↓ Skip to main content

pH-Switchable Stratification of Colloidal Coatings: Surfaces “On Demand”

Overview of attention for article published in ACS Applied Materials & Interfaces, December 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
4 X users
patent
2 patents

Readers on

mendeley
71 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
pH-Switchable Stratification of Colloidal Coatings: Surfaces “On Demand”
Published in
ACS Applied Materials & Interfaces, December 2016
DOI 10.1021/acsami.6b12015
Pubmed ID
Authors
Abstract

Stratified coatings are used to provide properties at a surface, such as hardness or refractive index, which are different from underlying layers. Although time-savings are offered by self-assembly approaches, there have been no methods yet reported to offer stratification on demand. Here, we demonstrate a strategy to create self-assembled stratified coatings, which can be switched to homogeneous structures when required. We use blends of large and small colloidal polymer particle dispersions in water that self-assemble during drying because of an osmotic pressure gradient that leads to a downward velocity of larger particles. Our confocal fluorescent microscopy images reveal a distinct surface layer created by the small particles. When the pH of the initial dispersion is raised, the hydrophilic shells of the small particles swell substantially, and the stratification is switched off. Brownian dynamics simulations explain the suppression of stratification when the small particles are swollen as a result of reduced particle mobility, a drop in the pressure gradient, and less time available before particle jamming. Our strategy paves the way for applications in antireflection films and protective coatings in which the required surface composition can be achieved on demand, simply by adjusting the pH prior to deposition.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Finland 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Student > Master 8 11%
Student > Doctoral Student 7 10%
Researcher 7 10%
Student > Bachelor 6 8%
Other 1 1%
Unknown 23 32%
Readers by discipline
Readers by discipline Count As %
Materials Science 15 21%
Chemistry 13 18%
Engineering 8 11%
Chemical Engineering 6 8%
Physics and Astronomy 4 6%
Other 1 1%
Unknown 24 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 July 2024.
All research outputs
#6,285,317
of 24,493,053 outputs
Outputs from ACS Applied Materials & Interfaces
#3,286
of 19,186 outputs
Outputs of similar age
#108,116
of 428,751 outputs
Outputs of similar age from ACS Applied Materials & Interfaces
#72
of 288 outputs
Altmetric has tracked 24,493,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 19,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 82% of its peers.
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 428,751 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 288 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.