4.6 Article

Microfluidic Particle Separation and Detection System Based on Standing Surface Acoustic Wave and Lensless Imaging

Journal

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 69, Issue 7, Pages 2165-2175

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2021.3138086

Keywords

Imaging; Microfluidics; Force; Surface acoustic waves; Fluids; Radio frequency; Optical surface waves; Lensless imaging; microfluidic separation; surface acoustic wave (SAW); standalone; point-of-care

Funding

  1. NSFC [61827806, 61801158]
  2. Zhejiang Provincial Natural Science Foundation of China [LZ22F010007]
  3. Fundamental Research Funds for the Provincial Universities of Zhejiang [GK209907299001-305, GK219909299001-410]
  4. Talent Cultivation Project by Zhejiang Association for Science and Technology [CTZB-2020080127-19]
  5. Qianjiang Talent Project Type-D of Zhejiang [QJD1802021]

Ask authors/readers for more resources

The study presents an integrated platform that combines acoustophoresis-based separator and lensless imaging sensor to separate, distinguish, and count microbeads of different sizes label-free. Experimental results demonstrate the excellent performance of the platform, offering a promising solution for label-free cell separation and detection in biomedical diagnostics.
Objective: Separation and detection of micro-particles or cells from bio-samples by point-of-care (POC) systems are critical for biomedical and healthcare diagnostic applications. Among various microfluidic separation techniques, acoustophoresis-based technique has the advantages of label-free and good biocompatibility. However, most of the existing separation techniques are bulky and require additional equipment for analysis. Methods: We proposed a platform, which integrates an acoustophoresis-based separation device and a lensless imaging sensor into a compact standalone system to tackle this challenge. Standing Surface Acoustic Wave (SSAW) is utilized for label-free particle separation, while lensless imaging is employed for seamless particle detection and counting using self-developed dual-threshold motion detection algorithms. In particular, we specially optimized the design of microfluidic channel and interdigital transducers (IDTs) for higher performance bioparticle separation, designed a heat dissipation system for the suppression of fluid temperature, and proposed a novel frequency-temperature-curve based method to determine the appropriate signal driving frequency for IDTs. Results: At 2 mu L/min flow rate, separation efficiency of 93.52% and purity of 94.29% for 15 mu m microbead were achieved in mixed 5 mu m and 15 mu m microbead solution at a 25 dBm RF driving power, and similar results for mixed 10 mu m and 15 mu m microbead solution. Conclusions: The results showed that the integrated platform has an excellent capability to seamlessly separate, distinguish, and count microbeads of different sizes. Significance: Such a platform and the design methodologies offer a promising POC solution for label-free cell separation and detection in biomedical diagnostics.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available