Enantioseparation and dissipation monitoring of oxathiapiprolin in grape using supercritical fluid chromatography tandem mass spectrometry

文献类型： 外文期刊

第一作者： Liu, Qianyu

作者： Liu, Qianyu;Liu, Yingchao;Liu, Qianyu;Dong, Fengshou;Xu, Jun;Liu, Xingang;Wu, Xiaohu;Li, Runan;Jiang, Duoduo;Wu, Xiuming;Zheng, Yongquan

作者机构：

关键词： dissipation; enantioselective separation; grape; oxathiapiprolin; supercritical fluid chromatography tandem mass spectrometry

期刊名称：JOURNAL OF SEPARATION SCIENCE （ 影响因子：3.645； 五年影响因子：2.943 ）

ISSN： 1615-9306

年卷期：

页码：

收录情况： SCI

摘要： Oxathiapiprolin is a chiral fungicide used in China for the prevention and treatment of grape downy mildew, but its potential risk could be inaccurately assessed without distinguishing its enantiomers. In this study, an effective and sensitive chiral analytical method was first established for quantification of oxathiapiprolin enantiomers using supercritical fluid chromatography tandem mass spectrometry. Baseline separation for oxathiapiprolin enantiomers was achieved for less than 3 min by using a Lux Cellulose-2 chiral column with the resolution of 1.51. The elution order of the eluting enantiomers was identified as (-)-oxathiapiprolin and (+)-oxathiapiprolin by an optical rotation detector. The grape samples were extracted by QuEChERS method, with the average recoveries of each enantiomer in grapes were in the range of 88.1-111.8% and the relative standard deviations were less than 18.9%. The enantioselective analysis of the dissipation of oxathiapiprolin in field grape samples showed that (-)-oxathiapiprolin was dissipated faster than (+)-oxathiapiprolin. The results indicate that this proposed method could provide data support for the risk assessment of oxathiapiprolin in agricultural produces in a more accurate way.

分类号：

  • 相关文献

[1]Enantioseparation and dissipation monitoring of oxathiapiprolin in grape using supercritical fluid chromatography tandem mass spectrometry. Liu, Qianyu,Liu, Yingchao,Liu, Qianyu,Dong, Fengshou,Xu, Jun,Liu, Xingang,Wu, Xiaohu,Li, Runan,Jiang, Duoduo,Wu, Xiuming,Zheng, Yongquan. 2020

作者其他论文 更多>>

微信小程序