Colorimetric Sensors Based on Poly(acrylic Acid)/TiO

Sabina Botti, Francesca Bonfigli, Rosaria D'Amato, Jasmine Rodesi, Maria Gabriella Santonicola

Open access · goldAbstract read

In one paragraph

Article in Gels (Basel, Switzerland), 2023. 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

0.9field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

Poly(Acrylic Acid)/TiOMolecules (Basel, Switzerland) · 2024
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

5 authors at 2 institutions in 1 country.

Sabina BottiFusion and Technologies for Nuclear Safety and Security Department, Photonics Micro- and Nano-Structures Laboratory, ENEA C.R. Frascati, Via E. Fermi 45, 00044 Frascati, Italy.ORCID 0000-0001-9564-4172

Francesca BonfigliFusion and Technologies for Nuclear Safety and Security Department, Photonics Micro- and Nano-Structures Laboratory, ENEA C.R. Frascati, Via E. Fermi 45, 00044 Frascati, Italy.ORCID 0000-0002-0283-9737

Rosaria D'AmatoFusion and Technologies for Nuclear Safety and Security Department, Photonics Micro- and Nano-Structures Laboratory, ENEA C.R. Frascati, Via E. Fermi 45, 00044 Frascati, Italy.ORCID 0000-0003-2200-8145

Jasmine RodesiDepartment of Chemical Engineering Materials Environment, Sapienza University of Rome, Via del Castro Laurenziano 7, 00161 Rome, Italy.

Maria Gabriella SantonicolaDepartment of Chemical Engineering Materials Environment, Sapienza University of Rome, Via del Castro Laurenziano 7, 00161 Rome, Italy.ORCID 0000-0002-2736-8580

National Agency for New Technologies, Energy and Sustainable Economic Development · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there has been an open debate on proper sun exposure to reduce the risk of developing skin cancer. The mainly encountered issue is that general guidelines for UV radiation exposure could not be effective for all skin types. The implementation of customized guidelines requires a method by which to measure the UV dose as a result of daily exposure to sunlight, ideally with an inexpensive, easy-to-read sensor. In this work, we present the characterization of nanocomposite hydrogel materials acting as colorimetric sensors upon exposure to UV light. The sensor was prepared using a poly(acrylic acid) (PAA) hydrogel matrix in which TiO

Indexed as

colorimetric sensornanocompositePAA hydrogelUV radiation exposure

Identifiers

PMID37888370

DOI10.3390/gels9100797

PMCPMC10606633

OpenAlexW4387344496

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.