Correlation chromatography principals

One must consider the number of product terms that should be included in a model. For chromatography data obtained from similar samples, it can be expected that the data will contain a high degree of correlation. In our experiments, two- or three-component models usually accounted for >90% of the variance in the data for a class of similar samples. Results from crossvalidation should be considered as the primary criteria in selecting the number of principal components to be extracted from a given data set (34). 

Electronic nose technology and analysis of volatiles has long been apphed in the food industry to control the quahty of food products and to determine shelf hves. For example, sensor arrays based on different Sn02 gas sensors can be used to distingiush milk products of different rancidity levels [41]. Standard microbial test prediction of shelf hfe of milk products has a low level of reliability due to relatively poor correlation between microbial counts and actual shelf hfe. Several alternative methods have therefore been developed. One method is based on dynamic headspace capillary gas chromatography analyses of volatiles in mUk followed by MDA analyses. [42]. Principals of this method were later used for development of a faster and simpler test, where the extraction was performed by the SPME technique, the extracts... 

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