Machine learning–guided scanning electrochemical microscopy on a calpastatin-modified ITO biosensor for label-free detection of Schistosoma haematobium eggs
Yazarlar (4)
Hilal Bedir
Kafkas Üniversitesi, Türkiye
Kafkas Üniversitesi, Türkiye
Doç. Dr. Mehmet EZER Kafkas Üniversitesi, Türkiye
Mükremin Özkan Arslan Kafkas Üniversitesi, Türkiye
Doç. Dr. Zihni Onur UYGUN Kafkas Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Microchemical Journal (Q1) | ||
| Dergi ISSN | 0026-265X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2026 |
| Cilt / Sayı / Sayfa | 220 / 1 / 116647– | DOI | 10.1016/j.microc.2025.116647 |
| Makale Linki | https://doi.org/10.1016/j.microc.2025.116647 | ||
| UAK Araştırma Alanları |
Üroloji
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| Özet |
| In this study, a calpastatin-modified indium–tin oxide (ITO) electrochemical biosensor coupled with machine-learning–guided scanning electrochemical microscopy (SECM) operated in feedback mode. Electrochemical impedance spectroscopy (EIS) provided quantitative calibration via charge-transfer resistance (Rct), while SECM produced spatial maps to localize individual eggs. A lightweight classifier analyzed survey tiles online and triggered event-zoom scans around putative targets. Analytical performance was evaluated in urine, including selectivity against common urinary interferents. Egg binding leads to increase in Rct with linear calibration from 2 to 400 eggs per 0.2 cm2 (log-linear R2 ≈ 0.993). LOD 1 egg and LOQ 2 eggs per 0.2 cm2, with repeatability CV typically 2–5 % across five replicates and close overlap of independent calibration runs (high reproducibility). Integrating a selective calpastatin … |
| Anahtar Kelimeler |
| Electrochemical biosensor | Impedance spectroscopy | Machine learning | Schistosoma haematobium | Schistosomiasis | SECM |
Science Direct
Machine learning–guided scanning electrochemical microscopy on a calpastatin-modified ITO biosensor for label-free detection of Schistosoma haematobium eggs
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |