Issue 21, 2023

Sensitive determination of 11-nor-9-carboxy-Δ9-tetrahydrocannabinol in wastewater by solid-phase extraction with pre-column derivatization and liquid chromatography-tandem mass spectrometry

Abstract

As the dangers of cannabis abuse draw attention worldwide, it is necessary to assess the level of consumption in the community. The analysis of 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH) excreted in wastewater can provide information for a defined catchment area. Due to its hydrophobic nature and absence of ionizable groups, its detection is challenging. In this study, a highly sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed for the quantitative determination of THC-COOH in urban wastewater. The derivatization reagent 6-methylpyridine-3-sulfonyl chloride (MPS) with analyte-specific fragmentation was proven to be the most effective for improving sensitivity. Samples were extracted by solid-phase extraction (SPE) and satisfactory recovery was achieved (>79%) by adding acetonitrile to the samples for ultrasonic-assisted extraction before filtration. The limit of detection (LOD) and limit of quantification (LOQ) was 0.03 ng L−1 and 0.1 ng L−1, respectively, from a 40 mL sample. The established methodology was applied to profile the presence of THC-COOH in influent wastewater samples. It was shown that 20 out of the 252 samples contained THC-COOH and the concentrations were all below 1 ng L−1.

Graphical abstract: Sensitive determination of 11-nor-9-carboxy-Δ9-tetrahydrocannabinol in wastewater by solid-phase extraction with pre-column derivatization and liquid chromatography-tandem mass spectrometry

Article information

Article type
Paper
Submitted
20 Mar 2023
Accepted
08 May 2023
First published
09 May 2023

Anal. Methods, 2023,15, 2693-2699

Sensitive determination of 11-nor-9-carboxy-Δ9-tetrahydrocannabinol in wastewater by solid-phase extraction with pre-column derivatization and liquid chromatography-tandem mass spectrometry

J. Chen, Y. Zang, M. Chen, C. Shi, M. Zhang, B. Di and C. Jiang, Anal. Methods, 2023, 15, 2693 DOI: 10.1039/D3AY00420A

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