Highly Adsorptive Au-TiO(2) Nanocomposites for the SERS Face Mask Allow the Machine-Learning-Based Quantitative Assay of SARS-CoV-2 in Artificial Breath Aerosols

[Image: see text] Human respiratory aerosols contain diverse potential biomarkers for early disease diagnosis. Here, we report the direct and label-free detection of SARS-CoV-2 in respiratory aerosols using a highly adsorptive Au-TiO(2) nanocomposite SERS face mask and an ablation-assisted autoencod...

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Detalles Bibliográficos
Autores principales: Hwang, Charles S. H., Lee, Sangyeon, Lee, Sejin, Kim, Hanjin, Kang, Taejoon, Lee, Doheon, Jeong, Ki-Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718102/
https://www.ncbi.nlm.nih.gov/pubmed/36448483
http://dx.doi.org/10.1021/acsami.2c16446

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718102/
https://www.ncbi.nlm.nih.gov/pubmed/36448483
http://dx.doi.org/10.1021/acsami.2c16446

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