Not what it seems: analytical validation and label accuracy of commercial CBD oils using HPTLC.

IF 3.8 Q1 PHARMACOLOGY & PHARMACY
Keilor Morales Alfaro, Gabriel Zamora, Manuel Sandoval-Barrantes, Ana Francis Carballo Arce, Jose A Rodriguez-Corrales
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引用次数: 0

Abstract

The rapid growth of the cannabidiol (CBD) market has raised concerns about product labeling accuracy and quality control. This study aimed to validate a high-performance thin-layer chromatography (HPTLC) method and apply it to analyze CBD content in commercial oils and e-liquids available in Costa Rica. The HPTLC method was validated following guidelines of the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use. Performance parameters assessed included linearity, accuracy, precision, specificity, and limits of detection (LOD), and quantification (LOQ). After validation, the method was used to quantify CBD and screen for other phytocannabinoids such as CBG, CBN, and Δ⁹-THC in 5 commercial oils and 3 e-liquids. The method showed excellent linearity (R² > 0.9998), precision (%CV < 2%), and accuracy (99–102% recovery), while successfully detecting CBD concentrations and qualitatively identifying other cannabinoids. Notably, some commercial samples showed CBD over- and underlabeling, and tentative presence of Δ⁹-THC. These findings reveal inconsistencies between the labeled and actual CBD content in several products, mirroring international trends, and represent the first documented evidence of mislabeling in hemp-based products in Costa Rica. The validated HPTLC method offers a cost-effective tool for regulatory surveillance, enabling preliminary cannabinoid profiling and quantification. Its application can support public health policies and consumer protection through improved product transparency and compliance with Costa Rica’s national hemp regulations.

不是看起来的那样:使用HPTLC的商业CBD油的分析验证和标签准确性。
大麻二酚(CBD)市场的快速增长引起了人们对产品标签准确性和质量控制的担忧。本研究旨在验证高效薄层色谱(HPTLC)方法,并将其应用于哥斯达黎加市售油和电子烟油中CBD含量的分析。HPTLC方法按照国际人用药品技术要求统一委员会的指导方针进行验证。评估的性能参数包括线性、准确度、精密度、特异性和检出限(LOD)和定量(LOQ)。验证后,将该方法用于定量CBD,并筛选5种商业油和3种电子烟油中的其他植物大麻素,如CBG、CBN和Δ 9 -THC。该方法具有良好的线性关系(R²> 0.9998),精密度(%CV
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.20
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