摘要
采集不同产地来源的甘草样品的X-射线粉末衍射图谱,运用偏最小二乘判别分析(PLSDA)方法对其原始图谱进行潜在的差异信息判别。结果表明,PLSDA模型对不同产地来源的甘草药材鉴别正确率达到100%。以X-射线粉末衍射分析结合PLSDA方法快速、准确判别了不同产地来源及野生和家种甘草,为客观评价中药材的产地归属提供了一种新的方法和手段,在中药材质量鉴定领域具有广阔的应用前景。
We collected X-ray powder diffraction spectra of Glycyrrhizae radix et rhizoma samples from different areas, and identified the potential difference information of their original spectra by partial least square discriminant analysis（PLSDA）. The results show that the recognition correct rate of PLSDA to Glycyrrhizae radix et rhizoma from different areas can reach 100%. The Glycyrrhizae radix et rhizoma samples from differ- ent areas can be rapidly and accurately distinguished by X-ray powder diffraction fingerprint information com- bined with PLSDA,which provides a new method and means for the objective evaluation of producing areas of traditional Chinese medicine, and has broad application prospect in quality identification field of traditional Chinese medicine.
出处
《化学与生物工程》
CAS
2018年第3期63-65,共3页
Chemistry & Bioengineering
基金
国家自然科学基金资助项目(21205145)
中央高校基本科研业务费专项资金项目(CZZ10005
CAA12028
CZY13019)
湖北省民族药物现代化工程技术研究中心开放基金项目(2015ZD001
2015ZD002)
关键词
甘草
X-射线粉末衍射
中药材产地判别
偏最小二乘判别分析
Glycyrrhizae radix et rhizoma
X-ray powder diffraction
geographical origin analysis of tradi- tional Chinese medicine
partial least square discriminant analysis（PLSDA）
