Artificial Intelligence Assisted Mid-Infrared Laser Spectroscopy In Situ Detection of Petroleum in Soils

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....

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Bibliographic Details
Main Authors: Nataly J. Galán-Freyle, María L. Ospina-Castro, Alberto R. Medina-González, Reynaldo Villarreal-González, Samuel P. Hernández-Rivera, Leonardo C. Pacheco-Londoño
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
mid-infrared (mir) laser spectroscopy
quantum cascade lasers (qcls)
artificial intelligence (ai)
chemometrics
multivariate analysis
petroleum
soil
Online Access:https://www.mdpi.com/2076-3417/10/4/1319

Internet

https://www.mdpi.com/2076-3417/10/4/1319

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