Silicon-based biosensor functionalised with carbon nanotubes to investigate neuronal electrical activity in pH-stimulated environment: a modelling approach

Cell Surface and Membrane Engineering: Emerging Technologies and Applications

“…Importantly, these neuronal networks that were grown from neural stem cells functioned similarly to those derived from primary neurons, thus providing a foundation for translation into use for biosensors. Once basic techniques are in place to construct neuronal networks, increased insight into their function is needed; one way to achieve this objective is through in silico modeling techniques that combine stochastic ion channel models with whole-network models that predict the bioelectrical response of neuronal networks [ 122 ]. Specifically, the model predicted how metabolic networks and electrical activity would respond to external signals and pH changes and thereby provide insight into how living cells can distinguish between a target signal and non-specific stimuli in a complex physiological milieu.…”

Parallel detection in liquid phase of N-channel MOSFET/ChemFET microdevices using saturation mode

“…Indeed, the use of an inert upper oxide layer allows a direct measurement and contact with cells while preventing any interfering electrochemical reactions or any biological troubles [12]. Thus, Fromherz et al have demonstrated that it can be possible to measure action potentials using MOSFET-based devices [13,14] and others works related to neural cells [15,16] or neural cultures [17] were successfully developed and presented in the literature. In this frame, one of the main interests is related to the monitoring of neurons network thanks to an integrated MOSFET and/or ChemFET array.…”

Modelado y simulación de la transmisión de señales eléctricas en la interfase :nanotubos de carbono - neurona para el diseño y la construcción de electrodos neuronales

“…Los resultados obtenidos muestran a los NTC como una interfaz eléctrica que tiene efectos tanto en la amplitud como en la forma de las señales registradas, además de que incrementan la eficacia de la transmisión de la señal neuronal. Posteriormente, ese mismo grupo agrega variaciones de temperatura .y pH del medio extracelular (Massobrio, Massobrio, Massobrio, & Massobrio, 2011) al mismo modelo y sus resultados muestran que ésta tiene un papel importante en la forma de las señales extracelulares adquiridas.…”