Reliability of data acquisition and processing approaches for chromatography detection systems in pharmacy

Nowadays pharmaceutical analysis and industry could not be imagined without using chromatographic methods like the High Performance Liquid Chromatography (HPLC) and Gas Chromatography (GC). Therefore, the field of chromatography is already firmly anchored in the three important, regional pharmacopeias: EP, USP and JP. Deficits of specifications within these pharmacopoeias relating to the detector parameters sampling rate and signal filtration are the major motivation of this thesis. Furthermore investigations on the data acquisition and processing within the detectors and software products dealing with collected data were done. Several concepts like double entry method, smoothing optimization and signal filtration based on persistence have been developed and are used as tools to examine the data integrity of commercial Chromatography Data System (CDS), improve the signal-to-noise ratio of small peaks to lower the LOD and LOQ by efficient denoising, and determine the suitable filter parameters and sampling rates an user can apply on his system to accelerate the method development and validation. All developments have been tested on simulated and real chromatograms and have shown that they are suitable for their specific purposes. In the end optimizations in the concepts still exist but some new aspects in the long-term investigated field of chromatography have been discovered.