Fingerprinting and metabolomic approaches show great potential in differentiation of the geographical origins, grow conditions, species and cultivars, and storage conditions of food and botanicals. We developed the flow-injection mass spectrometric fingerprinting (FIMS), and ultra-high performance liquid chromatography tandem high resolution mass spectrometry (UHPLC-HRMS) based metabolomic methods for food/botanical quality evaluation and authentication. FIMS is a high throughput metabolite fingerprinting method with little sample preparation, no chromatography, and instrument cycle times of less than 2 min, and it has been successfully been employed to differentiate the skullcap from toxic germander, conventionally and organically grown grape fruit and different origins of cinnamon. In comparison with FIMS, UHPLC-HRMS based metabolomics can give a better understanding of the whole metabolome and then target the components which are responsible for the group differences. The metabolomic analysis of apples, daylily and microgreen broccoli was used as examples to show the advantages of non-targeted metabolomic approach in food species differentiation, food processing and postharvest storage.

Fingerprinting and metabolomics applications in food/botanical authentication and quality evaluation

254th National Meeting (2017)

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