Evidence map›Paper›PMID 36142665›Full record

ArticleInternational journal of molecular sciences2022

β-Cyclodextrin-Based Supramolecular Imprinted Fiber Array for Highly Selective Detection of Parabens.

Zhimin Liu, Qingqing Zhou, Dan Wang, Yunli Duan, Xuehua Zhang, Yi Yang, Zhigang Xu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Zhimin LiuDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Qingqing ZhouDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Dan WangDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Yunli DuanDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Xuehua ZhangDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Yi YangDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.
Zhigang XuDepartment of Chemistry, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China.ORCID 0000-0002-9308-3866

Funding

National Natural Science Foundation of China 21565018
6 · The paper itself

Abstract

A novel high-throughput array analytical platform based on derived β-cyclodextrin supramolecular imprinted polymer (SMIP) fibers was constructed to achieve selective enrichment and removal of parabens. SMIP fiber arrays have abundant imprinting sites and introduce the host−guest inclusion effect of the derived β-cyclodextrin, which is beneficial to significantly improve the adsorption ability of fiber for parabens. Upon combination with HPLC, a specific and sensitive recognition method was developed with a low limit of detection (0.003−0.02 µg/L, S/N = 3) for parabens analysis in environmental water. This method has a good linearity (R > 0.9994) in the linear range of 0.01−200 µg/L. The proposed SMIP fiber array with high-throughput adsorption capacity has great potential in monitoring water pollution, which also provides a reliable reference for the analysis of more categories of pharmaceutical and personal care product pollutants.

Indexed as

beta-CyclodextrinsCosmeticsEnvironmental PollutantsMolecular ImprintingAdsorptionChromatography, High Pressure LiquidParabensPharmaceutical PreparationsPolymersWaterbeta-CyclodextrinsCosmeticsEnvironmental PollutantsParabensPharmaceutical PreparationsPolymersWaterfiber array extractionmolecular imprintingparabenssupramoleculeβ-cyclodextrin

Identifiers

PMID36142665
PMCPMC9500753

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Registered trials

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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.