Evidence map›Paper›PMID 41294751›Full record

ArticleBiosensors2025

Machine Learning-Assisted SERS Platform for Rapid and Quantitative Discrimination of Shiga Toxin-Producing

Yuting Liu, Jiyu Feng, Xinyi Chen, Mingyu Cheng, Jinglan Zhang, Xu Ye, Yiping Zhao, Bin Ai

Abstract read
In one paragraph

Article in Biosensors, 2025. 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. Review
  3. 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

8 authors.

Yuting LiuChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Jiyu FengChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.ORCID 0009-0005-0961-1267
Xinyi ChenChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.ORCID 0000-0003-2320-3161
Mingyu ChengChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Jinglan ZhangChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Xu YeChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Yiping ZhaoDepartment of Physics and Astronomy, The University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-3710-4159
Bin AiChongqing Key Laboratory of Bio-Perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.ORCID 0000-0002-0502-9166

Funding

2022 Chongqing Science and Technology Bureau Science and Technology Plan Project (Chongqing Natural Science Foundation General Project) CSTB2022NSCQ-MSX0384Science and Technology Support Plan for Youth Innovation in Universities of Shan-dong Province 2023KJ255
6 · The paper itself

Abstract

Rapid, sensitive, and specific detection of pathogenic

Indexed as

Machine LearningShiga-Toxigenic Escherichia coliSpectrum Analysis, RamanBiosensing TechniquesNanotubesSerogroupSilverSilverEscherichia coli serotypespathogen detectionsilver nanorod arrayssurface-enhanced Raman scattering (SERS)vancomycin functionalization

Identifiers

PMID41294751
PMCPMC12650715

What OpenQuestion holds

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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.