Evidence map›Paper›PMID 33996004›Full record

ArticleChemical science2021

Molecularly-tunable nanoelectrode arrays created by harnessing intermolecular interactions.

Han-Wen Cheng, Shan Wang, Marc D Porter, Chuan-Jian Zhong

Abstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Han-Wen ChengSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology Shanghai 201418 China hwcheng@sit.edu.cn.ORCID https://orcid.org/0000-0002-9630-4281
Shan WangDepartment of Chemistry, State University of New York at Binghamton Binghamton New York 13902 USA cjzhong@binghamton.edu.ORCID https://orcid.org/0000-0002-5282-3039
Marc D PorterDepartment of Chemistry and Chemical Engineering, University of Utah Salt Lake City Utah 84112 USA marc.porter@utah.edu.ORCID https://orcid.org/0000-0002-9046-5789
Chuan-Jian ZhongDepartment of Chemistry, State University of New York at Binghamton Binghamton New York 13902 USA cjzhong@binghamton.edu.ORCID https://orcid.org/0000-0003-0746-250X

Funding

Magnetoresistive Sensor Platform for Parallel Cancer Marker DetectionU01CA151650 · NCI · UNIVERSITY OF UTAH · PI MULVIHILL, SEAN J, PORTER, MARC D · 2010 to 2014
$2.1M
NCI NIH HHS U01 CA151650
6 · The paper itself

Abstract

Intermolecular interactions play a critical role in the binding strength of molecular assemblies on surfaces. The ability to harness them enables molecularly-tunable interfacial structures and properties. Herein we report the tuning of the intermolecular interactions in monolayer assemblies derived from organothiols of different structures for the creation of nanoelectrode arrays or ensembles with effective mass transport by a molecular-level perforation strategy. The homo- and hetero-intermolecular interactions can be fully controlled, which is demonstrated not only by thermodynamic analysis of the fractional coverage but also by surface infrared reflection absorption and X-ray photoelectron spectroscopic characterizations. This understanding enables controllable electrochemical perforation for the creation of ensembles or arrays of channels across the monolayer thickness with molecular and nanoscale dimensions. Redox reactions on the nanoelectrode array display molecular tunability with a radial diffusion characteristic in good agreement with theoretical simulation results. These findings have implications for designing membrane-type ion-gating, electrochemical sensing, and electrochemical energy storage devices with molecular level tunability.

Identifiers

PMID33996004
PMCPMC8098684

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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.