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Spectra of the Month Sept 2020: Protein
Figure 2: Spectra Preprocessing (Protein Powder). The “Spectra Processing” screen of the Calibration Wizard in Panorama. Through this screen, various mathematical operations can be applied to refine your calibration model such as baseline correction, derivatives, normalization, smoothing, and convolution just to name a few.
Figure 3: Peaks&Spectral Region (Protein Powder). The calibration wizard also allows you to select the spectral range of data you want to analyze and include in your calibration model. This is especially useful if you have a specific range that you are most interested in or have a smaller range you wish to use in your calibration.
Figure 4: The PLS1 report generated once the calibration model is complete.
Figure 5: Along with the PLS1 report, a predicted vs actual model is generated. With this calibration for protein powder, we achieved an R^2 value of 0.99831. This means that our model can identify the amount of protein in protein powder almost exactly.
Figure 6: Comparison of the different protein powder samples.