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感知未来——生物传感器前沿:探索分类、原理及最新进展

Sensing the Future-Frontiers in Biosensors: Exploring Classifications, Principles, and Recent Advances.

作者信息

Manoharan Nair Sudha Kumari Sumitha, Thankappan Suryabai Xavier

机构信息

Centre for Advanced Materials Research, Department of Physics, Government College for Women, Thiruvananthapuram, University of Kerala, Kerala 695014, India.

出版信息

ACS Omega. 2024 Dec 6;9(50):48918-48987. doi: 10.1021/acsomega.4c07991. eCollection 2024 Dec 17.

Abstract

Biosensors are transforming healthcare by delivering swift, precise, and economical diagnostic solutions. These analytical instruments combine biological indicators with physical transducers to identify and quantify biomarkers, thereby improving illness detection, management, and patient surveillance. Biosensors are widely utilized in healthcare for the diagnosis of chronic and infectious diseases, tailored treatment, and real-time health monitoring. This thorough overview examines several categories of biosensors and their uses in the detection of numerous biomarkers, including glucose, proteins, nucleic acids, and infections. Biosensors are commonly classified based on the type of transducer employed or the specific biorecognition element utilized. This review introduces a novel classification based on substrate morphology, offering a comprehensive perspective on biosensor categorization. Considerable emphasis is placed on the advancement of point-of-care biosensors, facilitating decentralized diagnostics and alleviating the strain on centralized healthcare systems. Recent advancements in nanotechnology have significantly improved the sensitivity, selectivity, and downsizing of biosensors, rendering them more efficient and accessible. The study examines problems such as stability, reproducibility, and regulatory approval that must be addressed to enable the widespread implementation of biosensors in clinical environments. The study examines the amalgamation of biosensors with wearable devices and smartphones, emphasizing the prospects for ongoing health surveillance and individualized medical care. This viewpoint clarifies the distinct types of biosensors and their particular roles, together with recent developments in the "smart biosensor" sector, facilitated by artificial intelligence and the Internet of Medical Things (IoMT). This novel approach seeks to deliver a comprehensive evaluation of the present condition of biosensor technology in healthcare, recent developments, and prospective paths, emphasizing their significance in influencing the future of medical diagnostics and patient care.

摘要

生物传感器正在通过提供快速、精确且经济的诊断解决方案来变革医疗保健领域。这些分析仪器将生物指示剂与物理换能器相结合,以识别和量化生物标志物,从而改善疾病检测、管理和患者监测。生物传感器在医疗保健中被广泛用于诊断慢性和传染病、定制治疗以及实时健康监测。本全面综述探讨了几类生物传感器及其在检测多种生物标志物(包括葡萄糖、蛋白质、核酸和感染源)方面的应用。生物传感器通常根据所采用的换能器类型或所使用的特定生物识别元件进行分类。本综述引入了一种基于底物形态的新颖分类方法,为生物传感器分类提供了全面的视角。重点显著放在了即时检测生物传感器的发展上,促进了分散式诊断并减轻了集中式医疗系统的压力。纳米技术的最新进展显著提高了生物传感器的灵敏度、选择性和小型化程度,使其更高效且更易于使用。该研究探讨了稳定性、可重复性和监管批准等必须解决的问题,以使生物传感器能够在临床环境中广泛应用。该研究考察了生物传感器与可穿戴设备和智能手机的融合,强调了持续健康监测和个性化医疗的前景。这一观点阐明了不同类型的生物传感器及其特定作用,以及由人工智能和医疗物联网(IoMT)推动的“智能生物传感器”领域的最新发展。这种新颖的方法旨在对医疗保健领域生物传感器技术的现状、最新进展和未来路径进行全面评估,强调它们在影响医疗诊断和患者护理未来方面的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f275/11656264/177d76c39452/ao4c07991_0001.jpg

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