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A Supervised Feature Extraction Method For GC-MS Data Based On PLS. Application To Olive Oil Adulteration Detection

机译:基于PLS的GC-MS数据的监督特征提取方法。应用于橄榄油掺假检测

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Olive oil adulteration is often complicated and more than one test is necessary to determine olive oil authenticity. In particular, detection of hazelnut oil in admixtures has been difficult to confirm due to the similarity of the two oils. In this work a method to identify the olive oil adulteration is presented based on GC-MS analysis coupled with data analysis techniques and a feature selection step.
机译:橄榄油掺杂通常复杂,并且需要多于一个测试来确定橄榄油真实性。特别地,由于两种油的相似性,榛子油的检测难以确认。在该作业中,基于与数据分析技术和特征选择步骤耦合的GC-MS分析来呈现识别橄榄油掺杂的方法。

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