Evidence map›Paper›PMID 42234147›Full record

ArticleAnalytical and bioanalytical chemistry2026

From bulk samples to single cells: measurement strategies in Raman-based antibiotic susceptibility testing.

Marie-Luise Enghardt, Andreea Winterfeld, Susanne Pahlow, Anja Silge, Jürgen Popp

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Marie-Luise Enghardt *Member of: Leibniz Research Alliance Health Technologies; Leibniz Research Alliance INFECTIONS; Leibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Jena, Germany.ORCID http://orcid.org/0009-0000-9766-9824
Andreea Winterfeld *Member of: Leibniz Research Alliance Health Technologies; Leibniz Research Alliance INFECTIONS; Leibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Jena, Germany.ORCID http://orcid.org/0009-0007-3189-0842
Susanne PahlowMember of: Leibniz Research Alliance Health Technologies; Leibniz Research Alliance INFECTIONS; Leibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Jena, Germany.ORCID http://orcid.org/0000-0002-2421-4519
Anja SilgeMember of: Leibniz Research Alliance Health Technologies; Leibniz Research Alliance INFECTIONS; Leibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Jena, Germany.ORCID http://orcid.org/0000-0002-6262-6020
Jürgen PoppMember of: Leibniz Research Alliance Health Technologies; Leibniz Research Alliance INFECTIONS; Leibniz Centre for Photonics in Infection Research (LPI), Leibniz Institute of Photonic Technology, Jena, Germany. juergen.popp@leibniz-ipht.de.ORCID http://orcid.org/0000-0003-4257-593X

Funding

Bundesministerium für Forschung und Technologie 03WIR5814ABundesministerium für Forschung und Technologie 13GW0459ABundesministerium für Forschung und Technologie 13N15704Deutsche Forschungsgemeinschaft EXC 2051 - Project ID 390713860
6 · The paper itself

Abstract

Raman-spectroscopy based antibiotic susceptibility testing (AST) enables rapid phenotypic analysis of bacterial responses to antibiotics. However, many established approaches rely on bulk bacterial material, limiting their applicability to samples with low and variable cell numbers, such as urine, where washing or medium exchange is often impractical. We systematically compare three Raman-based measurement strategies differing in sample preparation and cellular presentation: (i) dried bulk measurements on CaF

Indexed as

Antibiotic susceptibility testingBioassaysEscherichia coliRaman spectroscopySingle-cell Raman spectroscopy

Identifiers

What OpenQuestion holds

Textmetadata
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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.