Share Email Print
cover

Proceedings Paper

Quantitative analysis of melamine by multi-way partial least squares model with two-dimensional near-infrared correlation spectroscopy
Author(s): Renjie Yang; Rong Liu; Kexin Xu; Yanrong Yang
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

A new approach for quantitative analysis of melamine in milk was proposed based on two-dimensional (2D) correlation near-infrared spectroscopy and multi-way partial least squares (N-PLS) in this paper. 40 pure milk samples and 40 milk samples adulterated with different contents of melamine were prepared. The near-infrared transmittance spectra of all samples were measured at room temperature. Then 2D NIR-NIR correlation spectroscopy under the perturbation of adulterant concentration was calculated and N-PLS model for the melamine concentration was established with 2D correlation spectra (28x51x51). For the prediction set, the root mean square errors of prediction (RMSEP) for melamine concentration was 0.067 g/L and the coefficient correlation between actual reference values and predicted values was 0.999, which means the model has good predictive ability. For comparison purpose, partial least squares (PLS) model was also built using the conventional one-dimensional near-infrared spectra (28x51), where the RMSEP and the coefficient correlation were 0.079 g/L and 0.998, respectively. The average relative prediction error was 22.9% for N-PLS model; whereas it was 122.4% for PLS model. The N-PLS models yielded relatively low RMSEP and average relative prediction error as compared to PLS model. Therefore, N-PLS method was more robust than PLS method for accurate quantification of the concentration of melamine in milk.

Paper Details

Date Published: 4 March 2014
PDF: 12 pages
Proc. SPIE 8939, Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry, 893912 (4 March 2014); doi: 10.1117/12.2035925
Show Author Affiliations
Renjie Yang, Tianjin Univ. (China)
Tianjin Agricultural Univ. (China)
Rong Liu, Tianjin Univ. (China)
Kexin Xu, Tianjin Univ. (China)
Yanrong Yang, Tianjin Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 8939:
Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry
Anita Mahadevan-Jansen; Wolfgang Petrich, Editor(s)

© SPIE. Terms of Use
Back to Top