New Approach Combining Molecular Fingerprints and Machine Learning to Estimate Relative Ionization Efficiency in Electrospray Ionization
Author:
Affiliation:
1. Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York YO10 5DD, U.K.
2. University of Manchester, Manchester M13 9PL, U.K.
Funder
Natural Environment Research Council
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.acs.org/doi/pdf/10.1021/acsomega.0c00732
Reference32 articles.
1. Effects of salt concentration on analyte response using electrospray ionization mass spectrometry
2. Effect of the conductivity of the electrosprayed solution on the electrospray current. Factors determining analyte sensitivity in electrospray mass spectrometry
3. Factors affecting the ionization efficiency of quaternary ammonium compounds in electrospray/ionspray mass spectrometry
4. Relating Electrospray Ionization Response to Nonpolar Character of Small Peptides
5. A Predictive Model for Matrix and Analyte Effects in Electrospray Ionization of Singly-Charged Ionic Analytes
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