Ma Song, Yang Qiaochun, Zhang Wenwen, Xiao Gang, Wang Mingliang, Cheng Linyang, Zhou Xin, Zhao Meng, Ji Jing, Zhang Jun, Yue Zhao
Department of Microelectronics, Nankai University, Tianjin, 300350, China.
Department of Life Science, Nankai University, Tianjin, 300071, China.
Talanta. 2020 Nov 1;219:121290. doi: 10.1016/j.talanta.2020.121290. Epub 2020 Jun 19.
Parkinson's disease (PD) is a common neurological disease caused by nerve cells degradation which leads to extremely low level of dopamine (DA) in patients. Therefore, ultrasensitive DA detection is particularly important for the assessment and treatment of Parkinson's patients. In this research, photoelectrochemical (PEC) sensors based on Ag(SR) nanoclusters (AgNCs) with 5-mercapto-2-nitrobenzoic acid (MNBA) ligands were first developed for ultrasensitive and selective detection of DA. Then, hybrid nanomaterials by introducing graphene oxide (GO) and silver nanoparticles (AgNPs) into AgNCs were used to enhance sensing properties. AgNCs/AgNPs/GO based PEC sensors achieved high sensitivity (7.476 nA/μM) and low limit of detection (LOD, S/N = 3, 53 nM) in the linear range 0.16-6 μM DA concentration. Besides DA, PD causes the concentration change of other analytes, such as glutathione (GSH). Multichannel detections of different analytes can provide more information in studying PD. Therefore, carbon dots (CDs) based PEC sensors were designed and achieved high sensing performances on GSH detection. Then, AgNCs/AgNPs/GO and CDs based PEC sensors were combined and extended into light-addressable sensors for multichannel detections of DA and GSH. Algorithms were used to solve interference problems to improve the measurement accuracy of DA and GSH in complex solution. Finally, PD biological model samples from mice were measured by light-addressable sensors. The relationships between the DA and GSH concentration and the PD stage were proved. Our designed light-addressable sensors exhibited advantages of multichannel detection, high sensitivity, fast response and so on. In the future, it can be expanded to detect more biological molecules to provide more information on studying PD.
帕金森病(PD)是一种常见的神经疾病,由神经细胞退化引起,导致患者体内多巴胺(DA)水平极低。因此,超灵敏检测多巴胺对于帕金森病患者的评估和治疗尤为重要。在本研究中,首次开发了基于带有5-巯基-2-硝基苯甲酸(MNBA)配体的Ag(SR)纳米簇(AgNCs)的光电化学(PEC)传感器,用于超灵敏和选择性检测多巴胺。然后,通过将氧化石墨烯(GO)和银纳米颗粒(AgNPs)引入AgNCs中来制备混合纳米材料,以增强传感性能。基于AgNCs/AgNPs/GO的PEC传感器在0.16 - 6 μM多巴胺浓度的线性范围内实现了高灵敏度(7.476 nA/μM)和低检测限(LOD,S/N = 3,53 nM)。除了多巴胺,帕金森病还会导致其他分析物浓度的变化,如谷胱甘肽(GSH)。对不同分析物进行多通道检测可以为研究帕金森病提供更多信息。因此,设计了基于碳点(CDs)的PEC传感器,并在谷胱甘肽检测方面实现了高传感性能。然后,将基于AgNCs/AgNPs/GO和CDs的PEC传感器组合并扩展为光寻址传感器,用于多巴胺和谷胱甘肽的多通道检测。使用算法解决干扰问题,以提高复杂溶液中多巴胺和谷胱甘肽的测量精度。最后,用光寻址传感器对来自小鼠的帕金森病生物模型样本进行测量。证实了多巴胺和谷胱甘肽浓度与帕金森病阶段之间的关系。我们设计的光寻址传感器具有多通道检测、高灵敏度、快速响应等优点。未来,它可以扩展到检测更多生物分子,为研究帕金森病提供更多信息。