LAUSR

Abstract Ion mobility spectrometry is a rapid, highly sensitive analytical method. However, it is difficult to extract qualitative and quantitative information accurately form overlapped ion mobility peaks. In this paper, a method based on sparse representation simultaneously realized baseline correction and decomposition of overlapped ion mobility peaks was proposed. A computationally generated set of 500 spectra and one real data set were used to evaluate the performance of the proposed method herein. After decomposition of overlapped ion mobility peaks, peak parameters (peak positions, heights and widths), the fitting error and the execution time were compared with the Peakfit package developed by Tom O’Haver's team. Results show that the method proposed can obtain more accurate peak parameters and smaller relative fitting errors than Peakfit package.