ArticleNature communications2013
Engineering fluid flow using sequenced microstructures.
Article in Nature communications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- Microfluidic Capillary Arrays for Pixelated Control of Multimaterial Flows.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A Cascaded Dual Spiral Microfluidic Chip for Continuous Separation of Multicomponent Microparticles.Micromachines · 2026Article
- AI-Enabled Microfluidics for Respiratory Pathogen Detection.Sensors (Basel, Switzerland) · 2025Review
- CeyeHao: AI-driven microfluidic flow programming with hierarchically assembled obstacles and receptive field-augmented neural network.Science advances · 2025Article
- Optimizing Microfluidic Channel Design with Tilted Rectangular Baffles for Enhanced mRNA-Lipid Nanoparticle Preparation.ACS biomaterials science & engineering · 2025Article
- Inertia-induced mixing and reaction maximization in laminar porous media flows.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Elastin-like polypeptide coacervates as reversibly triggerable compartments for synthetic cells.Communications chemistry · 2024Article
- Article
- Deep learning with microfluidics for on-chip droplet generation, control, and analysis.Frontiers in bioengineering and biotechnology · 2023Review
- Asymmetrical Obstacles Enable Unilateral Inertial Focusing and Separation in Sinusoidal Microchannel.Cyborg and bionic systems (Washington, D.C.) · 2023Article
- Generation of Dynamic Concentration Profile Using A Microfluidic Device Integrating Pneumatic Microvalves.Biosensors · 2022Article
- Separation of U87 glioblastoma cell-derived small and medium extracellular vesicles using elasto-inertial flow focusing (a spiral channel).Scientific reports · 2022Article
- Limitation of spiral microchannels for particle separation in heterogeneous mixtures: Impact of particles' size and deformability.Biomicrofluidics · 2020Article
- Research on removal function of fluid hydrodynamic fixed abrasive grinding.Journal of advanced research · 2020Article
- Disease diagnostics using hydrodynamic flow focusing in microfluidic devices: Beyond flow cytometry.Biomedical engineering letters · 2020Review
- Spontaneous oscillations and negative-conductance transitions in microfluidic networks.Science advances · 2020Article
- Silver Nanoprism Enhanced Colorimetry for Precise Detection of Dissolved Oxygen.Micromachines · 2020Article
- Label-free microfluidic sorting of microparticles.APL bioengineering · 2019Review
- 3D hydrodynamic focusing in microscale channels formed with two photoresist layers.Microfluidics and nanofluidics · 2019Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Controlling the shape of fluid streams is important across scales: from industrial processing to control of biomolecular interactions. Previous approaches to control fluid streams have focused mainly on creating chaotic flows to enhance mixing. Here we develop an approach to apply order using sequences of fluid transformations rather than enhancing chaos. We investigate the inertial flow deformations around a library of single cylindrical pillars within a microfluidic channel and assemble these net fluid transformations to engineer fluid streams. As these transformations provide a deterministic mapping of fluid elements from upstream to downstream of a pillar, we can sequentially arrange pillars to apply the associated nested maps and, therefore, create complex fluid structures without additional numerical simulation. To show the range of capabilities, we present sequences that sculpt the cross-sectional shape of a stream into complex geometries, move and split a fluid stream, perform solution exchange and achieve particle separation. A general strategy to engineer fluid streams into a broad class of defined configurations in which the complexity of the nonlinear equations of fluid motion are abstracted from the user is a first step to programming streams of any desired shape, which would be useful for biological, chemical and materials automation.
Identifiers
23652014What OpenQuestion holds
Registered trials
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.