Development of Electrochemical Aptasensor for Lung Cancer Diagnostics in Human Blood; Sensors; Vol. 21, iss. 23
| Parent link: | Sensors Vol. 21, iss. 23.— 2021.— [7851, 20 p.] |
|---|---|
| مؤلف مشترك: | Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение материаловедения |
| مؤلفون آخرون: | Shabalina A. Anastasiia, Sharko D. Darya, Glazyrin Yu. Yury, Bolshevich E. Elena, Dubinina O. V. Oksana Valerievna, Kim A. Anastasiia, Veprintsev D. Dmitry, Lapin I. Ivan, Zamay G. Galina, Krat A. Alexey, Zamay S. Sergey, Svetlichnyi V. Valery, Kichkailo A. Anna, Berezovski M. Maxim |
| الملخص: | Title screen 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. |
| اللغة: | الإنجليزية |
| منشور في: |
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.3390/s21237851 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=667257 |
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