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采用超高效液相色谱-四级杆-飞行时间质谱联用技术结合多种统计策略对酒蒸制后大黄汤中多种成分进行分析和表征

Profiling and analysis of multiple compounds in rhubarb decoction after processing by wine steaming using UHPLC-Q-TOF-MS coupled with multiple statistical strategies.

作者信息

Zhu Tingting, Liu Xiao, Wang Xiaoli, Cao Gang, Qin Kunming, Pei Ke, Zhu Hui, Cai Hao, Niu Minjie, Cai Baochang

机构信息

School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, PR China.

Engineering Center of State Ministry of Education for Standardization of Chinese Medicine Processing, Nanjing University of Chinese Medicine, Nanjing, PR China.

出版信息

J Sep Sci. 2016 Aug;39(15):3081-90. doi: 10.1002/jssc.201600256. Epub 2016 Jul 12.

Abstract

Rhubarb is one of the most popular traditional Chinese medicines and has been used for thousands of years in many Asian countries. Prepared rhubarb is obtained by steaming raw rhubarb with glutinous rice wine until it turned black in appearance both inside and outside. After processing, the therapeutic effects of prepared rhubarb change a lot. To find out the exact compound changes of the chemical profile in a decoction of rhubarb after processing and to clarify the material basis of the changed therapeutic effects, an ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry method coupled with automated data analysis software and statistical strategy was developed. As a result, 63 peaks in raw rhubarb and 54 peaks in prepared rhubarb were detected, and a total of 45 chemical compounds were identified. The analysis data were subjected to a principle component analysis and a t-test. Based on the results, 16 peaks were found to be the main contributors to the significant difference (p < 0.05) between raw and prepared rhubarb. Compared with raw rhubarb, the content of 15 components in prepared rhubarb was lower, while only rhein (1,8-dihydroxy-3-carboxy anthraquinone) showed a higher intensity.

摘要

大黄是最受欢迎的传统中药之一,在许多亚洲国家已有数千年的使用历史。熟大黄是通过将生大黄与糯米酒一起蒸煮直至其内外均变黑而获得的。加工后,熟大黄的治疗效果发生了很大变化。为了找出加工后大黄汤剂中化学成分的确切变化,并阐明治疗效果改变的物质基础,开发了一种结合自动数据分析软件和统计策略的超高效液相色谱-四极杆飞行时间质谱法。结果,检测到生大黄中的63个峰和熟大黄中的54个峰,共鉴定出45种化合物。对分析数据进行主成分分析和t检验。基于结果,发现16个峰是生大黄和熟大黄之间显著差异(p < 0.05)的主要贡献者。与生大黄相比,熟大黄中15种成分的含量较低,而只有大黄酸(1,8-二羟基-3-羧基蒽醌)显示出更高的强度。

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