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Quality assessment of olive oil based on volatile compound fingerprinting using HRGC-IMS analysis

机译:HRGC-IMS分析基于挥发性化合物指纹图谱的橄榄油质量评估

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The evaluation of extra virgin olive oil (EVOO) with respect to quality and authenticity has been in the focus of a plethora of studies in the past years and still poses a challenge for researches. In particular, sensitive, rapid and low-cost analytical methods are highly relevant for enforcement purposes to ensure EVOO authenticity. Nontargeted headspace analysis of volatile organic compounds ( VOCs) by high resolution gas chromatography (HRGC), coupled to ion mobility spectrom- etry (IMS) provides an fast and effective approach for the discrimination of EVOOs of different geographical origins. This is especially due to minimal sample preparation and short run times, paired with the orthogonal separation power of retention time vs. drift time in GC-IMS. The resulting product-characteristic three-dimensional fingerprints can be evaluated by multivariate statistics tools implemented in custom MATLAB routines.
机译:在过去的几年中,关于优质和真实性的特级初榨橄榄油(EVOO)的评估一直是众多研究的重点,但仍然对研究构成挑战。尤其是,敏感,快速和低成本的分析方法对于确保EVOO真实性的执法目的至关重要。通过高分辨率气相色谱(HRGC)结合离子迁移谱(IMS)对挥发性有机化合物(VOC)进行非目标顶空分析,可以快速有效地区分不同地理来源的EVOO。这尤其是由于最少的样品制备和较短的运行时间,再加上GC-IMS中保留时间与漂移时间的正交分离能力。可以通过在自定义MATLAB例程中实现的多元统计工具来评估生成的具有产品特征的三维指纹。

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