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Two‐dimensional mass spectrometry in a linear ion trap, an in silico model
Author(s) -
Agthoven Maria A.,
O'Connor Peter B.
Publication year - 2017
Publication title -
rapid communications in mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 136
eISSN - 1097-0231
pISSN - 0951-4198
DOI - 10.1002/rcm.7836
Subject(s) - chemistry , mass spectrometry , fourier transform ion cyclotron resonance , top down proteomics , ion trap , quadrupole ion trap , ion , analytical chemistry (journal) , tandem mass spectrometry , mass spectrum , fragmentation (computing) , time of flight mass spectrometry , chromatography , selected reaction monitoring , ionization , organic chemistry , computer science , operating system
Rationale Two‐dimensional mass spectrometry (2D MS) is a technique that correlates precursor and product ions in a sample without requiring prior ion isolation. Until now, this technique has only been implemented on Fourier transform ion cyclotron resonance mass spectrometers. By coupling 2D MS techniques in linear ion traps (LITs) with a mass analyser with a fast duty cycle (e.g. time‐of‐flight), data‐independent tandem mass spectrometry techniques can be compatible on a liquid chromatography (LC) or gas chromatography (GC) timescale. Methods The feasibility of 2D MS in a LIT is explored using SIMION ion trajectory calculations. Results By applying stored waveform inverse Fourier transform techniques for radial excitation on a LIT, the sizes of ion clouds were found to be modulated according to the ions' resonant frequencies in the LIT. By simulating a laser‐based fragmentation at the centre of the LIT after the radius modulation step, product ion abundances were found to be modulated according to the resonant frequency of their precursor. Conclusions A 2D mass spectrum could be obtained using the results from the simulation. This in silico model shows the feasibility of 2D MS on a LIT. 2D MS in a LIT allows for tandem mass spectrometry without ion isolation. Copyright © 2017 John Wiley & Sons, Ltd.