Evidence map›Paper›PMID 33409576›Full record

ArticleJournal of molecular modeling2021

Polythiophene derivatives as chemical sensors: a DFT study on the influence of side groups.

Bruno Hori Barboza, Orisson Ponce Gomes, Augusto Batagin-Neto

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2021. 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. Article
  2. 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

3 authors.

Bruno Hori BarbozaDepartment of Physics, School of Sciences, São Paulo State University (UNESP), Bauru, SP, 17033-360, Brazil.ORCID http://orcid.org/0000-0002-1034-7564
Orisson Ponce GomesSchool of Sciences, POSMAT, São Paulo State University (UNESP), Bauru, SP, 17033-360, Brazil.ORCID http://orcid.org/0000-0002-0035-8489
Augusto Batagin-NetoCampus of Itapeva, São Paulo State University (UNESP), Itapeva, SP, 18409-010, Brazil. a.batagin@unesp.br.ORCID http://orcid.org/0000-0003-4609-9002

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 420449/2018-3Conselho Nacional de Desenvolvimento Científico e Tecnológico 448310/2014-7Fundação de Amparo à Pesquisa do Estado de São Paulo (BR) 2019/09431-0
6 · The paper itself

Abstract

Conjugated polymers have been considered promising candidates for applications in chemical sensors, mainly due to their high versatility of synthesis, low cost, light weight, and suitable optoelectronic properties. In this context, polythiophene (PT) derivatives have been successfully employed. However, at the same time that the versatility of the synthesis allows the production of varied derivatives, the complexity of interactions with analytes hinders an efficient design of compounds with improved sensing properties. In the present report, electronic structure calculations were employed to identify promising PT derivatives for chemical sensor applications. Structural, optoelectronic, and reactivity properties of a set of branched PT derivatives were evaluated. Adsorption studies considering different gaseous compounds were conducted for selected systems. The results suggest that an appropriate choice of the side groups can lead to derivatives with improved sensorial properties. In particular, PT-CN derivative was identified as the most promising compound for high sensitive chemical sensors towards SO

Indexed as

AdsorptionComputational ChemistryMolecular StructurePolymersThiophenesPolymerspolythiopheneThiophenesChemical sensorsDensity functional theoryElectronic structure calculationFukui indexesPolythiophene derivatives

Identifiers

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.