A capillary-based microfluidic chip with the merits of low cost and easy fabrication for the rapid detection of acute myocardial infarction

微流控 小型化 毛细管作用 检出限 制作 纳米技术 化学 肌钙蛋白I 多路复用 检测点注意事项 微系统 免疫分析 微流控芯片 心肌梗塞 材料科学 色谱法 生物信息学 内科学 医学 替代医学 病理 抗体 免疫学 复合材料 生物
作者
Xiuxiu Li,Chenglong Xu,Hao Chen,Fei Yi,Jiaqi Liao,Jisheng Han,Chonghao Li,Wei Han,Ray P. S. Han,Hong Chen
出处
期刊:Talanta [Elsevier]
卷期号:265: 124924-124924 被引量:3
标识
DOI:10.1016/j.talanta.2023.124924
摘要

Point-of-care testing methods currently utilize rapid, portable, inexpensive, and multiplexed on-site detection. Microfluidic chips have become a very promising platform with broad development prospects due to their breakthrough improvement in miniaturization and integration. However, the conventional microfluidic chips still have disadvantages, such as difficulty in fabrication processing, long production time and high cost, which hinder its applications in the fields of POCT and in vitro diagnostics. In this study, a capillary-based microfluidic chip with the characteristics of low cost and easy fabrication was developed for the rapid detection of acute myocardial infarction (AMI). Several short capillaries, which were already conjugated with the capture antibodies respectively, were connected by peristaltic pump tubes and then formed the working capillary. Two working capillaries were encapsulated in the plastic shell and ready for the immunoassay. Multiplex detection of Myoglobin (Myo), cardiac troponin I (cTnI) and creatine kinase-MB (CK-MB) were chosen to demonstrate the feasibility and analytical performance of the microfluidic chip, which requires rapid and accurate detection during diagnosis and therapy for AMI. The capillary-based microfluidic chip required tens of minutes to prepared, and its cost was less than $1. The limit of detection (LOD) was 0.5 ng/mL for Myo, 0.1 ng/mL for cTnI and 0.5 ng/mL for CK-MB respectively. The capillary-based microfluidic chips with easy fabrication and low cost hold promise for the portable and low-cost detection of target biomarkers.
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