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首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Direct infusion electrospray ionization mass spectrometry applied to the detection of forgeries: Roasted coffees adulterated with their husks
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Direct infusion electrospray ionization mass spectrometry applied to the detection of forgeries: Roasted coffees adulterated with their husks

机译：直接注入电喷雾电离质谱技术用于检测伪造品：掺入果壳的烤咖啡

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摘要

Recognition of samples of coffee adulterated with their own husks has been a challenging task. The quite similar physical aspect of roasted grinded coffee huskwhen compared to ground coffee hampers a prompt visual distinction among both types of products. Several methodologies that make use of distinct analytical techniques have been developed for the authentication of coffee quality. In the presentwork, we demonstrate that direct infusion electrospray ionization mass spectrometry (ESI-MS) can be applied to detect counterfeit samples of roasted coffee adulterated by the addition of coffee husks (at a level of 10% w/w) in a quick and reliable way. The ESI-MS fingerprints (in both the negative and positive modes) revealed the presence of diagnostic markers, such as carbohydrates (for instance, saccharose), chlorogenic acids, caffeine, and other components related to the coffee flavor, that characterize each type of sample (coffee and rusk). Furthermore, the PCA (principal component analysis)methodology, applied to thewhole set of the ESI-MS data (in the negative mode), grouped the samples into three clearly distinct categories: coffees, husks and blends. The results presented herein describe therefore an innovative and rapid methodology potentially useful in the diagnosis of such hardly-detectable type of adulteration.
机译：识别掺有自己外壳的咖啡样品是一项艰巨的任务。与磨碎的咖啡相比，烘焙过的磨过的咖啡果皮的物理外观非常相似，这两种产品之间在视觉上都有明显的区别。已经开发出几种利用不同分析技术的方法来鉴定咖啡的质量。在目前的工作中，我们证明了直接注入电喷雾电离质谱（ESI-MS）可用于通过快速，快速地添加咖啡果壳（浓度为10％w / w）来检测掺假咖啡的伪造样品。可靠的方法。 ESI-MS指纹图谱（在阴性和阳性模式下）均显示出诊断标记物的存在，例如碳水化合物（例如，蔗糖），绿原酸，咖啡因以及与咖啡风味有关的其他成分，这些特征是每种咖啡类型的特征。样品（咖啡和面包干）。此外，应用于整个ESI-MS数据集（负模式）的PCA（主要成分分析）方法将样品分为三个明显不同的类别：咖啡，果壳和混合物。因此，本文介绍的结果描述了一种创新且快速的方法，可用于诊断这种难以检测的掺假类型。

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