| Yazarlar (2) |
Dr. Öğr. Üyesi Mehmet EZER
Türkiye |
Doç. Dr. Zihni Onur UYGUN
Kafkas Üniversitesi, Türkiye |
| Özet |
| This study presents the first label-free impedimetric biosensor for the detection of HIV envelope protein gp41 using antimicrobial peptides (AMPs) as biorecognition receptors. The biosensor interface was enhanced with thiolated polystyrene and gold nanospheres to ensure stable peptide immobilization and resist nonspecific adsorption. Electrochemical impedance spectroscopy (EIS) confirmed each step of the electrode modification, while surface morphology was validated via scanning electron microscopy. A Python-based deep learning algorithm was applied to impedance data for efficient curve fitting and regression modeling. The biosensor demonstrated high sensitivity, with a linear detection range of 5--600 pg/mL, a regression coefficient (R 2) of 0.9946, a limit of detection (LOD) of 1.62 pg/mL, and a limit of quantification (LOQ) of 4.91 pg/mL. Chronoimpedimetric (CI) detection revealed that gp41 binding ... |
| Anahtar Kelimeler |
| Biosensor | HIV | Gp41 | Impedance | Python |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | 3 Biotech |
| Dergi ISSN | 2190-572X Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q2 |
| Makale Dili | Türkçe |
| Basım Tarihi | 06-2025 |
| Cilt No | 15 |
| Sayı | 7 |
| Sayfalar | 1 / 9 |
| Doi Numarası | 10.1007/s13205-025-04400-8 |
| Makale Linki | https://doi.org/10.1007/s13205-025-04400-8 |
| Atıf Sayıları |
