2023 FDA Science Forum
Rapid screening of clover honey adulteration with infrared spectroscopy and chemometrics.
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Contributing OfficeCenter for Food Safety and Applied Nutrition
Abstract
Honey has been a high-risk commodity subject to economically motivated adulteration (EMA). An approach combining Fourier Transform infrared spectroscopy (FTIR) and chemometrics was evaluated to develop a rapid screening tool to detect potential EMA of honey with either rice or corn syrup. A single class soft independent modeling of class analogy (SIMCA) model was developed using a diverse set of commercial honey products and an authentic set of honey samples collected at four different USDA honey sample collection locations. The SIMCA model was externally validated with a set of calibration-independent authentic honey, typical commercial honey control samples, and those spiked with rice and corn syrups in the 1-16% concentration range.
The authentic honey and typical commercial honey test samples were correctly predicted with a 91% classification rate. High accuracy was found in predicting the rice and corn syrup spiked samples above 7% concentration range, yielding 97.7% and 94.8% correct classification rates, respectively. This study demonstrated the potential for a rapid and accurate infrared and chemometric method that can be used to rapidly screen for either rice or corn adulterants in honey in less than 5 minutes.
