Pongsuwan Wipawee, Bamba Takeshi, Harada Kazuo, Yonetani Tsutomu, Kobayashi Akio, Fukusaki Eiichiro
Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1, Yamadaoka, Suita, Osaka, Japan.
J Agric Food Chem. 2008 Nov 26;56(22):10705-8. doi: 10.1021/jf8018003.
Applications of metabolomics techniques along with chemometrics provide an understanding in the relationship between metabolome of green tea and its quality. A coupled of ultra-performance liquid chromatography with time-of-flight mass spectrometry (UPLC/TOF MS) allowed a high-throughput and comprehensive analysis with minimal sample preparation. Using this technique, a wide range of metabolites were investigated. Data analysis was rapid, considering that the fingerprinting technique was performed. A set of green tea samples from 2006 tea contest of the Kansai area was analyzed to prove usefulness of the developed technique. Green tea with different qualities were discriminated through principal component analysis (PCA). Consequently, projection to latent structure by means of partial least-squares (PLS) was performed to create a constructive quality-predictive model by means of metabolic fingerprinting. Beside epigallocatechin, other predominant catechins, including epigallocatechin gallate and epicatechin gallate, detected in green tea were found to be significant biomarkers to the high quality of Japanese green tea (Sencha).
代谢组学技术与化学计量学的应用有助于理解绿茶代谢组与其品质之间的关系。超高效液相色谱与飞行时间质谱联用（UPLC/TOF MS）能够在样品制备最少的情况下进行高通量和全面的分析。利用该技术，对多种代谢物进行了研究。考虑到采用了指纹图谱技术，数据分析速度很快。分析了一组来自关西地区2006年茶叶竞赛的绿茶样品，以证明所开发技术的实用性。通过主成分分析（PCA）对不同品质的绿茶进行了区分。因此，借助偏最小二乘法（PLS）进行潜在结构投影，以通过代谢指纹图谱建立一个具有建设性的品质预测模型。除表没食子儿茶素外，在绿茶中检测到的其他主要儿茶素，包括表没食子儿茶素没食子酸酯和表儿茶素没食子酸酯，被发现是日本绿茶（煎茶）高品质的重要生物标志物。
