| 基于拉曼光谱法的品牌仿冒药检测方法研究 |
| 投稿时间：2013-01-08 修订日期：2013-02-18 点此下载全文 |
| 引用本文：王科兵,高群,李皓,陆峰.基于拉曼光谱法的品牌仿冒药检测方法研究[J].药学实践杂志,2013,31(2):108~112 |
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| 基金项目:国家重大科学仪器设备开发专项项目(2012YQ180132),上海市科委重点科技攻关项目(11431922500) |
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| 中文摘要:目的 针对目前市面上的品牌药仿冒的制假现象,以国内多个厂家生产的头孢氨苄胶囊为工具药,建立基于支持向量机和相似度法或主成分分析的两步判别方法。方法 第一步,通过模拟建立头孢氨苄胶囊品牌药及4种仿冒药的分类模型,建模交叉验证的准确率为95.63%, 并对可疑样品进行预测分类,准确率为93.75%,以自制样品作为额外的预测集,假阳性率为25%。第二步,对阳性样品进行相似度计算或主成分分析,可分别将假阳性率降低至5%和0%。结果与结论 两步判别法可快速、准确地实现对品牌仿冒药的检测。 |
| 中文关键词:拉曼光谱 品牌仿冒药 支持向量机 相似度法 主成分分析 |
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| Study on brand counterfeit drugs detection methods by Raman spectroscopy |
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| Abstract:Objective To established a two-step discriminant method based on SVM and HQI or PCA, in which cephalexin capsules from several domestic manufacturers were used as tool drugs for counterfeits of brand drugs appear on the market. Method In the first step, a simulating classification model of cephalexin brand capsules and 4 kinds of counterfeit drugs was built, the cross-validation accuracy was 95.63%, and prediction accuracy of suspicious samples within the model was 93.75%, and the false-positive rate of additional homemade test samples was 25%. In the second step, the positive samples were applied to HQI and PCA methods, and the false positive rate could be reduced to 5% and 0% respectively. Results and Conclusion The two-step discrimination method established in our study could detected counterfeits of brand drugs efficiently and accurately. |
| keywords:Raman spectroscopy brand counterfeit drugs SVM HQI PCA |
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