Yang Jianbo, Yao Lingwen, Gong Kaiyan, Li Kailin, Sun Lei, Cai Wei
Institute for Control of Chinese Traditional Medicine and Ethnic Medicine & National Institutes for Food and Drug Control, Beijing 100050, P.R. China.
School of Pharmaceutical Sciences & Hunan University of Medicine, Huaihua 418000, P.R. China.
ACS Omega. 2022 Jul 11;7(29):25675-25685. doi: 10.1021/acsomega.2c02899. eCollection 2022 Jul 26.
The purpose of this study is to identify and quantify the chlorogenic acids (CGAs) from the root bark of , which is conventionally regarded as a tonic in folk Chinese Traditional medicine. The effective methods for identification and quantification analysis of CGAs were developed based on ultra high performance liquid chromatography-Q-exactive orbitrap mass spectrometry (UHPLC-Q-Orbitrap MS) in parallel reaction monitoring (PRM) and selected reaction monitoring (SIM), which showed high sensitivity and resolution for screening and quantifying compounds. The root bark of was extracted under ultrasonication with 70% methanol. Ultimately, a for total of 70 CGAs, 64 of these were tentatively identified for the first time. Moreover, a methodological study of seven kinds of CGAs was carried out. The proposed procedure was optimized and validated in terms of selectivity, linearity of analytical curves ( > 0.990), accuracy (recovery range from 96.7 to 105%), and repeatability (relative standard deviation <5%). Then it was applied to determine the content of the CGAs in roots from 66 of different batches. The total CGAs was quantified in a range between 2.150 and 33.51 mg/g, which could be considered as excellent source of natural bioactive compound. The result was extremely useful for understanding the bioactive substance and quality control of in depth.
本研究的目的是鉴定和定量来自[植物名称未给出]根皮中的绿原酸（CGAs），该植物在传统中医中被视为滋补品。基于超高效液相色谱-Q-Exactive轨道阱质谱（UHPLC-Q-Orbitrap MS）的平行反应监测（PRM）和选择反应监测（SIM），开发了用于CGAs鉴定和定量分析的有效方法，该方法对化合物的筛选和定量具有高灵敏度和分辨率。[植物名称未给出]的根皮用70%甲醇超声提取。最终，共鉴定出70种CGAs，其中64种为首次初步鉴定。此外，还对7种CGAs进行了方法学研究。所提出的方法在选择性、分析曲线线性（r > 0.990）、准确度（回收率范围为96.7%至105%）和重复性（相对标准偏差<5%）方面进行了优化和验证。然后将其应用于测定66个不同批次[植物名称未给出]根中CGAs的含量。总CGAs的定量范围为2.150至33.51 mg/g，可被视为天然生物活性化合物的优质来源。该结果对于深入了解[植物名称未给出]的生物活性物质和质量控制极为有用。
