New rapid testing method catches pesticide residues in cannabis

Miniaturized and automated analysis of pesticides in Cannabis sativa L. flowering tops by means of a robotic platform coupled to liquid chromatography-tandem mass spectrometry.

Talanta • • Moderately Relevant
🤖

AI Summary

As cannabis legalization spreads globally, ensuring product safety has become critical for consumer health. This research develops an innovative automated testing method to detect pesticide residues in cannabis flowers using robotic technology coupled with advanced laboratory equipment (liquid chromatography-tandem mass spectrometry, or UHPLC-MS/MS). The study demonstrates that pesticides commonly sprayed on cannabis crops—such as insecticides for aphids, fungicides for mold, and acaricides for spider mites—can now be detected and measured with high accuracy and sensitivity.

The breakthrough lies in the method's efficiency and effectiveness: the entire testing process takes only 25 minutes per sample, uses minimal plant material (30 mg of dried flower), and requires just a small amount of solvent. The laboratory achieved excellent detection capabilities, with the ability to identify pesticide levels as low as 0.005 micrograms per gram for most compounds. Recovery rates ranged from 72.3% to 116.2%, exceeding international quality standards set by regulatory guidelines, demonstrating the method's reliability.

Beyond detection accuracy, the study highlights an important environmental benefit: the new automated approach is significantly "greener" than conventional testing methods, producing less chemical waste and requiring fewer resources. This combination of rapid analysis, high precision, minimal environmental impact, and strong regulatory compliance makes this technology particularly valuable for cannabis producers seeking to meet quality and safety standards while scaling up testing for commercial distribution.

📄 Original Abstract

Cannabis sativa L. plant has acquired significant attention in recent years considering that numerous countries around the world are legalizing it for medical uses or recreational purposes. Due to its increasing popularity, farmers are particularly prone to use pesticides such as insecticides, acaricides, and fungicides in order to eliminate, repel, or minimize aphids, spider mites, and thrips, respectively. Accurate determination of pesticide residues in cannabis plants is mandatory to safeguard consumer health. This research study is focused on the employment of a robotic platform online coupled to UHPLC-MS/MS instrument for the rapid screening of pesticides in Cannabis sativa L. flowering tops. The developed automated procedure required only 30 mg of dried sample and 200 μL of acetonitrile as unique extraction solvent. The total analysis time was 25 min per sample, including extraction cycle (10 min). The method was proved by defining the following figures of merit: intra- and inter-day repeatability, linearity range, limits of quantification (LoQs), recovery, and accuracy. The LoQs for all the analytes were of 0.005 μg g-1, except for aldicarb and boscalid compounds (0.01 μg g-1). Matrix-matched calibration curves showed good linearity over the range with coefficients of determination ≥ 0.9991. Recoveries ranged from 72.3 % to 116.2 % in accordance with 70-120 % allowed range by SANTE/11312/2021v2026 guidelines. The sample preparation greenness was assessed using sample preparation method of sustainability (SPMS) and analytical greenness metric (AGREEprep) tools, providing scores of 6.42 and 0.55 respectively, higher than those obtained for conventional QuEChERS workflow (3.79 and 0.16).

Explore More Research

Stay informed about the latest cannabis science.

Your stash, decoded.