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基于宏观红外光谱(IR)指纹的 TOPSIS 法对不同地理来源野生蝉花的综合评价。

Comprehensive evaluation of wild Cordyceps cicadae from different geographical origins by TOPSIS method based on the macroscopic infrared spectroscopy (IR) fingerprint.

机构信息

College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou 310018, China.

Institute of Experimental Medicine of the Czech Academy of Sciences, Prague 14220, Czech Republic.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2019 May 5;214:252-260. doi: 10.1016/j.saa.2019.02.031. Epub 2019 Feb 13.

Abstract

Cordyceps cicadae is an entomogenous fungus that has been used as a valuable traditional Chinese herbal tonic, however, it can be difficult to discern the false from the genuine. In this study, the macroscopic IR fingerprint methods containing Fourier transform infrared spectroscopy (FT-IR) and second derivative infrared spectroscopy (SD-IR) were used to elucidate wild C. cicadae. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to comprehensively evaluate C. cicadae from different geographical origins based on the macroscopic infrared spectroscopy (IR) fingerprint. The FT-IR spectra of C. cicadae exhibited the major characteristics of the absorptive peaks of carbohydrates, lipids and nucleosides at the position of 3291, 2925, 2845, 1651, 1547, 1455, 1080 and 950 cm. The high resolution of SD-IR further amplified the difference and revealed the potentially characteristic IR absorption spectrum. TOPSIS evaluation showed that C. cicadae from Anhui possess the strongest intensity of absorption bands among all the samples. Notably, FT-IR combined with SD-IR can effectively reveal the overall chemical components without damaging medicinal materials, and TOPSIS methods can provide a novel scientific evidence for comprehensively assessing different origins of wild C. cicadae.

摘要

蝉花是一种虫生真菌,被用作一种有价值的传统中药补品,但很难辨别真伪。在这项研究中,使用了包含傅里叶变换红外光谱(FT-IR)和二阶导数红外光谱(SD-IR)的宏观红外指纹方法来阐明野生蝉花。基于宏观红外光谱(IR)指纹,使用逼近理想解排序法(TOPSIS)方法对来自不同地理来源的蝉花进行综合评估。蝉花的 FT-IR 光谱显示了在 3291、2925、2845、1651、1547、1455、1080 和 950cm 处碳水化合物、脂质和核苷吸收峰的主要特征。SD-IR 的高分辨率进一步放大了差异,并揭示了潜在的特征红外吸收光谱。TOPSIS 评估表明,所有样品中安徽蝉花的吸收带强度最强。值得注意的是,FT-IR 结合 SD-IR 可以有效地揭示整体化学成分,而不会损坏药材,TOPSIS 方法可以为全面评估野生蝉花的不同来源提供新的科学依据。

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