Detection of amfepramone and its metabolite cathinone in human hair: Application to a uthentic cases of amfepramone use.
Huan YangXin WangMengxi LiuHongxiao DengMiao YuPing XiangPublished in: Drug testing and analysis (2021)
In recent years, overseas anti-obesity drugs including amfepramone have flowed into China through the internet or personal import by travelers. Amfepramone is controlled in China and is not available as a pharmaceutical product. It is obtainable either through the internet or imported by individuals across the border. The abuse of amfepramone is causing serious health problems. A method for the detection and quantification of amfepramone and its metabolite cathinone in human hair was developed and fully validated using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Approximately 10 mg of hair was weighed and pulverized with extraction solvent (a mixture of methanol: acetonitrile: 2 mM ammonium formate [pH 5.3] [25:29:46, v/v/v]). The limit of detection (LOD) and the limit of quantitation (LOQ) were 5 and 10 pg/mg, respectively. The method was linear over a concentration range from 10 to 10,000 pg/mg. The accuracy varied from -9.3% to 2.3%, with acceptable intra- and inter-day precision. The validated method was successfully applied to 17 authentic cases. The amfepramone concentrations ranged from 11.7 to 209 pg/mg, with a median of 30.2 pg/mg, and the hair cathinone concentrations ranged from 11.9 to 507 pg/mg, with a median of 54.0 pg/mg. This is the first report of amfepramone concentrations in human hair from amfepramone users. Cathinone can be incorporated into hair after amfepramone use.
Keyphrases
- liquid chromatography tandem mass spectrometry
- endothelial cells
- induced pluripotent stem cells
- mental health
- pluripotent stem cells
- ms ms
- healthcare
- loop mediated isothermal amplification
- type diabetes
- simultaneous determination
- insulin resistance
- weight loss
- public health
- metabolic syndrome
- mass spectrometry
- adipose tissue
- solid phase extraction
- ionic liquid
- risk assessment
- social media
- quantum dots
- neural network