Evidence map›Paper›PMID 40589191›Full record

ArticleDrug testing and analysis2025

Toward a Cannabis Terroir: Untargeted Metabolomic Profiling of Authentic Samples Using Gas Chromatography-High-Resolution Mass Spectrometry (GC-HRMS) and Liquid Chromatography-High-Resolution Tandem Mass Spectrometry (LC-HRMS/MS).

Sandra N Poetzsch, Michael Poetzsch, Thomas Kraemer, Andrea E Steuer

Abstract read
In one paragraph

Article in Drug testing and analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Sandra N PoetzschDepartment of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8164-9263
Michael PoetzschSwiss Drug Testing GmbH, Winterthur, Switzerland.
Thomas KraemerDepartment of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.
Andrea E SteuerDepartment of Forensic Pharmacology and Toxicology, Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8983-2353

Funding

Foundation for Research in Science and the Humanities STWF-22-012
6 · The paper itself

Abstract

Cannabis sativa L. constituents, such as cannabinoids, terpenes, flavonoids, and other secondary metabolites, determine the plant's (medicinal) effects and properties in a complex interplay, a phenomenon known as the entourage effect. However, environmental influences like cultivation method, soil, light, and climate might also influence the plant's chemical composition-and thus its therapeutic profile. Much like in viticulture, the concept of a "cannabis terroir" might play an important role in determining the plant's chemical phenotype. The aim of this study was therefore to make these complex properties analytically accessible and develop a comprehensive metabolomics workflow using gas chromatography-high-resolution mass spectrometry (GC-HRMS) and liquid chromatography-high-resolution tandem mass spectrometry (LC-HRMS/MS) in positive and negative ionization mode, applying HILIC and reversed phase chromatography to assess multiple chemical classes. Data processing and statistical analysis were done in MS-DIAL and MetaboAnalyst, respectively. The method was applied to 35 CBD-type cannabis flowers grown under different environmental conditions, and compounds belonging to various chemical classes were successfully detected. Principal component analysis revealed distinct clustering of the samples, and key discriminative features were identified, including cannabinoids, terpenes such as β-caryophyllene and α-humulene, cuticular alkanes (e.g., pentacosane and nonacosane), and polar compounds such as choline and trigonelline. The markers enabled a discrimination of samples not only by chemical phenotype but also by cultivation environment, supporting the emerging concept of a cannabis terroir. In conclusion, this study introduces an analytical framework for the comprehensive chemical profiling of cannabis employing GC-HRMS and LC-HRMS analysis and advanced statistical techniques.

Indexed as

CannabinoidsCannabisGas Chromatography-Mass SpectrometryMetabolomicsTandem Mass SpectrometryChromatography, LiquidFlowersPrincipal Component AnalysisCannabinoidscannabinomicscannabisGC‐HRMSLC‐HRMSmetabolomics

Identifiers

PMID40589191
PMCPMC12489288

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Registered trials

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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.