Evidence map›Paper›PMID 24789468›Full record

ArticleJournal of molecular modeling2014

Adsorption of 2,3,7,8-tetrochlorodibenzo-p-dioxins on intrinsic, defected, and Ti (N, Ag) doped graphene: a DFT study.

Hongping Zhang, Weidong He, Xuegang Luo, Xiaoyan Lin, Xiong Lu

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2014. 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

5 authors.

Hongping ZhangEngineering Research Center of Biomass Materials, Ministry of Education, School of Materials Science and Engineering, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, People's Republic of China, zhp1006@126.com.
Weidong He
Xuegang Luo
Xiaoyan Lin
Xiong Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most hazardous substances in the world, dioxins have received continuous interest in chemistry, materials, and environmental sciences. The rapid detection and capture of carcinogenic 2,3,7,8-tetrochlorodibenzo-p-dioxin (TCDD) are particularly challenging in the fields of materials and environmental sciences. In this study, density functional theory (DFT) method was applied to systematically investigate the interactions between TCDD and different types of graphene samples. The results reveal that the initial configuration of TCDD affects the interactions to a certain extent. As TCDD molecule is parallel to the graphene sheets, the interactions are the largest for all three types of graphene samples (intrinsic, defected and doped). In addition, the "TCDD" capture ability of graphene can be greatly improved by Ti doping. Our study facilitates the rational design of efficient sensors for a variety of applications in environmental science and engineering.

Indexed as

Computer SimulationModels, ChemicalModels, MolecularAdsorptionEnergy TransferEnvironmental PollutantsGraphiteMolecular StructureNitrogenPolychlorinated DibenzodioxinsSilverStatic ElectricityStructure-Activity RelationshipSurface PropertiesTitaniumEnvironmental PollutantsGraphiteNitrogenPolychlorinated DibenzodioxinsSilverTitanium

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.