Effective dean vortex separation at reduced flow rates towards rare cell sorting

Abstract The study focuses on the design of a spiral microfluidic device, aiming to efficiently sort particle by size, at tailored flow rate for downstream processing. While spiral devices exploiting Dean vortices are recognized for their high-throughput capabilities, they often require high flow rates that limit their integration with other microfluidic functions and reduce sorting performance. Our work aims to design a low flowrate-operating-spiral (~ 50 mL/h) by investigating the influence of spiral geometric parameters and flow conditions on sorting efficiency. Through combined experimental and theoretical analysis, we evaluate how particle size and flow dynamics determine particle positions within the spiral, validating underlying models. This approach provides valuable insights for optimizing spiral microfluidic systems particularly their design, performance, and versatility in applications such as the isolation of rare cell isolation. The spiral design achieved efficient size-based sorting of 10 and 15 μm microbeads at a flow rate of 50 mL/h. When applied to biological samples, the system removed 89% of white blood cells from a 1:1 lysed blood sample (≈ 10⁷ cells/min) while maintaining a recovery of more than 75% for all tested CTC-mimicking cells.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-25
DOI
https://doi.org/10.1038/s41598-026-40845-4
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effective dean vortex separation at reduced flow rates towards rare cell sorting

Léa Payen, J. Degouttes, D. Le Roy, E. Dupont et al.
Scientific Reports
Microfluidic and Bio-sensing Technologies
article

Effective dean vortex separation at reduced flow rates towards rare cell sorting

Léa Payen, J. Degouttes, D. Le Roy, E. Dupont, Marie Piecyk, Anne‐Laure Deman, Gilles Simon, E. C. Laurenceau, Lionel Artinyan, Céline Brunin
article en

Abstract

Abstract The study focuses on the design of a spiral microfluidic device, aiming to efficiently sort particle by size, at tailored flow rate for downstream processing. While spiral devices exploiting Dean vortices are recognized for their high-throughput capabilities, they often require high flow rates that limit their integration with other microfluidic functions and reduce sorting performance. Our work aims to design a low flowrate-operating-spiral (~ 50 mL/h) by investigating the influence of spiral geometric parameters and flow conditions on sorting efficiency. Through combined experimental and theoretical analysis, we evaluate how particle size and flow dynamics determine particle positions within the spiral, validating underlying models. This approach provides valuable insights for optimizing spiral microfluidic systems particularly their design, performance, and versatility in applications such as the isolation of rare cell isolation. The spiral design achieved efficient size-based sorting of 10 and 15 μm microbeads at a flow rate of 50 mL/h. When applied to biological samples, the system removed 89% of white blood cells from a 1:1 lysed blood sample (≈ 10⁷ cells/min) while maintaining a recovery of more than 75% for all tested CTC-mimicking cells.

Scientific ReportsVol. 16(1)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Lyon College (US), Institut des Nanotechnologies de Lyon (FR), Hospices Civils de Lyon (FR), Hôpital Lyon Sud (FR), Institut Lumière Matière (FR), Institut National des Sciences Appliquées de Lyon (FR)
Hospices Civils de Lyon
Openalex Percentile: Top 45%
Microfluidic and Bio-sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.