↓ Skip to main content

Enriching Nanoparticles via Acoustofluidics

Overview of attention for article published in ACS Nano, January 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
9 news outlets
blogs
2 blogs
twitter
4 X users
patent
2 patents
video
1 YouTube creator

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
162 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.
Title
Enriching Nanoparticles via Acoustofluidics
Published in
ACS Nano, January 2017
DOI 10.1021/acsnano.6b06784
Pubmed ID
Authors

Zhangming Mao, Peng Li, Mengxi Wu, Hunter Bachman, Nicolas Mesyngier, Xiasheng Guo, Sheng Liu, Francesco Costanzo, Tony Jun Huang

Abstract

Focusing and enriching submicrometer and nanometer scale objects is of great importance for many applications in biology, chemistry, engineering, and medicine. Here, we present an acoustofluidic chip that can generate single vortex acoustic streaming inside a glass capillary through using low-power acoustic waves (only 5 V is required). The single vortex acoustic streaming that is generated, in conjunction with the acoustic radiation force, is able to enrich submicrometer- and nanometer-sized particles in a small volume. Numerical simulations were used to elucidate the mechanism of the single vortex formation and were verified experimentally, demonstrating the focusing of silica and polystyrene particles ranging in diameter from 80 to 500 nm. Moreover, the acoustofluidic chip was used to conduct an immunoassay in which nanoparticles that captured fluorescently labeled biomarkers were concentrated to enhance the emitted signal. With its advantages in simplicity, functionality, and power consumption, the acoustofluidic chip we present here is promising for many point-of-care applications.

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 161 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 31%
Researcher 13 8%
Student > Master 13 8%
Student > Bachelor 7 4%
Student > Doctoral Student 6 4%
Other 13 8%
Unknown 59 36%
Readers by discipline Count As %
Engineering 50 31%
Materials Science 12 7%
Biochemistry, Genetics and Molecular Biology 6 4%
Physics and Astronomy 6 4%
Chemistry 6 4%
Other 21 13%
Unknown 61 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 10 November 2022.
All research outputs
#483,178
of 24,784,213 outputs
Outputs from ACS Nano
#469
of 14,433 outputs
Outputs of similar age
#10,696
of 431,769 outputs
Outputs of similar age from ACS Nano
#20
of 215 outputs
Altmetric has tracked 24,784,213 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,433 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has done particularly well, scoring higher than 96% 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 431,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.