Evidence map›Paper›PMID 40870793›Full record

ReviewFoods (Basel, Switzerland)2025

Electrochemical Biosensors for Oilseed Crops: Nanomaterial-Driven Detection and Smart Agriculture.

Youwei Jiang, Kun Wan, Aiting Chen, Nana Tang, Na Liu, Tao Zhang, Qijun Xie, Quanguo He

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. 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

8 authors.

Youwei JiangSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0009-0005-3607-142X
Kun WanSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0009-0008-8221-4892
Aiting ChenSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Nana TangSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Na LiuSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Tao ZhangSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.
Qijun XieSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0000-0001-6168-8994
Quanguo HeSchool of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412007, China.ORCID 0000-0002-9849-7953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemical biosensors have emerged as a promising tool for the early detection of diseases in oilseed crops such as rapeseed, soybean, and peanut. These biosensors offer high sensitivity, portability, and cost-effectiveness. Timely diagnosis is critical, as many pathogens exhibit latent infection phases or produce invisible metabolic toxins, leading to substantial yield losses before visible symptoms occur. This review summarises recent advances in the field of nanomaterial-assisted electrochemical sensing for oilseed crop diseases, with a particular focus on sensor mechanisms, interface engineering, and biomolecular recognition strategies. The following innovations are highlighted: nanostructured electrodes, aptamer- and antibody-based probes, and signal amplification techniques. These innovations have enabled the detection of pathogen DNA, enzymes, and toxins at ultra-low concentrations. Notwithstanding these achievements, challenges persist, including signal interference from plant matrices, limitations in device miniaturization, and the absence of standardized detection protocols. Future research should explore the potential of AI-assisted data interpretation, the use of biodegradable sensor materials, and the integration of these technologies with agricultural IoT networks. The aim of this integration is to enable real-time, field-deployable disease surveillance. The integration of laboratory innovations with field applications has been demonstrated to have significant potential in supporting sustainable agriculture and strengthening food security through intelligent crop health monitoring.

Indexed as

electrochemical sensorsmolecular markersnanomaterialsoilseed crop diseasessmart agriculture

Identifiers

PMID40870793
PMCPMC12385818

What OpenQuestion 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 OpenQuestion graph.