• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Journal of Zhejiang University. Science. B >Volatile profile analysis and quality prediction of Longjing tea (Camellia sinensis) by HS-SPME/GC-MS
【2h】

Volatile profile analysis and quality prediction of Longjing tea (Camellia sinensis) by HS-SPME/GC-MS

机译：HS-SPME / GC-MS分析龙井茶的挥发性成分并进行质量预测

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This study aimed to analyze the volatile chemical profile of Longjing tea, and further develop a prediction model for aroma quality of Longjing tea based on potent odorants. A total of 21 Longjing samples were analyzed by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography-mass spectrometry (GC-MS). Pearson’s linear correlation analysis and partial least square (PLS) regression were applied to investigate the relationship between sensory aroma scores and the volatile compounds. Results showed that 60 volatile compounds could be commonly detected in this famous green tea. Terpenes and esters were two major groups characterized, representing 33.89% and 15.53% of the total peak area respectively. Ten compounds were determined to contribute significantly to the perceived aroma quality of Longjing tea, especially linalool (0.701), nonanal (0.738), (Z)-3-hexenyl hexanoate (−0.785), and β-ionone (−0.763). On the basis of these 10 compounds, a model (correlation coefficient of 89.4% and cross-validated correlation coefficient of 80.4%) was constructed to predict the aroma quality of Longjing tea. Summarily, this study has provided a novel option for quality prediction of green tea based on HS-SPME/GC-MS technique.
机译：本研究旨在分析龙井茶的挥发性化学特征，并进一步建立基于强香体的龙井茶香气质量预测模型。通过顶空固相微萃取（HS-SPME）结合气相色谱-质谱（GC-MS）分析了总共21个龙井样品。皮尔逊（Pearson）的线性相关分析和偏最小二乘（PLS）回归用于研究感官香气评分与挥发性化合物之间的关系。结果表明，在这种著名的绿茶中通常可以检测出60种挥发性化合物。萜烯和酯是两个主要特征，分别占总峰面积的33.89％和15.53％。确定了十种化合物对龙井茶的感知香气质量有显着贡献，尤其是芳樟醇（0.701），壬醛（0.738），（Z）-3-己烯己酸（-0.785）和β-紫罗兰酮（-0.​​763）。在这10种化合物的基础上，构建了一个模型（相关系数为89.4％，交叉验证的相关系数为80.4％）来预测龙井茶的香气质量。综上所述，本研究为基于HS-SPME / GC-MS技术的绿茶质量预测提供了新的选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号