Evidence map›Paper›PMID 32692539›Full record

ArticleACS nano2020

Exploiting the Surface Properties of Graphene for Polymorph Selectivity.

Matthew Boyes, Adriana Alieva, Jincheng Tong, Vaiva Nagyte, Manuel Melle-Franco, Thomas Vetter, Cinzia Casiraghi

Open access · hybridAbstract read
In one paragraph

Article in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Matthew BoyesDepartment of Chemistry, University of Manchester, Manchester M13 9PL, United Kingdom.ORCID http://orcid.org/0000-0002-9489-6092
Adriana AlievaDepartment of Chemistry, University of Manchester, Manchester M13 9PL, United Kingdom.
Jincheng TongDepartment of Chemistry, University of Manchester, Manchester M13 9PL, United Kingdom.ORCID http://orcid.org/0000-0001-7762-1460
Vaiva NagyteDepartment of Chemistry, University of Manchester, Manchester M13 9PL, United Kingdom.ORCID http://orcid.org/0000-0003-0835-6039
Manuel Melle-FrancoCICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro 3810-193, Portugal.
Thomas VetterDepartment of Chemical Engineering and Analytical Science, University of Manchester, Manchester M13 9PL, United Kingdom.
Cinzia CasiraghiDepartment of Chemistry, University of Manchester, Manchester M13 9PL, United Kingdom.ORCID http://orcid.org/0000-0001-7185-0377
University of Manchester · GBUniversity of Aveiro · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Producing crystals of the desired form (polymorph) is currently a challenge as nucleation is yet to be fully understood. Templated crystallization is an efficient approach to achieve polymorph selectivity; however, it is still unclear how to design the template to achieve selective crystallization of specific polymorphs. More insights into the nanoscale interactions happening during nucleation are needed. In this work, we investigate crystallization of glycine using graphene, with different surface chemistry, as a template. We show that graphene induces the preferential crystallization of the metastable α-polymorph compared to the unstable β-form at the contact region of an evaporating droplet. Computer modeling indicates the presence of a small amount of oxidized moieties on graphene to be responsible for the increased stabilization of the α-form. In conclusion, our work shows that graphene could become an attractive material for polymorph selectivity and screening by exploiting its tunable surface chemistry.

Indexed as

computational modelingcrystallizationglycinegraphenepolymorphismsurface chemistry

Identifiers

PMID32692539
PMCPMC7605719
OpenAlexW3045123700

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.