Share Email Print
cover

Proceedings Paper • new

Determination of the carmine content based on spectrum fluorescence spectral and PSO-SVM
Author(s): Shu-tao Wang; Tao Peng; Qi Cheng; Gui-chuan Wang; De-ming Kong; Yu-tian Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Carmine is a widely used food pigment in various food and beverage additives. Excessive consumption of synthetic pigment shall do harm to body seriously. The food is generally associated with a variety of colors. Under the simulation context of various food pigments’ coexistence, we adopted the technology of fluorescence spectroscopy, together with the PSO-SVM algorithm, so that to establish a method for the determination of carmine content in mixed solution. After analyzing the prediction results of PSO-SVM, we collected a bunch of data: the carmine average recovery rate was 100.84%, the root mean square error of prediction (RMSEP) for 1.03e-04, 0.999 for the correlation coefficient between the model output and the real value of the forecast. Compared with the prediction results of reverse transmission, the correlation coefficient of PSO-SVM was 2.7% higher, the average recovery rate for 0.6%, and the root mean square error was nearly one order of magnitude lower. According to the analysis results, it can effectively avoid the interference caused by pigment with the combination of the fluorescence spectrum technique and PSO-SVM, accurately determining the content of carmine in mixed solution with an effect better than that of BP.

Paper Details

Date Published: 5 March 2018
PDF: 13 pages
Proc. SPIE 10710, Young Scientists Forum 2017, 107101N (5 March 2018); doi: 10.1117/12.2317529
Show Author Affiliations
Shu-tao Wang, Yanshan Univ. (China)
Tao Peng, Yanshan Univ. (China)
Qi Cheng, Yanshan Univ. (China)
Gui-chuan Wang, Yanshan Univ. (China)
De-ming Kong, Yanshan Univ. (China)
Yu-tian Wang, Yanshan Univ. (China)


Published in SPIE Proceedings Vol. 10710:
Young Scientists Forum 2017
Songlin Zhuang; Junhao Chu; Jian-Wei Pan, Editor(s)

© SPIE. Terms of Use
Back to Top