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基于气体控制型生物燃料电池的“非破坏性”生物计算安全系统,有望用于智能医疗诊断。

'Non-destructive' biocomputing security system based on gas-controlled biofuel cell and potentially used for intelligent medical diagnostics.

机构信息

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, PR China.

出版信息

Bioinformatics. 2011 Feb 1;27(3):399-404. doi: 10.1093/bioinformatics/btq678. Epub 2010 Dec 9.

Abstract

MOTIVATION

Biofuel cells (BFCs) based on enzymes and microbes are the promising future alternative sources of sustainable electrical energy under mild conditions (i.e. ambient temperature and neutral pH). By combining the adaptive behavior of BFCs self-regulating energy release with the versatility of biocomputing, we construct a novel gas-controlled biocomputing security system, which could be used as the potential implantable self-powered and 'smart' medical system with the logic diagnosis aim.

RESULTS

We have demonstrated a biocomputing security system based on BFCs. Due to the unique 'RESET' reagent of N(2) applied in this work, the prepared biocomputing security system can be reset and cycled for a large number of times with no 'RESET' reagent-based 'waste'. This would be advantageous for the potential practical applications of such keypad lock as well as the development of biocomputing security devices. In order to validate the universality of the system and also to harvest energy directly from biofuels with enhanced power output, we replace the glucose with orange juice as the biofuel to operate BFCs-based biocomputing system, which also possesses the function of keypad lock. In addition, by introducing BFCs into the biocomputing security system, the adaptive behavior of the BFCs self-regulating the power release would be an immense advantage of such security keypad lock devices in potential self-powered implantable medical systems. The designed sequence gives the maximum power output and discriminate itself from the rest of the sequences. From this, we find that maximizing the dimensionless ratio of gap versus SD of the power output spectrum (a funnel in power outputs) gives the quantitative optimal design criterion. Therefore, our construction here may also provide a practical example and microscopic structural basis for mimicking the real biological network systems and bridge the gaps between the theoretical concepts and experiments important for biomolecular systems and synthetic biology.

摘要

动机

基于酶和微生物的生物燃料电池(BFC)是在温和条件下(即环境温度和中性 pH 值)可持续电能的有前途的未来替代能源。通过将 BFC 自我调节能量释放的自适应行为与生物计算的多功能性相结合,我们构建了一种新型的气体控制生物计算安全系统,该系统可用作具有逻辑诊断目的的潜在植入式自供电和“智能”医疗系统。

结果

我们已经展示了基于 BFC 的生物计算安全系统。由于这项工作中应用了 N(2)独特的“RESET”试剂,因此制备的生物计算安全系统可以重置并循环多次,而无需基于“RESET”试剂的“废物”。这对于这种键盘锁的潜在实际应用以及生物计算安全设备的发展将是有利的。为了验证系统的通用性,并直接从增强功率输出的生物燃料中获取能量,我们用橙汁代替葡萄糖作为生物燃料来操作基于 BFC 的生物计算系统,该系统也具有键盘锁的功能。此外,通过将 BFC 引入生物计算安全系统,BFC 自我调节功率释放的自适应行为将成为此类安全键盘锁设备在潜在自供电植入式医疗系统中的巨大优势。设计的序列给出了最大的功率输出,并将其与其他序列区分开来。由此,我们发现,使功率输出谱的间隙与 SD 的无量纲比最大化(功率输出中的漏斗)给出了定量的最佳设计标准。因此,我们的构建在这里也可能为模拟真实生物网络系统提供一个实际的例子和微观结构基础,并弥合理论概念和实验之间的差距,这些差距对于生物分子系统和合成生物学很重要。

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