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Multigas sensors for the quality control of spice mixtures.

机译:Multigas传感器用于香料混合物的质量控制。

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Spices have an important impact on daily aliment. Changes of their quality resulting in far reaching consequences in different foodstuffs and imply financial losing and even health hazard. In this study it is demonstrated that application of two different portable multi gas sensors (electronic nose and ion mobility spectrometer) supported by multivariate data analysis can contribute to ensure quality control of spice mixtures and to find out product adulteration. Headspace above spice mixtures for sausages and saveloy and product counterfeitings was investigated by a metal oxide based electronic nose (e-nose of KAMINA-type). Linear discriminant analysis (LDA) of sensor resistivity data was performed for differentiation. Simultaneously an ion mobility spectrometer (IMS) was coupled to the emission chamber for detection of gaseous components above spice mixtures. The measured spectra show differences between the two spice mixtures and were discussed using a principal component analysis (PCA). The two multi gas sensors permit discrimination between the types of spice mixtures and can indicate product adulteration. Additionally, a headspace gas analysis by gas chromatography was performed to identify the main volatile components and to prove the chemical basis for the observed differences of the multi gas sensors.
机译:香料对日常饮食有重要影响。其质量的变化会导致各种食品产生深远的影响,并意味着经济损失,甚至危害健康。在这项研究中,证明了由多元数据分析支持的两种不同的便携式多气体传感器(电子鼻和离子迁移谱仪)的应用可以有助于确保香料混合物的质量控制并发现产品掺假。通过基于金属氧化物的电子鼻(KAMINA型电子鼻)研究了香肠,精制和伪造产品的香料混合物上方的顶空。进行传感器电阻率数据的线性判别分析(LDA)以进行区分。同时,将离子迁移谱仪(IMS)耦合到发射室,以检测香料混合物上方的气态成分。测得的光谱显示了两种香料混合物之间的差异,并使用主成分分析(PCA)进行了讨论。两个多气体传感器可区分香料混合物的类型,并可指示产品掺假。另外,通过气相色谱法进行了顶空气体分析,以识别主要的挥发性成分并证明所观察到的多种气体传感器差异的化学基础。

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