reported a study in which LIBS was applied for the first time to wood-based materials where preservatives containing metals had to be determined. Near-infrared reflectance spectra of solid polymer samples before a) and after (b) preprocessing using multiplicative scatter correction. MSC multiplicative scatter correction, bootstrap error-adjusted single. Related versions of the multiplicative scatter correction method for preprocessing spectroscopic data. Felsteiner for sending us his Monte-Carlo simulation program for the multiple scattering correction. Kwiatkowska for their help with the sample preparation. Suortti for their valuable help with the measurements and F. We would like to thank the beamline scientists of ID 15 of the ESRF. Individual spectra x, are approximated by a general offset plus a multiple of a reference spectrum, z. It is well known that particle size distribution of non-homogeneous powders has an overall effect on the spectrum, raising all intensities as the average particle size increases. Īnother popular form of data pre-processing with near-infrared data is the application of the Multiplicative Scatter Correction (MSC, ). Similar reasoning applies to data linearization. Thus, if we can do it properly, it is always better to remove an artifact than to rely on the calibration to fit it. This translates into greater precision and robustness of the calibration. But, for every artifact that we can correctly remove from the data, we make available additional degrees-of-freedom that the model can use to fit the relationship between the concentrations and the absorbances. If we do not remove them correctly, we can actually introduce other artifacts that are worse than the ones we are trying to remove. We must be very careful when attempting to remove artifacts. Common linearizations are the conversion of spectral transmittance into spectral absorbance and the multiplicative scatter correction for diffuse reflectance spectra. A common form of artifact removal is baseline correction of a spectrum or chromatogram. Multiple scattering corrections Artifact removal and/or linearization.
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