Evidence map›Paper›PMID 39065901›Full record

ArticleSensors (Basel, Switzerland)2024

Raman-Activated, Interactive Sorting of Isotope-Labeled Bacteria.

Sepehr Razi, Nicolae Tarcea, Thomas Henkel, Ramya Ravikumar, Aikaterini Pistiki, Annette Wagenhaus, Sophie Girnus, Martin Taubert, Kirsten Küsel, Petra Rösch and 1 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. ISME communications · 2026
    Article
  3. 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

11 authors.

Sepehr RaziLeibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, 07745 Jena, Germany.
Nicolae TarceaLeibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, 07745 Jena, Germany.
Thomas HenkelLeibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, 07745 Jena, Germany.ORCID 0000-0003-2896-500X
Ramya RavikumarInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, 07743 Jena, Germany.
Aikaterini PistikiLeibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, 07745 Jena, Germany.
Annette WagenhausInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, 07743 Jena, Germany.
Sophie GirnusInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, 07743 Jena, Germany.
Martin TaubertCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07743 Jena, Germany.ORCID 0000-0002-9498-0841
Kirsten KüselCluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, 07743 Jena, Germany.
Petra RöschInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University, 07743 Jena, Germany.ORCID 0000-0001-6179-3719
Jürgen PoppLeibniz-Institute of Photonic Technology, Member of the Leibniz Research Alliance-Leibniz Health Technologies, 07745 Jena, Germany.

Funding

Deutsche Forschungsgemeinschaft 390713860Deutsche Forschungsgemeinschaft CRC 1076
6 · The paper itself

Abstract

Due to its high spatial resolution, Raman microspectroscopy allows for the analysis of single microbial cells. Since Raman spectroscopy analyzes the whole cell content, this method is phenotypic and can therefore be used to evaluate cellular changes. In particular, labeling with stable isotopes (SIPs) enables the versatile use and observation of different metabolic states in microbes. Nevertheless, static measurements can only analyze the present situation and do not allow for further downstream evaluations. Therefore, a combination of Raman analysis and cell sorting is necessary to provide the possibility for further research on selected bacteria in a sample. Here, a new microfluidic approach for Raman-activated continuous-flow sorting of bacteria using an optical setup for image-based particle sorting with synchronous acquisition and analysis of Raman spectra for making the sorting decision is demonstrated, showing that active cells can be successfully sorted by means of this microfluidic chip.

Indexed as

BacteriaIsotope LabelingSpectrum Analysis, RamanFlow CytometryMicrofluidicsbacteriaisotope labelingmicrofluidic sortingRaman spectroscopy

Identifiers

PMID39065901
PMCPMC11281290

What OpenQuestion holds

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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.