Sensors and “The internet of biochemical things”

L. Florea, D. Diamond
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Abstract

In this perspective article, we consider the pathway biochemical sensing will take as the huge businesses underpinning Big Data and the Internet of Things seek new layers of highly valuable information to integrate into our increasingly digitised world. Up to now, the complexity of biochemical sensing has limited its inclusion in a manner similar to more reliable and lower cost technologies based on physical transducers. At its core, this complexity arises from the fundamental need for biochemical sensors to interact intimately at the molecular level with one or more specific components (analytes) in samples that are often highly complex and hostile to the sensors. This limits the functional lifetime of biochemical sensors to at best days or weeks or most commonly single use, making long-term embedded use-models developed for Internet of Things applications beyond reach. Nevertheless, even single use sensors can lead to “big data”, if used in large enough scale (e.g., COVID-19 diagnostics), and progress in continuous is beginning to make headway towards longer-term use models in health and environmental monitoring. New concepts exploiting advanced materials and biomimetic concepts offer opportunities to further extend the lifetime of biochemical sensing devices.
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传感器和“生物化学物联网”
在这篇前瞻性文章中,我们考虑了生物化学传感将采取的途径,因为支撑大数据和物联网的巨大业务寻求新的高价值信息层,以整合到我们日益数字化的世界中。到目前为止,生物化学传感的复杂性限制了其以类似于基于物理传感器的更可靠和更低成本技术的方式纳入。在其核心,这种复杂性源于生化传感器在分子水平上与样品中的一种或多种特定组分(分析物)密切相互作用的基本需求,这些样品通常高度复杂且对传感器不利。这将生化传感器的功能寿命限制在最好的几天或几周,或者最常见的单次使用,使得为物联网应用开发的长期嵌入式使用模型遥不可及。然而,即使是一次性使用的传感器,如果使用规模足够大(例如,COVID-19诊断),也可能产生“大数据”,并且在健康和环境监测方面,连续使用的进展开始朝着长期使用模式取得进展。利用先进材料和仿生概念的新概念为进一步延长生化传感设备的使用寿命提供了机会。
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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