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Chen EX, Gehm M, Danell R, et al. Compressive mass analysis on quadrupole ion trap systems. J Am Soc Mass Spectrom. 2014;25(7):1295-304doi: 10.1007/s13361-014-0894-z.
Chen, E. X., Gehm, M., Danell, R., Wells, M., Glass, J. T., & Brady, D. (2014). Compressive mass analysis on quadrupole ion trap systems. Journal of the American Society for Mass Spectrometry, 25(7), 1295-304. https://doi.org/10.1007/s13361-014-0894-z
Chen, Evan Xuguang, et al. "Compressive mass analysis on quadrupole ion trap systems." Journal of the American Society for Mass Spectrometry vol. 25,7 (2014): 1295-304. doi: https://doi.org/10.1007/s13361-014-0894-z
Chen EX, Gehm M, Danell R, Wells M, Glass JT, Brady D. Compressive mass analysis on quadrupole ion trap systems. J Am Soc Mass Spectrom. 2014 Jul;25(7):1295-304. doi: 10.1007/s13361-014-0894-z. Epub 2014 May 08. PMID: 24806048.
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J Am Soc Mass Spectrom. 2014 Jul;25(7):1295-304. doi: 10.1007/s13361-014-0894-z. Epub 2014 May 08.

Compressive mass analysis on quadrupole ion trap systems.

Journal of the American Society for Mass Spectrometry

Evan Xuguang Chen, Michael Gehm, Ryan Danell, Mitch Wells, Jeffrey T Glass, David Brady

Affiliations

  1. Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708, USA.

PMID: 24806048 DOI: 10.1007/s13361-014-0894-z

Abstract

Conventionally, quadrupole ion trap mass spectrometers eject ions of different mass-to-charge ratio (m/z) in a sequential fashion by performing a scan of the rf trapping voltage amplitude. Due to the inherent sparsity of most mass spectra, the detector measures no signal for much of the scan time. By exploiting this sparsity property, we propose a new compressive and multiplexed mass analysis approach--multi Resonant Frequency Excitation (mRFE) ejection. This new approach divides the mass spectrum into several mass subranges and detects all the subrange spectra in parallel for increased mass analysis speed. Mathematical estimation of standard mass spectrum is demonstrated while statistical classification on the parallel measurements remains viable because of the sparse nature of the mass spectra. This method can reduce mass analysis time by a factor of 3-6 and increase system duty cycle by 2×. The combination of reduced analysis time and accurate compound classification is demonstrated in a commercial quadrupole ion trap (QIT) system.

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