集成生物传感功能的数字医疗设备的出现

IF 3.5 Q2 CHEMISTRY, ANALYTICAL Sensors & diagnostics Pub Date : 2024-04-26 DOI:10.1039/D4SD00017J
Anshuman Mishra, Pravin Kumar Singh, Nidhi Chauhan, Souradeep Roy, Ayushi Tiwari, Shaivya Gupta, Aanshi Tiwari, Santanu Patra, Trupti R. Das, Prashant Mishra, Ahmad Soltani Nejad, Yogesh Kumar Shukla, Utkarsh Jain and Ashutosh Tiwari
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摘要

数字生物传感器有助于进行实时、远程、精确的疾病检测和生化分析。生物传感方法的最新趋势集中在微型化、自动化和多路复用方面。生物传感器的微型化促进了便携、灵活和可穿戴设备的发展,这些设备可用于床旁诊断和持续健康监测。此外,数字自动化实现了样品的高通量筛选,缩短了分析时间,降低了分析成本,而集成复用技术可同时检测多种分析物,提高了分析的效率和准确性。本文探讨了为数字医疗开发微型化生物传感程序的最新科学进展。数字设备的进步也促进了集成生物传感技术的发展。使用智能手机、智能手表和其他数字设备作为生物传感器的读出平台,使生物传感变得更加容易获得和用户友好。人工智能和机器学习算法的发展使复杂的生物传感器数据得以解读和分析。本综述将生物传感与当前最先进的诊断技术进行了比较。将生物传感器与人工智能纳入物联网平台后,生物传感器在未来的个性化医疗保健领域将具有巨大的潜力和市场价值。本文根据各种设备的性能和影响,系统地讨论了传感方法、设计、兼容性、功能、技术集成和发展。本综述的主要目的是从技术进步和转化智慧的角度进行全面讨论。采用数字技术的智能护理点设备对于实时医疗保健管理至关重要。未来医疗保健行业的愿景包含了一系列生物传感方法,为市场提供了新的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Emergence of integrated biosensing-enabled digital healthcare devices

Digital biosensors facilitate real-time, remote, precise disease detection and biochemical analysis. Recent trends in biosensing methods have focused on miniaturization, automation, and multiplexing. The miniaturization of biosensors has led to the development of portable, flexible, and wearable devices that can be used for point-of-care diagnostics and continuous health monitoring. Furthermore, digital automation has enabled the high-throughput screening of samples, reducing the time and cost of analysis, while integrated multiplexing allows for the simultaneous detection of multiple analytes, increasing the efficiency and accuracy of analysis. This article examines recent scientific advances in developing miniaturized biosensing procedures for digital healthcare. Advancements in digital devices have also contributed to the development of integrated biosensing. The use of smartphones, smartwatches, and other digital devices as readout platforms for biosensors has made biosensing more accessible and user-friendly. The development of artificial intelligence and machine learning algorithms has allowed for the interpretation and analysis of complex biosensor data. This review compares biosensing with current state-of-the-art diagnostic technology. After incorporating biosensors with artificial intelligence in an internet of things platform, they will have enormous potential and market value in the future for personalized healthcare. Based on various device performances and impacts, sensing methods, designs, compatibilities, functionalities, technology integrations, and developments are systematically discussed in this article. The primary objective of this review was to present a comprehensive discussion from the point of view of both technological advancements and translational wisdom. It is essential to have intelligent point-of-care devices with digital technologies for real-time healthcare management. The vision of the future healthcare industry encompasses a range of biosensing methods that offer a glimpse into new possibilities for the market.

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Back cover Pursuing theranostics: a multimodal architecture approach. A review on Ti3C2Tx based nanocomposites for the electrochemical sensing of clinically relevant biomarkers Back cover Introduction to Supramolecular Sensors: From Molecules to Materials
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