Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification

Surface-enhanced Raman spectroscopy (SERS) is a powerful tool for molecule identification. However, profiling complex samples remains a challenge because SERS peaks are likely to overlap, confounding features when multiple analytes are present in a single sample. In addition, SERS often suffers from...

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Detalles Bibliográficos
Autores principales: Hu, Qiang, Sellers, Chase, Kwon, Joseph Sang-Il, Wu, Hung-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983029/
https://www.ncbi.nlm.nih.gov/pubmed/36874955
http://dx.doi.org/10.1016/j.dche.2022.100020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9983029/
https://www.ncbi.nlm.nih.gov/pubmed/36874955
http://dx.doi.org/10.1016/j.dche.2022.100020

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