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  4. Acoustofluidic large-scale mixing for enhanced microfluidic immunostaining for tissue diagnostics
 
research article

Acoustofluidic large-scale mixing for enhanced microfluidic immunostaining for tissue diagnostics

Draz, Muaz S.
•
Dupouy, Diego  
•
Gijs, Martin A. M.  
June 27, 2023
Lab On A Chip

The usage of microfluidics for automated and fast immunoassays has gained a lot of interest in the last decades. This integration comes with certain challenges, like the reconciliation of laminar flow patterns of micro-scale systems with diffusion-limited mass transport. Several methods have been investigated to enhance microfluidic mixing in microsystems, including acoustic-based fluidic streaming. Here, we report both by numerical simulation and experiments on the beneficiary effect of acoustic agitation on the uniformity of immunostaining in large-size and thin microfluidic chambers. Moreover, we investigate by numerical simulation the impact of reducing the incubation times and the concentrations of the biochemical detection reagents on the obtained immunoassay signal. Finally, acoustofluidic mixing was successfully used to reduce by 80% the incubation time of the Her2 (human epidermal growth factor receptor 2) and CK (cytokeratins) biomarkers for the spatial immunostaining of breast cancer cell pellets, or reducing their concentration by 66% and achieving a higher signal-to-background ratio than comparable spatially resolved immunostaining with static incubation.

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Type
research article
DOI
10.1039/d3lc00312d
Web of Science ID

WOS:001016527200001

Author(s)
Draz, Muaz S.
Dupouy, Diego  
Gijs, Martin A. M.  
Date Issued

2023-06-27

Publisher

ROYAL SOC CHEMISTRY

Published in
Lab On A Chip
Subjects

Biochemical Research Methods

•

Chemistry, Multidisciplinary

•

Chemistry, Analytical

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Nanoscience & Nanotechnology

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Instruments & Instrumentation

•

Biochemistry & Molecular Biology

•

Chemistry

•

Science & Technology - Other Topics

•

on-a-chip

•

shear-stress

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flow

•

cavitation

•

expression

•

challenges

•

generation

•

advantages

•

gradients

•

diffusion

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMIS2  
Available on Infoscience
July 17, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/199126
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