Evidence map›Paper›PMID 41149564›Full record

ArticleNanomaterials (Basel, Switzerland)2025

Unique Design of Functionalized Covalent Organic Frameworks for Highly Selective Removal of Cyano-Neonicotinoids.

Yan Yang, Shuojie Wang, Wenxin Mai, Shiyu Wei, Guixiang Teng, Peng Pu, Jiaxing Zhao, Yongqiang Tian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (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.

Yan YangSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.ORCID 0000-0002-3979-7438
Shuojie WangSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Wenxin MaiSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Shiyu WeiSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Guixiang TengSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Peng PuSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.ORCID 0000-0001-6960-3836
Jiaxing ZhaoSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Yongqiang TianSchool of Biological and Pharmaceutical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Funding

Gansu Major Science and Technology Project 24ZD17F003Gansu Provincial Education Department Innovation Fund Project 2024A-042National Natural Science Foundation of China 32460620Science and Technology Program of Gansu Province 24JRRA261 and 25CXGA029the Innovation Project for Lanzhou Young Science and Technology Talents 2024-QN-47
6 · The paper itself

Abstract

Acetamiprid (ACE) and thiacloprid (THIA) are the dominant cyano-substituted neonicotinoids detected in fruit juices and bottled water, which raises food-safety concerns and regulatory scrutiny. Conventional purification with activated carbon or advanced oxidation shows limited selectivity and has a high energy demand. Covalent organic frameworks (COFs) offer tunable chemistry for targeted adsorption, yet no strategy exists to engineer COF sites that preferentially recognize the cyano group of ACE/THIA. Here, we synthesized a magnetic core-shell adsorbent, Fe

Indexed as

adsorption mechanismAu nanoparticlescovalent organic frameworksfood safetyneonicotinoidselective removal

Identifiers

PMID41149564
PMCPMC12566725

What OpenQuestion holds

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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.