论文标题
利用热波动以提高选择性
Harnessing thermal fluctuations for selectivity gain
论文作者
论文摘要
将嗅觉受体神经元（ORN）的选择性与其受体蛋白（R）的选择性与涉及气味结合释放过程的波动相比。结合释放过程被建模为N Bernoulli试验，其中n是每个ORN的R总数。引入R和ORN的无量纲选择性相互介绍。发现ORN的选择性可能比其受体蛋白的选择性高得多。这种效果取决于浓度。讨论了生物传感器的可能应用。 URL：https：//ieeexplore.ieee.org/stamp/stamp/stamp.jsp?tp=&arnumber=9789678&isnumber=9789552
Selectivity of olfactory receptor neuron (ORN) is compared with that of its receptor proteins (R) with fluctuations of odor binding-releasing process taken into account. The binding-releasing process is modeled as N Bernoulli trials, where N is the total number of R per ORN. Dimensionless selectivities for both R and ORN are introduced and compared with each other. It is found the ORN's selectivity can be much higher then that of its receptor proteins. This effect is concentration-dependent. Possible application for biosensors is discussed. URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9789678&isnumber=9789552
