PDF(Pubmed)
Abstract：
Gas chromatography ion mobility spectrometry (GC-IMS) is a robust and sensitive benchtop technique commonly used for non-target screening of volatile organic compounds. It has been applied to authenticity analysis by generating characteristic \"fingerprints\" of food samples, well suited for chemometric data analysis. This dataset contains headspace GC-IMS spectra from 50 monofloral honey samples from three different botanical origins, 18 acacia honeys (Robinia pseudoacacia), 19 canola honeys (Brassica napus) and 18 honeydew honeys (forest flowers). Honeys were sourced from the beekeepers directly or obtained from governmental food inspectors from Baden-Wuerttemberg, Germany. Authenticity was confirmed by pollen analysis in the framework of the official control of foodstuffs. The data was acquired using a setup based on an Agilent 6890N gas chromatograph (Agilent Technologies, Palo Alto, CA) and an OEM Standalone IMS cell from G.A.S Sensorsysteme m. b. H. (Dortmund, Germany). All samples were recorded in duplicates and spectra are presented as raw data in the .mea file format. The dataset is available on Mendeley Data: https://data.mendeley.com/datasets/jxj2r45t2x.
摘要：
气相色谱离子迁移谱（GC-IMS）是一种强大而灵敏的台式技术，通常用于挥发性有机化合物的非目标筛选。通过生成食品样品的特征“指纹”，将其应用于真实性分析，非常适合化学计量数据分析。该数据集包含来自三个不同植物来源的50个单花蜂蜜样品的顶空GC-IMS光谱，18金合欢（刺槐），19个油菜蜂蜜（甘蓝型油菜）和18个蜜露蜂蜜（森林花）。蜂蜜直接来自养蜂人，或从巴登-符腾堡州的政府食品检查员那里获得，德国。在官方控制食品的框架内，花粉分析证实了真实性。使用基于Agilent6890N气相色谱仪(AgilentTechnologies，帕洛阿尔托,CA)和来自G.A.SSensorsystemem.b.H.(Dortmund，德国)。所有样品一式两份记录，光谱作为原始数据显示。mea文件格式。该数据集在MendeleyData上可用：https://data。mendeley.com/datasets/jxj2r45t2x.
