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arXiv 2408.08017cond-mat.mes-hallcond-mat.dis-nnq-bio.BMquant-ph
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利用 Liouville 量子主方程计算生物电导

Computation of Biological Conductance with Liouville Quantum Master Equation

Eszter Papp, Gabor Vattay

AI总结:

提出结合 Liouville 量子主方程密度矩阵与分子电导现象学模型的新公式,解释蛋白质电导率对距离和温度的依赖性,并在胞外细胞色素纳米线上验证有效性,助力纳米生物电子器件设计。

摘要:

近期实验表明,单个蛋白质可表现出高电导率,该电导率在低温下保持有限值,随距离缓慢衰减,并呈现出包含高导电和强绝缘区域的丰富空间结构。在此,我们提出一种新公式,将模拟纳米器件中量子输运的 Liouville-Master Equation 密度矩阵与分子电子电导现象学模型相结合,能够解释蛋白质中观测到的电导率对距离和温度的依赖性。我们在实验中具有高导电性的胞外细胞色素纳米线上验证了其有效性,鉴于人们对其导电与绝缘部分排列的兴趣,通过计算并可视化其电子线路,这些纳米线成为展示我们新方法的理想对象。由于蛋白质及其纳米线在能源生产和传感等多种应用中展现出巨大潜力,我们的计算技术可加速纳米生物电子器件的设计。

英文摘要:

Recent experiments have revealed that single proteins can display high conductivity, which stays finite for low temperatures, decays slowly with distance, and exhibits a rich spatial structure featuring highly conducting and strongly insulating domains. Here, we intruduce a new formula by combining the density matrix of the Liouville-Master Equation simulating quantum transport in nanoscale devices, and the phenomenological model of electronic conductance through molecules, that can account for the observed distance- and temperature dependence of conductance in proteins. We demonstrate its efficacy on experimentally highly conductive extracellular cytochrome nanowires, which are good candidates to illustrate our new approach by calculating and visualizing their electronic wiring, given the interest in the arrangement of their conducting and insulating parts. As proteins and protein nanowires exhibit significant potential for diverse applications, including energy production and sensing, our computational technique can accelerate the design of nano-bioelectronic devices.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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