Evidence map›Paper›PMID 32605060›Full record

ArticleMaterials (Basel, Switzerland)2020

Morphological and Mechanical Characterization of DNA SAMs Combining Nanolithography with AFM and Optical Methods.

Giulia Pinto, Paolo Canepa, Claudio Canale, Maurizio Canepa, Ornella Cavalleri

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

7 citing papers in PubMed, 15 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

5 authors at 1 institution in 1 country.

Giulia PintoDepartment of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy.ORCID 0000-0001-7007-6287
Paolo CanepaDepartment of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy.
Claudio CanaleDepartment of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy.ORCID 0000-0002-7582-6849
Maurizio CanepaDepartment of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy.
Ornella CavalleriDepartment of Physics, University of Genova, via Dodecaneso 33, 16146 Genova, Italy.
University of Genoa · IT

Funding

Italian Ministry of Education RBAP11ETKA-005Università degli Studi di Genova FRA
6 · The paper itself

Abstract

The morphological and mechanical properties of thiolated ssDNA films self-assembled at different ionic strength on flat gold surfaces have been investigated using Atomic Force Microscopy (AFM). AFM nanoshaving experiments, performed in hard tapping mode, allowed selectively removing molecules from micro-sized regions. To image the shaved areas, in addition to the soft contact mode, we explored the use of the Quantitative Imaging (QI) mode. QI is a less perturbative imaging mode that allows obtaining quantitative information on both sample topography and mechanical properties. AFM analysis showed that DNA SAMs assembled at high ionic strength are thicker and less deformable than films prepared at low ionic strength. In the case of thicker films, the difference between film and substrate Young's moduli could be assessed from the analysis of QI data. The AFM finding of thicker and denser films was confirmed by X-Ray Photoelectron Spectroscopy (XPS) and Spectroscopic Ellipsometry (SE) analysis. SE data allowed detecting the DNA UV absorption on dense monomolecular films. Moreover, feeding the SE analysis with the thickness data obtained by AFM, we could estimate the refractive index of dense DNA films.

Indexed as

AFMDNAionic strengthmolecular absorptionself-assembled monolayersSpectroscopic Ellipsometry

Identifiers

PMID32605060
PMCPMC7372444
OpenAlexW3037082629

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.