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Updated: May 10, 2026

Fully Automated Centrifugal Microfluidic Device for Ultrasensitive Protein Detection from Whole Blood
Published on: April 16, 2016
Barcode-integrated cellulose based microfluidic system for intelligent point-of-care blood typing.
Chunrui Chen1, Tonghuan Zhan1, Lin Hu2
1School of Mechanical Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China. xb022@ustc.edu.cn.
A new BloodStrips system uses cellulose microfluidics and barcode technology for rapid, user-friendly blood typing. This intelligent system provides accurate results via smartphone scanning, ideal for resource-limited settings.
Area of Science:
- Biomedical Engineering
- Materials Science
- Clinical Diagnostics
Background:
- Accurate blood typing is crucial for safe transfusions and transplants.
- Existing methods can be time-consuming or require specialized equipment.
- Need for rapid, user-friendly, and accessible blood typing solutions.
Purpose of the Study:
- To develop a novel, intelligent blood typing system called BloodStrips.
- To integrate microfluidics with universal barcode technology for blood type detection.
- To create a user-friendly and accurate diagnostic platform.
Main Methods:
- Utilized heat transfer printing for barcode creation on cotton substrates.
- Employed cotton threads to form hydrophilic channels for blood separation.
- Developed a swinging elution method to differentiate red blood cells (RBCs) based on aggregation.
- Integrated a smartphone scanning technique for automated blood type identification.
Main Results:
- Successfully created distinct white/red visual barcodes representing different blood types.
- Developed a portable and automated blood typing chip (BloodBar chip).
- Smartphone scanning accurately deciphered blood types, minimizing reading errors.
Conclusions:
- The BloodStrips system offers a universal, intelligent visual diagnostic platform.
- Achieved simple, rapid, and accurate blood typing.
- Demonstrated potential for wide application in developing countries and resource-limited areas.
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