Article3 Biotech2025
Python-driven impedance profiling on peptide-functionalized biosensor for detection of HIV gp41 envelope protein.
Article in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Ultrafast python-integrated single-entity electrochemical sensor for detecting glycated albumin.The FEBS journal · 2026Article
- Engineered Protein Modification: A New Paradigm for Enhancing Biosensing Sensitivity and Diagnostic Accuracy.Biosensors · 2025Review
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 ( Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-025-04400-8.
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Registered trials
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