Evidence map›Paper›PMID 40711253›Full record

ReviewNanomaterials (Basel, Switzerland)2025

Research Advances in Nanosensor for Pesticide Detection in Agricultural Products.

Li Feng, Xiaofei Yue, Junhao Li, Fangyao Zhao, Xiaoping Yu, Ke Yang

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

6 authors.

Li FengCollege of Agriculture, Forestry and Medicine, The Open University of China, Beijing 100039, China.ORCID 0000-0003-2509-8932
Xiaofei YueRehabilitation Pharmacy Center, Affiliated Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China.
Junhao LiSchool of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Fangyao ZhaoSchool of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Xiaoping YuSchool of Life Sciences, China Jiliang University, Hangzhou 310018, China.
Ke YangSchool of Life Sciences, China Jiliang University, Hangzhou 310018, China.

Funding

Key project at central government level: The ability establishment of sustainable use for valuable Chinese medicine resources 2060302
6 · The paper itself

Abstract

Over the past few decades, pesticide application has increased significantly, driven by population growth and associated urbanization. To date, pesticide use remains crucial for sustaining global food security by enhancing crop yields and preserving quality. However, extensive pesticide application raises serious environmental and health concerns worldwide due to its chemical persistence and high toxicity to organisms, including humans. Therefore, there is an urgent need to develop rapid and reliable analytical procedures for the quantification of trace pesticide residues to support public health management. Traditional methods, such as chromatography-based detection techniques, cannot simultaneously achieve high sensitivity, selectivity, cost-effectiveness, and portability, which limits their practical application. Nanomaterial-based sensing techniques are increasingly being adopted due to their rapid, efficient, user-friendly, and on-site detection capabilities. In this review, we summarize recent advances and emerging trends in commonly used nanosensing technologies, such as optical and electrochemical sensing, with a focus on recognition elements including enzymes, antibodies, aptamers, and molecularly imprinted polymers (MIPs). We discuss the types of nanomaterials used, preparation methods, performance, characteristics, advantages and limitations, and applications of these nanosensors in detecting pesticide residues in agricultural products. Furthermore, we highlight current challenges, ongoing efforts, and future directions in the development of pesticide detection nanosensors.

Indexed as

agricultural productsnanosensorspesticide residue detection

Identifiers

PMID40711253
PMCPMC12298915

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.