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: 1(st) order derivative; SG: Savitzky-Golay smooth; 2D: 2(nd) order derivative.