Comparative analysis of SWIFT and Grid-SWIFT waveforms for improved ion excitation and isolation resolution

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Instrument Development

Background:

• Miniaturized mass spectrometers are vital for in situ analysis of complex mixtures.
• Enhancing ion isolation is key to improving selectivity and resolution in mass spectrometry.
• Stored Waveform Inverse Fourier Transform (SWIFT) is a common technique for ion manipulation.

Purpose of the Study:

• To compare and optimize ion isolation methods using SWIFT and Grid-SWIFT waveforms.
• To investigate the efficacy of Grid-SWIFT for selective ion isolation in a custom mass spectrometer.
• To develop a simulation approach to understand waveform performance.

Main Methods:

• Comparison of Stored Waveform Inverse Fourier Transform (SWIFT) and Grid-SWIFT waveforms for ion isolation.
• Optimization of waveform duration and amplitude.
• Simulation of ion trajectories within a linear ion trap (LIT) under SWIFT and Grid-SWIFT.
• Evaluation of ion isolation efficiency, peak resolution, spectral intensity, and energy leakage.

Main Results:

• Grid-SWIFT demonstrated superior performance over traditional SWIFT for target ion isolation.
• Optimization of waveform parameters improved ion isolation efficiency and peak resolution.
• Longer waveform durations were found to reduce energy leakage and increase isolation efficiency.
• Grid-SWIFT waveforms exhibited significantly less energy leakage compared to SWIFT waveforms.

Conclusions:

• Grid-SWIFT is a more effective waveform for ion isolation in miniaturized mass spectrometry.
• The developed simulation approach provides theoretical support for Grid-SWIFT's enhanced performance.
• Implementing Grid-SWIFT improves mass spectra intensity and resolution, advancing analytical capabilities.