Protein Identification and Quantification Using Porous Silicon Arrays, Optical Measurements, and Machine Learning

We report a versatile platform based on an array of porous silicon (PSi) thin films that can identify analytes based on their physical and chemical properties without the use of specific capture agents. The ability of this system to reproducibly classify, quantify, and discriminate three proteins se...

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Detalles Bibliográficos
Autores principales: Ward, Simon J., Cao, Tengfei, Zhou, Xiang, Chang, Catie, Weiss, Sharon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526835/
https://www.ncbi.nlm.nih.gov/pubmed/37754113
http://dx.doi.org/10.3390/bios13090879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526835/
https://www.ncbi.nlm.nih.gov/pubmed/37754113
http://dx.doi.org/10.3390/bios13090879

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