Literature DB >> 15144185

Use of statistical methods for estimation of total number of charges in a mass spectrometry experiment.

Parminder Kaur1, Peter B O'Connor.   

Abstract

Estimation of the number of ions in a mass spectrometry experiment is needed to determine instrumentation parameters such as ionization efficiency, collision-induced dissociation efficiency, ion-transfer efficiency, ion trapping efficiency, and preamplifier detection limit. This work aims at analyzing the statistical characteristics (primarily variance) in the intensities of the isotopic distributions, which depend on the number of ions in the cell. A mathematical derivation was developed based on the maximum likelihood estimation method, which estimates the most likely number of ions in the cell using a method known as nonrandom parameter estimation. The performance of the method improves with increase in the number of observed distributions. The method works well provided the spectra show isotopic resolution and is independent of the instrument or method used to arrive at the spectra.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15144185     DOI: 10.1021/ac035334w

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


  7 in total

1.  Quantitative determination of isotope ratios from experimental isotopic distributions.

Authors:  Parminder Kaur; Peter B O'Connor
Journal:  Anal Chem       Date:  2007-02-01       Impact factor: 6.986

2.  A low-noise, wideband preamplifier for a Fourier-transform ion cyclotron resonance mass spectrometer.

Authors:  Raman Mathur; Ronald W Knepper; Peter B O'Connor
Journal:  J Am Soc Mass Spectrom       Date:  2007-09-29       Impact factor: 3.109

3.  Algorithms for automatic interpretation of high resolution mass spectra.

Authors:  Parminder Kaur; Peter B O'Connor
Journal:  J Am Soc Mass Spectrom       Date:  2006-02-07       Impact factor: 3.109

4.  A low noise single-transistor transimpedance preamplifier for Fourier-transform mass spectrometry using a T feedback network.

Authors:  Tzu-Yung Lin; Roger J Green; Peter B O'Connor
Journal:  Rev Sci Instrum       Date:  2012-09       Impact factor: 1.523

5.  Comparison of data acquisition strategies on quadrupole ion trap instrumentation for shotgun proteomics.

Authors:  Jesse D Canterbury; Gennifer E Merrihew; Michael J MacCoss; David R Goodlett; Scott A Shaffer
Journal:  J Am Soc Mass Spectrom       Date:  2014-09-27       Impact factor: 3.109

6.  A new approach to measuring protein backbone protection with high spatial resolution using H/D exchange and electron capture dissociation.

Authors:  Rinat R Abzalimov; Cedric E Bobst; Igor A Kaltashov
Journal:  Anal Chem       Date:  2013-09-12       Impact factor: 6.986

7.  NITPICK: peak identification for mass spectrometry data.

Authors:  Bernhard Y Renard; Marc Kirchner; Hanno Steen; Judith A J Steen; Fred A Hamprecht
Journal:  BMC Bioinformatics       Date:  2008-08-28       Impact factor: 3.169

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.