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Journal of
eISSN: 2574-8114

Textile Engineering & Fashion Technology

Research Article Volume 11 Issue 5

Analytical approaches to cannabinoids detection in hemp: method development

Ana Pimentel, Andrea Marinho, Maria Monteiro

Received: September 17, 2025 | Published: October 3, 2025

Citation: Pimentel A, Marinho A, Monteiro M. Analytical approaches to cannabinoids detection in hemp: method development. J Textile Eng Fashion Technol. 2025;11(5):254-260. DOI: 10.15406/jteft.2025.11.00430

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Abstract

The renewed interest in hemp cultivation has been driven by its environmental benefits and the reintroduction of industrial hemp under controlled ∆9-tetrahydrocannabinol (∆9-THC) levels. Compared to other natural fibers, hemp requires fewer pesticides and less water, while contributing to carbon dioxide (CO₂) sequestration and soil remediation. Despite its benefits, hemp cultivation is controversial due to the association with the production of illegal substances. Therefore, it is essential to develop accurate methods for differentiating between industrial hemp and marijuana. This article is based on existing methodologies for the detection of ∆9-THC, tetrahydrocannabinolic acid (THCa), cannabidiol (CBD), cannabidiolic acid (CBDa) and cannabinol (CBN) in hemp, aiming to develop an improved method using liquid chromatography-tandem mass spectrometry (LC-MS/MS), specifically tailored for the textile industry. Cannabinoids were quantified using calibration curves based on certified reference standards, following solid–liquid extraction of textile samples. Among the five target cannabinoids only CBDa, CBD and CBN were detected in low concentrations. The validated method proved to be robust, accurate, and suitable for routine analysis of cannabinoids in plant-derived textile materials.

Keywords: cannabinoids, hemp, LC-MS/MS, textile industry, validation

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©2025 Pimentel, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.