Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China ; College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming 650500, China.
Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.
J Anal Methods Chem. 2014;2014:519424. doi: 10.1155/2014/519424. Epub 2014 Dec 2.
The fungus species Wolfiporia extensa has a long history of medicinal usage and has also been commercially used to formulate nutraceuticals and functional foods in certain Asian countries. In the present study, a practical and promising method has been developed to discriminate the dried sclerotium of W. extensa collected from different geographical sites based on UV spectroscopy together with chemometrics methods. Characteristic fingerprint of low polar constituents of sample extracts that originated from chloroform has been obtained in the interval 250-400 nm. Chemometric pattern recognition methods such as partial least squares discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA) were applied to enhance the authenticity of discrimination of the specimens. The results showed that W. extensa samples were well classified according to their geographical origins. The proposed method can fully utilize diversified fingerprint characteristics of sclerotium of W. extensa and requires low-cost equipment and short-time analysis in comparison with other techniques. Meanwhile, this simple and efficient method may serve as a basis for the authentication of other medicinal fungi.
松口蘑属真菌具有悠久的药用历史，在某些亚洲国家也被商业化用于配制营养保健品和功能性食品。本研究提出了一种实用且有前景的方法，可基于紫外光谱结合化学计量学方法，对来自不同地理区域的松口蘑干燥菌核进行区分。在 250-400nm 区间内获得了源自氯仿的样品提取物中低极性成分的特征指纹图谱。应用偏最小二乘判别分析（PLS-DA）和层次聚类分析（HCA）等化学计量模式识别方法来增强对样本的区分的真实性。结果表明，根据产地，松口蘑样本得到了很好的分类。与其他技术相比，该方法可以充分利用松口蘑菌核的多样化指纹特征，且所需设备成本低，分析时间短。同时，这种简单高效的方法可以为其他药用真菌的鉴定提供依据。
