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| 武当山区重楼红外指纹图谱研究 |
| 郑江萍1,程镇2,叶方1,2,胡杨根2,魏晋宝1,2,张晨宁1,2,孙良学3,唐祖德3 |
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| (1. 湖北医药学院附属十堰市太和医院,湖北十堰 442000;2. 湖北医药学院,湖北十堰 442000;3. 湖北济世药业有限责任公司,湖北十堰 442000) |
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| 摘要: |
| 目的:建立不同品种重楼属植物红外指纹图谱,为重楼药材的快速鉴别提供理论依据。方法:采用傅里叶变换红外光谱仪(FFIR)测定不同品种的重楼属植物,运用Nicolet Omnic Ver 8.2红外光谱处理软件对所获指纹图谱进行特征峰指认和二阶导数图谱对比分析。结果:不同品种重楼属植物的指纹图谱间有一定差异,二阶导数图谱比较差异较明显,可作为不同品种重楼属植物的鉴别特征。结论:红外指纹图谱法可快速鉴别不同品种重楼属植物,且操作简便、易行,对其他中药材的品种鉴定具有参考价值。 |
| 关键词: 重楼 七叶一枝花 红外指纹图谱 相似度 二阶导数 鉴别 |
| DOI：doi:10.13407/j.cnki.jpp.1672-108X.2016.10.016 |
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| 基金项目:湖北省教育厅2011计划,编号2011JH-2014CXTT13;2014年湖北省中青年创新团队项目,编号T201414。 |
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| Study on Infrared Fingerprint of Paris Polyphylla in Wudang Mountain Area |
| Zheng Jiangping1, Cheng Zhen2, Ye Fang1,2, Hu Yanggen1,2, Wei Jinbao1,2, Zhang Chenning1,2, Sun Liangxue3, Tang Zude3 |
| (1. Taihe Hospital Affiliated to Hubei Medicine University, Hubei Shiyan 442000, China; 2. Hubei Medicine University,
Hubei Shiyan 442000, China; 3. Hubei Jishi Pharmaceutical Co., Ltd., Hubei Shiyan 442000, China) |
| Abstract: |
| Objective: To establish an infrared fingerprint spectrum of different varieties of Paris polyphylla and provide a theoretical basis for Paris polyphylla's rapid identification. Methods: Using Fourier transform infrared spectroscopy (FFIR) to establish the IR fingerprint of different varieties of Paris polyphylla. Then the spectrogram was analyzed by Nicolet Omnic Ver8.0 Infrared Spectra. Results: The fingerprints of different varieties of the Paris polyphylla had certain differences. There were obvious differences by comparing their second derivative maps. So, it can be used as the distinguishing characteristics of the different varieties of the Paris polyphylla. Conclusion: Infrared fingerprint method can be used to quickly identify different varieties of Paris polyphylla. Moreover, it
is simple and easy for manipulation. So, it has some reference meaning and guidance for the identification of other varieties of traditional Chinese medicine materials. |
| Key words: Paris polyphylla Paris polyphlla var. chinensis infrared fingerprint similarity second derivative identification |
