Evidence map›Paper›PMID 40219335›Full record

ArticlePolymers2025

Highly Sensitive Oxytetracycline Detection Using QCM and Molecularly Imprinted Polymers with Deep Eutectic Solvents.

Cheng Chen, Liling Wang, Lin Xu, Houjun Wang, Peng Ye, Shuang Liao, Feng Tan

Abstract read
In one paragraph

Article in Polymers, 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

7 authors.

Cheng ChenSchool of Automation Engineering, University of Electronic Science and Technology of China (UESTC), No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China.ORCID 0000-0003-0177-0982
Liling WangSchool of Automation Engineering, University of Electronic Science and Technology of China (UESTC), No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China.
Lin XuSchool of Automation Engineering, University of Electronic Science and Technology of China (UESTC), No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China.
Houjun WangShenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China.
Peng YeShenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China.
Shuang LiaoShenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518110, China.
Feng TanSchool of Automation Engineering, University of Electronic Science and Technology of China (UESTC), No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China.

Funding

National Natural Science Foundation of China 62271109
6 · The paper itself

Abstract

This study presents an efficient method for detecting oxytetracycline, which is critical in environmental monitoring and food safety. A highly sensitive detection platform was developed by combining molecularly imprinted polymers (MIPs) with silica as a carrier, modified with deep eutectic solvents (DES), and a quartz crystal microbalance (QCM) sensor. The MIPs were specifically designed to target oxytetracycline hydrochloride, using SiO

Indexed as

antibioticsbiosensorsdeep eutectic solventsmolecularly imprinted polymerquartz crystal microbalance

Identifiers

PMID40219335
PMCPMC11991387

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.