Evidence map›Paper›PMID 40572435›Full record

ArticleMicromachines2025

Investigation of Efficient Mixing Enhancement in a Droplet Micromixer with Short Mixing Length at Low Reynolds Number.

Yuanfang Qiu, Xueze Zhang, Mengzhen Hao, Xu Yin, Mengling Zhou, Shichao Ma, Yuanting Zhang, Naiqian Jiang, Li Xie, Xichen Yuan and 1 more

Abstract read
In one paragraph

Article in Micromachines, 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

11 authors.

Yuanfang QiuSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Xueze ZhangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0009-0006-8987-8646
Mengzhen HaoSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Xu YinSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Mengling ZhouSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Shichao MaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Yuanting ZhangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Naiqian JiangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
Li XieKey Laboratory for Space Bioscience and Biotechnology, Northwestern Polytechnical University, Xi'an 710072, China.
Xichen YuanSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.ORCID 0000-0002-9111-063X
Honglong ChangSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.

Funding

Deep Space Exploration Laboratory Hefei 230026National Natural Science Foundation of China 52205601
6 · The paper itself

Abstract

Rapid mixing is widely prevalent in the field of microfluidics, encompassing applications such as biomedical diagnostics, drug delivery, chemical synthesis, and enzyme reactions. Mixing efficiency profoundly impacts the overall performance of these devices. However, at the micro-scale, the flow typically presents as laminar flow due to low Reynolds numbers, rendering rapid mixing challenging. Leveraging the vortices within a droplet of the Taylor flow and inducing chaotic convection within the droplet through serpentine channels can significantly enhance mixing efficiency. Based on this premise, we have developed a droplet micromixer that integrates the T-shaped channels required for generating Taylor flow and the serpentine channels required for inducing chaotic convection within the droplet. We determined the range of inlet liquid flow rate and gas pressure required to generate Taylor flow and conducted experimental investigations to examine the influence of the inlet conditions on droplet length, total flow rate, and mixing efficiency. Under conditions where channel dimensions and liquid flow rates are identical, Taylor flow achieves a nine-fold improvement in mixing efficiency compared to single-phase flow. At low Reynolds number (0.57 ≤ Re ≤ 1.05), the chip can achieve a 95% mixing efficiency within a 2 cm distance in just 0.5-0.8 s. The mixer proposed in this study offers the advantages of simplicity in manufacturing and ease of integration. It can be readily integrated into Lab-on-a-Chip devices to perform critical functions, including microfluidic switches, formation of nanocomposites, synthesis of oxides and adducts, velocity measurement, and supercritical fluid fractionation.

Indexed as

chaotic convectionlow Reynolds numberrapid mixingserpentine microchannelsTaylor flow

Identifiers

PMID40572435
PMCPMC12195070

What OpenQuestion holds

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LicenceCC BY
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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.