Evidence map›Paper›PMID 33100885›Full record

ArticleCurrent opinion in colloid & interface science2020

Acoustic Nanodrops for Biomedical Applications.

Mark A Borden, Gazendra Shakya, Awaneesh Upadhyay, Kang-Ho Song

Abstract read
In one paragraph

Article in Current opinion in colloid & interface science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Photoacoustic Vaporization of Endoskeletal Droplets Loaded with Zinc Naphthalocyanine.Langmuir : the ACS journal of surfaces and colloids · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mark A BordenBiomedical Engineering, Mechanical Engineering, University of Colorado, Boulder, USA.
Gazendra ShakyaBiomedical Engineering, Mechanical Engineering, University of Colorado, Boulder, USA.
Awaneesh UpadhyayBiomedical Engineering, Mechanical Engineering, University of Colorado, Boulder, USA.
Kang-Ho SongBiomedical Engineering, Mechanical Engineering, University of Colorado, Boulder, USA.

Funding

Ultrasound Molecular Imaging to Assess Therapeutic ResponseR01CA195051 · NCI · UNIVERSITY OF COLORADO · PI BORDEN, MARK ANDREW, DAYTON, PAUL A · 2015 to 2018
$2.0M
Microbubble Dose Optimization for Image-Guided Drug DeliveryR01CA239465 · NCI · UNIVERSITY OF COLORADO · PI BORDEN, MARK ANDREW · 2019 to 2023
$1.7M
NCI NIH HHS R01 CA195051NCI NIH HHS R01 CA239465
6 · The paper itself

Abstract

Acoustic nanodrops are designed to vaporize into ultrasound-responsive microbubbles, which presents certain challenges nonexistent for conventional nano-emulsions. The requirements of biocompatibility, vaporizability and colloidal stability has focused research on perfluorocarbons (PFCs). Shorter PFCs yield better vaporizability via their lower critical temperature, but they also dissolve more easily owing to their higher vapor pressure and solubility. Thus, acoustic nanodrops have required a tradeoff between vaporizability and colloidal stability in vivo. The recent advent of vaporizable endoskeletal droplets, which are both stable and vaporizable, may have solved this problem. The purpose of this review is to justify this premise by pointing out the beneficial properties of acoustic nanodrops, providing an analysis of vaporization and dissolution mechanisms, and reviewing current biomedical applications.

Identifiers

PMID33100885
PMCPMC7581261

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.