Suppr超能文献

采用 HPLC 二极管阵列和化学发光检测法筛选黄芩中的自由基清除剂。

Screening of radical scavengers in Scutellaria baicalensis using HPLC with diode array and chemiluminescence detection.

机构信息

State Key Laboratory of Natural Medicines, Department of Natural Medicinal Chemistry, China Pharmaceutical University, People's Republic of China.

出版信息

J Sep Sci. 2012 Sep;35(17):2223-7. doi: 10.1002/jssc.201200156. Epub 2012 Jul 20.

Abstract

Scutellaria baicalensis Georgi is a well-known medical plant widely used as a famous traditional Chinese medicine. It has been reported that S. baicalensis can protect against oxidative stress and possess anti-inflammatory effect. In the present paper, an HPLC-diode array-chemiluminescence detection method for on-line detection was successfully developed to screen antioxidants in complex S. baicalensis extracts. Using the proposed approach, eight compounds in the S. baicalensis extracts were found to possess a potential antioxidant activity. Furthermore, the effects of purified compounds on protecting RAW 264.7 cells from hydrogen peroxide injury were also investigated in vitro to confirm the established method, which were consistent with the results of HPLC-diode array-chemiluminescence detection method. These results demonstrated that this method was a useful technique for rapidly screening and identifying bioactive components from complex herbal medicines.

摘要

黄芩是一种广为人知的药用植物,被广泛用作著名的中药。据报道,黄芩能抵抗氧化应激,具有抗炎作用。在本研究中,建立了一种高效液相色谱-二极管阵列-化学发光检测法,用于在线检测黄芩提取物中的抗氧化剂。利用该方法,发现黄芩提取物中的 8 种化合物具有潜在的抗氧化活性。此外,还在体外研究了纯化化合物对 RAW 264.7 细胞过氧化氢损伤的保护作用,以验证所建立的方法,其结果与高效液相色谱-二极管阵列-化学发光检测法的结果一致。这些结果表明,该方法是一种从复杂中草药中快速筛选和鉴定生物活性成分的有用技术。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验