Literature DB >> 9406535

A predictive model for matrix and analyte effects in electrospray ionization of singly-charged ionic analytes.

C G Enke1.   

Abstract

In electrospray ionization (ESI), droplets with a surface excess charge are created. The rate of production of surface excess charge is a constant and is equal to the rate of ion production. The ions appearing in the mass spectrum are postulated to be those that formed the surface excess charge at the time of droplet formation (or their collision products). An equilibrium model based on competition among the ions in the solution for the limited number of excess charge sites has been developed. This model accurately predicts the response curves of singly-charged ionic analytes as a function of the concentration of electrolyte and other analytes and provides an explanation for the selective effectiveness of ESI. At low concentrations of total analyte (micromolar and less), the response curves are linear, indifferent to the presence of other low concentration analytes, and suppressed by electrolyte concentrations in excess of the minimum required. At higher analyte concentrations, the response becomes independent of analyte concentration but highly affected by the presence of other analytes.

Entities:  

Mesh:

Year:  1997        PMID: 9406535     DOI: 10.1021/ac970095w

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  51 in total

1.  Effects of salt concentration on analyte response using electrospray ionization mass spectrometry.

Authors:  T L Constantopoulos; G S Jackson; C G Enke
Journal:  J Am Soc Mass Spectrom       Date:  1999-07       Impact factor: 3.109

2.  Protonation in electrospray mass spectrometry: wrong-way-round or right-way-round?

Authors: 
Journal:  J Am Soc Mass Spectrom       Date:  2000-11       Impact factor: 3.109

3.  Effect of different solution flow rates on analyte ion signals in nano-ESI MS, or: when does ESI turn into nano-ESI?

Authors:  Andrea Schmidt; Michael Karas; Thomas Dülcks
Journal:  J Am Soc Mass Spectrom       Date:  2003-05       Impact factor: 3.109

4.  Automated orthogonal control system for electrospray ionization.

Authors:  Gary A Valaskovic; James P Murphy; Mike S Lee
Journal:  J Am Soc Mass Spectrom       Date:  2004-08       Impact factor: 3.109

5.  Charge competition and the linear dynamic range of detection in electrospray ionization mass spectrometry.

Authors:  Keqi Tang; Jason S Page; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2004-10       Impact factor: 3.109

6.  Sequential and exhaustive ionization of analytes with different surface activity by probe electrospray ionization.

Authors:  Mridul Kanti Mandal; Lee Chuin Chen; Kenzo Hiraoka
Journal:  J Am Soc Mass Spectrom       Date:  2011-05-25       Impact factor: 3.109

7.  Improving liquid chromatography-mass spectrometry sensitivity using a subambient pressure ionization with nanoelectrospray (SPIN) interface.

Authors:  Keqi Tang; Jason S Page; Ioan Marginean; Ryan T Kelly; Richard D Smith
Journal:  J Am Soc Mass Spectrom       Date:  2011-04-22       Impact factor: 3.109

8.  Investigation of electrospray ionization and electrostatic focusing devices using a three-dimensional electrospray current density profiler.

Authors:  J Will Thompson; John W Eschelbach; Richard T Wilburn; James W Jorgenson
Journal:  J Am Soc Mass Spectrom       Date:  2005-03       Impact factor: 3.109

9.  Determination of affinity constants and response factors of the noncovalent dimer of gramicidin by electrospray ionization mass spectrometry and mathematical modeling.

Authors:  Raghu K Chitta; Don L Rempel; Michael L Gross
Journal:  J Am Soc Mass Spectrom       Date:  2005-07       Impact factor: 3.109

10.  Aspects of matrix and analyte effects in clinical pharmacokinetic sample analyses using LC-ESI/MS/MS - Two case examples.

Authors:  Guohua An; Thanh Bach; Inas Abdallah; Demet Nalbant
Journal:  J Pharm Biomed Anal       Date:  2020-01-30       Impact factor: 3.935

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