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Development of a comprehensive quality control method for the quantitative analysis of volatiles and lignans in Magnolia biondii Pamp. by near infrared spectroscopy.
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy ( IF 4.3 ) Pub Date : 2020-01-17 , DOI: 10.1016/j.saa.2020.118080
Junni Li 1 , Jinfeng Wen 1 , Gengqiu Tang 1 , Rong Li 1 , Huanjia Guo 1 , Wenfeng Weng 1 , Dong Wang 1 , Shengguo Ji 1
Affiliation  

The quality of drug is vital to its curative effect, thus it is important to develop a comprehensive quality control method for commonly used drugs. In this study, we developed a Gas chromatography-mass spectrometry separation method for the qualitative and quantitative analysis of volatiles, together with a High-performance liquid chromatography-mass spectrometry separation method for lignans in Magnolia biondii Pamp.. 79 volatiles and 11 lignans were identified via comparing their chromatographic behavior and mass spectra data with those in the literature. The methods were then used to determine the contents of volatiles (1, 8-cineole, d-Limonene, α-terpineol, linalool, L-camphor brain and bornyl acetate) and lignans (epieudesmin, magnolin, epi-magnolin A and fargesin) in Magnolia biondii Pamp.. Subsequently, 13 qualitative models including volatiles (1, 8-cineole, d-Limonene, α-terpineol, linalool, L-camphor brain and bornyl acetate), water-soluble extractive, lignans (pinoresinol dimethyl ether, magnolin, epi-magnolin A and fargesin) and moisture were developed by Near-Infrared Spectroscopy based on partial least square regression herein. The reference values were obtained by High-performance liquid chromatography, Gas chromatography and etc., while the predicted values were attained from the NIR spectrum. Compared with the traditional detection methods, NIR technique methodology significantly improved the ability to evaluate the quality of Magnolia biondii Pamp., which had the advantages of convenience, celerity, highly efficiency, low cost, no harm to samples, no reagent consumption, and no pollution to the environment. Moreover, the systematic analysis method combined pharmaceutical analysis with pharmacochemistry was proposed to prepare volatiles, water-soluble extractive and lignans parts from the same sample. This way could extract more index components to be beneficial in the quality control of Magnolia biondii Pamp. roundly.

中文翻译:

开发用于定量测定木兰木兰挥发物和木脂素含量的综合质量控制方法。通过近红外光谱。

药物的质量对其疗效至关重要,因此开发一种常用药物的全面质量控制方法非常重要。在这项研究中,我们开发了气相色谱-质谱分离方法对挥发物进行定性和定量分析,以及高效液相色谱-质谱分离方法对木兰木兰中木脂素的分离。79种挥发物和11种木脂素是通过将它们的色谱行为和质谱数据与文献中的色谱数据进行比较,可以确定。然后使用这些方法测定挥发物(1、8-桉树脑,d-柠檬烯,α-松油醇,芳樟醇,L-樟脑脑和醋酸冰片酯)和木脂素(上皮素,厚朴素,表皮厚朴素A和fargesin)的含量。在木兰木兰。13种定性模型,包括挥发物(1、8-桉树脑,d-柠檬烯,α-松油醇,芳樟醇,L-樟脑脑和乙酸冰片酯),水溶性提取物,木脂素(松脂醇二甲醚,厚朴素,表甘露聚糖A和fargesin根据本文的偏最小二乘回归,通过近红外光谱法测定)和水分。参考值是通过高效液相色谱法,气相色谱法等获得的,而预测值则是从近红外光谱获得的。与传统的检测方法相比,近红外技术方法显着提高了对木兰质量评价的能力,具有方便,快捷,高效,成本低,对样品无害,无试剂消耗,无污染的优点。对环境的污染。此外,提出了将药物分析与药物化学相结合的系统分析方法,从同一样品中制备挥发物,水溶性提取物和木脂素部分。这种方法可以提取更多的指标成分,从而有利于木兰木兰品质的控制。全面地
更新日期:2020-01-17
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