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| Title |
Honey, I shrunk the bubbles: microfluidic vacuum shrinkage of lipid-stabilized microbubbles
|
|---|---|
| Published in |
Soft Matter, January 2017
|
| DOI | 10.1039/c7sm00128b |
| Pubmed ID | |
| Authors |
Vaskar Gnyawali, Byeong-Ui Moon, Jennifer Kieda, Raffi Karshafian, Michael C. Kolios, Scott S. H. Tsai |
| Abstract |
We present a microfluidic technique that shrinks lipid-stabilized microbubbles from O(100) to O(1) μm in diameter - the size that is desirable in applications as ultrasound contrast agents. We achieve microbubble shrinkage by utilizing vacuum channels that are adjacent to the microfluidic flow channels to extract air from the microbubbles. We tune a single parameter, the vacuum pressure, to accurately control the final microbubble size. Finally, we demonstrate that the resulting O(1) μm diameter microbubbles have similar stability to microfluidically generated microbubbles that are not exposed to vacuum shrinkage. We anticipate that, with additional scale-up, this simple approach to shrink microbubbles generated microfluidically will be desirable in ultrasound imaging and therapeutic applications. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 40% |
| United Kingdom | 2 | 20% |
| United States | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Researcher | 6 | 11% |
| Professor > Associate Professor | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 31% |
| Chemistry | 5 | 9% |
| Chemical Engineering | 3 | 6% |
| Physics and Astronomy | 3 | 6% |
| Materials Science | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 17 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 13 August 2019.
All research outputs
#3,276,777
of 22,962,258 outputs
Outputs from Soft Matter
#425
of 8,140 outputs
Outputs of similar age
#69,014
of 421,050 outputs
Outputs of similar age from Soft Matter
#30
of 790 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,140 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 421,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 790 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 96% of its contemporaries.