ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Optimization of SWCNT-FET Biosensors by Aptamer Engineering and Toehold-Mediated Strand Displacement.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Selective and Fast Cortisol Sensing in Human Saliva Using Graphene-Based On-Chip Field-Effect Transistors.Small science · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
Aptamer-based single-walled carbon nanotube (SWCNT) field-effect transistor (FET) biosensors provide a compact, label-free, and sensitive platform for real-time biomarker detection. To enhance device performance, we employed a truncated DNA aptamer (CSS.3_cut3) with improved conformational switching upon cortisol binding, boosting the sensitivity of SWCNT-FET biosensors. We further optimized the functionalization using a toehold-mediated strand displacement (TMSD) strategy to dynamically integrate the aptamer onto SWCNTs in solution, simplifying the fabrication process and increasing the sensitivity. Interestingly, introducing a partially complementary protection strand during TMSD assembly resulted in bistable, two-level signal outputs upon cortisol sensing, contrasting with the gradual response of unprotected sensors. This effect likely stems from the competition between aptamer-target binding and residual hybridization, modulating signal dynamics via tuneable electrostatic gating. These results underscore the promise of aptamer engineering and DNA nanotechnology for developing high-performance biosensors with programmable behavior, offering new avenues for real-time sensing, dynamic molecular recognition, and integrated diagnostic technologies.
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Registered trials
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