A Miniaturized MgO Multi-Sensor Device Based on A Flexible Printed Circuit Board for Glucose and pH Detection.

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Po-Hui Yang, Jyun-Ming Huang, Jung-Chuan Chou, Chih-Hsien Lai, Po-Yu Kuo, Yu-Hsun Nien, Wei-Shun Chen, Ming-Tai Hsu, Chi-Han Liao
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引用次数: 0

Abstract

This study proposed a miniaturized multi-sensor device prepared using a flexible printed circuit board (FPCB) and applied to detect glucose (Glu) and pH value, where both the readout circuit board and the sensors possess flexible characteristics. Additionally, this work implemented the potentiometric readout circuit. It integrated the die onto the readout circuit board using wire bonding techniques, while the area of the readout circuit board is 5.5 cm × 4.0 cm. The readout circuit board is equipped with a power supply, a readout circuit chip, and a multi-sensor. It is worth mentioning that this study designs the multi-sensor in a double-sided manner. The advantage of this design lies in the fact that both sides of the sensor can be utilized as a working electrode or reference electrode, providing convenience to users during measurement analysis. In addition, the magnesium oxide (MgO) multi-sensor is interconnected with the readout circuit board using slot type. This means the MgO multi-sensor can also be used as a disposable sensor. In this study, the multi-sensor system can measure hydrogen ions and Glu at the same time. The sensitivity of the two is 25.27 mV/pH and 16.78 mV/mM, respectively, and the linearity can reach 99.9 %.

基于柔性印刷电路板的微型氧化镁多传感器设备,用于检测葡萄糖和 pH 值。
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 Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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