Artificial intelligence assisted Mid-infrared laser spectroscopy in situ detection of petroleum in soils
A simple, remote-sensed method of detection of traces of petroleum in soil combining artificial intelligence (AI) with mid-infrared (MIR) laser spectroscopy is presented. A portable MIR quantum cascade laser (QCL) was used as an excitation source, making the technique amenable to field applications....
- Autores:
-
Galán-Freyle, Nataly J.
Ospina-Castro, María L.
Medina-González, Alberto R.
Villarreal-González, Reynaldo
Hernández-Rivera, Samuel P.
Pacheco-Londoño, Leonardo C.
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Simón Bolívar
- Repositorio:
- Repositorio Digital USB
- Idioma:
- eng
- OAI Identifier:
- oai:bonga.unisimon.edu.co:20.500.12442/4758
- Acceso en línea:
- https://hdl.handle.net/20.500.12442/4758
- Palabra clave:
- Mid-infrared (MIR) laser spectroscopy
Quantum cascade lasers (QCLs)
Artificial intelligence (AI)
Chemometrics
Multivariate analysis
Petroleum
Soil
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional