Evidence map›Paper›PMID 38998343›Full record

ArticleMaterials (Basel, Switzerland)2024

Preparation of High-Performance Barium Titanate Composite Hydrogels by Deep Eutectic Solvent-Assisted Frontal Polymerization.

Bin Li, Aolin Wu, Mengjing Zhou, Ying Wang, Zhigang Hu, Lihua Su

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. 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. Review
  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.

Bin LiSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.ORCID 0000-0002-8414-0435
Aolin WuSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.ORCID 0009-0000-1883-6402
Mengjing ZhouSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.ORCID 0000-0001-9790-4070
Ying WangSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Zhigang HuSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Lihua SuSchool of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Funding

2022 Knowledge Innovation Dawn Special Plan Project 2022010801020393
6 · The paper itself

Abstract

This study aimed to develop composite hydrogels with exceptional piezoelectric properties and pressure sensitivity. To achieve the objective, this study created a deep eutectic solvent (DES) by mixing choline chloride (ChCl), acrylamide (AM), and acrylic acid (AA). Barium titanate nanoparticles (BTNPs) were incorporated as fillers into the deep eutectic solvents (DES) to synthesize the composite hydrogels using frontal polymerization (FP). The mechanical and piezoelectric properties of the resulting composite hydrogels were analyzed using Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). This study found that the BTNPs/P(AM-co-AA) composite hydrogels exhibited excellent mechanical and piezoelectric properties. This is attributed to the high dielectric constant of BTNPs and the electrode polarization phenomenon when subjected to pressure. With a BTNPs content of 0.6 wt%, the maximum compressive strength increased by 3.68 times compared with the hydrogel without added BTNPs. Moreover, increasing the BTNPs content to 0.6 wt% resulted in a 1.48 times increase in generated voltage under the same pressure, compared with the hydrogel with only 0.2 wt% BTNPs. This study provides a method for preparing composite hydrogels with outstanding piezoelectric properties and pressure sensitivity.

Indexed as

barium titanate nanoparticlesdeep eutectic solventfrontal polymerizationhydrogelpiezoelectricity

Identifiers

PMID38998343
PMCPMC11242672

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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.