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. 2023 May 30;5:100184. doi: 10.1016/j.ijpx.2023.100184

Table 3.

Comparison of different spectral pre-processing methods used to develop the calibration models. SNV: standard normal variant, MSC: multiplicative scatter correction, SG: second derivative spectra (Sativzky-Golay method).

Model number Data pre-treatment Latent variables R2 training RMSE (%) training R2 test RMSE (%) test
1 None 4 0.9974 0.6538 0.9115 2.4569
2 MSC 4 0.9942 0.9802 0.8708 2.9692
3 SNV 4 0.9994 0.2994 0.9643 1.5610
4 SG 4 0.9967 0.7397 0.9833 1.0662
5 MSC + SG 4 0.9956 0.8523 0.9360 2.0891
6 SNV + SG 4 0.9977 0.6145 0.9516 1.8174