| 引用本文: | 胡轶娟,王佳晨,梁卫青,徐攀,张宏建,楼柯浪,俞叶飞,王盼,陈子林,浦锦宝.近红外光谱技术快速鉴别前胡药材及其伪品[J].中国现代应用药学,2019,36(14):1749-1753. |
| HU Yijuan,WANG Jiachen,LIANG Weiqing,XU Pan,ZHANG Hongjian,LOU Kelang,YU Yefei,WANG Pan,CHEN Zilin,PU Jinbao.Rapid Identification of Peucedani Radix and Its Adulterants by Near-infrared Spectroscopy[J].Chin J Mod Appl Pharm(中国现代应用药学),2019,36(14):1749-1753. |
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| 近红外光谱技术快速鉴别前胡药材及其伪品 |
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胡轶娟1, 王佳晨2, 梁卫青1, 徐攀1, 张宏建1, 楼柯浪1, 俞叶飞3, 王盼3, 陈子林3, 浦锦宝1
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1.浙江省中医药研究院浙江省中药新药研发重点实验室, 杭州 310007;2.浙江工业大学化学工程学院, 杭州 310032;3.浙江省大盘山国家级自然保护区管理局, 浙江磐安 322300
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| 摘要: |
| 目的 应用近红外光谱技术结合化学计量学方法建立前胡及其伪品的快速鉴别模型。方法 收集6个主产地前胡（54批）和7种常见伪品（35批）共89批样品，采集近红外光谱图，采用化学计量学方法建立前胡及其伪品的鉴别模型。结果 优选的模型参数：光谱预处理方法为多元散射校正+一阶求导+Norri导数平滑滤波，光谱波段为6 800~5 700 cm-1，偏最小二乘-判别分析方法的主成分数为14。验证集的鉴别结果表明真伪鉴别模型的正确识别率为100%。结论 近红外光谱法简便、快速，能够正确鉴别前胡药材及其伪品，为前胡药材的快速定性评价提供了一种新方法。 |
| 关键词: 近红外光谱 快速鉴别 前胡 偏最小二乘-判别分析 |
| DOI：10.13748/j.cnki.issn1007-7693.2019.14.005 |
| 分类号:R917.101 |
| 基金项目:浙江省科技计划项目（2017C02040）；国家中医药管理局项目（GZY-KJS-2018-004） |
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| Rapid Identification of Peucedani Radix and Its Adulterants by Near-infrared Spectroscopy |
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HU Yijuan1, WANG Jiachen2, LIANG Weiqing1, XU Pan1, ZHANG Hongjian1, LOU Kelang1, YU Yefei3, WANG Pan3, CHEN Zilin3, PU Jinbao1
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1.Zhejiang Traditional Chinese Medicine Academy, Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou 310007, China;2.College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, China;3.Zhejiang National Nature Reserve Administration of Dapanshan, Pan'an 322300, China
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| Abstract: |
| OBJECTIVE A rapid identification model of Peucedani Radix and its adulterants was developed by near-infrared spectroscopy with chemometrics methods. METHODS eighty-nine samples including Peucedani Radix samples from 6 main origin areas(54 samples) and 7 common adulterants(35 samples) were collected. Near-infrared spectrums were collected. The identification model of Peucedani Radix and its adulterants was established by chemometrics methods. RESULTS The optimized model parameters were as follows:the spectrum preprocessing method was multiplicative signal correction+first derivative+norris derivatie filter, the spectrum band was 6 800-5 700 cm-1, and the principal component number of PLS-DA modeling method was 14. The identification result of the validation sets showed that the correct recognition rate of the authenticity identification model was 100%. CONCLUSION This approach of near-infrared spectroscopy is simple and rapid. It can correctly identify Peucedani Radix and its adulterants, and providing a new method for rapid qualitative evaluation of Peucedani Radix. |
| Key words: near-infrared spectroscopy rapid identification Peucedani Radix partial least square-discrimination analysis |
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