Evidence map›Paper›PMID 15465357›Full record

ArticleJournal of the American Society for Mass Spectrometry2004

MALDI-TOF-MS analysis of bacterial spores: wet heat-treatment as a new releasing technique for biomarkers and the influence of different experimental parameters and microbiological handling.

Verena Horneffer, Johan Haverkamp, Hans-Gerd Janssen, Pieter F ter Steeg, Regina Notz

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.International journal of molecular sciences · 2022
    Review
  4. Native ambient mass spectrometry of intact protein assemblies directly fromChemical communications (Cambridge, England) · 2022
    Article
4 · The record

Corrections and comments

  • Erratum issued
    ter Steeg, Pieter F [added]
5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Verena HornefferAdvanced Measurement and Imaging, Unilever R & D, Vlaardingen, The Netherlands. horneffer@mll.mu-luebeck.de
Johan Haverkamp
Hans-Gerd Janssen
Pieter F ter Steeg
Regina Notz
Unilever (Netherlands) · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short wet heat-treatment is presented as a new technique to release high-mass biomarkers to obtain strain-specific fingerprints of intact bacterial spores by matrix-assisted laser desorption/ionization-mass spectrometry (MALDI-MS). Wet heat-treatment was applied for several minutes (3-30) by two techniques using either a screw-cap tube submerged in a glycerol bath at 120 degrees C or an Eppendorff-tube submerged in a water bath at 100 degrees C. Both techniques turned out to be successful for releasing high-mass biomarkers. The influence of different experimental parameters and microbiological handling on the peak pattern of the released high-mass biomarkers was studied. While the sporulation medium, the applied washing procedure, and the choice of matrix crucially influenced the peak pattern, other parameters like storage conditions were found to be insignificant. A protocol of optimized experimental conditions for MALDI-MS of wet heat-treated spores is presented.

Indexed as

Hot TemperatureBacillusBiomarkersCulture MediaMicrobiological TechniquesSpecimen HandlingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSpores, BacterialWaterBiomarkersCulture MediaWater

Identifiers

PMID15465357
OpenAlexW2162674061

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.