A Deep Learning Approach to Investigating Clandestine Laboratories Using a GC-QEPAS Sensor

A Deep Learning Approach to Investigating Clandestine Laboratories Using a GC-QEPAS Sensor

Illicit drug production in clandestine laboratories involves the use of large quantities of different chemicals that can be obtained for legitimate purposes. The identification of these chemicals, including reagents, catalyzers and solvents, is crucial for forensic investigations. From a legal point...

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Bibliographic Details
Main Authors: Giorgio Felizzato, Nicola Liberatore, Sandro Mengali, Roberto Viola, Vittorio Moriggia, Francesco Saverio Romolo
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Chemosensors
Subjects:
machine learning
drug precursor
analytical instrument
gas chromatography
quartz-enhanced photoacoustic spectroscopy
Online Access:https://www.mdpi.com/2227-9040/12/8/152

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https://www.mdpi.com/2227-9040/12/8/152

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