基于微流控的细菌分子计算芯片
Microfluidic-based Bacterial Molecular Computing on a Chip
摘要：
基于工程细菌的生物计算系统可以为环境监测和代谢疾病检测带来新的工具。在本文中，我们提出了一个细菌分子计算芯片（BMCoC）使用微流控和电化学传感技术。计算可以灵活地集成到芯片中，但我们专注于工程细菌AND布尔逻辑门和开关传感器，这些传感器产生二次信号来改变pH值和溶解氧浓度。我们提出了一个原型与实验结果表明，电化学传感器可以检测小的pH值和溶解氧浓度的变化所产生的工程菌群的分子信号。此外，我们提出了一个理论模型分析的BMCoC计算可靠性时，受到不必要的影响，即，分子信号延迟和噪声，以及基于标准或盲检测器的电化学传感器阈值设置。我们的数值分析发现，产生延迟和分子输出信号浓度的变化会影响AND逻辑门和ON-OFF开关的计算可靠性。与传感系统集成的逻辑门的合成工程细胞的分子通信可以导致一种新的生物芯片，可用于许多诊断应用。
英文摘要：
Biocomputing systems based on engineered bacteria can lead to novel tools for environmental monitoring and detection of metabolic diseases. In this paper, we propose a Bacterial Molecular Computing on a Chip (BMCoC) using microfluidic and electrochemical sensing technologies. The computing can be flexibly integrated into the chip, but we focus on engineered bacterial AND Boolean logic gate and ON-OFF switch sensors that produces secondary signals to change the pH and dissolved oxygen concentrations. We present a prototype with experimental results that shows the electrochemical sensors can detect small pH and dissolved oxygen concentration changes created by the engineered bacterial populations' molecular signals. Additionally, we present a theoretical model analysis of the BMCoC computation reliability when subjected to unwanted effects, i.e., molecular signal delays and noise, and electrochemical sensors threshold settings that are based on either standard or blind detectors. Our numerical analysis found that the variations in the production delay and the molecular output signal concentration can impact on the computation reliability for the AND logic gate and ON-OFF switch. The molecular communications of synthetic engineered cells for logic gates integrated with sensing systems can lead to a new breed of biochips that can be used for numerous diagnostic applications.
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