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| 基于FTIR的两种模式识别方法在两面针产地鉴别中的应用 | |
| 引用本文： | Mao XL,Zheng JM,Li ZD,Lei XC,Huang SS,Liu HG. 基于FTIR的两种模式识别方法在两面针产地鉴别中的应用[J]. 光谱学与光谱分析, 2011, 31(10): 2697-2701. DOI: 10.3964/j.issm.1000-0593(2011)10-2697-05 |
| 作者姓名： | Mao XL Zheng JM Li ZD Lei XC Huang SS Liu HG |
| 作者单位： | 1. 广西科学院生物物理实验室,广西南宁530007;广西中医学院,广西南宁530001 2. 广西科学院生物物理实验室,广西南宁530007;广西师范大学物理科学与技术学院,广西桂林541004 3. 广西中医学院,广西南宁,530001 4. 广西科学院生物物理实验室,广西南宁,530007 5. 广西医科大学,广西南宁,530021 |
| 基金项目： | 国家自然科学基金项目(30760302); 广西科技厅项目(0992003A-21); 广西科学研究与技术开发计划项目(0992003A-20)资助 |
| 摘 要： | 为了探求建立快速鉴别两面针产地的方法,基于傅里叶变换红外光谱(FTIR)技术,选取1 800~400 cm-1红外指纹图谱带,采用Fisher比值法和SIMCA聚类分析法建立产地分类模型,分别对广西区内四个产地的两面针进行鉴别,并通过计算识别率与拒绝率来验证模型。结果表明,红外光谱技术不但能准确提取中药材的整体信息,并且基于红外光谱建立起的两种模式识别模型对未知样品进行预测,识别率和拒绝率均达到90%以上,说明所建模型具有较强的识别能力。通过自编计算程序以及现有统计软件,还可以将模式识别模型实现实时在线化检测与快速样品鉴别,大大提高了鉴别速度而更具应用价值。 |
| 关 键 词： | 红外光谱法 Fisher比值法 SIMCA 两面针 |
Application of two FTIR pattern recognition methods to the Zanthoxylum nitidum geographical origins determination |
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| Mao Xiao-Li,Zheng Juan-Mei,Li Zi-Da,Lei Xin-Chao,Huang Shu-Shi,Liu Hua-Gang. Application of two FTIR pattern recognition methods to the Zanthoxylum nitidum geographical origins determination[J]. Spectroscopy and Spectral Analysis, 2011, 31(10): 2697-2701. DOI: 10.3964/j.issm.1000-0593(2011)10-2697-05 | |
| Authors: | Mao Xiao-Li Zheng Juan-Mei Li Zi-Da Lei Xin-Chao Huang Shu-Shi Liu Hua-Gang |
| Affiliation: | MAO Xiao-li1,2,ZHENG Juan-mei1,LI Zi-da1,3,LEI Xin-chao2,HUANG Shu-shi1*,LIU Hua-gang4*1.Biophysics Laboratory,Guangxi Academy of Sciences,Nanning 530007,China2.Guangxi Traditional Chinese Medical University,Nanning 530001,China3.College of Physics Sciences and Technology,Guangxi Normal University,Guilin 541004,China4.Department of Pharmacology,Guangxi Medical University,Nanning 530021,China |
| Abstract: | In the present work,the authors explored a rapid method of the Zanthoxylum nitidum geographical origins determination.Based on Fourier transform infrared spectroscopy(FTIR) technology,the band of 1 800~400 cm-1 which is the IR fingerprint of Zanthoxylum nitidum,the Fisher ratio and the soft independent modeling of class analogies(SIMCA) were used to build a classification model.Respectively,four kinds of Zanthoxylum nitidum in the Guangxi region were detected by the model,and the model was verified by calcu... |
| Keywords: | FTIR Fisher ratio SIMCA Zanthoxylum nitidum |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ | |