Abstract 072
Unit G1.6. Multisensor Arrays
Current Protocols in Food Analytical Chemistry, Vol. 1., 2001, John Wiley & Sons, Inc., New York
K.J. Siebert
Data produced from instruments that make multiple measurements are often rich in information that can be used to classify samples or to measure substances in complicated mixtures. The problem is often that there is so much data that it is difficult to distinguish between the useful aspects and the noise. Commercially available computer programs designed to operate on multivariate data can be used to focus on the information needed for a particular desired task.
Pattern recognition techniques are useful both for identification of the classes to which unknown samples belong and for detection of out of specification products, including those that have been adulterated.
Multivariate calibration enables determination of multiple analytes in mixtures and of single analytes in difficult matrices.
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