Literature DB >> 22223309

Automating data acquisition affects mass spectrum quality and reproducibility during bacterial profiling using an intact cell sample preparation method with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Stephanie Schumaker1, Connie M Borror, Todd R Sandrin.   

Abstract

The use of matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry (TOF MS) has emerged as a promising tool to rapidly profile bacteria at the genus and species level and, more recently, at the sub-species (strain) level. Recently, it has been proposed that the approach can be enhanced with regard to reproducibility and throughput by automating spectrum acquisition; however, effects of automating spectrum acquisition on spectrum quality and reproducibility have not been investigated. Using an intact cell-based sample preparation method, we directly compared the quality and reproducibility of spectra acquired in a fully automated fashion to those acquired manually by two operators with different levels of experience. While automation tended to increase base peak resolution, other measures of spectrum quality, including signal-to-noise (S:N) ratio, data richness, and reproducibility were reduced. Negative effects of automation on the performance of this approach to bacterial profiling may be particularly important during profiling of closely related strains of bacteria that yield very similar spectra.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22223309     DOI: 10.1002/rcm.5309

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  6 in total

1.  Comparison of the Bruker Biotyper and Vitek MS matrix-assisted laser desorption ionization-time of flight mass spectrometry systems for identification of mycobacteria using simplified protein extraction protocols.

Authors:  Cheryl A Mather; Sheila F Rivera; Susan M Butler-Wu
Journal:  J Clin Microbiol       Date:  2013-10-30       Impact factor: 5.948

2.  MALDI-TOF-MS with PLS Modeling Enables Strain Typing of the Bacterial Plant Pathogen Xanthomonas axonopodis.

Authors:  Nathan M Sindt; Faith Robison; Mark A Brick; Howard F Schwartz; Adam L Heuberger; Jessica E Prenni
Journal:  J Am Soc Mass Spectrom       Date:  2017-11-27       Impact factor: 3.109

3.  Teaching Microbial Identification with Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) and Bioinformatics Tools.

Authors:  Wenfa Ng
Journal:  J Microbiol Biol Educ       Date:  2013-05-06

4.  A Designed Experiments Approach to Optimizing MALDI-TOF MS Spectrum Processing Parameters Enhances Detection of Antibiotic Resistance in Campylobacter jejuni.

Authors:  Christian Penny; Beau Grothendick; Lin Zhang; Connie M Borror; Duane Barbano; Angela J Cornelius; Brent J Gilpin; Clifton K Fagerquist; William J Zaragoza; Michele T Jay-Russell; Albert J Lastovica; Catherine Ragimbeau; Henry-Michel Cauchie; Todd R Sandrin
Journal:  Front Microbiol       Date:  2016-05-31       Impact factor: 5.640

5.  Biological silicon nanoparticles maximize the efficiency of nematicides against biotic stress induced by Meloidogyne incognita in eggplant.

Authors:  Ramadan M El-Ashry; Mohamed T El-Saadony; Ahmed E A El-Sobki; Amira M El-Tahan; Saad Al-Otaibi; Ahmed M El-Shehawi; Ahmed M Saad; Nashwa Elshaer
Journal:  Saudi J Biol Sci       Date:  2021-10-11       Impact factor: 4.219

6.  A designed experiments approach to optimization of automated data acquisition during characterization of bacteria with MALDI-TOF mass spectrometry.

Authors:  Lin Zhang; Connie M Borror; Todd R Sandrin
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.