Laasonen Magali, Harmia-Pulkkinen Tuulikki, Simard Christine L, Michiels Erik, Räsänen Markku, Vuorela Heikki
Department of Pharmacy, University of Helsinki, and Pharma Oy, Finland.
Anal Chem. 2002 Jun 1;74(11):2493-9. doi: 10.1021/ac011108f.
Near-infrared (NIR) reflectance spectroscopy was used to develop a fast identification method for Echinacea purpurea dried milled roots. Method development was carried out using a PLS (partial least-squares) algorithm and pretreatment options. The aim of this qualitative analysis was to confirm the identity of E. purpurea and to detect the presence of fraud, i.e., samples adulterated or substituted by Echinacea angustifolia, Echinacea pallida, or Parthenium integrifolium. Specificity was demonstrated by testing a validation set against the method. A total of 10% of the E. purpurea batches (true samples) and 0% of the false samples from that validation set were misidentified by the method. The misidentification was due to the difference in particle size distribution of one E. purpurea batch compared to that of the other samples. Adulterated E. purpurea samples can be detected at a minimum of 10% of adulteration. This study demonstrates that NIR spectroscopy is a good tool for the fast identification of E. purpurea roots if the samples are milled using the same procedure as for the calibration samples. The method is robust with respect to the origin of the samples and can be used routinely by the pharmaceutical industry or herbal suppliers to avoid mislabeling errors or adulteration.
采用近红外(NIR)反射光谱法开发了一种快速鉴定紫锥菊干磨根的方法。使用偏最小二乘法(PLS)算法和预处理选项进行方法开发。该定性分析的目的是确认紫锥菊的身份,并检测是否存在掺假情况,即是否存在被狭叶紫锥菊、淡紫松果菊或全缘叶澳洲银桦掺假或替代的样品。通过针对该方法测试一个验证集来证明其特异性。该方法将验证集中10%的紫锥菊批次(真实样品)误鉴定,而将0%的虚假样品误鉴定。误鉴定是由于一批紫锥菊样品与其他样品的粒度分布存在差异。掺假的紫锥菊样品在掺假比例至少为10%时即可被检测到。本研究表明,如果样品按照与校准样品相同的程序进行研磨,近红外光谱法是快速鉴定紫锥菊根的良好工具。该方法对于样品的来源具有稳健性,制药行业或草药供应商可常规使用该方法以避免标签错误或掺假情况。