Evidence map›Paper›PMID 35478533›Full record

ArticleRSC advances2021

Highly sensitive and selective detection of naproxen

Ke Li, Min Zhang, Xingyu Ye, Yongming Zhang, Guisheng Li, Rui Fu, Xiaofeng Chen

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Buttressing ligand-binding pockets in de novo designed NTF2-like domains.Protein science : a publication of the Protein Society · 2025
    Article
  3. Review
  4. Article
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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 at 2 institutions in 2 countries.

Ke LiSchool of Environmental and Geographical Sciences, Shanghai Normal University Shanghai 200234 China xiaofengchen@shnu.edu.cn.
Min ZhangSchool of Environmental and Geographical Sciences, Shanghai Normal University Shanghai 200234 China xiaofengchen@shnu.edu.cn.
Xingyu YeEducation Ministry Key and International Joint Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University Shanghai 200234 China.
Yongming ZhangSchool of Environmental and Geographical Sciences, Shanghai Normal University Shanghai 200234 China xiaofengchen@shnu.edu.cn.
Guisheng LiSchool of Environmental and Geographical Sciences, Shanghai Normal University Shanghai 200234 China xiaofengchen@shnu.edu.cn.
Rui FuRNA Bioscience Initiative, University of Colorado School of Medicine Aurora CO 80045 USA.
Xiaofeng ChenSchool of Environmental and Geographical Sciences, Shanghai Normal University Shanghai 200234 China xiaofengchen@shnu.edu.cn.ORCID https://orcid.org/0000-0002-5399-9781
Shanghai Normal University · CNUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overuse and inappropriate discharge of naproxen, a common anti-inflammatory medication and an emerging contaminant in water, is detrimental to human health and bodies of water. Here, we design a fluorescent sensor based on molecularly imprinted carbon dots (CDs) for highly selective detection of trace amounts of naproxen. The CDs were encapsulated into the pores of silica through a sol-gel based method and provide fluorescent signal. After removal of the template molecules, a molecularly imprinted polymer layer was formed and the fluorescence of the CDs sensor was selectively quenched by naproxen. A detection limit of as low as 0.03 μM and a linear range of 0.05-4 μM for detecting naproxen in aqueous solution were obtained. High recoveries of naproxen levels in waste water and urine samples for practical application were also achieved. In addition, the accurate detection performance of sensor was maintained during the UV degradation of naproxen.

Identifiers

PMID35478533
PMCPMC9038106
OpenAlexW3198863997

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.