Development of EGFET-based ITO pH sensors using epoxy free membrane

In this work, a solid-state potentiometric pH sensor is designed by incorporating a thin film of Radio Frequency Magnetron Sputtered (RFMS) Titanium Nitride (TiN) working electrode and a commercial Ag|AgCl|KCl double junction reference electrode. The sensor shows a linear pH slope of −59.1 mV/pH, R2 = 0.9997, a hysteresis as low as 1.2 mV, and drift below 3.9 mV/h. In addition, the redox interference performance of TiN electrodes is compared with that of Iridium Oxide (IrO2) counterparts. Experimental results show −32 mV potential shift (E0 value) in 1 mM ascorbic acid (reducing agent) for TiN electrodes, and this is significantly lower than the −114 mV potential shift of IrO2 electrodes with sub-Nernstian sensitivity. These results are most encouraging and pave the way towards the development of miniaturized, cost-effective, and robust pH sensors for difficult matrices, such as wine and fresh orange juice.

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Mesoporous nanostructures-based fiber optic pH sensors: Synthesis, structure-tailoring, physiochemical and sensing stimuli

Materials Research Bulletin ◽

10.1016/j.materresbull.2021.111332 ◽

2021 ◽

Vol 140 ◽

pp. 111332

Author(s):

Adil Alshoaibi ◽

Shumaila Islam

Keyword(s):

Fiber Optic ◽

Ph Sensors ◽

Mesoporous Nanostructures

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Development of a Nitrazine Yellow-glycidyl methacrylate coating onto cotton fabric through thermal-induced radical polymerization reactions: a simple approach towards wearable pH sensors applications

Cellulose ◽

10.1007/s10570-021-03733-w ◽

2021 ◽

Author(s):

Valentina Trovato ◽

Alessandra Vitale ◽

Roberta Bongiovanni ◽

Ada Ferri ◽

Giuseppe Rosace ◽

...

Keyword(s):

Radical Polymerization ◽

Cotton Fabric ◽

Glycidyl Methacrylate ◽

Simple Approach ◽

Ph Sensors

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Miniaturized force-compensated hydrogel-based pH sensors

Sensors and Actuators B Chemical ◽

10.1016/j.snb.2017.09.183 ◽

2018 ◽

Vol 255 ◽

pp. 3495-3504 ◽

Cited By ~ 9

Author(s):

Kangfa Deng ◽

Christian Bellmann ◽

Yangxi Fu ◽

Mathias Rohn ◽

Margarita Guenther ◽

...

Keyword(s):

Ph Sensors

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Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates

Neural Computation ◽

10.1162/089976600300015835 ◽

2000 ◽

Vol 12 (2) ◽

pp. 367-384 ◽

Cited By ~ 89

Author(s):

Hans E. Plesser ◽

Wulfram Gerstner

Keyword(s):

Membrane Potential ◽

Diffusion Approximation ◽

Hazard Function ◽

Time Dependent ◽

Integrate And Fire ◽

Probability Current ◽

Periodic Input ◽

Stochastic Input ◽

Free Membrane ◽

Noise Models

We analyze the effect of noise in integrate-and-fire neurons driven by time-dependent input and compare the diffusion approximation for the membrane potential to escape noise. It is shown that for time-dependent subthreshold input, diffusive noise can be replaced by escape noise with a hazard function that has a gaussian dependence on the distance between the (noise-free) membrane voltage and threshold. The approximation is improved if we add to the hazard function a probability current proportional to the derivative of the voltage. Stochastic resonance in response to periodic input occurs in both noise models and exhibits similar characteristics.

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