Progress in the Optical Sensing of Cardiac Biomarkers.
Cristina PolonschiiMonica PotaraMadalina IancuSorin DavidRoberta Maria BanciuAlina VasilescuSimion AstileanPublished in: Biosensors (2023)
Biomarkers play key roles in the diagnosis, risk assessment, treatment and supervision of cardiovascular diseases (CVD). Optical biosensors and assays are valuable analytical tools answering the need for fast and reliable measurements of biomarker levels. This review presents a survey of recent literature with a focus on the past 5 years. The data indicate continuing trends towards multiplexed, simpler, cheaper, faster and innovative sensing while newer tendencies concern minimizing the sample volume or using alternative sampling matrices such as saliva for less invasive assays. Utilizing the enzyme-mimicking activity of nanomaterials gained ground in comparison to their more traditional roles as signaling probes, immobilization supports for biomolecules and for signal amplification. The growing use of aptamers as replacements for antibodies prompted emerging applications of DNA amplification and editing techniques. Optical biosensors and assays were tested with larger sets of clinical samples and compared with the current standard methods. The ambitious goals on the horizon for CVD testing include the discovery and determination of relevant biomarkers with the help of artificial intelligence, more stable specific recognition elements for biomarkers and fast, cheap readers and disposable tests to facilitate rapid testing at home. As the field is progressing at an impressive pace, the opportunities for biosensors in the optical sensing of CVD biomarkers remain significant.
Keyphrases
- artificial intelligence
- nucleic acid
- high resolution
- risk assessment
- big data
- high speed
- machine learning
- small molecule
- crispr cas
- deep learning
- heart failure
- electronic health record
- single cell
- public health
- type diabetes
- coronary artery disease
- metabolic syndrome
- heavy metals
- cell free
- climate change
- solid phase extraction
- fluorescence imaging
- data analysis
- cardiovascular risk factors
- circulating tumor cells