MODIFIED ALGORITHM FOR STANDARDIZATION OF NEAR-INFRARED SPECTROMETRIC INSTRUMENTS

摘要

The transfer of calibration models between near-infrared spectrometric instruments with the algorithm proposed by Shenk and Westerhaus as a standardization method is studied. This algorithm does not yield optimal results when standardization samples are used that are not of the same nature as the samples to be analyzed. In an attempt to improve the results obtained with this algorithm when one uses such standardization samples, five different modifications of the spectral intensity correction step of the algorithm are investigated. The use of locally weighted regression, which gives more weight to the standardization samples close to the same spectral intensity range where the samples to be predicted are located and less weight to the farthest samples, seems to be the most suitable one.