Advances in Whole Blood Separation Techniques for Point-of-Care Testing

Despite its ubiquity as a clinical sample, whole blood remains inherently challenging to use in diagnostics, leading to routine reliance on serum and plasma in clinical testing. Whole blood is a complex mixture of cells, lipids, proteins, and metabolites, many of which can interfere with assays designed for plasma or serum if used directly, thereby reducing the sensitivity and accuracy. While traditional laboratory workflows use multistep preparations and benchtop instruments such as centrifuges to overcome these challenges, such methods are often impractical for point-of-care applications, particularly in decentralized or resource-limited settings. This review systematically examines whole blood-based point-of-care testing (POCT) platforms that either operate directly on blood samples or integrate current or emerging separation techniques, including centrifugation, microfluidics, membrane filtration, capillary-driven flow, electrophoresis, and acoustofluidics. We highlight the operational principles, performance metrics (yield, purity, turnaround time), and feasibility of these approaches for a reliable integrated POCT deployment. By evaluating these technologies against the functional demands of modern diagnostics, we outline trade-offs among efficiency, cost, complexity, and integration potential. Our goal is to provide a framework for selecting or engineering appropriate blood separation strategies tailored to specific diagnostic needs, ultimately supporting the broader deployment of POCT across community clinics, emergency medicine, and at-home settings.

Authors

Institutions

Publication Details

Journal
ACS Sensors
Published
2025-11-24
DOI
https://doi.org/10.1021/acssensors.5c03584
Citations
1
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advances in Whole Blood Separation Techniques for Point-of-Care Testing

Nandita Chaturvedi, Barath Palanisamy, M.H.F. Lee, Lin Tong et al.
1 citations
ACS Sensors
Microfluidic and Bio-sensing Technologies
0.67
article

Advances in Whole Blood Separation Techniques for Point-of-Care Testing

Nandita Chaturvedi, Barath Palanisamy, M.H.F. Lee, Lin Tong, Gerard L. Coté, Masoud Negahdary, Sharif Ahmed, Hatice Ceylan Koydemir, Sayantan Tripathy, Samuel Mabbott, Dino Di Carlo, Joshua D. Hutcheson, Rajesh Ghosh, Mert Kerem Ulku
article en
1 citations

Abstract

Despite its ubiquity as a clinical sample, whole blood remains inherently challenging to use in diagnostics, leading to routine reliance on serum and plasma in clinical testing. Whole blood is a complex mixture of cells, lipids, proteins, and metabolites, many of which can interfere with assays designed for plasma or serum if used directly, thereby reducing the sensitivity and accuracy. While traditional laboratory workflows use multistep preparations and benchtop instruments such as centrifuges to overcome these challenges, such methods are often impractical for point-of-care applications, particularly in decentralized or resource-limited settings. This review systematically examines whole blood-based point-of-care testing (POCT) platforms that either operate directly on blood samples or integrate current or emerging separation techniques, including centrifugation, microfluidics, membrane filtration, capillary-driven flow, electrophoresis, and acoustofluidics. We highlight the operational principles, performance metrics (yield, purity, turnaround time), and feasibility of these approaches for a reliable integrated POCT deployment. By evaluating these technologies against the functional demands of modern diagnostics, we outline trade-offs among efficiency, cost, complexity, and integration potential. Our goal is to provide a framework for selecting or engineering appropriate blood separation strategies tailored to specific diagnostic needs, ultimately supporting the broader deployment of POCT across community clinics, emergency medicine, and at-home settings.

ACS SensorsVol. 10(12)
Nanosys (United States) (US), California NanoSystems Institute (US), University of California, Los Angeles (US), Texas A&M University System (US), Florida International University (US), Mitchell Institute (US), University of California System (US), Technologies pour la Santé (FR), Center For Remote Sensing (United States) (US), Texas A&M Engineering Experiment Station, Texas A&M University (US)
Openalex Percentile: Top 24%
Microfluidic and Bio-sensing Technologies
0.67
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.