摘要
目的 通过Heracles Neo超快速气相电子鼻技术,对金银花与山银花的气味物质进行分析研究。方法 采用Heracles Neo超快速气相电子鼻对不同批次金银花与山银花的气味进行分析,获得其电子鼻气相色谱信息,通过筛选色谱峰判别能力≥0.850,峰面积≥1000的色谱峰,分析金银花与山银花可能的主要差异化合物,并建立金银花与山银花基于电子鼻色谱信息的主成分分析(principal component analysis,PCA)、判别因子分析(discriminant factor analysis,DFA)、软独立建模分析(soft independent modeling of class analogy,SIMCA)、浓度量化(concentration quantification,CQ)统计分析模型。结果 从山银花与金银花中筛选出三甲胺、乙醇、正丁胺等14种主要气味差异化合物,其中巴豆醛、2-甲基丁醇、顺式-3-己烯-1-醇、顺式-3-己烯醇甲酸酯、苯甲醛5种主要差异化合物色谱峰判别能力大于0.900,且色谱峰面积相对较大,表明其可能为判别金银花和山银花的关键性挥发性化合物。建立的PCA、DFA、SIMCA统计分析模型识别能力分别为91%、100%、100%,说明PCA、DFA、SIMCA统计分析模型可对金银花与山银花进行快速有效鉴别;CQ分析模型线性为0.9779,对于金银花中掺假山银花线性良好,说明CQ分析模型可以对金银花中掺假山银花量进行快速鉴别。结论 Heracles Neo超快速气相电子鼻技术可实现对金银花与山银花快速鉴别,为金银花原药材粉末及其金银花制剂中掺假山银花快速鉴定提供了一种新的科学方法 。
Objective To study the odor of Lonicerae Japonicae Flos and Lonicerae Flos by Heracles Neo ultrafast gas phase electronic nose technology.Methods Heracles Neo ultrafast gas phase electronic nose was used to analyze the odor of Lonicerae Japonicae Flos and Lonicerae Flos in different batches,and the information of electronic nose gas chromatography was obtained.Through screening the chromatographic peaks with discriminative power≥0.850 and peak area≥1000,the possible main differences of compounds between Lonicerae Japonicae Flos and Lonicerae Flos were analyzed,and the statistical analysis models principal component analysis(PCA),discriminant factor analysis(DFA),soft independent modeling of class analogy(SIMCA),concentration quantification(CQ)based on the information of electronic nose chromatography were established.Results 14 kinds of main odor differential compounds were screened from Lonicerae Japonicae Flos and Lonicerae Flos,including trimethylamine,ethanol,n-butylamine,among which crotonaldehyde,2-methylbutanol,cis-3-hexen-l-ol,cis-3-hexenol formate,benzaldehyde had a chromatographic peak discrimination ability of more than 0.900,and the chromatographic peak area was relatively large,which indicated that they might be the key volatile compounds to distinguish Lonicerae Japonicae Flos and Lonicerae Flos.The recognition ability of PCA,DFA and SIMCA statistical analysis models was 91%,100%and 100%,respectively,which showed that PCA,DFA and SIMCA statistical analysis models could identify honeysuckle and mountain honeysuckle quickly and effectively;the linearity of the CQ analysis model was 0.9779,and the linearity of the adulterated honeysuckle in honeysuckle was good,which showed that the CQ analysis model could quickly identify the adulterated Lonicerae Flos in Lonicerae Japonicae Flos.Conclusion Heracles Neo ultrafast gas phase electronic nose technology can be used to identify Lonicerae Japonicae Flos and Lonicerae Flos quickly,which provides a new scientific method for the rapid identification of honeysuckle adulterated in Lonicerae Japonicae Flos powder and preparations.
作者
王俊亮
查圣华
廉翠翠
张宏
WANG Jun-Liang;ZHA Sheng-Hua;LIAN Cui-Cui;ZHANG Hong(The Research and Development Center of Beijing Tong Ren Tang Health-Pharmaceutical Co.,Ltd.,Beijing 100085,China)
出处
《食品安全质量检测学报》
CAS
2024年第13期142-149,共8页
Journal of Food Safety and Quality
关键词
金银花
山银花
电子鼻
气味差异
快速鉴别
Lonicerae Japonicae Flos
Lonicerae Flos
electronic nose
smell difference
rapid identification