Suppr超能文献

利用拉曼和红外光谱定量测定驴蹄草中的有效成分。

Quantification of active ingredients in Potentilla tormentilla by Raman and infrared spectroscopy.

机构信息

Department of Chemistry, University of Wrocław, 14 F. Joliot-Curie, 50-383 Wrocław, Poland.

Department of Pharmacognosy, Wrocław Medical University, 211 Borowska, 50-556 Wrocław, Poland.

出版信息

Talanta. 2018 Nov 1;189:308-314. doi: 10.1016/j.talanta.2018.07.012. Epub 2018 Jul 6.

Abstract

The most important active compounds present in Potentilla tormentilla rhizomes were quantitatively determined on the basis of Raman, attenuated total reflection (ATR) and diffuse reflectance mid- and near- infrared spectra (DRIFTS) collected for the untreated plant material. Partial least-squares (PLS) models were constructed utilizing vibrational spectra and the results of reference high-performance liquid chromatography analyses. Applying Raman spectroscopy, total polyphenols, tannins, ellagitannins, procyanidins, agrimoniin, 3-O-galloylquininc acid and catechin were simultaneously quantified in tormentil rhizomes, with the relative standard errors of prediction in the 2.0-4.9% range for both calibration and validation sets. These error ranges were found to be slightly higher for infrared techniques and amounted to 2.7-6.5%.

摘要

基于拉曼、衰减全反射(ATR)和漫反射中红外光谱(DRIFTS)采集的未处理植物材料的光谱,定量测定了委陵菜根茎中最重要的活性化合物。利用振动光谱和参考高效液相色谱分析的结果,构建了偏最小二乘(PLS)模型。应用拉曼光谱,同时定量测定了委陵菜根茎中的总多酚、单宁、鞣花单宁、原花青素、仙鹤草酚、3-O-没食子酰奎宁酸和儿茶素,校准集和验证集的预测相对标准误差均在 2.0-4.9%范围内。对于红外技术,这些误差范围略高,为 2.7-6.5%。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验