NMPA Key Laboratory for Quality Evaluation of Traditional Chinese Medicine (Traditional Chinese Patent Medicine) of Guangzhou Institute For Drug Control, Guangzhou, China.
NMPA Key Laboratory for Quality Evaluation of Traditional Chinese Medicine (Traditional Chinese Patent Medicine) of Guangzhou Institute For Drug Control, Guangzhou, China.
Food Res Int. 2020 May;131:108985. doi: 10.1016/j.foodres.2020.108985. Epub 2020 Jan 8.
Dried pericarps of Citrus reticulata 'Chachi', named Guangchenpi (GCP), have been used as both food and medicine in China for centuries. Due to its special flavour and taste, the price of GCP is much higher than those of dried pericarps from other Citrus reticulata Blanco varieties (collectively called "Chenpi", CP). Therefore, some CP have been disguised has GCP by dishonest businessmen to obtain a higher profit. In this study, a simple, rapid, effective and economic analytical method based on headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) was established to discriminate GCP and CP by their volatile organic compounds (VOCs). Principal component analysis (PCA) was performed to extract meaningful attributes from VOCs based on the GC-IMS chromatograms and to give the analysis results. Twelve, 12 and 14 markers were identified and established as the characteristic fingerprints of GCP analysis of 45 batches of samples via SE-54, OV-1701 and Inter Cap WAX gas chromatographic columns, respectively. The PCA results indicated that GCP and CP could be effectively discriminated. This study confirmed the potential of HS-GC-IMS combined with PCA as a reliable analytical screening technique to discriminate between GCP and CP.
化橘红（GCP）的干燥外果皮，又称橘红皮，在中国已被用作食品和药材数百年。由于其独特的风味和口感，GCP 的价格远高于其他蜜橘（Citrus reticulata Blanco）品种的干燥外果皮（统称“陈皮”，CP）。因此，一些 CP 被不法商人伪装成 GCP，以获得更高的利润。在本研究中，建立了一种基于顶空-气相色谱-离子迁移谱（HS-GC-IMS）的简单、快速、有效和经济的分析方法，通过挥发性有机化合物（VOCs）来区分 GCP 和 CP。通过主成分分析（PCA），从 GC-IMS 色谱图中提取有意义的属性，并给出分析结果。通过 SE-54、OV-1701 和 Inter Cap WAX 气相色谱柱，分别鉴定并建立了 12、12 和 14 个标志物作为 GCP 分析的特征指纹图谱，用于 45 批样品的分析。PCA 结果表明，GCP 和 CP 可以有效区分。本研究证实了 HS-GC-IMS 结合 PCA 作为一种可靠的分析筛选技术，可用于区分 GCP 和 CP。
