Literature DB >> 32401504

Raman-Based Differentiation of Hemp, Cannabidiol-Rich Hemp, and Cannabis.

Lee Sanchez1, David Baltensperger2, Dmitry Kurouski1,3.   

Abstract

Hemp (Cannabis sativa) has been used to treat pain as far back as 2900 B.C. Its pharmacological effects originate from a large variety of cannabinols. Although more than 100 different cannabinoids have been isolated from Cannabis plants, clear physiological effects of only a few of them have been determined, including delta-9 tetrahydrocannabinol (THC), cannabidiol (CBD), and cannabigerol (CBG). While THC is an illicit drug, CBD and CBG are legal substances that have a variety of unique pharmacological properties such as the reduction of chronic pain, inflammation, anxiety, and depression. Over the past decade, substantial efforts have been made to develop Cannabis varieties that would produce large amounts of CBD and CBG. Ideally, such plant varieties should produce very little (below 0.3%) if any THC to make their cultivation legal. The amount of cannabinoids in the plant material can be determined using high performance liquid chromatography (HPLC). This analysis, however, is nonportable, destructive, and time and labor consuming. Our group recently proposed to use Raman spectroscopy (RS) for confirmatory, noninvasive, and nondestructive differentiation between hemp and cannabis. The question to ask is whether RS can be used to detect CBD and CBG in hemp, as well as enable confirmatory differentiation between hemp, cannabis, and CBD-rich hemp. In this manuscript, we show that RS can be used to differentiate between cannabis, CBD-rich plants, and regular hemp. We also report spectroscopic signatures of CBG, cannabigerolic acid (CBGA), THC, delta-9-tetrahydrocannabinolic acid (THCA), CBD, and cannabidiolic acid (CBDA) that can be used for Raman-based quantitative diagnostics of these cannabinoids in plant material.

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Year:  2020        PMID: 32401504     DOI: 10.1021/acs.analchem.0c00828

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

1.  Raman spectroscopy enables highly accurate differentiation between young male and female hemp plants.

Authors:  Samantha Higgins; Russell Jessup; Dmitry Kurouski
Journal:  Planta       Date:  2022-03-13       Impact factor: 4.116

Review 2.  Raman-Based Diagnostics of Biotic and Abiotic Stresses in Plants. A Review.

Authors:  William Z Payne; Dmitry Kurouski
Journal:  Front Plant Sci       Date:  2021-01-20       Impact factor: 5.753

Review 3.  Analytical Techniques for Phytocannabinoid Profiling of Cannabis and Cannabis-Based Products-A Comprehensive Review.

Authors:  Gjoshe Stefkov; Ivana Cvetkovikj Karanfilova; Veronika Stoilkovska Gjorgievska; Ana Trajkovska; Nikola Geskovski; Marija Karapandzova; Svetlana Kulevanova
Journal:  Molecules       Date:  2022-02-01       Impact factor: 4.411

4.  Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.).

Authors:  Yuzhen Lu; Sierra Young; Eric Linder; Brian Whipker; David Suchoff
Journal:  Front Plant Sci       Date:  2022-02-02       Impact factor: 5.753

5.  Rapid In Situ Detection of THC and CBD in Cannabis sativa L. by 1064 nm Raman Spectroscopy.

Authors:  Stefania Porcu; Enrica Tuveri; Marco Palanca; Claudia Melis; Ignazio Macellaro La Franca; Jessica Satta; Daniele Chiriu; Carlo Maria Carbonaro; Pierluigi Cortis; Antonio De Agostini; Pier Carlo Ricci
Journal:  Anal Chem       Date:  2022-07-18       Impact factor: 8.008

6.  Semiquantitative Screening of THC Analogues by Silica Gel TLC with an Ag(I) Retention Zone and Chromogenic Smartphone Detection.

Authors:  Si Huang; Ruiying Qiu; Zhengfa Fang; Ke Min; Teris A van Beek; Ming Ma; Bo Chen; Han Zuilhof; Gert Ij Salentijn
Journal:  Anal Chem       Date:  2022-09-30       Impact factor: 8.008

Review 7.  Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review.

Authors:  William Z Payne; Dmitry Kurouski
Journal:  Plant Methods       Date:  2021-07-15       Impact factor: 4.993

8.  Classification of Various Marijuana Varieties by Raman Microscopy and Chemometrics.

Authors:  Luis Ramos-Guerrero; Gemma Montalvo; Marzia Cosmi; Carmen García-Ruiz; Fernando E Ortega-Ojeda
Journal:  Toxics       Date:  2022-02-28
  8 in total

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