期刊文献+

电子舌技术在鉴别川牛膝中的应用 被引量:10

Application of the Electronic Tongue in the Identification of Cyathula officinalis
下载PDF
导出
摘要 目的:建立鉴别川牛膝"味"的方法。方法:采用电子舌技术。采集温度为25℃,采集时间为120 s,采集周期为1 s,搅动速度为1 r/s,清洗液为纯化水。以电子舌传感器第120 s所得响应值为"味"分析数据,通过主成分(PC)分析、判别因子(DF)分析对获取的"味"相关数据进行处理,以此区分川牛膝药材及其混淆品,以及川牛膝药材的不同产地、不同生长年限及其市售商品的不同批次。结果:1批川牛膝药材及其4批混淆品判别因子(DF)相差较大;四川宝兴、金口河、天全产药材样品可聚为一类;1、2年生与3、4年生药材样品DF相差较大;不同批次市售商品DF相差较大。结论:川牛膝药材及其混淆品、不同产地川牛膝药材、不同生长年限川牛膝药材及其不同批次市售商品的"味"存在显著差异;电子舌技术能快速区分上述类别药材的"味"。 OBJECTIVE: To establish the method for "taste" identification of Cyathula officinalis. METHODS: The "taste" of C. officinalis was detected by using electronic tongue: sampling temperature of 25 ~C, sampling time of 120 s, sampling period of 1 s, rolling speed of 1 r/s, cleaning solution of purified water. The response value of electronic tongue sensor at 120 s were used as "taste" analysis data and obtained "taste" related data was analyzed through principal component (PC) analysis and discriminant factor (DF) analysis. C. officinalis and its adulterants, C. officinalis from different regions, different ages and different batches were distinguished. RESULTS: There was significant difference in DF between one batch of C. officinalis and 4 batches of adulterants. The samples from Sichuan Baoxing, Jinkouhe, Tianquan could be clustered together. There was significant difference in DF between annual or biennial samples and triennial or quadrennial samples. There was also significant difference in DF among different batches. CONCLUSIONS: The "taste" is different significantly between C. officinalis and its adulterants, among different regions, different ages and different batches of samples. Electronic tongue can quickly distinguish "taste" of above medicinal materials.
出处 《中国药房》 CAS 北大核心 2017年第36期5126-5130,共5页 China Pharmacy
基金 四川省中医局川牛膝种质资源保存和评价研究项目(No.2014F009) 四川省科技部道地药材牛膝 乌头 川芎特征数据的收集和整理(No.2015FY111500-140) 中药资源四川省青年科技创新研究团队项目(No.2015TD0028)
关键词 川牛膝 电子舌技术 鉴别 主成分 判别因子 Cyathula officinalis Electronic tongue method Identification Principal componert Discriminant factor
  • 相关文献

参考文献12

二级参考文献104

共引文献300

同被引文献162

引证文献10

二级引证文献87

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部