Evidence map›Paper›PMID 35818383›Full record

ArticleCrystal growth & design2022

Microfluidic Platform with Serpentine Geometry Providing Chaotic Mixing in Induction Time Experiments.

Sameer D Shingte, Olav Altenburg, Peter J T Verheijen, Herman J M Kramer, Huseyin Burak Eral

Open access · hybridAbstract read
In one paragraph

Article in Crystal growth & design, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 33% of its field
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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Sameer D ShingteProcess & Energy Department, Delft University of Technology, Leeghwaterstraat 39, 2628 CA Delft, The Netherlands.ORCID https://orcid.org/0000-0003-4622-2592
Olav AltenburgProcess & Energy Department, Delft University of Technology, Leeghwaterstraat 39, 2628 CA Delft, The Netherlands.ORCID https://orcid.org/0000-0001-7701-2729
Peter J T VerheijenBiotechnology Department, Delft University of Technology, 2629 HZ Delft, The Netherlands.ORCID https://orcid.org/0000-0003-2649-1189
Herman J M KramerProcess & Energy Department, Delft University of Technology, Leeghwaterstraat 39, 2628 CA Delft, The Netherlands.ORCID https://orcid.org/0000-0003-3580-8432
Huseyin Burak EralProcess & Energy Department, Delft University of Technology, Leeghwaterstraat 39, 2628 CA Delft, The Netherlands.ORCID https://orcid.org/0000-0003-3193-452X
Delft University of Technology · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a droplet microfluidic platform mixing the contents of the droplet chaotically in microfluidic induction time measurements, a promising method for quantifying nucleation kinetics with minute amounts of solute. The nucleation kinetics of aqueous potassium chloride droplets dispersed in mineral oil without surfactants is quantified in the presence and absence of chaotic mixing. We demonstrate the ability of the proposed platform to dictate droplet size, to provide a homogeneous temperature distribution, and to chaotically mix the droplet contents. Chaotic mixing in induction time measurements is facilitated by the motion of droplets through serpentine micromixer bends, while the extent of mixing is controlled by how much droplets move. Different nucleation kinetics are observed in experiments where the droplets are static, mixed, and in motion. We hypothesize that the droplet motion induces formation of a thin-liquid Bretherton film surrounding the droplets. The thin film shields droplets from solid boundaries that are more efficient heteronucleant surfaces compared to liquid-liquid interfaces. We observed that repeated microfluidic induction time measurements, particularly with moving droplets, produce significantly distinct cumulative nucleation probability curves, indicating that the measured nucleation kinetics depend strongly on the details of the experimental procedure, which we discuss in detail. Finally, we compare the microfluidic experiments to well-mixed, milliliter volume, turbidity-based measurements in the context of classic nucleation theory.

Identifiers

PMID35818383
PMCPMC9264360
OpenAlexW4281958045

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.