摘要
目的:建立香加皮和五加皮药材的红外光谱鉴别方法,为其生药鉴定和品质评价提供参考。方法:采用溴化钾压片法对样品进行红外光谱扫描,对红外光谱进行双指标序列与聚类分析。结果:一维红外指纹图谱中,香加皮正品有13个共有峰,共有峰率和变异峰率分别为100%~83.33%和0%~13.33%,五加皮正品有15个共有峰,共有峰率和变异峰率分别为100%~93.75%和0%~6.67%。当距离为0.05时,可将样品分成四类,能够将样品进行区分。样品的二阶导数指纹图谱在1800~400 cm^(-1)范围内的峰形、峰强度及其比例差异明显。结论:建立的红外光谱法适用于中药香加皮和五加皮的鉴别和区分,并能识别香加皮和五加皮的质量状况。
Objective:To establish an Fourier transform infrared spectroscopy method(FTIR)for identification of Periplocae cortex and Acanthopanacis cortex in the market,so as to provide reference for the pharmacognostic identification and the quality evaluation.Method:The infrared spectrum of the sample was scanned using potassium bromide tabletting method,and the infrared spectrum was analyzed using dual index sequence and the cluster analysis.Result:In the one-dimensional infrared fingerprint,there were 13 common peaks in the genuine Periplocae cortex,with a common peak rate and a variation peak rate of 100%~83.33%and 0%~13.33%,respectively.And there were 15 common peaks in the genuine Acanthopanacis cortex,with a common peak rate and a variation peak rate of 100%~83.33%and 0%~13.33%,respectively.When the distance was 0.05,the samples could be divided into four categories by Cluster Analysis,so the samples could be distinguished.The second derivative fingerprint of the samples has significant differences in peak shape,peak intensity,and proportion in the range of 1800~400 cm^(-1).Conclusion:FTIR established in this article is suitable for the identification and differentiation of Periplocae Cortex and Acanthopanacis Cortex.It also can be used to identify the quality status of Periplocae Cortex and Acanthopanacis Cortex.
作者
李雯
肖小丽
龚艺
曲伟红
赵建国
姜登钊
何刚
Li Wen;Xiao Xiaoli;Gong Yi;Qu Weihong;Zhao Jianguo;Jiang Dengzhao;He Gang(School of Pharmacy and Life Sciences,Jiujiang University,Jiujiang 332005,China)
出处
《山东化工》
CAS
2023年第16期130-136,共7页
Shandong Chemical Industry
基金
国家自然科学基金(No.81960644)
九江学院本科教学团队建设项目(九院教字[2022]59号)
九江学院课程思政示范课程建设项目(九院教字[2022]102号)。
关键词
香加皮
五加皮
红外光谱法
双指标序列分析法
聚类分析法
periplocae cortex
acanthopanacis cortex
FTIR
dual-index sequence analysis
cluster analysis