Xu Dong, Lin Yan, Bauer Rudolf, Chen Hui-Rong, Yang Rui-Qi, Zou Hui-Qin, Yan Yong-Hong
School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100029, China.
Institute of Pharmaceutical Science, University of Graz, 8010 Graz, Austria.
Evid Based Complement Alternat Med. 2018 Mar 5;2018:4689767. doi: 10.1155/2018/4689767. eCollection 2018.
The present study investigated the maneuverability and reasonability of sensory analysis, which has been applied in TCM identification for a long time. Ten assessors were trained and generated the human panel to carry out the organoleptic evaluation of twenty-five batches of Sha-Ren samples. Accordingly, samples were scored from 0 (lowest) to 10 (highest) for sensory attributes. Based on this, samples were divided into three classes: high class (Yang-Chun-Sha from Guang-Dong), moderate class (Yang-Chun-Sha samples from Yun-Nan and Guang-Xi), and low class (Lv-Qiao-Sha from marketplaces). For further background, three instrumental approaches were employed: morphological measurement with three indices (longitudinal diameter, transverse diameter, and 100-fruit weight), GC for determination of bornyl acetate contents, and E-nose for aromatic fingerprint. It is demonstrated in the results that GC and E-nose analyses were in great agreement with organoleptic evaluation. It gives insights into further studies on searching better morphological indicators and improving discriminant model of E-nose.
本研究调查了长期应用于中药鉴定的感官分析的可操作性和合理性。培训了十名评估人员并组建了专家小组,对二十五批砂仁样品进行感官评价。据此,对样品的感官属性从0(最低)到10(最高)进行评分。基于此,将样品分为三类:高等级(广东阳春砂)、中等等级(云南和广西的阳春砂样品)和低等级(市场上的绿壳砂)。作为进一步的背景信息,采用了三种仪器分析方法:通过三个指标(纵径、横径和百果重)进行形态测量、用气相色谱法测定乙酸龙脑酯含量以及用电子鼻获取香气指纹图谱。结果表明,气相色谱法和电子鼻分析与感官评价结果高度一致。这为进一步研究寻找更好的形态学指标和改进电子鼻判别模型提供了思路。