Year : 2017 | Volume
: 13 | Issue : 49 | Page : 193--198
Quality-by-Design: Multivariate model for multicomponent quantification in refining process of honey
Xiaoying Li, Zhisheng Wu, Xin Feng, Shanshan Liu, Xiaojie Yu, Qun Ma, Yanjiang Qiao
Department of Science and Technology Development of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, P.R. China
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.
Dr. Qun Ma
No. 6, South of Wangjing Middle Ring Road, Chaoyang, Beijing
|How to cite this article:|
Li X, Wu Z, Feng X, Liu S, Yu X, Ma Q, Qiao Y. Quality-by-Design: Multivariate model for multicomponent quantification in refining process of honey.Phcog Mag 2017;13:193-198
|How to cite this URL:|
Li X, Wu Z, Feng X, Liu S, Yu X, Ma Q, Qiao Y. Quality-by-Design: Multivariate model for multicomponent quantification in refining process of honey. Phcog Mag [serial online] 2017 [cited 2022 Jan 19 ];13:193-198
Available from: http://www.phcog.com/article.asp?issn=0973-1296;year=2017;volume=13;issue=49;spage=193;epage=198;aulast=Li;type=0