Evidence map›Paper›PMID 36005019›Full record

ReviewBiosensors2022

Biomechanical Sensing Using Gas Bubbles Oscillations in Liquids and Adjacent Technologies: Theory and Practical Applications.

Ivan S Maksymov, Bui Quoc Huy Nguyen, Sergey A Suslov

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Ivan S MaksymovOptical Sciences Centre, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.ORCID 0000-0002-1428-1216
Bui Quoc Huy NguyenOptical Sciences Centre, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.ORCID 0000-0003-1426-1239
Sergey A SuslovDepartment of Mathematics, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.ORCID 0000-0002-0998-2712

Funding

Australian Research Council FT180100343
6 · The paper itself

Abstract

Gas bubbles present in liquids underpin many natural phenomena and human-developed technologies that improve the quality of life. Since all living organisms are predominantly made of water, they may also contain bubbles-introduced both naturally and artificially-that can serve as biomechanical sensors operating in hard-to-reach places inside a living body and emitting signals that can be detected by common equipment used in ultrasound and photoacoustic imaging procedures. This kind of biosensor is the focus of the present article, where we critically review the emergent sensing technologies based on acoustically driven oscillations of bubbles in liquids and bodily fluids. This review is intended for a broad biosensing community and transdisciplinary researchers translating novel ideas from theory to experiment and then to practice. To this end, all discussions in this review are written in a language that is accessible to non-experts in specific fields of acoustics, fluid dynamics and acousto-optics.

Indexed as

Models, TheoreticalQuality of LifeAcousticsHumansUltrasonographyacoustic frequency combsacousto-opticsartificial intelligencebiomechanicsbiosensingbubblescellular viscoelasticitynonlinear acousticsphysics-informed neural networksvibrations

Identifiers

PMID36005019
PMCPMC9406219

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.