Cargando…
The Development of Honey Recognition Models Based on the Association between ATR-IR Spectroscopy and Advanced Statistical Tools
The newly developed prediction models, having the aim to classify Romanian honey samples by associating ATR-FTIR spectral data and the statistical method, PLS-DA, led to reliable differentiations among the samples, in terms of botanical and geographical origin and harvesting year. Based on this appr...
Autores principales: | David, Maria, Hategan, Ariana Raluca, Berghian-Grosan, Camelia, Magdas, Dana Alina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455976/ https://www.ncbi.nlm.nih.gov/pubmed/36077384 http://dx.doi.org/10.3390/ijms23179977 |
Ejemplares similares
-
Application of Raman spectroscopy and Machine Learning algorithms for fruit distillates discrimination
por: Berghian-Grosan, Camelia, et al.
Publicado: (2020) -
Authentication of Transylvanian Spirits Based on Isotope and Elemental Signatures in Conjunction with Statistical Methods
por: Magdas, Dana Alina, et al.
Publicado: (2021) -
Isotopic and Elemental Fingerprint of Edible Egg Parts—The Health Risk Assessment Based on Potentially Toxic Elements Content
por: Cristea, Gabriela, et al.
Publicado: (2023) -
ATR-IR Spectroscopy Application to Diagnostic Screening of Advanced Endometriosis
por: Kokot, Izabela, et al.
Publicado: (2022) -
The Spin of Electrons and the Proof for the Action of Homeopathic Remedies
por: Vithoulkas, George, et al.
Publicado: (2020)