Printed Nitrogen-Doped Reduced Graphene Oxide Based Sensor For Uric Acid Detection

Ammara Ejaz, Saoirse Dervin, R. Dahiya
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Abstract

This paper presents a flexible printed sensor for the accurate detection of uric acid (UA) by a simple chemical route synthesis. The sensitive nanomaterial (N-rGO) was prepared from the dual interaction of 1,4-xylenediamine (XDA) and Graphene oxide (GO) by covalent and $\pi-\pi$ stacking interaction. N-rGO was printed on a flexible polyvinyl chloride (PVC) substrate and analyzed in 0.1 M PBS, pH 7.4 electrolyte for different concentrations of UA. The sensor exhibited a wide segmented linear range of $3-40\times 10^{-5}M$ and $1-8{\mathrm {x}}10^{-3}{\mathrm {M}}$ with a sensitivity of 0.733 ${\mathrm {mAmM^{-1}}}$ and 0.0277 ${\mathrm {mAmM^{-1}}}$ respectively. The 0.0077% standard deviation from 30 consecutive measurements suggests that the sensor exhibits excellent reproducibility. Thus, the presented sensor is an alternative to currently available commercial bulky UA sensors.
印刷氮掺杂还原氧化石墨烯传感器用于尿酸检测
本文提出了一种柔性印刷传感器,用于通过简单的化学合成方法精确检测尿酸(UA)。以1,4-二甲二胺(XDA)和氧化石墨烯(GO)为原料,通过共价和$\pi-\pi$叠加相互作用制备了N-rGO敏感纳米材料。将N-rGO打印在柔性聚氯乙烯(PVC)衬底上,并在0.1 M PBS, pH 7.4电解质中分析不同浓度的UA。该传感器具有3-40 × 10^{-5}M$和1-8 × 10^{-3}{\mathrm {x}} $的宽分段线性范围,灵敏度分别为0.733 ${\mathrm {mAmM^{-1}} $和0.0277 ${\mathrm {mAmM^{-1}}}$。30次连续测量的0.0077%标准偏差表明该传感器具有良好的再现性。因此,所提出的传感器是目前可用的商用笨重UA传感器的替代方案。
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