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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| 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 |