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.
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Abstract of article is published in Zhurnal Prikladnoi Spektroskopii, Vol. 87, No. 6, p. 1025, November–December, 2020.
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Zhang, ZY., Li, SW., Sha, M. et al. Characterization of Fresh Milk Products Based on Multidimensional Raman Spectroscopy. J Appl Spectrosc 87, 1206–1215 (2021). https://doi.org/10.1007/s10812-021-01130-6
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DOI: https://doi.org/10.1007/s10812-021-01130-6