{"title":"Nanoengineered biosensors: Advancing coronary artery disease diagnosis with cutting-edge nanomaterials","authors":"Sopan N. Nangare, Namdeo R. Jadhav","doi":"10.1016/j.measurement.2025.118188","DOIUrl":null,"url":null,"abstract":"<div><div>Coronary artery disease (CAD) is a highly prevalent cardiovascular disorder worldwide, underscoring the urgent need for effective diagnostic strategies. Early detection of CAD biomarkers is critical to mitigate mortality rates. Current diagnostic methods face limitations such as low sensitivity, high costs, long processing times, poor selectivity, reliance on contrast agents, and procedural invasiveness. Nanoengineered biosensors have emerged as a transformative alternative, enabling highly sensitive, selective, rapid, cost-effective, label-free, and minimally/non-invasive <em>in vitro</em> detection of CAD biomarkers. This review focuses on the latest advancements in nano-biosensors for early CAD diagnosis. It examines the global prevalence of CAD, discusses key CAD biomarkers, and summarizes the types of biosensors and nanomaterials used in their design. The article highlights customized biosensor platforms developed by researchers, emphasizing their performance in detecting CAD biomarkers in clinical samples (for example: serum, plasma, etc.). As a result, these biosensors demonstrate excellent sensitivity, selectivity, wide linear ranges, low detection limits, stability, and reproducibility. While challenges remain, the progress in nano-biosensor technology holds significant promise for early CAD biomarker detection. Future applications of these advanced biosensors could revolutionize CAD management by enabling timely intervention, ultimately reducing the burden of cardiovascular diseases (CVDs).</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"256 ","pages":"Article 118188"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224125015477","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Coronary artery disease (CAD) is a highly prevalent cardiovascular disorder worldwide, underscoring the urgent need for effective diagnostic strategies. Early detection of CAD biomarkers is critical to mitigate mortality rates. Current diagnostic methods face limitations such as low sensitivity, high costs, long processing times, poor selectivity, reliance on contrast agents, and procedural invasiveness. Nanoengineered biosensors have emerged as a transformative alternative, enabling highly sensitive, selective, rapid, cost-effective, label-free, and minimally/non-invasive in vitro detection of CAD biomarkers. This review focuses on the latest advancements in nano-biosensors for early CAD diagnosis. It examines the global prevalence of CAD, discusses key CAD biomarkers, and summarizes the types of biosensors and nanomaterials used in their design. The article highlights customized biosensor platforms developed by researchers, emphasizing their performance in detecting CAD biomarkers in clinical samples (for example: serum, plasma, etc.). As a result, these biosensors demonstrate excellent sensitivity, selectivity, wide linear ranges, low detection limits, stability, and reproducibility. While challenges remain, the progress in nano-biosensor technology holds significant promise for early CAD biomarker detection. Future applications of these advanced biosensors could revolutionize CAD management by enabling timely intervention, ultimately reducing the burden of cardiovascular diseases (CVDs).
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.