| 引用本文: | 蒋程,寿旦,俞忠明,许平翠,王绪平,陈礼平,张晓芹,王娜妮.基于紫外光谱和偏最小二乘回归算法的畲药地稔中浸出物和6种活性成分快速预测方法[J].中国现代应用药学,2020,37(13):1574-1579. |
| JIANG Cheng,SHOU Dan,YU Zhongming,XU Pingcui,WANG Xuping,CHEN Liping,ZHANG Xiaoqin,WANG Nani.Rapid Prediction of Extractum and Six Active Components in Traditional She Medicine-Melastoma Dodecandrum Lour. by Ultraviolet Spectroscopy and Partial Least Squares Regression Algorithm[J].Chin J Mod Appl Pharm(中国现代应用药学),2020,37(13):1574-1579. |
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| 基于紫外光谱和偏最小二乘回归算法的畲药地稔中浸出物和6种活性成分快速预测方法 |
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蒋程1,2, 寿旦2, 俞忠明2, 许平翠2, 王绪平2, 陈礼平3, 张晓芹3, 王娜妮2
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1.浙江省立同德医院药学部, 杭州 310012;2.浙江省中医药研究院, 杭州 310007;3.丽水市中医院, 浙江 丽水 323000
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| 摘要: |
| 目的 建立基于紫外光谱的畲药地稔中浸出物、没食子酸、阿魏酸、芦丁、槲皮素、木犀草素、山奈酚的快速分析方法。方法 测定地稔水提液中的浸出物和6种化合物浓度，采集紫外光谱。采用SIMCA-P+软件，分别建立浸出物、6种化合物浓度与紫外光谱的偏最小二乘回归模型。采用Visual Basic开发应用软件，将所建模型嵌套入软件，为同时快速分析待测溶液中浸出物和6种化合物浓度提供工具。结果 验证集浸出物和6种化合物浓度的预测均方根误差分别为39.1，0.263，19.0，93.8，0.894，0.593，0.896 ng·mL-1，预测值和真实值的相关系数均>0.9，并通过软件在10 s内得到了浸出物和6种化合物浓度的预测结果。结论 本方法可为地稔的快速质量评价提供依据。 |
| 关键词: 地稔 紫外光谱 偏最小二乘回归 |
| DOI：10.13748/j.cnki.issn1007-7693.2020.13.007 |
| 分类号:R284.1 |
| 基金项目:浙江省中医药（中西医结合）重点学科建设项目（2017-XK-A50）；浙江省丽水市重点科技创新团队建设计划项目（2018cxtd06） |
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| Rapid Prediction of Extractum and Six Active Components in Traditional She Medicine-Melastoma Dodecandrum Lour. by Ultraviolet Spectroscopy and Partial Least Squares Regression Algorithm |
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JIANG Cheng1,2, SHOU Dan2, YU Zhongming2, XU Pingcui2, WANG Xuping2, CHEN Liping3, ZHANG Xiaoqin3, WANG Nani2
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1.Department of Pharmacy, Tongde Hospital of Zhejiang Province, Hangzhou 310012, China;2.Zhejiang Academy of Traditional Chinese Medicine, Hangzhou 310007, China;3.Lishui Traditional Chinese Medicine Hospital, Lishui 323000, China
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| Abstract: |
| OBJECTIVE To establish a rapid method for the determination of the extractum, gallic acid, ferulic acid, rutin, quercetin, luteolin and kaempferol in traditional She medicine-Melastoma dodecandrum by ultraviolet spectroscopy. METHODS The contents of extractum and 6 components in aqueous extract solutions of Melastoma dodecandrum were detected and the ultraviolet spectra were collected. The partial least squares regression models of extractum and 6 components were established separately with the use of SIMCA-P+ software. The software was devised by using Visual Basic, embeded the model into software. This method provided a convenient tool for the simultaneous and rapid determination of extractum and 6 components in unknown samples. RESULTS The root mean square error of predictions for extractum and 6 components were 39.1, 0.263, 19.0, 93.8, 0.894, 0.593, 0.896 ng·mL-1, respectively. The correlation coefficients between the predicted and the reference values for validation set were >0.9 and the predicted contents of extractum and 6 components were calculated automatically within 10 s. CONCLUSION This study provides a rapid method for the quality evaluation of Melastoma dodecandrum Lour. |
| Key words: Melastoma dodecandrum Lour. ultraviolet spectroscopy partial least squares regression |
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