神经元
信号(编程语言)
纳米技术
材料科学
化学
生物系统
计算机科学
生物
神经科学
程序设计语言
作者
Na Song,Jingui Chen,Xiang Ren,Dan Wu,Hongmin Ma,Faying Li,Huangxian Ju,Qin Wei
标识
DOI:10.1016/j.snb.2024.135593
摘要
Neuron-specific enolase (NSE), a marker of small cell lung cancer, is over-expressed in patient serum. To reduce the threat of lung cancer to human health and life, a rapid and effective method for the sensitive detection of NSE is necessary. In this study, a sandwich-type photoelectrochemical (PEC) immunosensor for the rapid and sensitive detection of NSE was constructed. To provide a powerful and stable photocurrent signal, the bandgap-matched CdS/NiCo2O4 was used as the substrate material. In addition, Au@CoFe2O4, which can form a step electron transfer mode with NiCo2O4, was proposed for the first time as a second antibody (Ab2) marker to amplify photoelectric signals. The constructed signal-amplified PEC immunosensor showed good linearity in the range of 1 pg/mL − 100 ng/mL with a detection limit as low as 0.24 pg/mL (S/N=3). The constructed PEC immunosensor has shown excellent stability, selectivity, reproducibility, and repeatability. It showed recoveries in the range of 98% − 105% and relative standard deviations (RSD) within 5% in sample analysis. The method proposed in this study is expected to be more widely used in the future for the detection of other disease markers as well as environmental pollutants.
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