摘要
目的:采用色差仪及电子鼻对厚朴"发汗"所产生的性状变化进行数值描述。方法:以"发汗"厚朴与未"发汗"厚朴为研究对象,采用色差仪和电子鼻测量其颜色特征参数和气味特征参数,并最终建立判别模型。结果:在药材颜色方面,建立了基于L*,a*,b*色度空间的"发汗"与未"发汗"厚朴颜色特征参数模型,"发汗"厚朴双侧90%参考值范围L*(52.22~59.42),a*(5.36~7.68),b*(22.04~27.05);未"发汗"厚朴双侧90%参考值范围L*(38.42~47.31),a*(9.63~11.85),b*(18.48~25.53);在药材气味方面,主成分分析及偏最小二乘法分析结果表明,"发汗"厚朴与未"发汗"厚朴存在显著性差异。结论:厚朴"发汗"前后药材颜色及气味差异均可根据色差仪和电子鼻测得的厚朴颜色和气味特征参数以数值的形式表述。
Objective: To digitalize the changes in characters of Magnoliae Officinalis Cortex after perspiration with colorimeter and electronic nose. Method: With perspired and non-perspired Magnoliae Offieinalis Cortex as objective, eolorimeter and electronic nose were used to detect their color characteristic parameter and odor characteristic parameter. Finally, an identification model was es- tablished. Result : In terms of drug color, the color characteristic parameter model was established for perspired and non-perspired Mag- noliae Offieinalis Cortex on the basis of L * , a * , b * color spaces. The range of 90% of reference values of perspired Magnoliae Offici- nails Cortex: L* (52. 22-59.42) , a * (5.36-7.68) , b * (22. 04-27.05 ). The range of 90% of reference values of non-perspired Mag- noliae Offieinalis Cortex: L* (38.42-47.31) , a * (9.63-11.85) , b * (18.48-25.53). In terms of drug odor, the principal component analysis (PCA) and the partial least squares method (PLS) showed significant difference between perspired and non-perspired Magno- liae Offieinalis Cortex. Conclusion: The difference in drug color and odor of Magnoliae Officinalis Cortex before and after perspiration can be digitalized according to color and odor characteristic parameters tested with colorimeter and electronic nose.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2013年第1期45-48,共4页
China Journal of Chinese Materia Medica
基金
国家自然科学基金项目(81073042)
国际科技合作项目(2009DFA31660)
关键词
厚朴
“发汗”
色差仪
电子鼻
颜色与气味
数值化
Magnoliae Officinalis Cortex
perspiration
eolorimeter
electronic nose
color and odor
digitization