Abstract

Cardiovascular disease is a major global health issue. In particular, acute myocardial infarction (AMI) requires urgent attention and early diagnosis. The use of point-of-care diagnostics has resulted in the improved management of cardiovascular disease, but a major drawback is that the performance of POC devices does not rival that of central laboratory tests. Recently, many studies and advances have been made in the field of surface-enhanced Raman scattering (SERS), including the development of POC biosensors that utilize this detection method. Here, we present a review of the strengths and limitations of these emerging SERS-based biosensors for AMI diagnosis. The ability of SERS to multiplex sensing against existing POC detection methods are compared and discussed. Furthermore, SERS calibration-free methods that have recently been explored to minimize the inconvenience and eliminate the limitations caused by the limited linear range and interassay differences found in the calibration curves are outlined. In addition, the incorporation of artificial intelligence (AI) in SERS techniques to promote multivariate analysis and enhance diagnostic accuracy are discussed. The future prospects for SERS-based POC devices that include wearable POC SERS devices toward predictive, personalized medicine following the Fourth Industrial Revolution are proposed.

摘要

心血管疾病是全球主要的健康问题。特别是，急性心肌梗塞（AMI）需要紧急关注和早期诊断。即时诊断程序的使用已改善了心血管疾病的管理，但是主要缺点是POC设备的性能无法与中央实验室测试相媲美。近来，在表面增强拉曼散射（SERS）领域已经取得了许多研究和进展，包括开发了利用这种检测方法的POC生物传感器。在这里，我们介绍了这些新兴的基于SERS的用于AMI诊断的生物传感器的优势和局限性。比较和讨论了SERS针对现有POC检测方法进行多路传感的能力。此外，概述了最近探索的SERS免校准方法，以最大程度地减少不便并消除由有限的线性范围和校准曲线中发现的测定间差异引起的限制。此外，还讨论了在SERS技术中引入人工智能（AI）以促进多变量分析并提高诊断准确性。提出了基于SERS的POC设备的未来前景，其中包括可穿戴式POC SERS设备，将在第四次工业革命后朝着预测性，个性化医学的方向发展。讨论了将人工智能（AI）纳入SERS技术以促进多元分析和提高诊断准确性。提出了基于SERS的POC设备的未来前景，其中包括可穿戴式POC SERS设备，将在第四次工业革命后朝着预测性，个性化医学的方向发展。讨论了将人工智能（AI）纳入SERS技术以促进多元分析和提高诊断准确性。提出了基于SERS的POC设备的未来前景，其中包括可穿戴式POC SERS设备，将在第四次工业革命后朝着预测性，个性化医学的方向发展。