Cargando…

Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis

[Image: see text] Cannabis is the most prevalent abused substance after alcohol, and its consumption severely harms human health and thus adversely impacts society. The identification and quantification of cannabis in urine play important roles in practical forensics. Excitation–emission matrix (EEM...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Sheng-Feng, Yang, Hai-Long, Lin, Si-Yu, Wan, Jing-Wei, Zhou, Cheng-He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552475/
https://www.ncbi.nlm.nih.gov/pubmed/37810707
http://dx.doi.org/10.1021/acsomega.3c04913
_version_ 1785115970897969152
author Cui, Sheng-Feng
Yang, Hai-Long
Lin, Si-Yu
Wan, Jing-Wei
Zhou, Cheng-He
author_facet Cui, Sheng-Feng
Yang, Hai-Long
Lin, Si-Yu
Wan, Jing-Wei
Zhou, Cheng-He
author_sort Cui, Sheng-Feng
collection PubMed
description [Image: see text] Cannabis is the most prevalent abused substance after alcohol, and its consumption severely harms human health and thus adversely impacts society. The identification and quantification of cannabis in urine play important roles in practical forensics. Excitation–emission matrix (EEM) fluorescence spectroscopy coupled with parallel factor (PARAFAC) analysis was developed to identify and quantify the four main ingredients of cannabis in urine samples. The main ingredients of cannabis including Δ-9-tetrahydrocannabinol (THC), cannabidiol, cannabinol, and tetrahydrocannabinolic acid (THC–COOH) exhibited diverse fluorescence characteristics, and the concentrations of these compounds depicted a positive linear relationship with the fluorescence intensity at the ng/mL level. The EEM/PARAFAC method adequately characterized and discriminated the four ingredients in calibration and prediction samples with a low root-mean-square error of prediction (RMSEP; 0.03–0.07 μg/mL) and limit of quantitation (LOQ; 0.26–0.71 μg/mL). The prediction results of the EEM/PARAFAC method well correlated with that of GC–MS with a low RMSEP range (0.01–0.05 μg/mL) and LOQ range (0.07–0.44 μg/mL) in urine samples. The EEM spectroscopic investigation coupled with the PARAFAC algorithm results in an organic, solvent-less, fast, reliable tool to perform accurate and rapid screening of cannabis abusers.
format Online
Article
Text
id pubmed-10552475
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-105524752023-10-06 Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis Cui, Sheng-Feng Yang, Hai-Long Lin, Si-Yu Wan, Jing-Wei Zhou, Cheng-He ACS Omega [Image: see text] Cannabis is the most prevalent abused substance after alcohol, and its consumption severely harms human health and thus adversely impacts society. The identification and quantification of cannabis in urine play important roles in practical forensics. Excitation–emission matrix (EEM) fluorescence spectroscopy coupled with parallel factor (PARAFAC) analysis was developed to identify and quantify the four main ingredients of cannabis in urine samples. The main ingredients of cannabis including Δ-9-tetrahydrocannabinol (THC), cannabidiol, cannabinol, and tetrahydrocannabinolic acid (THC–COOH) exhibited diverse fluorescence characteristics, and the concentrations of these compounds depicted a positive linear relationship with the fluorescence intensity at the ng/mL level. The EEM/PARAFAC method adequately characterized and discriminated the four ingredients in calibration and prediction samples with a low root-mean-square error of prediction (RMSEP; 0.03–0.07 μg/mL) and limit of quantitation (LOQ; 0.26–0.71 μg/mL). The prediction results of the EEM/PARAFAC method well correlated with that of GC–MS with a low RMSEP range (0.01–0.05 μg/mL) and LOQ range (0.07–0.44 μg/mL) in urine samples. The EEM spectroscopic investigation coupled with the PARAFAC algorithm results in an organic, solvent-less, fast, reliable tool to perform accurate and rapid screening of cannabis abusers. American Chemical Society 2023-09-21 /pmc/articles/PMC10552475/ /pubmed/37810707 http://dx.doi.org/10.1021/acsomega.3c04913 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Cui, Sheng-Feng
Yang, Hai-Long
Lin, Si-Yu
Wan, Jing-Wei
Zhou, Cheng-He
Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis
title Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis
title_full Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis
title_fullStr Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis
title_full_unstemmed Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis
title_short Identification and Quantification of the Main Psychoactive Ingredients of Cannabis in Urine Using Excitation–Eemission Matrix Fluorescence Coupled with Parallel Factor Analysis
title_sort identification and quantification of the main psychoactive ingredients of cannabis in urine using excitation–eemission matrix fluorescence coupled with parallel factor analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552475/
https://www.ncbi.nlm.nih.gov/pubmed/37810707
http://dx.doi.org/10.1021/acsomega.3c04913
work_keys_str_mv AT cuishengfeng identificationandquantificationofthemainpsychoactiveingredientsofcannabisinurineusingexcitationeemissionmatrixfluorescencecoupledwithparallelfactoranalysis
AT yanghailong identificationandquantificationofthemainpsychoactiveingredientsofcannabisinurineusingexcitationeemissionmatrixfluorescencecoupledwithparallelfactoranalysis
AT linsiyu identificationandquantificationofthemainpsychoactiveingredientsofcannabisinurineusingexcitationeemissionmatrixfluorescencecoupledwithparallelfactoranalysis
AT wanjingwei identificationandquantificationofthemainpsychoactiveingredientsofcannabisinurineusingexcitationeemissionmatrixfluorescencecoupledwithparallelfactoranalysis
AT zhouchenghe identificationandquantificationofthemainpsychoactiveingredientsofcannabisinurineusingexcitationeemissionmatrixfluorescencecoupledwithparallelfactoranalysis