使用台式纳米粗化微结构电极进行生物电化学传感

Eduardo González-Martínez, David A. González-Martínez, Jose M. Moran-Mirabal
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摘要

要广泛应用床旁传感器,就必须采用具有成本效益且能保持高电活性表面积(ESA)的微型电极。最近开发出了具有成本效益的方法来制造具有超高ESA的纳米粗化微结构金电极(NR-MSEs)。本研究评估了 NR-MSE 在生物电化学酶传感器中的有效性。首先在 NR-MSE 上浇铸含有用金纳米粒子、葡萄糖氧化酶和戊二醛装饰的还原氧化石墨烯的溶液,然后浇铸含有二茂铁的溶液,再浇铸一层壳聚糖以防止传感器元件泄漏,从而构建出葡萄糖传感器。此外,还利用 Nafion 作为阳离子交换剂对聚苯胺进行电聚合,然后沉积含有尿素酶、牛血清白蛋白和戊二醛的复合材料,制成了尿素生物传感器。这两种生物传感器的定量限均低于生物液体中分析物的临床相关浓度,葡萄糖为 0.67 毫米,尿素为 1.70 毫米。传感器在复杂基质(葡萄糖为人血清和葡萄酒,尿素为人血清和尿液)中表现出卓越的性能,加标分析物的回收率在 92-108% 之间。预计 NR-MSE 将加快高灵敏度生物电化学传感器的开发,以便在资源有限的环境中使用。
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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Bioelectrochemical Sensing Using Benchtop Fabricated Nanoroughened Microstructured Electrodes

Cost-effective miniaturized electrodes that maintain a high electroactive surface area (ESA) are needed for the widespread deployment of point-of-care sensors. Cost-effective methods are recently developed to fabricate nanoroughened microstructured gold electrodes (NR-MSEs) with ultrahigh ESA. In this work, the effectiveness of NR-MSEs for bioelectrochemical enzymatic sensors is evaluated. A glucose sensor is constructed by first casting onto NR-MSEs a solution containing reduced graphene oxide decorated with gold nanoparticles, glucose oxidase, and glutaraldehyde, followed by a solution containing ferrocene, and a layer of chitosan to prevent the leakage of sensor components. A urea biosensor is also fabricated using Nafion as a cationic exchanger for the electropolymerization of polyaniline, followed by the deposition of a composite containing urease, bovine serum albumin, and glutaraldehyde. The limit of quantification for both biosensors is below clinically relevant concentrations of the analytes in biofluids, 0.67 mm for glucose and 1.70 mm for urea. The sensors exhibit excellent performance in complex matrixes (human blood serum and wine for glucose and human blood serum and urine for urea), with recovery for spiked analytes in the range of 92–108%. It is anticipated that NR-MSEs will expedite the development of highly sensitive bioelectrochemical sensors for use in resource-limited settings.

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