光谱学与光谱分析, 2012, 32 (8): 2176, 网络出版: 2012-09-26   

药用植物重楼的紫外吸收光谱分析与鉴别

Ultraviolet Absorption Spectrum Analysis and Identification of Medicinal Plants of Paris
作者单位
1 云南省农业科学院药用植物研究所研发部, 云南 昆明 650223
2 云南瑞升烟草技术(集团)有限公司研发部, 云南 昆明 650106
3 红云红河烟草(集团)有限责任公司研发部, 云南 昆明 650000
摘要
通过正交试验设计L43(16)优化氯仿、 无水乙醇和水对46份重楼样品的提取条件, 基于紫外吸收光谱检测, 采用平均值、 平滑和二次微分对光谱数据进行处理, 用SIMCA软件及共有峰和变异峰双指标序列分析法进行定性、 定量评价。 结果表明, 重楼样品在氯仿、 无水乙醇和水分别提取50, 40, 50 min时提取率最高, 在20 h内稳定性RSD%分别在0.06~1.88, 0.05~2.42, 0.03~0.35之间, 精密度RSD%分别在0~1.48, 0.05~0.37, 0.09~0.44之间, 重现性RSD%分别为0~1.23, 0.04~0.30, 0.12~0.25。 定性分析显示, 重楼样品不同种、 不同产区间存在较大差异; 定量分析显示, 重楼样品间最大共有峰率为80.00%, 最小变异峰率为6.25%。 该法定性评价不同种及不同产区间的重楼样品, 并定量分析任意两个样品间的差异, 阐明重楼种间及不同产区间的相似度, 为中药材真伪、 品种鉴别和品质评价奠定基础。
Abstract
Species of Paris are important medicinal plants of China. They possess anticancer, hot alexipharmic, detumescence, acesodyne, and arrest blood and remove blood stasis effects. They are the main raw material for several Chinese patent drugs such as “Yunnan Baiyao”, “Gong Xue Ning”, “Re Du Qing” and “Ji De Sheng Sheyaopian”. The present paper, through optimizing the chloroform, absolute ethyl alcohol and water extraction condition of Paris by orthogonal test L43 (16), using mean value, smoothness and second differential methods on the observed UV spectrum, to inspects the RSD of stability and repeatability of different waveband. By SIMCA and the common and variant peak ratio dual index sequence analysis method, it evaluated the quality and quantity of Paris. The results showed that at the time of 50, 40 and 50 min, chloroform, absolute ethyl alcohol and water had the highest extraction ratios. Within 20 h, the RSDs of stability were 0.06~1.88, 0.05~2.42 and 0.03 ~0.35; the RSDs of accuracy were 0~1.48, 0.05~0.37 and 0.09~0.44; and the RSDs of repeatability were 0~1.23, 0.04~0.30 and 0.12~0.25 respectively. The qualitative analysis revealed large differences between different Paris species and different areas. The quantitative analysis indicated that the highest common peak ratio among the Paris samples was 80.00% and the lowest variant peak ratio was 6.25%. The method evaluated Paris of different species and from different producing areas, and also quantitatively assessed the arbitrary two samples, clarified the similarity between the species and areas of Paris, which provided basis of distinguishing the real and false, identification of variety and quality evaluation for Chinese herbal medicine.

张金渝, 王元忠, 赵艳丽, 杨绍兵, 张霁, 袁天军, 王家俊, 金航. 药用植物重楼的紫外吸收光谱分析与鉴别[J]. 光谱学与光谱分析, 2012, 32(8): 2176. ZHANG Jin-yu, WANG Yuan-zhong, ZHAO Yan-li, YANG Shao-bing, ZHANG Ji, YUAN Tian-jun, WANG Jia-jun, JIN Hang. Ultraviolet Absorption Spectrum Analysis and Identification of Medicinal Plants of Paris[J]. Spectroscopy and Spectral Analysis, 2012, 32(8): 2176.

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