Honey fraud can take on many forms but is typically classed as either adulteration or misrepresentation.

Test methods for detecting adulteration are well established and have been officiated by the AOAC; however, the same is not true for testing honey misrepresentation.

Because there is higher demand for honey with certain botanical and/or geographical origins, honey may be mislabelled for economic gain.

There is currently no standardized method that can be used by the global market for effective honey origin control systems.

In this presentation, we explore various analytical techniques for origin testing and the potential of these techniques to capture the great variation that exists in honey.

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