Preparation of a Nonenzymatic Potentiometric Lactic Acid Biosensor Modified by g-C₃N₄/ZnS Composite Materials on a SnO₂-Coated Flexible Printed Circuit Board

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2025-01-09 DOI:10.1109/JSEN.2024.3525078
Yu-Hsun Nien;Xin-Han Chen;Jung-Chuan Chou;Chih-Hsien Lai;Po-Yu Kuo;Po-Hui Yang;Jyun-Ming Huang;Wei-Shun Chen;Yu-Wei Chen;Yi-Wen Huang
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Abstract

In this study, to enhance sensor performance a nonenzymatic lactic acid (LA) sensor based on SnO2 was developed and modified via graphitic carbon nitride (g-C3N4)/ZnS composite material to enhance its sensing performance. The modified sensor generates a voltage through the reaction between LA and the material, and its performance is characterized using a voltage-time measurement system. Specific evaluation criteria include average sensitivity, linearity, repeatability, response time, selectivity, drift effect, and limit of detection (LOD). Experimental evidence shows that compared to the unmodified SnO2 variant, the g-C3N4/ZnS-modified sensor exhibits superior performance in LA concentrations ranging from 1 to 9 mM, with an average sensitivity of 8.02 ± 0.12 mV/mM and with a linearity of 0.999. This modification significantly enhances sensor performance.
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g-C₃N₄/ZnS复合材料修饰的非酶促电位乳酸生物传感器在SnO₂涂层柔性印刷电路板上的制备
为了提高传感器的性能,本研究开发了一种基于SnO2的非酶乳酸(LA)传感器,并通过石墨氮化碳(g-C3N4)/ZnS复合材料对其进行改性,以提高其传感性能。改进后的传感器通过LA与材料之间的反应产生电压,并使用电压-时间测量系统对其性能进行表征。具体的评价标准包括平均灵敏度、线性度、可重复性、响应时间、选择性、漂移效应和检出限(LOD)。实验结果表明,在1 ~ 9 mM的LA浓度范围内,g-C3N4/ zns修饰后的传感器具有较好的灵敏度,平均灵敏度为8.02±0.12 mV/mM,线性度为0.999。这种修改显著提高了传感器的性能。
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来源期刊
IEEE Sensors Journal
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
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