2021
DOI: 10.1109/jsen.2020.3038036
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General Model and Equivalent Circuit for the Chemical Noise Spectrum Associated to Surface Charge Fluctuation in Potentiometric Sensors

Abstract: This paper firstly reports a general and powerful approach to evaluate the power spectral density (PSD) of the surface charge fluctuations, so-called "chemical noise", from a generic set of reactions at the sensing surface of potentiometric sensors such as, for instance, Ion-Sensitive Field Effect Transistors (ISFETs). Starting from the master equation, the spectral noise signature of a reaction set is derived as a function of the reaction kinetic parameters and of the interface concentration of the ionic spec… Show more

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Cited by 8 publications
(12 citation statements)
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“…Changes of the pH buffer cause shifts of V TH , due to surface charge developed at the sensing layer surface. The pH-induced V TH modulation in ISFETs is usually described using the first order SB model, whose kinetic form is illustrated in Figure 6 [ 20 ]. The model considers at least two chained surface reactions involving the hydrogen ions at the surface (with concentration ) and the exposed surface hydroxyl groups in the complexation states MO − , MOH, and MOH 2 + .…”
Section: Methodsmentioning
confidence: 99%
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“…Changes of the pH buffer cause shifts of V TH , due to surface charge developed at the sensing layer surface. The pH-induced V TH modulation in ISFETs is usually described using the first order SB model, whose kinetic form is illustrated in Figure 6 [ 20 ]. The model considers at least two chained surface reactions involving the hydrogen ions at the surface (with concentration ) and the exposed surface hydroxyl groups in the complexation states MO − , MOH, and MOH 2 + .…”
Section: Methodsmentioning
confidence: 99%
“…The model in Figure 6 a is, thus, calibrated by comparison with the current waveforms extracted when switching the pH. From Reference [ 20 ], the master equation of the SB model, shown in Figure 6 a, reads whereas the net surface charge density for identical sites per unit of surface area is: …”
Section: Methodsmentioning
confidence: 99%
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