Evidence map›Paper›PMID 27911778›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Enhanced stochastic fluctuations to measure steep adhesive energy landscapes.

Ahmad Haider, Daniel Potter, Todd A Sulchek

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

3 authors.

Ahmad HaiderWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332.
Daniel PotterWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332.
Todd A SulchekWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332; todd.sulchek@me.gatech.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Free-energy landscapes govern the behavior of all interactions in the presence of thermal fluctuations in the fields of physical chemistry, materials sciences, and the biological sciences. From the energy landscape, critical information about an interaction, such as the reaction kinetic rates, bond lifetimes, and the presence of intermediate states, can be determined. Despite the importance of energy landscapes to understanding reaction mechanisms, most experiments do not directly measure energy landscapes, particularly for interactions with steep force gradients that lead to premature jump to contact of the probe and insufficient sampling of transition regions. Here we present an atomic force microscopy (AFM) approach for measuring energy landscapes that increases sampling of strongly adhesive interactions by using white-noise excitation to enhance the cantilever's thermal fluctuations. The enhanced fluctuations enable the recording of subtle deviations from a harmonic potential to accurately reconstruct interfacial energy landscapes with steep gradients. Comparing the measured energy landscape with adhesive force measurements reveals the existence of an optimal excitation voltage that enables the cantilever fluctuations to fully sample the shape and depth of the energy surface.

Indexed as

atomic force microscopydynamic force spectroscopyenergy landscapeinterfacial energystochastic excitation

Identifiers

PMID27911778
PMCPMC5167171

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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.