Ionisation bias undermines the use of matrix-assisted laser desorption/ionisation for estimating peptide deamidation : Synthetic peptide studies demonstrate electrospray ionisation gives more reliable response ratios

Simpson, Joanna P., Fascione, Martin orcid.org/0000-0002-0066-4419, Bergström, Ed et al. (4 more authors) (2019) Ionisation bias undermines the use of matrix-assisted laser desorption/ionisation for estimating peptide deamidation : Synthetic peptide studies demonstrate electrospray ionisation gives more reliable response ratios. Rapid Communications in Mass Spectrometry. pp. 1049-1057. ISSN 1097-0231

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Authors
Dates:
  • Accepted: 17 March 2019
  • Published (online): 25 March 2019
  • Published: 30 June 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Chemistry (York)
The University of York
The University of York > Faculty of Sciences (York) > Mathematics (York)
The University of York > Faculty of Arts and Humanities (York) > Archaeology (York)
Depositing User: Pure (York)
Date Deposited: 22 Mar 2019 12:40
Last Modified: 15 Dec 2023 00:11
Published Version: https://doi.org/10.1002/rcm.8441
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1002/rcm.8441
Related URLs:

Downloads

Filename: revised_manuscript_Joanna_Simpson_with_figures.docx

Description: revised manuscript Joanna Simpson with figures

Licence: CC-BY 2.5

Filename: Ionisation_bias_undermines_the_use_of_matrix_assisted_laser_desorption_ionisation_for_estimating_peptide_deamidation_Synthetic_peptide_studies_demonstrate_electrospray_ionisation_gives_more_reliable_response_ratios_Simpson_.html

Description: Ionisation bias undermines the use of matrix‐assisted laser desorption_ionisation for estimating peptide deamidation_ Synthetic peptide studies demonstrate electrospray ionisation gives more reliable response ratios - Simpson -

Licence: CC-BY 2.5

Export

Statistics