In this second tutorial, we continue looking with more detail to the spectra looking for noise that can be due to the sample presentation or other causes. Unless that noisy area has important information we can remove it for the calculation of outlier models and prediction models.
Use a higher degree of derivative or lower gaps can help to the detection of noise.
If there are important information, in the noisy area try to use higher gaps or lower derivative to see if there is an improvement in the spectra shape.
In the case that we are discriminating we have to check if the bands of interest are clearly higher than the noise.
Other tutorials:
FOSS CALIBRATOR: Importing lab values into a ".nir" file
FOSS CALIBRATOR: Tutorial 001
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