摘要
该研究按照《中国药典》(2015年版)要求测定样品醇溶性浸出物含量,同时建立GC-MS指纹图谱,使用《中药指纹图谱相似度评价(2012年版)》计算指纹图谱相似度,峰面积归一化法计算170~270 min与0~100 min 2区间总峰面积的比值,自动质谱退卷积定性系统(AMDIS)结合保留指数(RI)鉴定共有组分和差异组分,OPLS-DA结合相关系数P(corr)和变量权重(VIP)筛选差异组分,灰色关联度和TOPSIS分析法综合评价人工沉香品质。结果显示18批人工沉香中15批浸出物含量符合要求,指纹图谱相似度在0.439~0.779,2区间总峰面积比值在0.307~13.254,共鉴定出9个共有组分和8个差异组分,综合上述20个指标进行灰色关联度和TOPSIS分析得到2%水杨酸诱导的人工沉香品质最优。建立的灰色关联度结合TOPSIS分析法可快速判断不同酸性诱导剂生产的人工沉香品质,为人工沉香的全面质量评价提供参考依据。
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.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2017年第16期3159-3166,共8页
China Journal of Chinese Materia Medica
基金
广东省基础与应用基础研究专项资金项目(2014A030313583)
省部共建华南应用微生物国家重点实验室开放基金项目(SKLAM003-2015)
广东省中医药局科研课题(20161151)
广东省科学院野外科学实验站基金项目(Sytz201504,Sytz201511)
