| 光谱学与光谱分析 |
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| Study on the Identification of Ganoderma by Multi-Steps Infrared Macro-Fingerprint Method |
| CHEN Xiao-kang1, HUANG Dong-lan1,2, SUN Su-qin3*, CAO Jia-jia2, WANG Shao-ling1 |
1.Department of Chemistry, Shaoguan College，Shaoguan 512005, China
2.Faculty of Chemistry and Light Engineering，Guangdong University of Technology，Guangzhou 510090, China
3.Department of Chemistry, Tsinghua University, Beijing 100084, China |
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Abstract Ganoderma lucidum, ganoderma atrum, ganderma tsugae Murr.and ganoderma lipsiense can be discriminated and identified by using multi-steps infrared macro-fingerprint method.The 1D-IR spectra, based on the peaks intensity at 1 153 and 1 078 cm-1, which are the fingerprint characteristic peaks of glucoside compounds, show that the content of glucoside compounds of them was in the order of: ganoderma lucidum＞ganoderma atrum＞ganderma tsugae Murr.＞ganoderma lipsiense.Generally, the second derivative IR spectra can clearly enhance the spectra resolution.In the range of 1 600-1 720 cm-1, the position and sharpness of characteristics peaks were very different, and it’s proved that amino acid peptide compounds of them were different.In the 2D-IR spectra, four of them have the same autopeak at 1 100 cm-1, which is the autopeaks of glucoside, but the number of autopeaks of ganoderma lucidum was 4 and its strongest autopeak was 1 040 cm-1, while 5 autopeaks, 4 autopeaks and 5 autopeaks were for ganoderma atrum, ganderma tsugae Murr.and ganoderma lipsiense respectively, and their strongest autopeaks were 1 040, 1 139, 1 140 and 1 134 cm-1 respectively.The multi-steps infrared maro-fingerprint identification testified that the contents of glucoside compounds and amino acid peptide compounds in these four kinds of ganoderma are different.It’s proved that multi-steps infrared maro-fingerprint method can be used to analyze and distinguish ganoderma lucidum, ganoderma atrum, ganderma tsugae Murr.and ganoderma lipsiense.
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Received: 2008-11-02
Accepted: 2009-02-06
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Corresponding Authors:
SUN Su-qin
E-mail: sunsq@mail.tsinghua.edu.cn
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