Evidence map›Paper›PMID 40042239›Full record

ArticlePhytochemical analysis : PCA2025

A Validated GC-MS Method for Major Terpenes Quantification in Hydrodistilled Cannabis sativa Essential oil.

Noelle Joy, Daniel Jackson, Timothy Coolong

Abstract readValidation Study
In one paragraph

Article in Phytochemical analysis : PCA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Noelle JoyDepartment of Horticulture, College of Agricultural and Environmental Sciences, University of Georgia, Athens, Georgia, USA.ORCID https://orcid.org/0000-0002-1058-6397
Daniel JacksonUGA Agricultural & Environmental Services Laboratories, Athens, Georgia, USA.
Timothy CoolongDepartment of Horticulture, College of Agricultural and Environmental Sciences, University of Georgia, Athens, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTerpenes, which are found in high concentrations in the essential oil fraction of the Cannabis sativa flower, have demonstrated potential in many therapeutic and industrial applications.

objectivesThis work reports on a method developed for quantifying 18 terpenes in C. sativa essential oil obtained through hydrodistillation. The following method has been evaluated for specificity, selectivity, accuracy, linearity, precision, stability, limit of detection, and limit of quantification. MATERIALS AND

methodsSamples were prepared by separating the essential oil fraction through hydrodistillation and then diluting with ethyl acetate containing a 100 μg/mL solution of n-tridecane and octadecane as internal standards. Analysis was performed on a gas chromatograph mass spectrometer (GCMS) using selected ion monitoring (SIM).

resultsThe developed method enabled quantification of isomers of nerolidol and ocimene and several coeluting compounds, with recoveries of 87.35%-116.61%. Two cultivars of C. sativa flower were evaluated, and the dominant terpene compounds in both cultivars were β-myrcene (5.85-8.62 mg/g dried plant) and β-caryophyllene (3.89-4.69 mg/g), followed by α-humulene (1.35-1.99 mg/g), limonene (0.91-1.33 mg/g), and α-bisabolol (0.66-0.68 mg/g).

conclusionThis method provides an accurate and reliable procedure for separating and quantifying the major terpene compounds in C. sativa flower using hydrodistillation and GCMS with SIM. The simplicity and solvent-free nature of the hydrodistillation extraction, combined with the specificity and accuracy of using SIM and external standards, enables the determination of total and individual terpenes concentrations within plant material and supports numerous industrial and therapeutic applications.

Indexed as

CannabisGas Chromatography-Mass SpectrometryOils, VolatileTerpenesDistillationLimit of DetectionReproducibility of ResultsOils, VolatileTerpenesCannabis sativa Lgas chromatography mass spectrometryhemphydrodistillationselected ion monitoringterpene

Identifiers

PMID40042239
PMCPMC12670203

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.