Geographical Authentication of Macrohyporia cocos by a Data Fusion Method Combining Ultra-Fast Liquid Chromatography and Fourier Transform Infrared Spectroscopy

文献类型： 外文期刊

第一作者： Wang, Qin-Qin

作者： Wang, Qin-Qin;Wang, Yuan-Zhong;Wang, Qin-Qin;Huang, Heng-Yu

作者机构：

关键词： Macrohyporia cocos; data fusion; liquid chromatography; fourier transform infrared spectroscopy; partial least squares discriminant analysis; authentication

期刊名称：MOLECULES （ 影响因子：4.411； 五年影响因子：4.587 ）

ISSN： 1420-3049

年卷期： 2019 年 24 卷 7 期

页码：

收录情况： SCI

摘要： Macrohyporia cocos is a medicinal and edible fungi, which is consumed widely. The epidermis and inner part of its sclerotium are used separately. M. cocos quality is influenced by geographical origins, so an effective and accurate geographical authentication method is required. Liquid chromatograms at 242 nm and 210 nm (LC242 and LC210) and Fourier transform infrared (FTIR) spectra of two parts were applied to authenticate the geographical origin of cultivated M. cocos combined with low and mid-level data fusion strategies, and partial least squares discriminant analysis. Data pretreatment involved correlation optimized warping and second derivative. The results showed that the potential of the chromatographic fingerprint was greater than that of five triterpene acids contents. LC242-FTIR low-level fusion took full advantage of information synergy and showed good performance. Further, the predictive ability of the FTIR low-level fusion model of two parts was satisfactory. The performance of the low-level fusion strategy preceded those of the single technique and mid-level fusion strategy. The inner parts were more suitable for origin identification than the epidermis. This study proved the feasibility of the data fusion of chromatograms and spectra, and the data fusion of different parts for the accurate authentication of geographical origin. This method is meaningful for the quality control of food and the protection of geographical indication products.

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