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ORIGINAL ARTICLE
Year : 2017  |  Volume : 13  |  Issue : 49  |  Page : 193-198

Quality-by-Design: Multivariate model for multicomponent quantification in refining process of honey


Department of Science and Technology Development of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, P.R. China

Correspondence Address:
Qun Ma
No. 6, South of Wangjing Middle Ring Road, Chaoyang, Beijing
P.R. China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1296.196310

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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 pointstherefore 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. 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.


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