Evidence map›Paper›PMID 40603400›Full record

ArticleScientific reports2025

Double emulsion templated monodisperse antibubbles via combined high-shear homogenization and T-junction microfluidics.

Anuj Niroula, Rabia Zia, Albert Poortinga, Akmal Nazir

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Anuj NiroulaDepartment of Food Science, College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain, United Arab Emirates.
Rabia ZiaDepartment of Pharmaceutics, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Albert PoortingaDepartment of Mechanical Engineering, Polymer Technology, Eindhoven University of Technology, Eindhoven, the Netherlands.
Akmal NazirDepartment of Food Science, College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain, United Arab Emirates. akmal.nazir@uaeu.ac.ae.

Funding

United Arab Emirates University G00003356
6 · The paper itself

Abstract

Antibubbles are unique bubbles (within a bulk liquid) that comprise liquid core(s). This study focused on creating and evaluating antibubbles with multiple cores using double emulsion (DE) templating. The primary emulsion (PE) was made using high-shear homogenization and then passed through a T-junction to form the DE. These DEs were then freeze-dried and rehydrated to form antibubbles. The study examined the effect of PE parameters (homogenization speed (rpm), internal phase ([Formula: see text], %), and interfacial particle concentration ([Formula: see text], %)), second emulsification parameters (flow rate ratio, interfacial particle concentration ([Formula: see text], %), microchannel size, and additional cryoprotectants in continuous phase), and post-emulsification freezing temperature on DE and the antibubble. The best conditions for yielding small-sized DE and the antibubble with maximum reconstitution coefficient (RC) were selected to evaluate the encapsulation efficiency (EE) of calcein in [Formula: see text]. The study found that antibubbles could provide better EE than DEs for storage longer than 7 days. Future studies should focus on scaling up production, improving EE during the DE-to-antibubble transition, and evaluating stability and release dynamics under in-vitro gastrointestinal simulations using human digestive fluids and tissues for more accurate in vivo predictions.

Indexed as

AntibubbleDouble emulsionEncapsulationMicrofluidicMonodisperseT-junction

Identifiers

PMID40603400
PMCPMC12222769

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.