Meaning
Mathematical processing of detector signals converts the peaks on a chromatogram into quantitative data regarding the composition of a material. Precise chromatographic integration defines the boundaries of each eluting component to determine its relative concentration. This step is essential for identifying low-molecular-weight additives and residual monomers in a resin sample.
It provides the data necessary to verify that a batch of material meets the purity requirements for high-performance applications.
Area Calculation
Software algorithms identify the start and end points of a peak to sum the electronic signal over time. Effective chromatographic integration requires a clear distinction between the peak and the background noise. Small errors in this calculation lead to significant inaccuracies in the final report.
Purity Assessment
The ratio of the main peak area to the total area of all detected peaks indicates the purity of the polymer or additive. Through chromatographic integration, a laboratory can detect the presence of volatile organic compounds that might cause odor issues in molded interior parts. This verification ensures that the material meets medical or food-contact standards.
Baseline Maintenance
A stable baseline allows for more reproducible results across different testing runs. Drift in the sensor signal complicates the chromatographic integration process. This stability is required for the detection of trace impurities.
