Evidence map›Paper›PMID 28872139›Full record

ArticleJournal of visualized experiments : JoVE2017

In Situ Characterization of Shewanella oneidensis MR1 Biofilms by SALVI and ToF-SIMS.

Rachel Komorek, Wenchao Wei, Xiaofei Yu, Eric Hill, Juan Yao, Zihua Zhu, Xiao-Ying Yu

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

7 authors.

Rachel KomorekEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory.
Wenchao WeiEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory.
Xiaofei YuWiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory.
Eric HillEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory.
Juan YaoEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory.
Zihua ZhuWiley Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory.
Xiao-Ying YuEarth and Biological Sciences Directorate, Pacific Northwest National Laboratory; xiaoying.yu@pnnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial biofilms are surface-associated communities that are vastly studied to understand their self-produced extracellular polymeric substances (EPS) and their roles in environmental microbiology. This study outlines a method to cultivate biofilm attachment to the System for Analysis at the Liquid Vacuum Interface (SALVI) and achieve in situ chemical mapping of a living biofilm by time-of-flight secondary ion mass spectrometry (ToF-SIMS). This is done through the culturing of bacteria both outside and within the SALVI channel with our specialized setup, as well as through optical imaging techniques to detect the biofilm presence and thickness before ToF-SIMS analysis. Our results show the characteristic peaks of the Shewanella biofilm in its natural hydrated state, highlighting upon its localized water cluster environment, as well as EPS fragments, which are drastically different from the same biofilm's dehydrated state. These results demonstrate the breakthrough capability of SALVI that allows for in situ biofilm imaging with a vacuum-based chemical imaging instrument.

Indexed as

BiofilmsShewanellaSpectrometry, Mass, Secondary Ion

Identifiers

PMID28872139
PMCPMC5614344

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.