厚朴"发汗"前后药材颜色及气味差异的数值化研究

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.

Study on digitization of difference in drug color and odor of Magnoliae Officinalis Cortex before and after perspiration

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 Officinalis Cortex as objective, colorimeter and electronic nose were used to detect their color characteristic parameter and odor characteristic parameter.Finally, an identification model was established. Result: In terms of drug color, the color characteristic parameter model was established for perspired and non-perspired Magnoliae Officinalis Cortex on the basis of L^*, a^*, b^*color spaces.The range of 90% of reference values of perspired Magnoliae Officinalis 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 Magnoliae Officinalis 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 Magnoliae Officinalis 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.