FOOD SCIENCE ›› 2022, Vol. 43 ›› Issue (24): 357-364.doi: 10.7506/spkx1002-6630-20220331-385

• Safety Detection • Previous Articles    

Determination of Nine Cannabinoids in Foods by Solid Phase Extraction Combined with Gas Chromatography-Mass Spectrometry

TANG Qingqiang, XIA Linbing, CAO Dan, YANG Fang, WU Chundeng, XUE Kunpeng   

  1. (1. Fuzhou Customs Technical Centre, Fuzhou 350001, China; 2. Sanming Customs Comprehensive Technology Service Center, Sanming 365001, China; 3. Hangzhou International Travel Healthcare Center (Hangzhou Customs Port Clinic), Hangzhou 310016, China; 4. Jinhua Customs Comprehensive Technology Service Center, Jinhua 321001, China; 5. Welch Materials (Zhejiang) Co. Ltd., Jinhua 321001, China)
  • Published:2022-12-28

Abstract: In this study, an analytical method based on gas chromatography-mass spectrometry (GC-MS) was developed for the determination of nine cannabinoid compounds in foods such as olive oil, pork and bread. The samples were extracted with methanol or acetonitrile, and the extract was purified on a solid phase extraction column. The target compounds were separated on an Agilent HP-5MS column. The instrument was operated using an electrospray ionization source (EIS) in the selected ion monitoring (SIM) mode. The external standard method was used for quantification. This method showed good linearity in the concentration range of 10–500 μg/L with correlation coefficients greater than 0.999 2. The limits of detection (LOD, RSN = 3) and limits of quantification (LOQ, RSN = 10) of the developed method were 1–15 and 2.5–50 μg/kg. The average recoveries of the nine cannabinoids from negative samples of different matrices spiked at LOQ, 2 × LOQ and 10 × LOQ concentrations ranged from 65.2% to 117.9%, with relative standard deviations (RSDs) between 2.0% and 12.7%. This method is very sensitive, fast, highly applicable, and useful for the detection of cannabinoid residues in foods.

Key words: cannabinoids; synthetic cannabinoids; gas chromatography-mass spectrometry

CLC Number: