Cargando…
Machine Learning Analysis of Raman Spectra To Quantify the Organic Constituents in Complex Organic–Mineral Mixtures
[Image: see text] Important decisions in local agricultural policy and practice often hinge on the soil’s chemical composition. Raman spectroscopy offers a rapid noninvasive means to quantify the constituents of complex organic systems. But the application of Raman spectroscopy to soils presents a m...
Autores principales: | Zarei, Mahsa, Solomatova, Natalia V., Aghaei, Hoda, Rothwell, Austin, Wiens, Jeffrey, Melo, Luke, Good, Travis G., Shokatian, Sadegh, Grant, Edward |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620774/ https://www.ncbi.nlm.nih.gov/pubmed/37698955 http://dx.doi.org/10.1021/acs.analchem.3c02348 |
Ejemplares similares
-
DFT Computed Dielectric Response and THz Spectra of Organic Co-Crystals and Their Constituent Components
por: Bennett, Joseph W., et al.
Publicado: (2019) -
Correlation Study between the Organic Compounds and Ripening Stages of Oil Palm Fruitlets Based on the Raman Spectra
por: Azmi, Muhammad Haziq Imran Md, et al.
Publicado: (2022) -
Developing a molecular picture of soil organic matter–mineral interactions by quantifying organo–mineral binding
por: Newcomb, C. J., et al.
Publicado: (2017) -
Organic structures from spectra /
por: Field, L. D.
Publicado: (2013) -
Organic structures from spectra /
por: Field, L. D.
Publicado: (1995)