ATR-FTIR combined with machine learning for the fast non-targeted screening of new psychoactive substances

Due to the diversity and fast evolution of new psychoactive substances (NPS), both public health and safety are threatened around the world. Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR), which serves as a simple and rapid technique for targeted NPS screening, is cha...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Forensic science international 2023-08, Vol.349, p.111761-111761, Article 111761
Hauptverfasser:	Du, Yu, Hua, Zhendong, Liu, Cuimei, Lv, Rulin, Jia, Wei, Su, Mengxiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) Benzodiazepines Cannabinoids Categories Chromatography Classification Cluster analysis Cultural heritage Datasets Drugs Fentanyl Forensic sciences Fourier transforms FTIR spectrometers Generalized linear models Hierarchical cluster analysis (HCA) Infrared reflection Infrared spectroscopy Learning algorithms Machine learning Machine Learning (ML) Mass spectrometry Neural networks New psychoactive substances (NPS) NMR Non-targeted screening Nuclear magnetic resonance Phencyclidine Portability Psychotropic drugs Public health Scientific imaging Screening Software Spectrometers Support vector machines Tryptamines
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!