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基于电子舌技术的豨莶草炮制前后滋味比较
引用本文:付智慧,李淑军,胡慧华,刘鹏,孙美玲. 基于电子舌技术的豨莶草炮制前后滋味比较[J]. 中草药, 2017, 48(4): 673-680
作者姓名:付智慧  李淑军  胡慧华  刘鹏  孙美玲
作者单位:北京中医药大学, 北京 100102;北京中医药大学, 北京 100102;北京中医药大学, 北京 100102;北京中医药大学, 北京 100102;北京中医药大学, 北京 100102
基金项目:国家自然科学基金项目资助(81173550)
摘    要:
目的研究豨莶草炮制前后滋味的变化,建立生、制品豨莶草滋味判别模型。方法通过电子舌测量12批生品豨莶草与12批炮制品豨莶草的酸、苦、涩、咸、甜味值,利用配对t检验、主成分分析(PCA)和线性判别因子分析(LDA)等方法研究豨莶草炮制前后各味道的变化情况。结果通过配对t检验发现豨莶草炮制后,苦、咸味下降,酸、涩、甜没有明显变化;通过PCA可以区分生品与制品豨莶草;通过LDA可以建立生品、制品味道判别模型,并进行交叉验证,正确率达到100%;通过雷达图建立了豨莶草生品与制品的滋味指纹图谱。结论电子舌能够对中药豨莶草的酸、苦、涩、咸、甜味值进行准确的辨识,结合统计方法,可以从数值上体现豨莶草炮制前后滋味的改变,并以此推测豨莶草炮制前后滋味的改变与功效的改变之间的关系。另外,建立的生、制品判别函数模型及雷达图指纹图谱可以用于生、制品豨莶草的判别。

关 键 词:电子舌  豨莶草  滋味  炮制  判别模型            主成分分析  线性判别因子分析  雷达图  指纹图谱
收稿时间:2016-08-24

Taste comparison of unprocessed and processed Siegesbeckiae puescens based on electronic tongue
FU Zhi-hui,LI Shu-jun,HU Hui-hu,LIU Peng and SUN Mei-ling. Taste comparison of unprocessed and processed Siegesbeckiae puescens based on electronic tongue[J]. Chinese Traditional and Herbal Drugs, 2017, 48(4): 673-680
Authors:FU Zhi-hui  LI Shu-jun  HU Hui-hu  LIU Peng  SUN Mei-ling
Affiliation:Beijing University of Chinese Medicine, Beijing 100102, China;Beijing University of Chinese Medicine, Beijing 100102, China;Beijing University of Chinese Medicine, Beijing 100102, China;Beijing University of Chinese Medicine, Beijing 100102, China;Beijing University of Chinese Medicine, Beijing 100102, China
Abstract:
Objective To study the taste of unprocessed and processed Siegesbeckiae puescens (SP) and establish a taste discrimination model. Methods The sour, bitter, astringent, salty, and sweet values of 12 batches of unprocessed and processed SP were measured by electronic tongue using a paired t-test, principal component analysis (PCA), and the linear discriminant factor analysis (LDA) to study the changes of the taste of unprocessed and processed SP. Results The paired t-test showed that the bitterness and saltiness of processed SP decreased; Astringency, sweetness, and sourness did not significantly change. The PCA can distinguish unprocessed and processed SP. The model of the taste of unprocessed and processed SP was established through the LDA, and conduct cross validation; Its correct rate reached 100%. The fingerprint of taste of unprocessed and processed SP was established through radar-graph. Conclusion Electronic tongue can identify sour, bitter, astringent, salty, and sweet values of traditional Chinese medicine accurately. It can reflect the numerical change of taste of unprocessed and processed SP combining with statistical method. Based on it, it can be inferred that the relationship between the change of taste and clinical efficacy before and after processing of SP. Besides, the discriminant model can be used to distinguish unprocessed and processed SP.
Keywords:electronic tongue  Siegesbeckiae Puescens Makino  taste  processing  discriminant model  sourness  bitterness  astringency  saltiness  sweetness  principal component analysis  linear discriminant factor analysis  radar-graph  fingerprint
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