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Nanomechanical characterization of chemical interaction between gold nanoparticles and chemical functional groups

Overview of attention for article published in Discover Nano, October 2012
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40 Mendeley
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Title
Nanomechanical characterization of chemical interaction between gold nanoparticles and chemical functional groups
Published in
Discover Nano, October 2012
DOI 10.1186/1556-276x-7-608
Pubmed ID
Authors

Gyudo Lee, Hyungbeen Lee, Kihwan Nam, Jae-Hee Han, Jaemoon Yang, Sang Woo Lee, Dae Sung Yoon, Kilho Eom, Taeyun Kwon

Abstract

We report on how to quantify the binding affinity between a nanoparticle and chemical functional group using various experimental methods such as cantilever assay, PeakForce quantitative nanomechanical property mapping, and lateral force microscopy. For the immobilization of Au nanoparticles (AuNPs) onto a microscale silicon substrate, we have considered two different chemical functional molecules of amine and catecholamine (here, dopamine was used). It is found that catecholamine-modified surface is more effective for the functionalization of AuNPs onto the surface than the amine-modified surface, which has been shown from our various experiments. The dimensionless parameter (i.e., ratio of binding affinity) introduced in this work from such experiments is useful in quantitatively depicting such binding affinity, indicating that the binding affinity and stability between AuNPs and catecholamine is approximately 1.5 times stronger than that between amine and AuNPs. Our study sheds light on the experiment-based quantitative characterization of the binding affinity between nanomaterial and chemical groups, which will eventually provide an insight into how to effectively design the functional material using chemical groups.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 33%
Researcher 11 28%
Student > Master 4 10%
Other 3 8%
Student > Bachelor 2 5%
Other 2 5%
Unknown 5 13%
Readers by discipline Count As %
Chemistry 8 20%
Materials Science 8 20%
Physics and Astronomy 5 13%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 6 15%
Unknown 8 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 October 2012.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#181,506
of 202,326 outputs
Outputs of similar age from Discover Nano
#11
of 85 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 202,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.