Evidence map›Paper›PMID 40481093›Full record

ArticleScientific reports2025

Universal and economical experimental platform for colloidal mixing lab-on-chip in parabolic flight.

Saran Seehanam, Hein Htet Aung, Rattanawalee Tobsri, Yossaphol Kaewkumpha, Chanud Sithipreedanant, Nachanok Kladsamniang, Witsaroot Sripumkhai, Pattaraluck Pattamang, Potiwat Ngamkajornwiwat, Wanassanan Chansataporn and 1 more

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Saran Seehanam *Laboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok, 10210, Thailand.
Hein Htet Aung *Laboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok, 10210, Thailand.
Rattanawalee TobsriLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok, 10210, Thailand.
Yossaphol KaewkumphaLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok, 10210, Thailand.
Chanud SithipreedanantLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok, 10210, Thailand.
Nachanok KladsamniangFaculty of Information Technology, Monash University, Wellington Rd, Clayton, VIC, 3800, Australia.
Witsaroot SripumkhaiThai Microelectronics Center (TMEC), National Science and Technology Development Agency (NSTDA), 51/4 Moo 1, Wang Takien District, Amphur Muang, Chachoengsao, 24000, Thailand.
Pattaraluck PattamangThai Microelectronics Center (TMEC), National Science and Technology Development Agency (NSTDA), 51/4 Moo 1, Wang Takien District, Amphur Muang, Chachoengsao, 24000, Thailand.
Potiwat NgamkajornwiwatPanyapiwat Institute of Management, 85/1 Moo 2, Chaengwattana Rd., Bang-Talat, Pakkred, Nonthaburi, 11120, Thailand.
Wanassanan ChansatapornPanyapiwat Institute of Management, 85/1 Moo 2, Chaengwattana Rd., Bang-Talat, Pakkred, Nonthaburi, 11120, Thailand.
Wares ChancharoenLaboratory of Artificial Intelligence and Innovation in Medicine (AIIM), Princess Srisavangavadhana Faculty of Medicine, Chulabhorn Royal Academy, 906 Kampangpetch 6 Rd., Talat Bang Khen, Lak Si, Bangkok, 10210, Thailand. wares.cha@cra.ac.th.

Funding

National Science Research and Innovation Fund (NSRF) FRB670024/0240 Project code 198471
6 · The paper itself

Abstract

This study presents an economical experimental platform designed to investigate colloid and emulsion mixing under parabolic flight conditions. The compact 20 kg system integrates a modular fluidic device with real-time imaging capabilities to enable the observation of fluid interactions at the millimeter scale. The platform focuses on safety, like a double containment system, while remaining accessible for quick experimental modifications. Experiments using four distinct colloids, Thailand Lunar Simulant (TLS-01A), emulsions with Span 80 (50% v/v) and Tween 80 (10% v/v), and a control without additives, enabled analysis of surface tension and particle effects on mixing behavior. Through 29 experimental trials during parabolic flight cycles, each with approximately 20 s of microgravity, the system captured fluid dynamics at 240 frames per second. The platform enables future research to observe effects of surfactant and mixer geometry in real-world scale, with potential for improvements in automation and imaging capabilities. Using a simple measure of color distribution entropy, the Span 80 sample exhibited the highest degree of mixing, with a 24.2% improvement over the microgravity control and a 19.4% increase relative to ground-based Span sample.

Indexed as

Colloid mixingDeep space food systemEmulsificationFluidic deviceLab-on-chipMicrogravityParabolic flightStatic mixerSyringe pump

Identifiers

PMID40481093
PMCPMC12144302

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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.