Cargando…
Application of Raman spectroscopy and Machine Learning algorithms for fruit distillates discrimination
Through this pilot study, the association between Raman spectroscopy and Machine Learning algorithms were used for the first time with the purpose of distillates differentiation with respect to trademark, geographical and botanical origin. Two spectral Raman ranges (region I—200–600 cm(−1) and regio...
Autores principales: | Berghian-Grosan, Camelia, Magdas, Dana Alina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713252/ https://www.ncbi.nlm.nih.gov/pubmed/33273608 http://dx.doi.org/10.1038/s41598-020-78159-8 |
Ejemplares similares
-
The Development of Honey Recognition Models Based on the Association between ATR-IR Spectroscopy and Advanced Statistical Tools
por: David, Maria, et al.
Publicado: (2022) -
Combined Electrochemical, Raman Analysis and Machine Learning Assessments of the Inhibitive Properties of an 1,3,4-Oxadiazole-2-Thiol Derivative against Carbon Steel Corrosion in HCl Solution
por: Varvara, Simona, et al.
Publicado: (2022) -
The Spin of Electrons and the Proof for the Action of Homeopathic Remedies
por: Vithoulkas, George, et al.
Publicado: (2020) -
Silver Nanoparticle Films Obtained by Convective Self-Assembly for Surface-Enhanced Raman Spectroscopy Analyses of the Pesticides Thiabendazole and Endosulfan
por: Brezestean, I. A., et al.
Publicado: (2022) -
Testing the limits of FT-Raman spectroscopy for wine authentication: Cultivar, geographical origin, vintage and terroir effect influence
por: Magdas, Dana Alina, et al.
Publicado: (2019)