Evidence map›Paper›PMID 40558443›Full record

ArticleBiosensors2025

Electrochemical Sensor Platform for Rapid Detection of Foodborne Toxins.

Kundan Kumar Mishra, Krupa M Thakkar, Vikram Narayanan Dhamu, Sriram Muthukumar, Shalini Prasad

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Duplex EIS Sensor forBiosensors · 2025
    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

5 authors.

Kundan Kumar MishraDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Krupa M ThakkarDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Vikram Narayanan DhamuEnLiSense LLC, 1813 Audubon Pondway, Allen, TX 75013, USA.ORCID 0000-0001-9310-3276
Sriram MuthukumarEnLiSense LLC, 1813 Audubon Pondway, Allen, TX 75013, USA.ORCID 0000-0002-8761-7278
Shalini PrasadDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX 75080, USA.ORCID 0000-0002-2404-3801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zearalenone (ZEA), a potent mycotoxin commonly found in contaminated grains, presents a serious threat to food safety and public health. Conventional detection methods, including culture-based assays and laboratory-bound analytical tools, are often time-consuming, require specialized infrastructure, and lack portability, limiting their utility for rapid, on-site screening. In response, this study introduces a compact, real-time electrochemical sensing platform for the swift and selective detection of ZEA in corn flour matrices. Utilizing a non-faradaic, label-free approach based on Electrochemical Impedance Spectroscopy (EIS), the sensor leverages ZEA-specific antibodies to achieve rapid detection within 5 min. The platform demonstrates a low detection limit of 0.05 ng/mL, with a broad dynamic range from 0.1 ng/mL to 25.6 ng/mL. Reproducibility tests confirm consistent performance, with both inter- and intra-assay variation remaining under a 20% coefficient of variation (%CV). Comparative evaluation with standard benchtop systems underscores its accuracy and field applicability. This portable and user-friendly device provides a powerful tool for real-time mycotoxin monitoring, offering significant potential for improving food safety practices and enabling point-of-need testing in resource-limited settings.

Indexed as

Biosensing TechniquesElectrochemical TechniquesMycotoxinsZearalenoneDielectric SpectroscopyFood ContaminationLimit of DetectionReproducibility of ResultsZea maysMycotoxinsZearalenoneelectrochemical impedance spectroscopyimmunosensortoxinszearalenone

Identifiers

PMID40558443
PMCPMC12191336

What OpenQuestion holds

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LicenceCC BY
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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.