Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Chemometrics
Discrimination of Two Cultivars of Alpinia Officinarum Hance Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Chemometrics
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电子鼻气相色谱-质谱联用化学计量学鉴别两个高良姜品种
DOI：
10.3390/s19030572
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发表时间：
2019-02-01
期刊：
影响因子：
3.9
通讯作者：
Luo, Dehan
中科院分区：
文献类型：
--
作者：
Long, Qin;Li, Zhong;Luo, Dehan
工作背景：高良姜既是中草药又是调味品，一般有竹头高良姜、凤窝高良姜等不同品种。这些A.不同的药用植物品种相似，但其化学成分和品质不同。因此，区分不同的A是很重要的。以保证药物功效的一致性。因此，我们使用电子鼻（E-nose），以探索两个品种之间的气味信息的差异，快速和强大的歧视。方法：采用气味和挥发性成分分析法对所有的A.分别采用电子鼻和气相色谱-质谱联用（GC-MS）技术对不同产地的中药样品进行检测。采用主成分分析（PCA）对电子鼻传感器和GC-MS数据进行分析，采用偏最小二乘法（PLS）对电子鼻传感器和GC-MS数据进行相关性分析。结果如下：结果表明，电子鼻与主成分分析相结合可以有效区分竹头良姜和凤窝良姜，其中S2、S6、S7、S9电子鼻传感器是区分不同品种的重要传感器。药用植物。共鉴定出56种挥发性成分。采用气相色谱-质谱联用技术（GC-MS）对两种不同产地的铁皮枫斗挥发性成分进行了鉴定，并对两种不同产地的铁皮枫斗挥发性成分的组成和含量进行了比较。不同品种间存在差异，尤其是1，8-桉叶素和-法尼烯的相对含量差异较大。基于GC-MS数据的PCA分析结果与电子鼻结果一致。偏最小二乘法（PLS）分析表明，挥发性萜类、醇类和酯类成分主要与传感器S2和S7相互作用，表明特定的电子鼻传感器与某些香气成分高度相关。结论：结合先进的化学计量学技术，电子鼻检测技术可以区分两个品种的黄芪。GC-MS为确定电子鼻传感器响应的物质基础提供了支持。
Background: Alpinia officinarum Hance is both an herbal medicine and a condiment, and generally has different cultivars such as Zhutou galangal and Fengwo galangal. The appearance of these A. officinarum cultivars is similar, but their chemical composition and quality are different. It is therefore important to discriminate between different A. officinarum plants to ensure the consistency of the efficacy of the medicine. Therefore, we used an electronic nose (E-nose) to explore the differences in odor information between the two cultivars for fast and robust discrimination. Methods: Odor and volatile components of all A. officinarum samples were detected by the E-nose and gas chromatography-mass spectrometry (GC-MS), respectively. The E-nose sensors and GC-MS data were analyzed respectively by principal component analysis (PCA), the correlation between E-nose sensors and GC-MS data were analyzed by partial least squares (PLS). Results: It was found that Zhutou galangal and Fengwo galangal can be discriminated by combining the E-nose with PCA, and the E-nose sensors S2, S6, S7, S9 were important sensors for distinguishing different cultivars of A. officinarum. A total of 56 volatile components of A. officinarum were identified by the GC-MS analysis, and the composition and content of the volatile components from the two different A. officinarum cultivars were different, in particular the relative contents of 1,8-cineole and -farnesene. The classification result by PCA analysis based on GC-MS data was consistent with the E-nose results. The PLS analysis demonstrated that the volatile terpene, alcohol and ester components primarily interacted with the sensors S2 and S7, indicating that particular E-nose sensors were highly correlated with some aroma constituents. Conclusions: Combined with advanced chemometrics, the E-nose detection technology can discriminate two cultivars of A. officinarum, with GC-MS providing support to determine the material basis of the E-nose sensors' response.