Fast Analysis of Food and Beverage Products using a Mass Spectrometry Based Chemical Sensor

In this study, different food and beverage samples were analysed without chromatographic separation by direct transfer of their analytes into a mass spectrometer or by disregarding chromatographic separation. Three different sample introduction techniques – Headspace, Solid Phase MicroExtraction (SPME) [1], and Headspace Sorptive Extraction (HSSE) – were used. Mass spectral fingerprints were compared using pattern recognition software. Multivariate statistics were used to create models that classify samples or detect spoilage and adulteration.