Modeling of Amperometric Immunosensor for CMOS Integration

A circuit model of the Amperometric immunosensor for use in the biosensor system-on-chip simulation is proposed in this paper.The model parameters are extracted with several methods and verified by MATLAB and SPICE simulation.A CMOS potentiostat circuit required for conditioning the Amperometric immunosensor is also included in the circuit model.The mean square error norm of the simulated curve against the measured one is 8.65×10^(-17) The whole circuit has been fabricated in a 0.35μm CMOS process.

A Full CMOS Integration Including ISFET Microsensors and Interface Circuit for Biochemical Applications

One of today's challenges is the integration of ISFETs in chemical and biochemical Microsystems.This article presents a full integration of ISFET chip containing the ISFET/REFET(reference FET) pair,ISFET/REFET amplifiers,bias current generator,as well as a reference electrode structure,all integrated on the same chip based on CMOS technology.The sensor chip was fabricated in a standard 0.35μm CMOS process(Chartered Semiconductor,Singapore).The extra post processing steps have been developed and added for depositing membranes.Finally,the pH response of the integrated sensor was measured with the interface circuit.

Single-chip 3D electric field microsensor

This paper presents a single-chip 3D electric field microsensor, in which a sensing element is set at the center to detect the Z-axis component of an electrostatic field. Two pairs of sensing elements with the same structure are arranged in a cross-like configuration to measure the X- and Y-axis electrostatic field components. An in-plane rotary mechanism is used in the microsensor to detect the X-, Y-, and Z-axis electrostatic field components simultaneously. The proposed microsensor is compact and presents high integration. The microsensor is fabricated through a MetalMUMPS process. Experimental results show that in the range of 0-50 kV/m, the linearity errors of the microsensor are within 5.5%, and the total measure- ment errors of the three electrostatic field components are less than 14.04%.

Exploiting articulatory features for pitch accent detection

Articulatory features describe how articulators are involved in making sounds.Speakers often use a more exaggerated way to pronounce accented phonemes,so articulatory features can be helpful in pitch accent detection.Instead of using the actual articulatory features obtained by direct measurement of articulators,we use the posterior probabilities produced by multi-layer perceptrons(MLPs) as articulatory features.The inputs of MLPs are frame-level acoustic features pre-processed using the split temporal context-2(STC-2) approach.The outputs are the posterior probabilities of a set of articulatory attributes.These posterior probabilities are averaged piecewise within the range of syllables and eventually act as syllable-level articulatory features.This work is the first to introduce articulatory features into pitch accent detection.Using the articulatory features extracted in this way,together with other traditional acoustic features,can improve the accuracy of pitch accent detection by about 2%.