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.
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad del Atlántico
- Repositorio:
- Repositorio Uniatlantico
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniatlantico.edu.co:20.500.12834/917
- Acceso en línea:
- https://hdl.handle.net/20.500.12834/917
- Palabra clave:
- mid-infrared (MIR) laser spectroscopy; quantum cascade lasers (QCLs); artificial intelligence (AI); chemometrics; multivariate analysis; petroleum; soil
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc/4.0/