Resolution enhancement of overlapped peaks of ion mobility spectrometry based on stationary wavelet transform

Abstract

Lack of sufficient resolving power is one common problem in quantitative determination using ion mobility spectrometry (IMS) method. This paper proposes a new application of stationary wavelet transform (SWT) in resolving the overlapped peaks in IMS. Firstly, the ion product overlapped peaks are denoised by wavelet transform and secondly, the overlapping peaks are resolved by looking into coefficients of SWT. One-and two-component overlapping ion peaks of IMS are processed with the developed SWT method, which yields the significant improvement of resolution.KEYWORDS denoising, ion mobility spectrometry (IMS), overlapping peaks, resolution enhancement, stationary wavelet transform (SWT)

Quantitative Determination Of Cd Using Energy Dispersion XRF Based On Gaussian Mixture Clustering-Multilevel Model Recalibration

“…Sheibani employed stationary wavelet denoising to address noise issues in XRF detection spectral signals, thereby enhancing the accuracy of XRF quantitative analysis. 14 Additionally, discrete wavelet models have been utilized to correct the relationship between XRF spectral peaks and soil heavy metal concentrations. 15 Furthermore, the Compton compensation method has been adopted to correct the absorption of fluorescence X-rays by soil moisture, enabling quantitative analysis of soil heavy metal elements.…”

“…15 Furthermore, the Compton compensation method has been adopted to correct the absorption of fluorescence X-rays by soil moisture, enabling quantitative analysis of soil heavy metal elements. 14 The aforementioned quantitative method involves quantitative calculation of XRF detection results through various approaches, including reducing background noise, fitting characteristic peaks of the element under investigation, and correcting these peaks based on influencing factors. However, the content of heavy metals in soil exhibits different gradient distributions influenced by soil type and parent material.…”

Resolution enhancement of overlapping peaks of ion mobility spectrometry based on improved particle swarm optimization algorithm

“…Different improved methods based on WT have achieved good results in the enhancement of resolution of overlapping peaks. [35][36][37] The genetic algorithm (GA) has a strong peak separation ability in severely overlapped area, 38 and an overlapping peaks separation method algorithm based on the GA improved the precision of separation. 39 The separation accuracy of the above described methods, however, depend excessively on the selection of model parameters, degree of overlap of overlapping peaks, and so on.…”

“…The wavelet transform (WT) is an effective signal analysis method that developed from Fourier transform. Different improved methods based on WT have achieved good results in the enhancement of resolution of overlapping peaks 35–37 . The genetic algorithm (GA) has a strong peak separation ability in severely overlapped area, 38 and an overlapping peaks separation method algorithm based on the GA improved the precision of separation 39 .…”