Classification of Various Marijuana Varieties by Raman Microscopy and Chemometrics

Fernando Ortega Ojeda desarrolló el procedimiento de tratamiento estadístico de datos y supervisó los cálculos multivariantes en The Unscrambler y SIMCA. The Raman analysis of marijuana is challenging because of the sample's easy photo-degradation caused by the laser intensity. In this study, o...

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Bibliographic Details
Authors: Ramos Guerrero, Luis, Montalvo García, Gemma|||0000-0002-5640-8908, Cosmi, Marzia, García Ruiz, Carmen|||0000-0001-5925-3449, Ortega Ojeda, Fernando Ernesto
Format: article
Publication Date:2022
Country:España
Institution:Universidad de Alcalá (UAH)
Repository:e_Buah Biblioteca Digital Universidad de Alcalá
Language:English
OAI Identifier:oai:ebuah.uah.es:10017/52170
Online Access:http://hdl.handle.net/10017/52170
https://dx.doi.org/10.3390/toxics10030115
Access Level:Open access
Keyword:marijuana
trichome
chemometrics
Raman microscopy
discrimination
OPLS-DA
Química
Chemistry
Description
Summary:Fernando Ortega Ojeda desarrolló el procedimiento de tratamiento estadístico de datos y supervisó los cálculos multivariantes en The Unscrambler y SIMCA. The Raman analysis of marijuana is challenging because of the sample's easy photo-degradation caused by the laser intensity. In this study, optimization of collection parameters and laser focusing on marijuana trichome heads allowed collecting Raman spectra without damaging the samples. The Raman spectra of Delta9-tetrahydrocannabinol (THC), cannabidiol (CBD), and cannabinol (CBN) standard cannabinoids were compared with Raman spectra of five different types of marijuana: four Sativa varieties (Amnesia Haze, Amnesia Hy-Pro, Original Amnesia, and Y Griega) and one Indica variety (Black Domina). The results verified the presence of several common spectral bands that are useful for marijuana characterization. Results were corroborated by the quantum chemical simulated Raman spectra of their acid-form (tetrahydrocannabinol acid (THCA), cannabidiol acid (CBDA)) and decarboxylated cannabinoids (THC, CBD, and CBN). A chemometrics-assisted method based on Raman microscopy and OPLS-DA offered good classification among the different marijuana varieties allowing identification of the most significant spectral bands.

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