Combining Enhanced Resolving Power with Duty Cycle Improvements on a Multi-Reflecting Time-of-Flight Mass Spectrometer.
William J JohnsonMartin E PalmerEmmanuelle ClaudeMichael McCullaghPeter NixonJason WildgoosePublished in: Journal of the American Society for Mass Spectrometry (2024)
The combination of enhanced resolving power and improved duty cycle on a multireflecting time-of-flight mass spectrometer is described. Resolving power increases are achieved by extending the effective ion path length from 47 m to greater than 200 m. Path length increases are achieved through containment of ions within the analyzer for up to N = 5 passes using a pulsed deflection electrode. Resolving power was shown to increase from 220,000 to 402,000 (fwhm) at m / z 785 for N = 1 and N = 4 analyzer passes, respectively. Due to the timing of the pulsed deflection electrode, the approach is particularly suited to high resolution analysis over a targeted m / z range. Duty cycle enhancements are achieved for ions of the targeted m / z range via accumulation prior to orthogonal acceleration, providing signal improvements of 2 orders of magnitude. Achieving such high resolving powers at fast scan rates (30 Hz) can yield additional information such as fine isotope structure; when combined with ppb mass measurement accuracy, high confidence in analyte identification can be achieved. The technique is applied for N = 2 analyzer passes, demonstrating fine isotope structure for a typical UHPLC metabolite identification experiment at a 10 Hz acquisition rate. Additionally, mass spectrometry imaging data is acquired using DESI, demonstrating the improved image clarity achieved at >300,000 (fwhm).
Keyphrases
- high resolution
- mass spectrometry
- gas chromatography
- air pollution
- cancer therapy
- computed tomography
- tandem mass spectrometry
- ms ms
- liquid chromatography
- quantum dots
- magnetic resonance imaging
- drug delivery
- high resolution mass spectrometry
- healthcare
- electronic health record
- simultaneous determination
- carbon nanotubes
- deep learning
- social media
- health information
- photodynamic therapy