Evidence map›Paper›PMID 36136158›Full record

ArticleMikrochimica acta2022

A dual-recognition MIP-ECL sensor based on boric acid functional carbon dots for detection of dopamine.

Tianxin Zhang, Dan Long, Xiongwen Gu, Minli Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2022. 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. Preparation and Sensing Study ofMolecules (Basel, Switzerland) · 2025
    Article
  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

4 authors.

Tianxin ZhangCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China.
Dan LongCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China.
Xiongwen GuCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China.
Minli YangCollege of Chemistry and Materials Science, Shanghai Normal University, Shanghai, 200234, China. yml_nx@shnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a molecularly imprinted polymer electrochemiluminescence (MIP-ECL) sensor with dual recognition effects on dopamine (DA). Boric-acid-functionalized carbon dots (B-CDs) with good ECL performance at - 2.0 V (vs. Ag/AgCl) were prepared and immobilized on a glassy carbon electrode (GCE). The MIP was then introduced via electropolymerization using o-phenylenediamine (OPD) as a functional monomer and DA as a template molecule to fabricate the MIP-ECL sensor. The cavities in the MIP after elution were used to capture the target molecular DA. The affinity of boric acid of B-CDs to the cis-diol of DA, as well as the special recognition of MIP, provides dual recognition effects on DA. The selective readsorption of DA onto the sensor leads to the ECL quenching of B-CDs. The quenching effect was used to detect DA from 1.0 × 10

Indexed as

Molecular ImprintingBoric AcidsCarbonDopamineElectrochemical TechniquesMolecularly Imprinted Polymersboric acidBoric AcidsCarbonDopamineMolecularly Imprinted PolymersBoric acid-functionalized carbon dots (B-CDs)Dopamine (DA)Dual recognition effectECL quenchingMIP-ECL sensorModified glassy carbon electrode

Identifiers

PMID36136158

What OpenQuestion holds

Textmetadata
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.