Suppr超能文献

通过联合使用薄层色谱和比率表面增强拉曼光谱技术,快速分析、预测和发现草药中的生物活性化合物。

Toward rapid analysis, forecast and discovery of bioactive compounds from herbs by jointly using thin layer chromatography and ratiometric surface-enhanced Raman spectroscopy technique.

机构信息

School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu, 211166, China.

Key Laboratory of Cardiovascular and Cerebrovascular Drug Research of Jiangsu Province, Nanjing Medical University, Nanjing 211166,China.

出版信息

J Pharm Biomed Anal. 2018 May 10;153:9-15. doi: 10.1016/j.jpba.2018.02.016. Epub 2018 Feb 11.

Abstract

Conventional isolation and identification of active compounds from herbs have been extensively reported by using various chromatographic and spectroscopic techniques. However, how to quickly discover new bioactive ingredients from natural sources still remains a challenging task due to the interference of their similar structures or matrices. Here, we present a grand approach for rapid analysis, forecast and discovery of bioactive compounds from herbs based on a hyphenated strategy of thin layer chromatography and ratiometric surface-enhanced Raman spectroscopy. The performance of the hyphenated strategy is first evaluated by analyzing four protoberberine alkaloids, berberine (BER), coptisine (COP), palmatine (PAT) and jatrorrhizine (JAT), from a typical herb Coptidis Rhizoma as an example. It has been demonstrated that this coupling method can identify the four compounds by characteristic peaks at 728, 708, 736 and 732 cm, and especially discriminate BER and COP (with similar migration distances) by ratiometric Raman intensity (I/I). The corresponding limits of detection are 0.1, 0.05, 0.1 and 0.5 μM, respectively, which are about 1-2 orders of magnitude lower than those of direct observation method under 254 nm UV lamp. Based on these findings, the proposed method further guides forecast and discovery of unknown compounds from traditional Chinese herb Typhonii Rhizoma. Results infer that two trace alkaloids (BER and COP) from the n-butanol extract of Typhonii Rhizoma are found for the first time. Moreover, in vitro experiments manifest that BER can effectively decrease the viability of human glioma U87 cells by inducing cell cycle arrest in a concentration-dependent manner.

摘要

传统的从草药中分离和鉴定活性化合物的方法已经广泛报道,使用了各种色谱和光谱技术。然而,由于其相似的结构或基质的干扰,如何从天然来源中快速发现新的生物活性成分仍然是一项具有挑战性的任务。在这里,我们提出了一种基于薄层层析和比率表面增强拉曼光谱联用策略的从草药中快速分析、预测和发现生物活性化合物的新方法。该联用策略的性能首先通过分析从典型草药黄连中提取的四种原小檗碱生物碱(小檗碱(BER)、黄连碱(COP)、巴马汀(PAT)和药根碱(JAT))来评估。结果表明,该耦合方法可以通过 728、708、736 和 732 cm 处的特征峰来识别这四种化合物,并且特别通过比率拉曼强度(I/I)来区分 BER 和 COP(具有相似的迁移距离)。相应的检测限分别为 0.1、0.05、0.1 和 0.5 µM,比 254nm 紫外灯下直接观察法低 1-2 个数量级。基于这些发现,该方法进一步指导了从传统中药天南星属植物中未知化合物的预测和发现。结果推断,天南星属植物正丁醇提取物中的两种痕量生物碱(BER 和 COP)首次被发现。此外,体外实验表明,BER 可以通过诱导细胞周期阻滞以浓度依赖的方式有效降低人胶质母细胞瘤 U87 细胞的活力。

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