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Comprehensive Analysis + Unknown Component Analysis of Coffee Samples Using Headspace GC-MS

Characteristic Component Extraction by Multiple Classification PCA and Component Identification by High Resolution MS

Advances in mass spectrometry are enabling analysis of micro samples and unknown components that were not observable before. As the volume of information acquired from mass spectrometry increases, researchers are calling for simple techniques to analyze numerous components observed, and as a result, there is a rise in demand for comprehensive analytical techniques including multiple classification analysis.

In this work, we will introduce a new technique of non-targeted analysis, which combines comprehensive analysis using high resolution GC-MS and unknown component analysis using soft ionization and EI.

Experiment

Table 1 shows the measurement conditions. Four different types of commercial coffee (A: Indonesian; B: Ethiopian; C: Guatemalan; D: Brazilian) were selected as samples. Each sample was measured 5 times (n=5).

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