Data Fusion Approach Improves the Prediction of Single Phenolic Compounds in Honey: A Study of NIR and Raman Spectroscopies

The combination of Near‐Infrared Spectroscopy (NIR) and Raman Spectroscopy (RS) of 100 honey samples collected from different countries were used to develop the calibration model for determination of single phenolic compound. In high‐performance liquid chromatography with diode‐array detection analysis, 16 phenolic compounds were identified with p ‐hydroxybenzoic acid being the major compound detected in all honey samples. Thus, p...