Python-driven impedance profiling on peptide-functionalized biosensor for detection of HIV gp41 envelope protein
Yazarlar (2)
Doç. Dr. Mehmet EZER Kafkas Üniversitesi, Türkiye
Doç. Dr. Zihni Onur UYGUN Kafkas Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | 3 Biotech (Q3) | ||
| Dergi ISSN | 2190-572X Dergi Bilgileri (2025) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2025 |
| Cilt / Sayı / Sayfa | 15 / 7 / 229–0 | DOI | 10.1007/s13205-025-04400-8 |
| Makale Linki | https://doi.org/10.1007/s13205-025-04400-8 | ||
| UAK Araştırma Alanları |
Üroloji
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| 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 (R2) 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 | Gp41 | HIV | Impedance | Python |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 2 |
| Scopus | 3 |
| Google Scholar | 3 |