ArticleScience advances2025
A tube-based biosensor for DNA and RNA detection.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Rapid-Forming Conductive Antifouling Hydrogel Coating Enables Magnetically Guided Electrochemical POCT for Direct at‑Home Blood Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Dual-Channel Synergistic Ultrasensitive Biosensor for Tumor Liquid Biopsy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Programmable CRISPR-mediated gold nanoparticle adhesion for visual colorimetric detection.Biosensors & bioelectronics · 2026Article
- Next-Generation Nucleic Acid-Based Diagnostics for Viral Pathogens: Lessons Learned from the SARS-CoV-2 Pandemic.Microorganisms · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Affordable, sensitive, and simplified DNA/RNA detection is important for disease diagnosis and enables timely medical intervention measures. Usually, high sensitivity depends on expensive instruments and sophisticated procedures, making sensitivity contradict affordability and simplicity. Here, we proposed an ultra-sensitive single-tube biosensor (USTB) where users can visually detect targets by observing the liquid motion state in a glass tube. The developed instrument-free USTB performed low-cost ($0.1), fast (1 min), and ultra-sensitive detection for both the DNA/RNA fragments (≤1 aM) and the clinical positive samples, which commercial reverse transcription polymerase chain reaction (RT-PCR) and PCR kits could not effectively recognize. Furthermore, USTB is promising to be easily applied to detect other-type biomarkers by the designed smart sensing unit.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.