Evidence map›Paper›PMID 32150845›Full record

ArticlePolymers2020

Hairy Fluorescent Nanospheres Based on Polyelectrolyte Brush for Highly Sensitive Determination of Cu(II).

Qiaoling Wang, Kaimin Chen, Yi Qu, Kai Li, Ying Zhang, Enyu Fu

Abstract read
In one paragraph

Article in Polymers, 2020. 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. 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

6 authors.

Qiaoling WangCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Kaimin ChenCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.ORCID 0000-0002-1238-7340
Yi QuCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Kai LiCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
Ying ZhangSchool of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China.
Enyu FuCollege of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.

Funding

National Natural Science Foundation of China 21504052 and 2140406868
6 · The paper itself

Abstract

Currently, it is an ongoing challenge to develop fluorescent nanosphere detectors that are uniform, non-toxic, stable and bearing a large number of functional groups on the surface for further applications in a variety of fields. Here, we have synthesized hairy nanospheres (HNs) with different particle sizes and a content range of carboxyl groups from 4 mmol/g to 9 mmol/g. Based on this, hairy fluorescent nanospheres (HFNs) were prepared by the traditional coupling method (TCM) or adsorption-induced coupling method (ACM). By comparison, it was found that high brightness HFNs are fabricated based on HNs with poly (acrylic acid) brushes on the surface via ACM. The fluorescence intensity of hairy fluorescent nanospheres could be controlled by tuning the content of 5-aminofluorescein (5-AF) or the carboxyl groups of HNs easily. The carboxyl content of the HFNs could be as high as 8 mmol/g for further applications. The obtained HFNs are used for the detection of heavy metal ions in environmental pollution. Among various other metal ions, the response to Cu (II) is more obvious. We demonstrated that HFNs can serve as a selective probe and for the separation and determination of Cu(II) ions with a linear range of 0-0.5 μM and a low detection limit of 64 nM.

Indexed as

5-aminofluoresceincopper ion detectorcouplingfluorescent nanosphere

Identifiers

PMID32150845
PMCPMC7182828

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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.