Infrared tests estimate CBD in medicinal oils across two countries

Quantification of cannabinoids in medicinal Cannabis oils using bench-top mid-infrared (MIR), near-infrared (NIR), and portable NIR spectroscopy with chemometric analysis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy • • Highly Relevant
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AI Summary

This study asked whether mid-infrared (MIR) and near-infrared (NIR) spectroscopy, paired with chemometric models, can quantify cannabinoids in medicinal Cannabis oils. Researchers tested Brazilian and Italian oil samples using benchtop and portable instruments. The abstract does not report the number of samples or a direct comparison with a separate reference method.

The calibration models had low prediction errors. For Brazilian oils, CBD ranged from not detected to 0.88%, and the best reported model had a prediction error (RMSEP) of 0.03% using benchtop NIR. For Italian oils, with CBD ranging from 0.1% to 33.6%, the corresponding RMSEP was 0.62%. The authors conclude that infrared spectroscopy is a feasible rapid, non-destructive approach for quality control across oils that differed in vehicle, brand, or geographic origin. This abstract-based summary cannot establish performance beyond the samples and conditions studied, or show that the method improves product safety or health outcomes.

💡 Key Findings

1
Infrared spectroscopy paired with chemometric models showed low prediction errors when estimating cannabinoids in medicinal Cannabis oils.
High
90%
2
For Brazilian oils, the best reported benchtop NIR model had an RMSEP of 0.03% for samples with CBD from not detected to 0.88%.
High
90%
3
For Italian oils, the corresponding model had an RMSEP of 0.62% across samples with CBD from 0.1% to 33.6%.
High
90%
4
The authors report the approach was feasible across oils differing in vehicle, brand, or geographic origin; the abstract does not establish its performance beyond the tested samples.
High
85%

📄 Original Abstract

The growing use of Cannabis-based medicinal products has highlighted the need for analytical methods to ensure their quality and safety. In this study, mid- and near-infrared spectroscopy combined with chemometric modeling was employed for the quantification of cannabinoids in medicinal oils from Brazil and Italy. Samples were analyzed using both benchtop and portable instruments, and the developed calibration models showed low prediction errors. For the Brazilian oils, with CBD contents ranging from not detected to 0.88%, the best model, showed RMSEP value, using benchtop NIR spectroscopy, of 0.03%. For the Italian samples, with CBD contents between 0.1 and 33.6%, the corresponding RMSEP was 0.62%, confirming the adequate predictive performance of the proposed models. Overall, the results demonstrate the feasibility of infrared spectroscopy as a rapid and non-destructive approach for the quality control of Cannabis medicinal oils, regardless of the oily vehicle, brand, or geographical origin.

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