Microfluidic blood plasma separation for medical diagnostics: is it worth it?
W S Mielczarek1, E A Obaje, T T Bachmann
1Institute of Biological Chemistry, Biophysics and Bioengineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK. m.kersaudy-kerhoas@hw.ac.uk.
Lab on a Chip
|August 10, 2016
Summary
Directly detecting circulating biomarkers in blood is challenging due to sample complexity. This review explores miniaturized plasma separation techniques and direct capture methods to improve diagnostic accuracy.
Area of Science:
- Biomedical Engineering
- Clinical Diagnostics
- Biomarker Discovery
Background:
- Circulating biomarkers show promise for disease diagnosis, but direct detection in blood is hindered by complex sample matrices.
- Blood cells introduce signal variability, with hemoglobin interference being a known issue and cellular component release a growing concern for extracellular marker detection.
Purpose of the Study:
- To review the advantages and limitations of miniaturized blood plasma separation techniques.
- To highlight advances in direct biomarker capture and smart plasma separation methods.
- To assess the feasibility of avoiding plasma separation entirely for point-of-care diagnostics.
Main Methods:
- Review of recent (2006-2016) research in miniaturized blood plasma separation.
- Analysis of microscale separation systems for point-of-care applications.
- Evaluation of direct capture technologies and integrated smart separation approaches.
Main Results:
- Miniaturized plasma separation systems vary in complexity and sample volume suitability.
- Direct capture methods offer an alternative to plasma separation, potentially simplifying point-of-care testing.
- Smart plasma separation technologies aim to enhance efficiency and reduce variability.
Conclusions:
- Miniaturized plasma separation is crucial for point-of-care diagnostics but faces challenges.
- Avoiding plasma separation through direct capture or advanced smart separation presents a promising avenue.
- Further research is needed to optimize these methods for reliable biomarker detection.


