首页> 外文会议>ASMS Conference on Mass Spectrometry and Allied Topics >The Applicability of MALDI-MS to High-throughput Metabolic Profling of Diverse Green Tea Extracts with Antioxidant Activity
【24h】

The Applicability of MALDI-MS to High-throughput Metabolic Profling of Diverse Green Tea Extracts with Antioxidant Activity

机译:MALDI-MS与抗氧化活性不同绿茶提取物的高通量代谢分析的适用性

获取原文

摘要

Background: Metabolic profiling can provide information on the relationship between the metabolome (global low-molecular weight-compound profiles) and bioactivity. Here, we performed metabolomic analyses to explore the relationship between the metabolome and antioxidant activity of diverse Japanese green tea cultivars (Camellia sinensis L.). Method/Result: We investigated the ability of hot water extracts from 19 cultivars of Japanese green tea leaves to exhibit the oxygen radical absorbance capacity (ORAC), one of the simple antioxidant assays. Among the tested cultivars, Syunmei showed the highest ORAC. Ranking of Yabukita, the most commonly consumed cultivar in Japan, was 15th. To evaluate the bioactivity of green tea cultivars using a metabolomics approach, metabolite profiles of all tea extracts were determined by matrix-assisted laser desorption ionization-mass spectrometry (MALDI-MS). Multivariate analyses revealed differences among green tea cultivars with respect to their ORAC. In Syunmei cultivar, polyphenols were associated with is metabolic profile and bioactivity. In addition, using partial least-squares regressio analysis, we succeeded in contructing a reliable bioactivity-predictio model to predict the ORAC of tea cultivars based on their metabolome.
机译:背景:代谢分析可以提供关于代谢组(全球低分子量化合物简档)和生物活性之间的关系的信息。在这里,我们进行代谢分析,探讨代谢和多样化的日本绿茶品种的抗氧化活性(茶树L.)之间的关系。方法/结果:我们研究了热水提取物对日本绿茶叶品种19表现出的氧自由基吸收能力(ORAC),简单的抗氧化剂测定之一的能力。供试品种,Syunmei表现出最高的ORAC。排名薮北茶,在日本是最普遍食用的品种,是第15届。为了评价使用代谢接近绿茶品种的生物活性,所有茶提取物的代谢物谱被通过基质辅助激光解吸电离质谱(MALDI-MS)测定。多变量分析显示绿茶品种间差异相对于他们的ORAC。在Syunmei品种,多酚与相关代谢是轮廓和生物活性。此外,使用偏最小二乘regressio分析,我们成功地contructing可靠的生物活性,predictio模型来预测基于其代谢茶树品种的ORAC。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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