ABSTRACT
Acknowledgment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149
The purpose of this chapter is to provide a quick reference/overview to near-infrared (NIR) spectroscopy “calibrationists” on the important aspects of quantitative or qualitative calibration techniques as illustrated by the flow chart in Figure 7.1. The main task of the computer in NIR spectroscopy, aside from driving the instrument or collecting data, is to interpret the spectra using a variety of multivariate mathematical techniques. These techniques are used to produce a mathematical calibration model. Figure 7.2 illustrates the various sample sets used for testing calibration models and the conditions where recalibration is indicated. The purpose of the calibration model is
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to relate the concentration of some analyte found in a sample to the spectral data collected from that sample.
