Evidence map›Paper›PMID 41250970›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Enhanced Recognition via Defect Engineered Amorphous Metal-Organic Framework for Sensitive and Stable Pesticide Biosensor.

Changshun Su, Xiangyu Zhai, Meng Zhang, Mengxue Li, Xinru Zhang, Chunyan Sun, Xu Yan, Hongxia Li

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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. Review
  2. 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

8 authors.

Changshun SuDepartment of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun, 130062, P. R. China.
Xiangyu ZhaiDepartment of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun, 130062, P. R. China.
Meng ZhangDepartment of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun, 130062, P. R. China.
Mengxue LiState Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun, 130012, P. R. China.
Xinru ZhangDepartment of Pharmacy, The Second Hospital of Jilin University, Changchun, 130062, P. R. China.
Chunyan SunDepartment of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun, 130062, P. R. China.
Xu YanState Key Laboratory on Integrated Optoelectronics, Key Laboratory of Advanced Gas Sensors of Jilin Province, College of Electronic Science & Engineering, Jilin University, Changchun, 130012, P. R. China.ORCID https://orcid.org/0000-0003-2152-675X
Hongxia LiDepartment of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun, 130062, P. R. China.ORCID https://orcid.org/0000-0002-7513-3292

Funding

National Natural Science Foundation of China 62371204National Natural Science Foundation of China T2522015Natural Science Foundation of Jilin Province 20250203073SFThe Jilin University Outstanding Young Scholars Cultivation Program.The Special Project for Organized Research of Jilin University
6 · The paper itself

Abstract

Enzyme-based biosensors with rapid and on-site detection capabilities possess great potential for practical application. However, conventional enzyme immobilization strategies often enhance stability at the expense of substantial enzyme activity loss, thereby limiting the detection performance of enzyme-based biosensors. Herein, a highly sensitive and robust biosensor is constructed based on defect-engineered amorphous metal-organic frameworks, enabling on-site detection of organophosphate pesticides in complex food matrices. Defective acetylcholinesterase@amorphous metal-organic frameworks (denoted as AChE@AMOF-74) can be in situ tailored via a defect-engineered strategy to provide a suitable microenvironment and obtain high porosity for enzyme encapsulation, while its porous architecture enhances the catalytic activity of immobilized enzyme. Impressively, the catalysis activity and target recognition ability of AChE@AMOF-74 are 3.4-fold and 5.6-fold higher than those of nanoarchitectures with a regular crystalline structure. Benefiting from the structural advantages, a robust AChE@AMOF-74-based biosensor is constructed for the sensitive detection of pesticides, enabling quantitative analysis of paraoxon with a detection limit of 0.05 ng·mL

Indexed as

Biosensing TechniquesMetal-Organic FrameworksPesticidesAcetylcholinesteraseEnzymes, ImmobilizedLimit of DetectionParaoxonAcetylcholinesteraseEnzymes, ImmobilizedMetal-Organic FrameworksParaoxonPesticidesamorphous MOFbiosensorsenzymeon‐sitepesticide detection

Identifiers

PMID41250970
PMCPMC12866820

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Registered trials

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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.