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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
Published on: January 20, 2022
Ion Fragmentation and Filtering by Alpha Function in Ion Mobility Spectrometry for Improved Compound Differentiation
Alexander Bohnhorst1, Ansgar T Kirk1, Yu Yin1
1Leibniz Universität Hannover , Institute of Electrical Engineering and Measurement Technology Department of Sensors and Measurement Technology , Appelstrasse 9A , 30167 Hannover , Germany.
Collision induced dissociation (CID) was demonstrated in a field asymmetric ion mobility spectrometer (FAT-IMS) for enhanced compound identification. This technique provides substance-specific fragmentation patterns for improved analyte analysis at ambient conditions.
Area of Science:
- Analytical Chemistry
- Spectrometry
- Ion Mobility Spectrometry
Background:
- Collision induced dissociation (CID) is crucial in mass spectrometry for ion structural analysis and compound identification beyond mass-to-charge ratio (m/z).
- CID involves increasing ion kinetic energy, leading to fragmentation upon collision with neutral molecules if sufficient energy is applied.
Purpose of the Study:
- To demonstrate collision induced dissociation (CID) for the first time in a field asymmetric ion mobility spectrometer (FAT-IMS).
- To analyze the effect of operational parameters on fragmentation efficiency within the FAT-IMS.
- To introduce a method for prefiltering analytes using the alpha function to mitigate spectral interferences.
Main Methods:
- Implementation and testing of CID within a field asymmetric time of flight ion mobility spectrometer (FAT-IMS) operating at ambient pressure and temperature.
- Separation of ions prior to dissociation in the FAT region to improve fragment ion assignment to precursor ions.
- Analysis of operational parameters influencing fragmentation efficiency and application of the alpha function for analyte prefiltering.
Main Results:
- Successful demonstration of CID in FAT-IMS, enabling ion separation before dissociation for enhanced fragment ion attribution.
- Investigation of eight saturated alcohols revealed substance-specific fragmentation patterns, offering orthogonal information for analyte identification.
- Introduction of a prefiltering method using the alpha function effectively reduced spectral interferences.
Conclusions:
- FAT-IMS is a viable platform for implementing CID, offering advantages such as ambient operation and pre-dissociation ion separation.
- CID in FAT-IMS provides valuable substance-specific fragmentation data, augmenting analyte characterization.
- The developed prefiltering method enhances spectral quality by removing interferences.
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