ABSTRACT
Data reduction is a key element in sample analysis. A novel data reduction approach is to treat a packed column gas chromatography (PGC)/ electron capture detector (ECD) chromatogram as a spectrum and use infrared spectral subtraction software to match the unknown to a standard(s) in an interactive mode. In PGC/ECD procedures, visual pattern recognition is normally the qualitative technique. An algorithm was written for the dedicated microprocessor which identified PGC/ECD peaks in the Aroclor retention windows and then converted the retention time-intensity data pairs into an n-dimensional vector. The automated data reduction techniques which have been reported can be categorized as either simple integration routines or pattern recognition routines. As noted repeatedly in this book, the data reduction can be a significant or even major source of analytical error. Computers and integrators can reduce the analysts work in data acquisition and reduction; however, the judgment of a qualified analyst is critical to reliable data reduction.
