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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

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Selection and generation of waveforms for differential mobility spectrometry.

Evgeny V Krylov¹, Stephen L Coy, John Vandermey

¹Sionex Corporation, 8-A Preston Ct., Bedford, Massachusetts 01730, USA. ekrylov@sionex.com

The Review of Scientific Instruments

|March 3, 2010

Summary

Differential mobility spectrometry (DMS) uses electric fields for ion separation. This study analyzes how waveform and field strength impact DMS resolution, optimizing generator designs for better chemical detection.

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Area of Science:

Analytical Chemistry
Spectrometry
Physical Chemistry

Background:

Differential mobility spectrometry (DMS) is a versatile technique used in various analytical systems, including ion prefilters for API-MS and standalone chemical detectors.
DMS performance, specifically ion separation, is critically dependent on the characteristics of the applied asymmetric electric field, known as the DMS separation field, and its waveform.
The separation mechanism relies on the alpha dependence, the difference between high and low field ion mobility.

Purpose of the Study:

To analyze the relationship between separation waveform parameters and DMS resolution.
To investigate feasible separation field generators and their circuit implementations for optimizing DMS performance.
To establish relationships connecting ion alpha dependence to DMS separation fields for generator design optimization.

Main Methods:

Analysis of ideal and practical DMS separation field waveforms.
Evaluation of DMS separation power for common generator types based on waveform parameters.
Determination of optimal waveforms for various ion alpha dependences using derived relationships.
Validation of theoretical calculations through experimental data comparison.

Main Results:

A set of relations was developed to connect ion alpha dependence with DMS separation fields, aiding generator design.
The DMS separation power of different generator types was evaluated as a function of waveform parameters.
Optimal waveforms were identified for major DMS separation generator types across a range of ion alpha dependences.

Conclusions:

The study provides a framework for optimizing DMS separation field generator designs by linking waveform characteristics to resolution.
Understanding the interplay between waveform parameters, separation field, and ion properties is crucial for enhancing DMS performance.
The findings facilitate the development of more effective DMS systems for chemical detection and identification.