Issue 41, 2023

Biomarkers and optical based biosensors in cardiac disease detection: early and accurate diagnosis

Abstract

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.

Graphical abstract: Biomarkers and optical based biosensors in cardiac disease detection: early and accurate diagnosis

Article information

Article type
Tutorial Review
Submitted
13 Aug. 2023
Accepted
21 Sept. 2023
First published
25 Sept. 2023

Anal. Methods, 2023,15, 5441-5458

Biomarkers and optical based biosensors in cardiac disease detection: early and accurate diagnosis

K. Nejati-Koshki, F. Fathi, A. Arabzadeh and A. Mohammadzadeh, Anal. Methods, 2023, 15, 5441 DOI: 10.1039/D3AY01414B

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