Design of a Novel Very-Low Input Capacitance High-Bandwidth Buffer for a Biomass Sensor

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2024-11-13 DOI:10.1109/JSEN.2024.3486534

Fernando Amor;Marcelo A. Haberman;Martín Jamilis;Federico N. Guerrero;Hernán De Battista

引用次数: 0

Abstract

In this work, a high-bandwidth very-low input capacitance original topology buffer was designed. The proposed buffer circuitry is conceived as part of a novel noninvasive nonimmersed real-time dielectric spectroscopy biomass sensor. Both a circuital-based simulation model and an experimental printed circuit board (PCB) prototype were implemented and successfully tested. The buffer effective parasitic input capacitance was lowered to a 2% of its original value by means of power supply bootstrapping. This improvement will allow performing differential voltage measurements with the required accuracy and without compromising the necessary bandwidth.

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一种新型极低输入电容高带宽生物质传感器缓冲器的设计

本文设计了一种高带宽极低输入电容的原始拓扑缓冲器。所提出的缓冲电路被认为是一种新型非侵入式非浸入式实时介电光谱生物质传感器的一部分。基于电路的仿真模型和实验印刷电路板（PCB）原型实现并成功测试。采用电源自举的方法，使缓冲器的有效寄生输入电容降低到原值的2%。这种改进将允许以所需的精度执行差分电压测量，而不会影响必要的带宽。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice