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在线监测迷迭香叶提取过程的湿化学分析、UHPLC 分析和新开发的近红外光谱分析方法。

At-Line Monitoring of the Extraction Process of Rosmarini Folium via Wet Chemical Assays, UHPLC Analysis, and Newly Developed Near-Infrared Spectroscopic Analysis Methods.

机构信息

Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innrain 80/82, 6020 Innsbruck, Austria.

School of Science and Technology, Kwansei Gakuin University, Gakuen, Sanda, Hyogo 669-1337, Japan.

出版信息

Molecules. 2019 Jul 6;24(13):2480. doi: 10.3390/molecules24132480.

Abstract

The present study demonstrates the applicability of at-line monitoring of the extraction process of L. leaves (Rosmarini folium) and the development of near-infrared (NIR) spectroscopic analysis methods. Therefore, whole dried Rosmarini folium samples were extracted by maceration with 70% (/) ethanol. For the experimental design three different specimen-taking plans were chosen. At first, monitoring was carried out using three common analytical methods: (a) total hydroxycinnamic derivatives according to the European Pharmacopoeia, (b) total phenolic content according to Folin-Ciocalteu, and (c) rosmarinic acid content measured by UHPLC-UV analysis. Precision validation of the wet chemical assays revealed a repeatability of (a) 0.12% relative standard deviation (RSD), (b) 1.1% RSD, and (c) 0.28% RSD, as well as an intermediate precision of (a) 4.1% RSD, (b) 1.3% RSD, and (c) 0.55% RSD. The collected extracts were analyzed with a NIR spectrometer using a temperature-controlled liquid attachment. Samples were measured in transmission mode with an optical path length of 1 mm. The combination of the recorded spectra and the previously obtained analytical reference values in conjunction with multivariate data analysis enabled the successful establishment of partial least squares regression (PLSR) models. Coefficients of determination (R) were: (a) 0.94, (b) 0.96, and (c) 0.93 (obtained by test-set validation). Since Pearson correlation analysis revealed that the reference analyses correlated with each other just one of the PSLR models is required. Therefore, it is suggested that PLSR model (b) be used for monitoring the extraction process of Rosmarini folium. The application of NIR spectroscopy provides a fast and non-invasive alternative analysis method, which can subsequently be implemented for on- or in-line process control.

摘要

本研究展示了在线监测迷迭香叶(Rosmarini folium)提取过程的适用性,并开发了近红外(NIR)光谱分析方法。因此,将整个干燥的迷迭香叶样品用 70%(/)乙醇进行浸渍提取。对于实验设计,选择了三种不同的取样方案。首先,使用三种常用的分析方法进行监测:(a)根据欧洲药典测定总羟基肉桂酸衍生物,(b)根据福林-肖卡尔特法测定总酚含量,(c)通过 UHPLC-UV 分析测定迷迭香酸含量。湿化学分析的精密度验证表明,(a)的重复性为 0.12%相对标准偏差(RSD),(b)为 1.1% RSD,(c)为 0.28% RSD,中间精密度为(a)4.1% RSD,(b)1.3% RSD,(c)0.55% RSD。使用带控温液体附件的 NIR 光谱仪对收集的提取物进行分析。样品以 1mm 的光程在透射模式下进行测量。将记录的光谱与之前获得的分析参考值以及多元数据分析相结合,成功建立了偏最小二乘回归(PLSR)模型。决定系数(R)为:(a)0.94,(b)0.96,(c)0.93(通过测试集验证获得)。由于 Pearson 相关分析表明参考分析彼此相关,因此只需要一个 PLSR 模型。因此,建议使用 PLSR 模型(b)来监测迷迭香叶的提取过程。NIR 光谱学的应用提供了一种快速、非侵入性的替代分析方法,随后可以将其用于在线或过程控制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84fc/6651447/821a91cf5a8c/molecules-24-02480-g001.jpg

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