The rapid development of nanoscience provides a potential alternative to antibacterial therapy. In this study, g-C3N4 was synthesized using melamine as the raw material. It was then successfully combined with carbon quantum dots (CQDs) and silver sulfide to synthesize a g-C3N4/CQDs/Ag2S composite material. Such combination narrows the band gap of g-C3N4 from 2.53 eV to 2.21 eV and enhances the photocatalytic efficiency. Consequently, it indicated photocatalytic antimicrobial effects against three strands of bacteria, Shylococcus aureus (Grampositive), Escherichia coli (Gram-negative) and Methicillin-resistant Staphylococcus aureus under the irradiation of visible light. Other than the common pathogens, g-C3N4/CQDs/Ag2S exhibited an appreciable inhibition against the well-known drug-resistant bacteria. With its antimicrobial features and excellent photoelectric properties, the as prepared nanocomposites show its potential in the development of new antimicrobial and photocatalytic materials.