Evidence map›Paper›PMID 19086887›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2009

Effect of monomer structure and solvent on the growth of supramolecular nanoassemblies on a graphite surface.

Aryavarta M S Kumar, Justin D Fox, Lauren E Buerkle, Roger E Marchant, Stuart J Rowan

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2009. 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. 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.

Aryavarta M S KumarDepartment of Biomedical Engineering, Department of Macromolecular Science and Engineering, Case Western Reserve University, Cleveland, Ohio 44106, USA.
Justin D Fox
Lauren E Buerkle
Roger E Marchant
Stuart J Rowan

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
NEW BIOMEDICAL INTERFACE MATERIALSR01EB002067 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI MARCHANT, ROGER E · 2003 to 2007
$1.6M
Self-Assembled Bis-PNA Monomers As New BiomaterialsR21EB001466 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI ROWAN, STUART J · 2003 to 2004
$446k
NIBIB NIH HHS EB-001466NIBIB NIH HHS EB-002067NIBIB NIH HHS R01 EB002067NIBIB NIH HHS R21 EB001466NIGMS NIH HHS T32 GM007250NIGMS NIH HHS T32 GM07250
6 · The paper itself

Abstract

The self-assembly of high aspect ratio hierarchical surface assemblies, as observed by fluid tapping mode AFM, can be achieved through careful design of the supramolecular interactions between low-molecular-weight adsorbates. Needlelike assemblies of monotopic guanine end-capped alkanes grow on a graphite surface when deposited from a water/DMSO solution. The growth of these assemblies can be monitored by AFM in real time, and the growth rate along the two different axes can be understood (through molecular modeling) in terms of the specific adsorbate-adsorbate interactions along those axes. Additionally, through judicious solvent selection (e.g., use of non-H-bonding solvents such as o-dichlorobenzene), which allows the formation of hydrogen-bonding aggregates in solution and influences the surface-adsorbate interactions, dramatically different surface assemblies of these guanine derivatives are obtained.

Indexed as

AlkanesGraphiteGuanineHydrogen BondingMacromolecular SubstancesMicroscopy, Atomic ForceModels, MolecularMolecular StructureNanostructuresParticle SizeSolventsSurface PropertiesAlkanesGraphiteGuanineMacromolecular SubstancesSolvents

Identifiers

PMID19086887
PMCPMC2635022

What OpenQuestion holds

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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.