Evidence map›Paper›PMID 39064354›Full record

ArticleMicromachines2024

A Lego-Like Reconfigurable Microfluidic Stabilizer System with Tunable Fluidic RC Constants and Stabilization Ratios.

Wuyang Zhuge, Weihao Li, Kaimin Wang, Zhuodan Chen, Chunhui Wu, Kyle Jiang, Jun Ding, Carl Anthony, Xing Cheng

Abstract read
In one paragraph

Article in Micromachines, 2024. 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
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0citing papers in PubMed
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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

9 authors.

Wuyang ZhugeGuangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology, Department of Materials Science and Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Blvd., Shenzhen 518055, China.
Weihao LiGuangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology, Department of Materials Science and Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Blvd., Shenzhen 518055, China.
Kaimin WangGuangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology, Department of Materials Science and Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Blvd., Shenzhen 518055, China.
Zhuodan ChenGuangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology, Department of Materials Science and Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Blvd., Shenzhen 518055, China.
Chunhui WuGuangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology, Department of Materials Science and Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Blvd., Shenzhen 518055, China.
Kyle JiangDepartment of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Jun DingDepartment of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117576, Singapore.
Carl AnthonyDepartment of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Xing ChengGuangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology, Department of Materials Science and Engineering, Southern University of Science and Technology, No. 1088 Xueyuan Blvd., Shenzhen 518055, China.

Funding

Guangdong-Hong Kong-Macau Joint Laboratory on Micro-Nano Manufacturing Technology 2021LSYS004National Natural Science Foundation of China 31927802Shenzhen Science and Technology Innovation Committee for Talent Development RCJC20200714114436046
6 · The paper itself

Abstract

In microfluidic systems, it is important to maintain flow stability to execute various functions, such as chemical reactions, cell transportation, and liquid injection. However, traditional flow sources, often bulky and prone to unpredictable fluctuations, limit the portability and broader application of these systems. Existing fluidic stabilizers, typically designed for specific flow sources, lack reconfigurability and adaptability in terms of the stabilization ratios. To address these limitations, a modular and standardized stabilizer system with tunable stabilization ratios is required. In this work, we present a Lego-like modular microfluidic stabilizer system, which is fabricated using 3D printing and offers multi-level stabilization combinations and customizable stabilization ratios through the control of fluidic RC constants, making it adaptable to various microfluidic systems. A simplified three-element circuit model is used to characterize the system by straightforwardly extracting the RC constant without intricate calculations of the fluidic resistance and capacitance. By utilizing a simplified three-element model, the stabilizer yields two well-fitted operational curves, demonstrating an R-square of 0.95, and provides an optimal stabilization ratio below 1%. To evaluate the system's effectiveness, unstable input flow at different working frequencies is stabilized, and droplet generation experiments are conducted and discussed. The results show that the microfluidic stabilizer system significantly reduces flow fluctuations and enhances droplet uniformity. This system provides a new avenue for microfluidic stabilization with a tunable stabilization ratio, and its plug-and-play design can be effectively applied across diverse applications to finely tune fluid flow behaviors in microfluidic devices.

Indexed as

3D printingdroplet generationfluidic circuit analogymodular microfluidic stabilizer systemtunable stabilization ratio

Identifiers

PMID39064354
PMCPMC11278724

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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.