College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China.
School of Chemistry and Chemical Engineering, Institute for Frontier Medical Technology, Shanghai 201620, China.
Molecules. 2022 Apr 7;27(8):2395. doi: 10.3390/molecules27082395.
Element doping and nanoparticle decoration of graphene is an effective strategy to fabricate biosensor electrodes for specific biomedical signal detections. In this study, a novel nonenzymatic glucose sensor electrode was developed with copper oxide (CuO) and boron-doped graphene oxide (B-GO), which was firstly used to reveal rhubarb extraction's inhibitive activity toward α-amylase. The 1-pyreneboronic acid (PBA)-GO-CuO nanocomposite was prepared by a hydrothermal method, and its successful boron doping was confirmed by transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy (XPS), in which the boron doping rate is unprecedentedly up to 9.6%. The CuO load reaches ~12.5 wt.%. Further electrochemical results showed that in the enlarged cyclic voltammograms diagram, the electron-deficient boron doping sites made it easier for the electron transfer in graphene, promoting the valence transition from CuO to the electrode surface. Moreover, the sensor platform was ultrasensitive to glucose with a detection limit of 0.7 μM and high sensitivity of 906 μA mM cm, ensuring the sensitive monitoring of enzyme activity. The inhibition rate of acarbose, a model inhibitor, is proportional to the logarithm of concentration in the range of 10-10 M with the correlation coefficient of R = 0.996, and an ultralow limit of detection of ~1 × 10 M by the developed method using the PBA-GO-CuO electrode. The inhibiting ability of Rhein-8-b-D-glucopyranoside, which is isolated from natural medicines, was also evaluated. The constructed sensor platform was proven to be sensitive and selective as well as cost-effective, facile, and reliable, making it promising as a candidate for α-amylase inhibitor screening.
石墨烯的元素掺杂和纳米粒子修饰是制备用于特定生物医学信号检测的生物传感器电极的有效策略。在这项研究中，首次使用氧化铜 (CuO) 和硼掺杂氧化石墨烯 (B-GO) 制备了新型非酶葡萄糖传感器电极，用于揭示大黄提取对α-淀粉酶的抑制活性。通过水热法制备了 1-芘硼酸 (PBA)-GO-CuO 纳米复合材料，通过透射电子显微镜 (TEM) 和 X 射线光电子能谱 (XPS) 证实了其成功的硼掺杂，其中硼掺杂率前所未有地高达 9.6%。CuO 的负载量达到约 12.5wt%。进一步的电化学结果表明，在放大的循环伏安图中，电子缺硼掺杂位点使石墨烯中的电子转移更容易，促进了从 CuO 到电极表面的价态转变。此外，该传感器平台对葡萄糖具有超灵敏性，检测限低至 0.7 μM，灵敏度高达 906 μA mM cm，可确保对酶活性进行灵敏监测。阿卡波糖（一种模型抑制剂）的抑制率与浓度的对数成正比，在 10-10 M 范围内的相关系数为 R = 0.996，使用 PBA-GO-CuO 电极开发的方法的检测限低至约 1×10 M。还评估了从天然药物中分离得到的rhein-8-b-D-葡萄糖苷的抑制能力。所构建的传感器平台具有灵敏度高、选择性好、成本效益高、简便可靠等特点，有望成为筛选α-淀粉酶抑制剂的候选方法。
