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Augmenting regional and targeted delivery in the pulmonary acinus using magnetic particles

Overview of attention for article published in International Journal of Nanomedicine, July 2016
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14 Mendeley
Title
Augmenting regional and targeted delivery in the pulmonary acinus using magnetic particles
Published in
International Journal of Nanomedicine, July 2016
DOI 10.2147/ijn.s102138
Pubmed ID
Authors

Josué Sznitman, Ostrovski, Philipp Hofemeier

Abstract

It has been hypothesized that by coupling magnetic particles to inhaled therapeutics, the ability to target specific lung regions (eg, only acinar deposition), or even more so specific points in the lung (eg, tumor targeting), can be substantially improved. Although this method has been proven feasible in seminal in vivo studies, there is still a wide gap in our basic understanding of the transport phenomena of magnetic particles in the pulmonary acinar regions of the lungs, including particle dynamics and deposition characteristics. Here, we present computational fluid dynamics-discrete element method simulations of magnetically loaded microdroplet carriers in an anatomically inspired, space-filling, multi-generation acinar airway tree. Breathing motion is modeled by kinematic sinusoidal displacements of the acinar walls, during which droplets are inhaled and exhaled. Particle dynamics are governed by viscous drag, gravity, and Brownian motion as well as the external magnetic force. In particular, we examined the roles of droplet diameter and volume fraction of magnetic material within the droplets under two different breathing maneuvers. Our results indicate that by using magnetic-loaded droplets, 100% of the particles that enter are deposited in the acinar region. This is consistent across all particle sizes investigated (ie, 0.5-3.0 µm). This is best achieved through a deep inhalation maneuver combined with a breath-hold. Particles are found to penetrate deep into the acinus and disperse well, while the required amount of magnetic material is maintained low (<2.5%). Although particles in the size range of ~90-500 nm typically show the lowest deposition fractions, our results suggest that this feature could be leveraged to augment targeted delivery.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 3 21%
Librarian 1 7%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Engineering 4 29%
Agricultural and Biological Sciences 2 14%
Nursing and Health Professions 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 4 29%

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 27 July 2016.
All research outputs
#4,317,657
of 8,137,857 outputs
Outputs from International Journal of Nanomedicine
#1,000
of 1,792 outputs
Outputs of similar age
#141,389
of 257,611 outputs
Outputs of similar age from International Journal of Nanomedicine
#95
of 124 outputs
Altmetric has tracked 8,137,857 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,792 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 29th percentile – i.e., 29% 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 257,611 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.