Siberian Physical-Technical Institute, Tomsk State University, 634050 Tomsk, Russia.
Federal Research Center, Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Science, 660036 Krasnoyarsk, Russia.
Sensors (Basel). 2021 Nov 25;21(23):7851. doi: 10.3390/s21237851.
We describe the preparation and characterization of an aptamer-based electrochemical sensor to lung cancer tumor markers in human blood. The highly reproducible aptamer sensing layer with a high density (up to 70% coverage) on the gold electrode was made. Electrochemical methods and confocal laser scanning microscopy were used to study the stability of the aptamer layer structure and binding ability. A new blocking agent, a thiolated oligonucleotide with an unrelated sequence, was applied to fill the aptamer layer's defects. Electrochemical aptasensor signal processing was enhanced using deep learning and computer simulation of the experimental data array. It was found that the combinations (coupled and tripled) of cyclic voltammogram features allowed for distinguishing between the samples from lung cancer patients and healthy candidates with a mean accuracy of 0.73. The capacitive component from the non-Faradic electrochemical impedance spectroscopy data indicated the tumor marker's presence in a sample. These findings allowed for the creation of highly informative aptasensors for early lung cancer diagnostics.
我们描述了一种基于适体的电化学传感器的制备和特性,用于检测人血液中的肺癌肿瘤标志物。在金电极上制备了具有高覆盖率(高达 70%)的高重现性适体传感层。电化学方法和共焦激光扫描显微镜用于研究适体层结构的稳定性和结合能力。一种新的封闭剂,即具有无关序列的巯基化寡核苷酸,被应用于填补适体层的缺陷。通过深度学习和对实验数据数组的计算机模拟,增强了电化学适体传感器信号处理。结果发现,循环伏安特征的组合(偶联和串联)允许区分来自肺癌患者和健康候选者的样本,平均准确率为 0.73。来自非 Faradic 电化学阻抗谱数据的电容分量表明样品中存在肿瘤标志物。这些发现使得能够为早期肺癌诊断创建高度信息丰富的适体传感器。