A Novel Hand-Held Spinning Platform with Centrifugal Microfluidics for Rapid, Cost-Effective Urinary Total Protein Detection at the Point of Care.

一种新型手持式旋转平台,采用离心微流控技术,可在护理点快速、经济高效地检测尿液总蛋白

阅读:5
作者:Li Wei, Zhang Jing, Liao Junchen, Zhu Mingze, Wang Xinrui, Zhou Xiang, Ma Zhiqiang, Elhousseini Hilal Mohamed, Chua Song Lin, Tan Guangming, Yan Bryan P, Khoo Bee Luan
Urinary total protein (UTP) serves as a critical biomarker for diagnosing and managing various diseases; however, current detection methods often face limitations regarding accessibility, cost, and operational complexity for point-of-care applications. This study presents a novel hand-held spinning platform with centrifugal microfluidics (HSP-C(M)), a groundbreaking technology designed for electricity-free, cost-effective UTP detection at a remarkably low cost of approximately 1.4 USD per test. The HSP-C(M) integrates a 3D-printed spinning device that ensures uniform reagent distribution and a centrifugal microfluidic biochip capable of providing quantitative UTP analysis in a colorimetric, rapid (∼3 min), and user-friendly format. Notable innovations of the system include tunable hydrophilic-hydrophobic surface properties via microchannel aspect ratio adjustments, optimized optical conditions with an ultrafast exposure time of 1/100 s, and minimal sample volume requirements (5 μL), resulting in a detection limit as low as 3.49 μg/mL. The system demonstrated high throughput (n = 16) and strong correlation (0.9481) and agreement (90.32%) with gold-standard laboratory methods when validated using clinical urine samples from both healthy donors (n = 6) and myocardial infarction (MI) patients (n = 25). Furthermore, the HSP-C(M) successfully identified clinically relevant UTP thresholds (>63.11 μg/mL) for distinguishing high-risk MI patients, achieving 100% sensitivity and specificity in patient classification. This novel platform presents a transformative solution for point-of-care proteinuria monitoring, offering significant potential for deployment in remote and resource-limited environments, where it could enhance disease detection, management, and patient outcomes through its noninvasive, rapid, and efficient capabilities.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。