PEAK REMODELING ALGORITHM
In an ideal world, chromatographic peaks would always be Gaussian. However, experienced chromatographers know that it
is rarely the case, especially at trace concentration. This peak processing and modeling method allows the regrouping of the discontinuous signal generated from a GC detector, by a random distribution in time of sample molecules from a chromatographic system, into a Gaussian or other standard peak shape signal. This allows proper area integration and reporting of non-Gaussian peaks that will be otherwise misinterpreted by the chromatographic system. This method is much more beneficial and finds
its niche when use in combination with a plasma discharge detector system as described in the patent application, since such detector is moving away from traditional ones.