Yuan Yaling, Zhong Yue, Yang Yanbin, Li Ke
Department of Clinical Laboratory, Affiliated Central Hospital of Chongqing University of Technology, The Seventh People's Hospital of Chongqing, Chongqing, 400054, PR China.
Chongqing Novos Biotechnology Co., Ltd., Chongqing, 401147, PR China.
Anal Biochem. 2024 Jun;689:115502. doi: 10.1016/j.ab.2024.115502. Epub 2024 Mar 6.
Myoglobin (Myo), creatine kinase-MB (CKMB), and cardiac troponin I (cTnI) are crucial biomarkers for diagnosing acute myocardial infarction (AMI) The accurate and rapid detection of these three targets can greatly improve the prognosis of AMI patients. Herein, this study developed a microfluidic immunofluorescence method that can detect all three targets in 10-15 min. Ultrasonic atomization and spray technology are used to modify the surface of the injection-molded microfluidic chip (MFC), which effectively solves the problem of biological cross-linking and antibody immobilization on the MFC surface. In addition, it improves the hydrophilicity of the chip surface, thus enhancing fluid self-driving effect. The linear response towards Myo, CKMB and cTnI range from 5 ng/mL to 500 ng/mL, 1 ng/mL to 70 ng/mL, and 0.05 ng/mL to 30 ng/mL, respectively. The intra-batch precision is ≤ 10%, and the inter-batch precision is ≤ 15%. Furthermore, this method shows good consistency compared with the BECKMAN ACCESS2 chemiluminescent immunoanalyzer. The present work provides an AMI diagnostic method with high sensitivity, good repeatability, high accuracy and simple operation, which can satisfy the needs of clinical diagnosis, and shows promising application prospects.
肌红蛋白(Myo)、肌酸激酶同工酶MB(CKMB)和心肌肌钙蛋白I(cTnI)是诊断急性心肌梗死(AMI)的关键生物标志物。对这三个指标进行准确、快速的检测能够极大地改善AMI患者的预后。在此,本研究开发了一种微流控免疫荧光方法,可在10 - 15分钟内检测所有这三个指标。采用超声雾化和喷雾技术对注塑微流控芯片(MFC)表面进行修饰,有效解决了MFC表面生物交联和抗体固定的问题。此外,它提高了芯片表面的亲水性,从而增强了流体自驱动效应。对Myo、CKMB和cTnI的线性响应范围分别为5 ng/mL至500 ng/mL、1 ng/mL至70 ng/mL和0.05 ng/mL至30 ng/mL。批内精密度≤10%,批间精密度≤15%。此外,与贝克曼ACCESS2化学发光免疫分析仪相比,该方法显示出良好的一致性。本研究工作提供了一种具有高灵敏度、良好重复性、高精度且操作简单的AMI诊断方法,能够满足临床诊断需求,并展现出广阔的应用前景。