Quality-by-Design: Multivariate Model for Multicomponent Quantification in Refining Process of Honey

OBJECTIVE A method for rapid analysis of the refining process of honey was developed based on near-infrared (NIR) spectroscopy. METHODS Partial least square calibration models were built for the four components after the selection of the optimal spectral pretreatment method and latent factors. RESULTS The models covered the samples of different temperatures and time points, therefore the models were robust and universal. CONCLUSIONS These results highlighted that the NIR technology could extract the information of critical process and provide essential process knowledge of the honey refining process. SUMMARY A method for rapid analysis of the refining process of honey was developed based on near-infrared (NIR) spectroscopy. Abbreviation used: NIR: Near-infrared; 5-HMF: 5-hydroxymethylfurfural; RMSEP: Root mean square error of prediction; R: correlation coefficients; PRESS: prediction residual error-sum squares; TCM: Traditional Chinese medicine; HPLC: High-performance liquid chromatography; HPLC-DAD: HPLC-diode array detector; PLS: Partial least square; MSC: multiplicative scatter correction; RMSECV: Root mean square error of cross validation; RPD: Residual predictive deviation; 1D: 1st order derivative; SG: Savitzky-Golay smooth; 2D: 2nd order derivative.