用于生物医学应用的分散式电化学生物传感器:从实验室到家庭

Pramod K. Kalambate , Vipin Kumar , Dhanjai
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引用次数: 0

摘要

集成电化学生物传感器代表了生物医学领域的新一代传感工具,提供紧凑、便携、可穿戴和可植入的设备。传感器制造方法、可扩展材料合成、微电子、柔性电子和无线通信的进步,使生物传感设备从传统的以医院为中心的系统发展到以家庭为中心的解决方案,适合非专家使用,以分析疾病的早期迹象。尽管取得了这些进步,但关键的挑战仍然存在,包括可扩展性、材料耐用性、电源管理以及将生物传感器组件无缝集成到用户友好平台中。这些技术的转化涉及克服这些挑战的策略,例如开发具有成本效益的制造方法和优化实际应用的设备设计。此外,这些设备与物联网(IoT)、医疗物联网(IoMT)、人工智能(AI)和机器学习(ML)算法的集成,为医疗保健管理、疾病预后和患者护理提供了突破性的技术解决方案。然而,必须解决数据安全漏洞、隐私问题和监管挑战等潜在风险,以确保这些技术的安全和道德部署。在此,我们深入分析了传统电化学生物传感器向小型化集成设备的演变,重点关注它们在更好的医疗保健管理方面的潜力,并强调了相关的技术、监管和伦理挑战。我们还重点介绍了第六代传感技术的关键方面。此外,还对物联网和人工智能辅助技术的作用进行了批判性讨论,介绍了它们在生物医学领域带来的变革性好处和风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized electrochemical biosensors for biomedical applications: From lab to home
Integrated electrochemical biosensors represent the new generation of sensing tools in the biomedical field, delivering compact-sized, portable, wearable, and implantable devices. Advances in sensor fabrication methods, scalable material synthesis, microelectronics, flexible electronics, and wireless communication have enabled the evolution of biosensing devices from traditional hospital-centric systems to home-centric solutions, suitable for use by non-experts to analyze early signs of diseases. Despite these advancements, key challenges remain, including scalability, material durability, power management, and seamless integration of biosensor components into user-friendly platforms. The translation of these technologies involves strategies to overcome these challenges, such as developing cost-effective manufacturing methods and optimizing device design for real-world applications. Furthermore, the integration of these devices with the Internet-of-Things (IoT), Internet-of-Medical-Things (IoMT), artificial intelligence (AI), and machine learning (ML) algorithms has demonstrated breakthrough technological solutions for healthcare management, disease prognosis, and patient care. However, potential risks such as data security vulnerabilities, privacy concerns, and regulatory challenges must be addressed to ensure safe and ethical deployment of these technologies. Herein, we provide an in-depth analysis of the evolution of conventional electrochemical biosensors into miniaturized, integrated devices, focusing on their potential for better healthcare management and highlighting associated technical, regulatory, and ethical challenges. We also highlight key aspects of 6th generation sensing technology. Additionally, the role of IoT and AI-assisted technologies is critically discussed, presenting both their transformative benefits and the risks they pose in the biomedical field.
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