Harnessing thermal fluctuations for selectivity gain
A. Vidybida
TL;DR
This paper demonstrates that thermal fluctuations can significantly enhance the selectivity of olfactory receptor neurons compared to individual receptor proteins, with potential applications in biosensor design.
Contribution
It introduces a model comparing receptor protein and neuron selectivity considering fluctuations, revealing the neuron’s higher selectivity and its dependence on concentration.
Findings
ORN selectivity can surpass receptor protein selectivity
Selectivity enhancement is concentration-dependent
Modeling as Bernoulli trials explains fluctuation effects
Abstract
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
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