School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, No. 280, Outer Ring Road East, Higher Education Mega Center, 510006 Guangdong, PR China.
School of Traditional Chinese Medicine, Guangdong Pharmaceutical University, No. 280, Outer Ring Road East, Higher Education Mega Center, 510006 Guangdong, PR China.
Spectrochim Acta A Mol Biomol Spectrosc. 2020 Apr 5;230:118080. doi: 10.1016/j.saa.2020.118080. Epub 2020 Jan 17.
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.
药品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。在本研究中，我们开发了一种气相色谱-质谱联用分离方法，用于挥发性成分的定性和定量分析，以及一种高效液相色谱-质谱联用分离方法，用于鉴定厚朴中的木脂素。通过比较它们的色谱行为和质谱数据与文献中的数据，鉴定了 79 种挥发性成分和 11 种木脂素。然后，我们使用这些方法来测定厚朴中挥发性成分（1,8-桉油精、d-柠檬烯、α-松油醇、芳樟醇、L-樟脑脑和乙酸龙脑酯）和木脂素（表桉叶素、厚朴酚、表厚朴酚 A 和厚朴酚）的含量。随后，我们通过偏最小二乘回归法建立了包括挥发性成分（1,8-桉油精、d-柠檬烯、α-松油醇、芳樟醇、L-樟脑脑和乙酸龙脑酯）、水溶性提取物、木脂素（松柏醇二甲醚、厚朴酚、表厚朴酚 A 和厚朴酚）和水分在内的 13 种定性模型。通过近红外光谱法，利用偏最小二乘回归建立了近红外光谱法（NIR）预测模型。参考值由高效液相色谱法、气相色谱法等方法获得，而预测值则由近红外光谱获得。与传统检测方法相比，NIR 技术显著提高了厚朴质量评估的能力，具有方便、快速、高效、低成本、对样品无损伤、无试剂消耗、无污染环境等优点。此外，我们还提出了一种将药物分析与药物化学相结合的系统分析方法，从同一样品中提取挥发性成分、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，有利于厚朴的全面质量控制。
