Pharmaceutical Sciences Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
Department of Surgery, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Anal Methods. 2023 Oct 26;15(41):5441-5458. doi: 10.1039/d3ay01414b.
Rapid and precise detection methods for the early-stage detection of cardiovascular irregularities are crucial to stopping and reducing their development. Cardiovascular diseases (CVDs) are the leading cause of death in the world. Hence, cardiac-related biomarkers are essential for monitoring and managing of process. The necessity for biomarker detection has significantly widened the field of biosensor development. Bio-sensing methods offer rapid detection, low cost, sensitivity, portability, and selectivity in the development of devices for biomarker detection. For the prediction of cardiovascular diseases, some biomarkers can be used, like C-reactive protein (CRP), troponin I or T, creatine kinase (CK-MB), B-type natriuretic peptide (BNP), myoglobin (Mb), suppression of tumorigenicity 2 protein (ST2) and galectin-3 (Gal3). In this review, recent research studies were covered for gaining insight into utilizing optical-based biosensors, including surface plasmon resonance (SPR), photonic crystals (PCs), fluorescence-based techniques, fiber optics, and also Raman spectroscopy biosensors for the ultrasensitive detection of cardiac biomarkers. The main goal of this review is to focus on the improvement of optical biosensors in the future for the diagnosis of heart diseases and to discuss how to enhance their properties for use in medicine. Some main data from each study reviewed are emphasized, including the CVD biomarkers and the response range of the optical-based devices and biosensors.
快速准确地检测心血管异常的早期阶段对于阻止和减少其发展至关重要。心血管疾病(CVDs)是世界上的主要死因。因此,心脏相关生物标志物对于监测和管理过程至关重要。对生物标志物检测的需求显著拓宽了生物传感器发展领域。生物传感方法在开发用于生物标志物检测的设备时具有快速检测、低成本、灵敏度、便携性和选择性。为了预测心血管疾病,可以使用一些生物标志物,如 C 反应蛋白(CRP)、肌钙蛋白 I 或 T、肌酸激酶(CK-MB)、B 型利钠肽(BNP)、肌红蛋白(Mb)、肿瘤抑制因子 2 蛋白(ST2)和半乳糖凝集素 3(Gal3)。在这篇综述中,涵盖了最近的研究工作,以深入了解利用基于光学的生物传感器,包括表面等离子体共振(SPR)、光子晶体(PCs)、荧光技术、光纤和拉曼光谱生物传感器,进行心脏生物标志物的超灵敏检测。本综述的主要目的是关注未来光学生物传感器在心脏病诊断中的改进,并讨论如何增强其性能以用于医学。强调了从每个已审查研究中获取的一些主要数据,包括 CVD 生物标志物和基于光学的设备和生物传感器的响应范围。