Huang Yang, Wang Tiejie, Fillet Marianne, Crommen Jacques, Jiang Zhengjin
Institute of Pharmaceutical Analysis, College of Pharmacy, Jinan University, Guangzhou 510632, China.
Shenzhen Institute for Drug Control, Shenzhen, China.
J Pharm Anal. 2019 Aug;9(4):254-258. doi: 10.1016/j.jpha.2019.05.001. Epub 2019 May 10.
Tea is a widely consumed beverage and has many important physiological properties and potential health benefits. In this study, a novel method based on supercritical fluid chromatography coupled with mass spectrometry (SFC-MS) was developed to simultaneously determine 11 amino acids in different types of tea (green teas, Oolong tea, black tea and Pu-erh tea). The separation conditions for the analysis of the selected amino acids including the column type, temperature and backpressure as well as the type of additive, were carefully optimized. The best separation of the 11 amino acids was obtained by adding water (5%, v/v) and trifluoroacetic acid (0.4%, v/v) to the organic modifier (methanol). Finally, the developed SFC-MS method was fully validated and successfully applied to the determination of these amino acids in six different tea samples. Good linearity ( ≥ 0.993), precision (RSDs ≤ 2.99%), accuracy (91.95%-107.09%) as well as good sample stability were observed. The limits of detection ranged from 1.42 to 14.69 ng/mL, while the limits of quantification were between 4.53 and 47.0 ng/mL. The results indicate that the contents of the 11 amino acids in the six different tea samples are greatly influenced by the degree of fermentation. The proposed SFC-MS method shows a great potential for further investigation of tea varieties.
茶是一种广泛消费的饮品,具有许多重要的生理特性和潜在的健康益处。在本研究中,开发了一种基于超临界流体色谱-质谱联用(SFC-MS)的新方法,用于同时测定不同类型茶叶(绿茶、乌龙茶、红茶和普洱茶)中的11种氨基酸。对所选氨基酸分析的分离条件,包括柱类型、温度、背压以及添加剂类型,进行了仔细优化。通过向有机改性剂(甲醇)中加入水(5%,v/v)和三氟乙酸(0.4%,v/v),实现了11种氨基酸的最佳分离。最后,所开发的SFC-MS方法经过全面验证,并成功应用于六个不同茶叶样品中这些氨基酸的测定。观察到良好的线性(≥0.993)、精密度(RSDs≤2.99%)、准确度(91.95%-107.09%)以及良好的样品稳定性。检测限范围为1.42至14.69 ng/mL,而定量限在4.53至47.0 ng/mL之间。结果表明,六个不同茶叶样品中11种氨基酸的含量受发酵程度的影响很大。所提出的SFC-MS方法在进一步研究茶叶品种方面显示出巨大潜力。