Evidence map›Paper›PMID 40238203›Full record

ArticleFoods (Basel, Switzerland)2025

A Dual-Recognition Electrochemical Sensor Using Bacteria-Imprinted Polymer and Concanavalin A for Sensitive and Selective Detection of

Xuejie Niu, Yuanbing Ma, Hui Li, Shuang Sun, Luoyuan Shi, Juan Yan, Donglei Luan, Yong Zhao, Xiaojun Bian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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
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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

9 authors.

Xuejie NiuInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Yuanbing MaInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Hui LiInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Shuang SunInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Luoyuan ShiInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Juan YanInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0003-4529-2046
Donglei LuanInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0003-2292-4880
Yong ZhaoInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Xiaojun BianInternational Research Center for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.ORCID 0000-0002-1750-6433

Funding

the National Key Research and Development Program of China; the Key Research and Development Program of Shandong Province No. 2024YFD2402204; 2023CXPT050
6 · The paper itself

Abstract

The accurate detection and quantification of pathogenic bacteria is crucial for ensuring public health. In this work, we propose a sensitive and selective sandwich electrochemical sensor for detecting

Indexed as

bacteria-imprinted polymerconcanavalin Aelectrochemical sensorspathogenic bacteria

Identifiers

PMID40238203
PMCPMC11989128

What Socratic holds

Textmetadata
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 Socratic graph.