The interfacing of gas and liquid chromatography with mass spectrometry often produces a signal that is not associated with information of interest. Mass Frontier provides tools for GC/MS and LC/MS data processing to improve the useful signal using a variety of advanced algorithms. The following types of data processing techniques are used in Mass Frontier:

1. Thresholding

2. Baseline Correction and Noise Elimination

3. Smoothing

4. Background Subtraction

The main purpose of chromatographic data processing is to prepare data so that it is valid for automated detection and deconvolution of chromatographic components. There are two principally different ways of combining data processing and component detection. You can either preprocess data in advance using a variety of methods for every processing type separately with number of customizable options and then begin component detection. Or you can perform data processing at the same time as component detection using predefined methods and options optimized for common chromatograms in the same window used for component detection.