Department of Biomedical Engineering, College of Medicine, Kyung Hee University, 02447, Seoul, South Korea.
Division of Cardiology, Department of Internal Medicine, Kyung Hee University, 02447, Seoul, South Korea.
Small. 2024 Feb;20(8):e2304999. doi: 10.1002/smll.202304999. Epub 2023 Oct 11.
Rapid and precise acute myocardial infarction (AMI) diagnosis is essential for preventing patient death. In addition, the complementary roles of creatine kinase muscle brain (CK-MB) and cardiac troponin I (cTnI) cardiac biomarkers in the early and late stages of AMI demand their simultaneous detection, which is difficult to implement using conventional fluorescence and electrochemical technologies. Here, a nanotechnology-based one-stop immuno-surface-enhanced Raman scattering (SERS) detection platform is reported for multiple cardiac indicators for the rapid screening and progressive tracing of AMI events. Optimal SERS is achieved using optical property-based, excitation wavelength-optimized, and high-yield anisotropic plasmonic gold nanocubes. Optimal immunoassay reaction efficiencies are achieved by increasing immobilized antibodies. Multiple simultaneous detection strategies are implemented by incorporating two different Raman reports with narrow wavenumbers corresponding to two indicators and by establishing a computational SERS mapping process to accurately detect their concentrations, irrespective of multiple enzymes in the human serum. The SERS platform precisely estimated AMI onset and progressive timing in human serum and made rapid AMI identification feasible using a portable Raman spectrometer. This integrated platform is hypothesized to significantly contribute to emergency medicine and forensic science by providing timely treatment and observation.
快速准确地诊断急性心肌梗死(AMI)对于预防患者死亡至关重要。此外,肌酸激酶脑型(CK-MB)和心肌肌钙蛋白 I(cTnI)这两种心脏生物标志物在 AMI 的早期和晚期阶段具有互补作用,需要同时检测,这在传统的荧光和电化学技术中难以实现。在这里,报道了一种基于纳米技术的一站式免疫表面增强拉曼散射(SERS)检测平台,用于快速筛选和逐步追踪 AMI 事件的多种心脏指标。通过基于光学特性、优化激发波长和高产量各向异性等离子体金纳米立方体实现了最佳的 SERS。通过增加固定化抗体来实现最佳的免疫分析反应效率。通过将两个不同的拉曼报告与两个指标相对应的窄波数结合,并建立一个计算 SERS 映射过程,无论人血清中存在多少种酶,都可以准确地检测其浓度,从而实现了多种同时检测策略。该 SERS 平台能够精确估计人血清中 AMI 的发作和进展时间,并使用便携式拉曼光谱仪实现了快速的 AMI 识别。该集成平台有望通过提供及时的治疗和观察,为急诊医学和法医学做出重大贡献。