Evidence map›Paper›PMID 29287094›Full record

ArticlePloS one2017

Validation of a novel automatic deposition of bacteria and yeasts on MALDI target for MALDI-TOF MS-based identification using MALDI Colonyst robot.

Katerina Chudejova, Michal Bohac, Anna Skalova, Veronika Rotova, Costas C Papagiannitsis, Jana Hanzlickova, Tamara Bergerova, Jaroslav Hrabák

Abstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
  2. Proteome-Based Serotyping of the Food-Borne PathogensMolecules (Basel, Switzerland) · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Katerina ChudejovaBiomedical Center and Department of Microbiology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Plzen, Czech Republic.
Michal BohacBruker s.r.o., Brno, Czech Republic.
Anna SkalovaBiomedical Center and Department of Microbiology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Plzen, Czech Republic.
Veronika RotovaBiomedical Center and Department of Microbiology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Plzen, Czech Republic.
Costas C PapagiannitsisBiomedical Center and Department of Microbiology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Plzen, Czech Republic.
Jana HanzlickovaDepartment of Microbiology, University Hospital in Pilsen, Plzen, Czech Republic.
Tamara BergerovaBiomedical Center and Department of Microbiology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Plzen, Czech Republic.
Jaroslav HrabákBiomedical Center and Department of Microbiology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Plzen, Czech Republic.ORCID 0000-0003-1049-6604

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) -based identification of bacteria and fungi significantly changed the diagnostic process in clinical microbiology. We describe here a novel technique for bacterial and yeast deposition on MALDI target using an automated workflow resulting in an increase of the microbes' score of MALDI identification. We also provide a comparison of four different sample preparation methods. In the first step of the study, 100 Gram-negative bacteria, 100 Gram-positive bacteria, 20 anaerobic bacteria and 20 yeasts were spotted on the MALDI target using manual deposition, semi-extraction, wet deposition onto 70% formic acid and by automatic deposition using MALDI Colonyst. The lowest scores were obtained by manual toothpick spotting which significantly differ from other methods. Identification score of semi-extraction, wet deposition and automatic wet deposition did not significantly differ using calculated relative standard deviation (RSD). Nevertheless, the best results with low error rate have been observed using MALDI Colonyst robot. The second step of validation included processing of 542 clinical isolates in routine microbiological laboratory by a toothpick direct spotting, on-plate formic acid extraction (for yeasts) and automatic deposition using MALDI Colonyst. Validation in routine laboratory process showed significantly higher identification scores obtained using automated process compared with standard manual deposition in all tested microbial groups (Gram-positive, Gram-negative, anaerobes, and yeasts). As shown by our data, automatic colony deposition on MALDI target results in an increase of MALDI-TOF MS identification scores and reproducibility.

Indexed as

RoboticsAutomationBacteriaSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationYeasts

Identifiers

PMID29287094
PMCPMC5747426

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Registered trials

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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.