Evidence map›Paper›PMID 35423232›Full record

ArticleRSC advances2021

A simple approach to prepare fluorescent molecularly imprinted nanoparticles.

Fenying Wang, Dan Wang, Tingting Wang, Yu Jin, Baoping Ling, Qianjin Li, Jianlin Li

Abstract 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
–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

6 citing papers in PubMed.

  1. Article
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  4. Review
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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.

Fenying WangCollege of Chemistry, Nanchang University Nanchang Jiangxi 330031 China wangfenying@ncu.edu.cn.
Dan WangCollege of Chemistry, Nanchang University Nanchang Jiangxi 330031 China wangfenying@ncu.edu.cn.
Tingting WangDepartment of Food Science and Engineering, School of Food Science and Pharmaceutical Engineering, Nanjing Normal University Nanjing 210023 China.
Yu JinDepartment of Food Science and Engineering, School of Food Science and Pharmaceutical Engineering, Nanjing Normal University Nanjing 210023 China.
Baoping LingSchool of Chemistry and Chemical Engineering, Qufu Normal University Qufu Shandong 273165 China.ORCID https://orcid.org/0000-0001-5033-3514
Qianjin LiDepartment of Food Science and Engineering, School of Food Science and Pharmaceutical Engineering, Nanjing Normal University Nanjing 210023 China.ORCID https://orcid.org/0000-0002-6498-7284
Jianlin LiDepartment of Food Science and Engineering, School of Food Science and Pharmaceutical Engineering, Nanjing Normal University Nanjing 210023 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescent molecularly imprinted polymers (FMIPs) are gaining increasing attention in analytical and medical sciences, particularly silica-based FMIPs due to their low cost, environmentally friendly nature and good biocompatibility. However, at present, silica-based FMIPs are usually prepared through several steps and displayed low selectivity. Here, a simple approach was utilized for preparing silica-based FMIP nanoparticles. The polymerization was initiated by 3-aminopropyltriethoxysilane (APTES), which also acted as the functional monomer in the imprinting system; in addition, to achieve one-pot synthesis, a fluorescent monomer was prepared by a simple reaction between fluorescein isothiocyanate (FITC) and APTES. The as-synthesized FMIP nanoparticles displayed high specificity and fast response time (<1 min) towards the target molecule. Environmental pH and buffer salt could affect the specific recognition behaviors of the FMIP nanoparticles. Such a simple catalyst-free synthetic technique could also be employed for the preparation of FMIP nanoparticles targeting other acidic molecules.

Identifiers

PMID35423232
PMCPMC8694954

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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.