In this study,the content of ethanol extraction of agarwood were performed following the method of Chinese Pharmacopoeia(ChP 2015 edition). The chromatographic fingerprints were established by GC-MS. Similarity Evaluation System for Chromatographic Fingerprint of traditional Chinese medicine（TCM）(version 2012) was employed to calculate the similarity of each chromatogram of agarwood. The ratios of sum peak area in the range of 170-270 min and 0-100 min of individual chromatogram were calculated using square peaks to normalization. AMDIS and RI were employed to identify the common and different peaks. Correlation coefficient P(corr) combined with Variable important in projection(VIP) value was employed to screen the different representative components based on OPLS-DA analysis. Grey related degree and TOPSIS were used to evaluate the quality of artificial agarwoods. The results showed that more than 10.0% of the ethanol extract content was found in 15 batches of artificial agarwoods among the total 18. The similarity of 18 batches artificial agarwoods was 0.439-0.779. The peak area ratios of two intervals were in the range of 0.307-13.254. The 9 common components and 8 different components were identified. Meanwhile, 2% salicylic acid is the best inducer based on grey related degree and TOPSIS. Grey related degree and TOPSIS can be used to evaluate the quality of artificial agarwoods rapidly. These results provide a reference data to evaluate the qualityof artificial agarwood.
Keywords: GC-MS; TOPSIS; acid inducer; artificial agarwood; grey related degree.
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