微流控芯片
微流控
肾脏疾病
分离(统计)
疾病监测
生物医学工程
色谱法
医学
计算生物学
病理
计算机科学
生物
疾病
材料科学
纳米技术
化学
内科学
机器学习
作者
Jing Yang,Xiaoye Feng,Haiqin Li,Pengtao Chang,Xiaojun Ren,Xiaochun Li
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2025-07-26
卷期号:10 (8): 5623-5632
被引量:4
标识
DOI:10.1021/acssensors.5c00491
摘要
Chronic kidney disease (CKD) has become a public health burden, with a high mortality rate and a trend toward youthfulness. It is imperative to develop a home monitoring system for the early diagnosis and long-term monitoring of CKD serum biomarkers. However, due to the limitations of conventional centrifugation preprocessing of whole blood samples, the real-time detection platform cannot fully meet the requirement of obtaining quantitative results directly from whole blood. Herein, a novel smartphone-assisted microfluidic chip integration of a whole blood separation point-of-care testing (POCT) system was proposed to achieve accurate quantification of CKD biomarkers uric acid (UA), creatinine (CR), and albumin (Alb) based on 30 μL of whole blood (fingertip blood). The whole blood separation module allows rapid separation of plasma from whole blood samples by vertical flow. A smartphone App for automated image recognition and processing was developed, which was applied for at-home routine healthcare. The detection limits of UA, CR, and Alb were 0.1127 mmol/L, 0.2978 μmol/L, and 0.7696 mg/mL, respectively, meeting clinical requirements. Additionally, the quantitative performance of 83 clinical whole blood samples showed high consistency with the clinical analyzer (Beckman AU 5400 automatic biochemical analyzer). This system is simple to operate and user-friendly, providing an accurate, rapid, cost-effective, and reliable detection method for the early screening and real-time monitoring of CKD, which holds significant potential in enhancing home self-management of CKD.
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