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利用拉曼显微镜和化学计量学对各种大麻品种进行分类

Classification of Various Marijuana Varieties by Raman Microscopy and Chemometrics.

作者信息

Ramos-Guerrero Luis, Montalvo Gemma, Cosmi Marzia, García-Ruiz Carmen, Ortega-Ojeda Fernando E

机构信息

Centro de Investigación de Alimentos, CIAL-Centro de Investigación de Alimentos, Universidad UTE, Quito EC170527, Ecuador.

Universidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Ctra. Madrid-Barcelona km 33,600, 28871 Alcalá de Henares, Madrid, Spain.

出版信息

Toxics. 2022 Feb 28;10(3):115. doi: 10.3390/toxics10030115.

DOI:10.3390/toxics10030115
PMID:35324740
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8948958/
Abstract

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 Δ-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.

摘要

由于激光强度会导致大麻样品容易发生光降解，因此对大麻进行拉曼分析具有挑战性。在本研究中，通过优化采集参数并将激光聚焦于大麻腺毛头部，得以在不损坏样品的情况下采集拉曼光谱。将Δ-四氢大麻酚（THC）、大麻二酚（CBD）和大麻酚（CBN）标准大麻素的拉曼光谱与五种不同类型大麻的拉曼光谱进行了比较：四种大麻品种（失忆症 haze、失忆症 Hy-Pro、原始失忆症和 Y Griega）和一种印度大麻品种（黑色统治）。结果证实了存在几个对大麻表征有用的常见光谱带。其酸形式（四氢大麻酚酸（THCA）、大麻二酚酸（CBDA））和脱羧大麻素（THC、CBD 和 CBN）的量子化学模拟拉曼光谱证实了这些结果。基于拉曼显微镜和正交投影判别分析（OPLS-DA）的化学计量学辅助方法在不同大麻品种之间实现了良好的分类，从而能够识别出最重要的光谱带。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/79973c35fe47/toxics-10-00115-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/bda1fd9160ab/toxics-10-00115-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/911afd2f5397/toxics-10-00115-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/b5529011327f/toxics-10-00115-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/f3561350f7ee/toxics-10-00115-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/2646cf2ad11b/toxics-10-00115-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/79973c35fe47/toxics-10-00115-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/bda1fd9160ab/toxics-10-00115-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/911afd2f5397/toxics-10-00115-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/b5529011327f/toxics-10-00115-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/f3561350f7ee/toxics-10-00115-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/2646cf2ad11b/toxics-10-00115-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/159d/8948958/79973c35fe47/toxics-10-00115-g006.jpg

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