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Characterization of fresh milk products based on multidimensional raman spectroscopy

Abstract


The effect of integration time on Raman spectral data collected from fresh milk products was investigated and analyzed. The collected spectral data were denoised by wavelet transform to remove signal interference. Two-dimensional correlation Raman spectra of the fresh milk products were then constructed using two-dimensional correlation analysis and laser integrating time as an external perturbation. Finally, feature extraction was carried out, and the Euclidean distance was calculated. Thus, the similarities between fresh milk products of the same brand and different brands were quantitatively analyzed and calculated from Raman spectroscopy, two-dimensional correlation Raman spectroscopy, and feature extraction. The results showed that the quality of fresh milk products of the same brand fluctuated but maintained a high consistency. The differences between different brands of fresh milk products under the same detection conditions were much greater than within the same brand samples.

About the Authors

Z.-Y. Zhang
School of Management Science and Engineering at Nanjing University of Finance and Economics; State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University
China
Zheng-Yong Zhang.
Nanjing 210023, Jiangsu; Changsha Hunan 410082.


S.-W. Li
School of Management Science and Engineering at Nanjing University of Finance and Economics
China

Si-Wei Li.
Nanjing 210023, Jiangsu.



M. Sha
School of Management Science and Engineering at Nanjing University of Finance and Economics
China

Min Sha.
Nanjing 210023, Jiangsu.



J. Liu
School of Management Science and Engineering at Nanjing University of Finance and Economics
China

Jun Liu.
Nanjing 210023, Jiangsu.



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Review

For citations:


Zhang Z., Li S., Sha M., Liu J. Characterization of fresh milk products based on multidimensional raman spectroscopy. Zhurnal Prikladnoii Spektroskopii. 2020;87(6):1025(1)-1025(10).

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ISSN 0514-7506 (Print)