Evidence map›Paper›PMID 40258302›Full record

ArticleAnalytical chemistry2025

Nano-Infrared Detection and Identification of Bacteria at the Single-Cell Level.

Axell Rodriguez, Yana Purvinsh, Junjie Zhang, Artem S Rogovskyy, Dmitry Kurouski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Axell RodriguezDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Yana PurvinshDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Junjie ZhangDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.
Artem S RogovskyyDepartment of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, Michigan 48824, United States.
Dmitry KurouskiDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-6040-4213

Funding

Biophysical determination of the underlying cause of α-Syn oligomer toxicityR35GM142869 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI KUROUSKI, DMITRY · 2021 to 2025
$1.6M
NIGMS NIH HHS R35 GM142869
6 · The paper itself

Abstract

Every year, bacterial infections are responsible for over 7 million deaths globally. Timely detection and identification of these pathogens enable timely administration of antimicrobial agents, which can save thousands of lives. Most of the currently known approaches that can address these needs are time- and labor consuming. In this study, we examine the potential of innovative nano-infrared spectroscopy, also known as atomic force microscopy infrared (AFM-IR) spectroscopy, and machine learning in the identification of different bacteria. We demonstrate that a single bacteria cell is sufficient to identify

Indexed as

BacteriaSingle-Cell AnalysisAcinetobacter baumanniiBorrelia burgdorferiEscherichia coliMachine LearningMicroscopy, Atomic ForceMycobacterium smegmatisSpectrophotometry, Infrared

Identifiers

PMID40258302
PMCPMC12060090

What OpenQuestion holds

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LicenceCC BY
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.