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
Cite
@article{arxiv.2207.09254,
title = {Harnessing thermal fluctuations for selectivity gain},
author = {A. Vidybida},
journal= {arXiv preprint arXiv:2207.09254},
year = {2022}
}