Evidence map›Paper›PMID 35539208›Full record

ReviewRSC advances2018

Surface modification and pattern formation by nucleobases and their coordination complexes.

R Kamal Saravanan, Ilesha Avasthi, Rajneesh Kumar Prajapati, Sandeep Verma

Open access · goldAbstract readReview
In one paragraph

Review in RSC advances, 2018. 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
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

R Kamal SaravananDepartment of Chemistry, Indian Institute of Technology Kanpur Kanpur, 208016 UP India sverma@iitk.ac.in.
Ilesha AvasthiDepartment of Chemistry, Indian Institute of Technology Kanpur Kanpur, 208016 UP India sverma@iitk.ac.in.
Rajneesh Kumar PrajapatiDepartment of Chemistry, Indian Institute of Technology Kanpur Kanpur, 208016 UP India sverma@iitk.ac.in.
Sandeep VermaDepartment of Chemistry, Indian Institute of Technology Kanpur Kanpur, 208016 UP India sverma@iitk.ac.in.ORCID https://orcid.org/0000-0002-2478-8109
Chhatrapati Shahu Ji Maharaj University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents recent progress concerning the organization of nucleobases on highly ordered pyrolytic graphite (HOPG), mica, Cu(110) and Au(111) surfaces, followed by their studies using microscopy methods such as atomic force microscopy (AFM), scanning tunneling microscopy (STM) and transmission electron microscopy (TEM). Interesting research prospects related to surface patterning by nucleobases, nucleobase-functionalized carbon nanotubes (CNTs) and metal-nucleobase coordination polymers are also discussed, which offer a wide array of functional molecules for advanced applications. Nucleobases and their analogs are able to invoke non-covalent interactions such as π-π stacking and hydrogen bonding, and possess the required framework to coordinate metal ions, giving rise to fascinating supramolecular architectures. The latter could be transferred to conductive substrates, such as HOPG and gold, for assessment by high-end tunneling microscopy under various conditions. Clear understanding of the principles governing nucleobase self-assembly and metal ion complexation, and precise control over generation of functional architectures, might lead to custom assemblies for targeted nanotechnological and nanomaterial applications.

Identifiers

PMID35539208
PMCPMC9082088
OpenAlexW2833334811

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.