Simultaneous identification and detection of 16 anabolic steroid hormones in muscle using liquid chromatography oupled to quadrupole/linear ion trap mass spectrometry

Journal: Se Pu = Chinese Journal Of Chromatography
Published:
Abstract

A comprehensive method for simultaneous identification and detection of 16 anabolic steroid hormones (ASs, including andorgens, gestagens and their esters) in muscle samples was developed with liquid chromatography coupled to quadrupole/linear ion trap mass spectrometry (LC-Q/Trap-MS). The ASs in muscle samples were extracted with acetonitrile under ultrasonic assistance. The extract was defatted by n-hexane with liquid-liquid partitioning and followed by clean-up with NH2 solid phase extraction (SPE) cartridge. The separation of analytes was carried out on a CAPCELL PAK C18 MG II column (150 mm x 2.0 mm, 5.0 microm) using mobile phases of 0.1% (v/v) formic acid in acetonitrile and 0.1% (v/v) formic acid-5 mmol/L ammonium formate aqueous solution with gradient elution. A scheduled multiple reaction monitoring (sMRM) in positive mode as survey scan and an enhanced product ion (EPI) scan as dependent scan in an information-dependent acquisition (IDA) experiment was adopted in mass spectrometry acquisition. On-line lab-built MS/MS library and internal standards were employed for the identification and quantification. As a result, the 16 ASs showed good linearity with all correlation coefficients (r) no less than 0. 999 0 within the linear ranges. The limits of quantification (LOQs, S/N > or = 10) for the 16 ASs were in the range of 0.029-0.36 microg/kg. At the three spiked levels (0.5, 2.0 and 20 microg/kg), the overall recoveries ranged from 89.9% to 118% with the relative standard deviations (RSDs) no more than 16.2% under within--laboratory reproducibility conditions. The proposed method can be used to identify and detect the 16 ASs in a single run, which makes it effective in residue surveillance of anabolic hormones in muscle samples.

Authors
Hongwei' Zhang, Xue Cai, Liming Lin, Liangzhen Chen, Chengzhu Liang, Lei Bao, Zhixu Tang, Zengyuan Niu, Fengmei Wang