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具有激光诱导石墨烯电极的微型化电化学发光平台用于多重生物传感。

Miniaturized Electrochemiluminescence Platform With Laser-Induced Graphene Electrodes for Multiple Biosensing.

作者信息

Bhaiyya Manish, Rewatkar Prakash, Salve Mary, Pattnaik Prasant Kumar, Goel Sanket

出版信息

IEEE Trans Nanobioscience. 2021 Jan;20(1):79-85. doi: 10.1109/TNB.2020.3036642. Epub 2020 Dec 30.

Abstract

The present work demonstrates a miniaturized 3D printed Electrochemiluminescence (ECL) sensing platform with Laser-Induced Graphene (LIG) based Open Bipolar Electrodes (OBEs). To fabricate OBEs, polyimide (PI) substrate has been used as it provides properties like low-cost fabrication, high selectivity, great stability, easy reproducibility, cost-effectiveness and rapid prototyping. Moreover, graphene can be created on PI in a single step during the ablation of the CO laser. Android smartphone was efficiently used to sense ECL signals as well as to drive the required voltage to the OBEs. With the optimized parameters, the imaging system was successfully used to detect Hydrogen Peroxide (H O) with a linear range of 1 [Formula: see text] to [Formula: see text] and detection of limit (LOD) [Formula: see text] (R = 0.9449, n = 3). In addition, the detection of glucose has been carried out with a linear range of [Formula: see text] to [Formula: see text] and detection of limit (LOD) [Formula: see text] (R = 0.9875, n = 3). Further, real samples were tested to manifest the workability of the platform for random samples. Overall, the developed low-cost, rapidly realized and the miniaturized system can be used in many biomedical applications, environmental monitoring and point-of-care testings.

摘要

本工作展示了一种基于激光诱导石墨烯(LIG)的开放式双极电极(OBE)的小型化3D打印电化学发光(ECL)传感平台。为了制造OBE,使用了聚酰亚胺(PI)基板,因为它具有低成本制造、高选择性、高稳定性、易于重现、成本效益高和快速成型等特性。此外,在CO激光烧蚀过程中,可以一步在PI上生成石墨烯。安卓智能手机被有效地用于感应ECL信号以及向OBE驱动所需电压。通过优化参数,成像系统成功用于检测过氧化氢(H₂O₂),线性范围为1[公式:见原文]至[公式:见原文],检测限(LOD)为[公式:见原文](R = 0.9449,n = 3)。此外,还进行了葡萄糖检测,线性范围为[公式:见原文]至[公式:见原文],检测限(LOD)为[公式:见原文](R = 0.9875,n = 3)。此外,还对实际样品进行了测试,以证明该平台对随机样品的适用性。总体而言,所开发的低成本、快速实现的小型化系统可用于许多生物医学应用、环境监测和即时检测。

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