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Stabilizing predicted values from NIR using REP files

In this whitepaper, Chemometrician Martin Andersson discusses the issue that predicted values calculated from an NIR spectrum can be affected by factors such as temperature, sample packing, path length, and differences between instrument models, thus creating a problem of analytical selectivity. As a solution to this problem, Martin Andersson studies the effect of using REP files to decrease the influence of such factors, thereby stabilizing the NIR calibrations. The study is based on sugarcane samples collected from an NIR sugarcane analysis system over a period of four years, in the Okinawa and Kagoshima prefectures.

Based in Japan, Martin Andersson's work specializes in multivariate data handling and improving NIR analyser performance.

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