Evidence map›Paper›PMID 37284330›Full record

ArticleMaterials chemistry and physics2023

Preparation and characterization of intelligent thermochromic fabric coatings for the detection of fever diseases.

Lale Civan, Semra Kurama

Open access · greenAbstract read
In one paragraph

Article in Materials chemistry and physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Lale CivanEskisehir Technical University, Department of Materials Science and Engineering, 26555, Eskisehir, Turkey.
Semra KuramaEskisehir Technical University, Department of Materials Science and Engineering, 26555, Eskisehir, Turkey.
Eskisehir Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time monitoring of changes in skin temperature with smart thermochromic fabrics that act as sensors is extremely important in the early diagnosis of febrile diseases such as the COVID-19 epidemic that endanger public health. In this context, the study aims to detect fever, which is the immune response of the body, as a symptom in the diagnosis of various diseases and to prepare a thermochromic functional fabric by coating method to reduce the risk of contamination. For this purpose, a composition containing green pigment and zinc acetate dihydrate as the starting material was prepared using the sol-gel method. The prepared composition was applied to calico and alpaca fabric, and it was provided to show transformation at 37.5 °C with the effect of the pigment, which had a color change feature at 33 °C. The samples were analyzed using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA) characterization methods. The results showed that it was possible to change the active conversion temperature of the pigment from 33 °C to 37.5 °C, depending on the composition. The use of the compositions developed in this study in alpaca fabric coating provides an area of use as an indicator if the human body temperature reaches 37.5 °C, which is considered the concept of fever.

Indexed as

CoatingFeverSol-gelThermochromic fabric

Identifiers

PMID37284330
PMCPMC10219780
OpenAlexW4378530105

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.