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保健食品中可能添加的毒品快速检测技术研究

步献功 李孟璇 牛悦齐 齐鹤鸣 张勋 李志远 邹明强 魏冬旭 胡婷婷

现代科学仪器2024,Vol.41Issue(5):33-39,7.
现代科学仪器2024,Vol.41Issue(5):33-39,7.

保健食品中可能添加的毒品快速检测技术研究

Study on Rapid Detection Technology of Drugs that May Be Added in Health Food

步献功 1李孟璇 1牛悦齐 2齐鹤鸣 3张勋 2李志远 4邹明强 5魏冬旭 6胡婷婷2

作者信息

  • 1. 长春海关技术中心,长春 130062||吉林大学公共卫生学院,长春 130000
  • 2. 长春海关技术中心,长春 130062
  • 3. 中国海关科学技术研究中心,北京 100026
  • 4. 上海爱博才思分析仪器贸易有限公司,北京 100015
  • 5. 中国检验检疫科学研究院,北京 100176
  • 6. 哈尔滨海关技术中心,哈尔滨 150000
  • 折叠

摘要

Abstract

An analytical method based on high performance liquid chromatography-high resolution time-of-flight mass spectrometry(HPLC-TOF/MS)was established for the qualitative and quantitative detection of 22 drugs that may be added to health food.The samples were extracted with acetonitrile,purified by HLB solid phase extraction column,separated by Phenomenex Kinetex F5 pentafluorophenyl column(100 mm×3.0mm,2.6μm)5 mmol·L-1 ammonium formate 0.1%formic acid aqueous solution,5 mmol·L-1 ammonium formate acetonitrile solution as mobile phase,detected by HPLC-TOF/MS,and quantified by external standard method.22 kinds of drugs in their respective linear range show a good linear relationship,the regression coefficient R2>0.9990.The limits of detection(LOD)for the 22 drugsare in the range of 0.2~2.0ng·g-1.The average recoveries of negative samples(tablets,capsules,liquids,soft capsules)at the spiked levels of 5,10,20 ng·g-1 are between 62.33%and 110.82%,and the relative standard deviations of the determination results were between 1.18%and 10.52%.The method has the advantagesof simply previous treatment process,shorter detection time,wide range of application,good sensitivity and accuracy,and is suitable for the detection of various drugs that may be added in health food.

关键词

高效液相色谱-高分辨飞行时间质谱/保健食品/毒品

Key words

high performance liquid chromatography-time-of-fight mass spectrometry/health food/drugs

分类

化学

引用本文复制引用

步献功,李孟璇,牛悦齐,齐鹤鸣,张勋,李志远,邹明强,魏冬旭,胡婷婷..保健食品中可能添加的毒品快速检测技术研究[J].现代科学仪器,2024,41(5):33-39,7.

基金项目

吉林省科技发展计划项目(重点研发项目)20210203045SF (重点研发项目)

海关总署科研项目2020HK182,中国海关科学技术研究中心研课题2023HX07,长春海关科技项目CCHG2023KY04. ()

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