Flexible Laser-Induced Graphene Microelectrochemical Sensor on Sustainable Cellulosic Paper Substrate for Sensitive Detection of Uric Acid and Tyrosine in Sweat

基质(水族馆) 检出限 石墨烯 化学 选择性 抗坏血酸 尿酸 电化学气体传感器 电化学 生物传感器 线性范围 材料科学 酪氨酸 化学工程 乳酸 分析化学(期刊) 尿酸氧化酶 纳米技术
作者
Ali Ghavipanjeh,Sadegh Sadeghzadeh,Seyed Morteza Naghib,Kheibar Dashtian
出处
期刊:Langmuir [American Chemical Society]
卷期号:42 (9): 7027-7038 被引量:10
标识
DOI:10.1021/acs.langmuir.5c03922
摘要

Graphene-based flexible electrochemical sweat sensors have garnered significant attention in both medical and athletic application fields due to their ability to provide critical insights into the body’s physiological condition. Herein, we employed a green laser-induced graphene (LIG) technique using a CO 2 laser on a cellulose-based paper substrate to fabricate a microelectrochemical sensor capable of detecting tyrosine and uric acid in sweat samples. Electrochemical analysis determined the heterogeneous electron transfer (HET) rate constant ( k 0 ) to be 4 × 10 –3 cm/s and confirmed that the LIG sensor maintained stability across various pH levels. For tyrosine detection, the sensor exhibited a broad linear detection range from 30 to 1000 μM, with a limit of detection (LOD) of 12.4 μM and a sensitivity of approximately 9 mAM –1 . For uric acid, the working range extended from 5 to 100 μM, with an LOD of 2.9 μM and a sensitivity of around 1 mAM –1 . These results demonstrate performance comparable to or surpassing existing flexible graphene-based sensors. Selectivity tests confirmed the sensor’s ability to distinguish tyrosine and uric acid in the presence of common sweat interferents such as glucose, lactic acid, and ascorbic acid. Additionally, the mechanism of LIG formation on the cellulosic substrate was validated using molecular dynamics simulations with the ReaxFF force field, showing strong agreement with experimental data. The developed microelectrochemical sensor exhibited reliable and effective performance, underscoring its potential for sustainable, noninvasive health monitoring, and clinical diagnostics.
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