基于酶催化反应的生物计算、生物传感和生物驱动

S. Mailloux, E. Katz
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引用次数: 10

摘要

摘要:本文的重点是利用酶生物催化系统设计和实现智能“感知和治疗”系统。这些系统被用于执行生物分子计算,它们与信号响应材料功能集成,旨在实现其生物医学用途。电极接口,功能化的信号响应材料,在生物计算,生物传感,特别是,触发释放的生物活性物质中找到应用。“感知和治疗”系统需要多个组件协同工作,包括生物传感器、执行器和过滤器,以实现闭环和自主操作。一般来说,开发生化逻辑网络是为了处理单一生化或化学输入以及多个输入,响应非生理(用于概念演示目的)和生理信号(用于损伤检测或诊断)。利用铁交联海藻酸盐作为响应材料,包埋生物分子,响应物理、化学或生化信号,实现药物模拟释放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biocomputing, Biosensing and Bioactuation Based on Enzyme Biocatalyzed Reactions
Abstract The focus of this review paper is on the design and implementation of smart ‘Sense-and-Treat’ systems using enzyme-biocatalytic systems. These systems were used to perform biomolecular computing and they were functionally integrated with signal responsive materials aiming towards their biomedical use. Electrode interfaces, functionalized with signal-responsive materials, find applications in biocomputing, biosensing, and, specifically, triggered release of bioactive substances. ‘Sense-and-Treat’ systems require multiple components working together, including biosensors, actuators, and filters, in order to achieve closed-loop and autonomous operation. In general, biochemical logic networks were developed to process single biochemical or chemical inputs as well as multiple inputs, responding to nonphysiological (for concept demonstration purposes) and physiological signals (for injury detection or diagnosis). Actuation of drug-mimicking release was performed using the responsive material iron-cross-linked alginate with entrapped biomolecular species, responding to physical, chemical or biochemical signals.
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