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

工作流程 全血 周转时间 计算机科学 检测点注意事项 生化工程 风险分析(工程) 系统工程 分离(统计) 软件部署 血流 仪表(计算机编程) 临床实习 可靠性工程 干血 有限的资源
作者
M.H.F. Lee,Samiha Ahmed,Lin Tong,Mert Kerem Ulku,Nandita Chaturvedi,Sayantan Tripathy,Barath Palanisamy,Masoud Negahdary,Joshua D. Hutcheson,Gerard L. Coté,Samuel B. Mabbott,Hatice Ceylan Koydemir,Rajesh Ghosh,Dino Di Carlo
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (12): 9203-9224 被引量:11
标识
DOI:10.1021/acssensors.5c03584
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yuying发布了新的文献求助10
1秒前
科研通AI6.4的应助被yc采纳,获得10
2秒前
科研通AI6.4的应助被Li冠超采纳,获得10
3秒前
3秒前
Loading完成签到,获得积分10
3秒前
romarola发布了新的文献求助10
3秒前
Nakyseo发布了新的文献求助10
4秒前
科研通AI6.4的应助被氟西汀采纳,获得10
5秒前
炙热尔阳发布了新的文献求助10
5秒前
端庄的小蝴蝶完成签到,获得积分10
6秒前
无花果的应助被称心青亦采纳,获得10
8秒前
小鱼完成签到 ,获得积分10
8秒前
明兰完成签到,获得积分10
10秒前
11秒前
在水一方的应助被crisprin采纳,获得10
14秒前
15秒前
氟西汀完成签到,获得积分10
15秒前
科研通AI6.4的应助被山水之乐采纳,获得10
15秒前
咩咩哭包完成签到 ,获得积分10
16秒前
十一完成签到,获得积分10
16秒前
Li冠超发布了新的文献求助10
16秒前
17秒前
科研通AI6.2的应助被master采纳,获得30
18秒前
秋风的应助被MOJITO采纳,获得10
18秒前
十一发布了新的文献求助10
18秒前
yuying完成签到,获得积分10
18秒前
Nakyseo完成签到,获得积分10
19秒前
CodeCraft的应助被鸭鸭采纳,获得10
21秒前
lddd完成签到 ,获得积分10
21秒前
十三发布了新的文献求助10
22秒前
22秒前
听话的墨镜完成签到 ,获得积分10
23秒前
23秒前
Akim的应助被xiaoqi采纳,获得10
24秒前
无限行之完成签到,获得积分10
25秒前
乾乾发布了新的文献求助10
29秒前
29秒前
29秒前
李麟发布了新的文献求助10
31秒前
31秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7808348
求助须知:如何正确求助?哪些是违规求助? 9340861
关于积分的说明 20504003
捐赠科研通 7400567
什么是DOI,文献DOI怎么找? 3328759
关于科研通互助平台的介绍 2475485
邀请新用户注册赠送积分活动 2347041