文章摘要
刘晔;王远兴.基于UPLC-QTOF-MS技术对庐山云雾茶成分分析及真伪判别[J].中国食品学报,2020,20(7):269-277
基于UPLC-QTOF-MS技术对庐山云雾茶成分分析及真伪判别
Lu Mountain Clouds-Mist Tea samples Analysis of Lu Mountain Clouds-Mist Tea’s Composition and Authenticity Discrimination Based on UPLC-QTOF-MS
  
DOI:
中文关键词: 庐山云雾茶  超高效液相色谱-四极杆飞行时间串联质谱  黄酮  酚酸  正交偏最小二乘判别分析  真伪判别
英文关键词: Lu Mountain Clouds-Mist tea  UPLC-QTOF-MS  flavones  phenolic acids  PLS-DA  authenticity discrimination
基金项目:国家自然科学基金项目(31160321,31560478)
作者单位
刘晔;王远兴 南昌大学食品科学与技术国家重点实验室 
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中文摘要:
      采用UPLC-QTOF-MS技术分析庐山云雾茶提取物,93种化合物可初步鉴定,包括2种异黄酮,28种黄酮醇,16种黄烷醇,5种黄烷酮,11种有机酸,4种氨基酸,27种酚酸。通过对掺假绿茶与正宗庐山云雾茶特征提取定量对比,构建PLS-DA模型,对测试茶样进行真伪判别。采用此方法,庐山云雾茶真伪判别率为100%。
英文摘要:
      By using UPLC-QTOF-MS (ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry) to find the main antioxidant active components. The extractive of Lu Mountain Clouds-Mist tea measured by UPLC-QTOF-MS, and 93 kinds of compounds were preliminary identification, including 2 isoflavones, 28 Flavones, 16, 5 Flavanones, 11 organic acids, 4 amino acids and 27 phenolic acids. Lu Mountain Clouds-Mist tea by feature extraction and quantitative comparison, building PLS-DA model for testing the authenticity of tea samples. Results: the Lu Mountain Clouds-Mist tea can be authenticity identified and could be 100% correctly discriminated.
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