PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 13, 2026Bioscience Nanotechnology0 citationsOpen Access

Revolutionizing biosensing with nucleic acids: cutting-edge advances

ÇYÇiçek Dila YolcuScientific and Technological Research Council of TurkeyKÜKerem ÜstünkayaScientific and Technological Research Council of TurkeyHYHilal YazıcıScientific and Technological Research Council of Turkey

Key Points

  • This review aims to synthesize advancements in nucleic acid-based biosensing technologies and their implications for diagnostics and therapeutics.
  • Overview of recent technological advances in nucleic acid detection platforms including CRISPR-Cas and nanotechnology.
  • Discussion on applications of biosensors in genetic testing, cancer biomarker detection, and real-time monitoring.
  • Examination of challenges such as stability, reproducibility, and regulatory acceptance, alongside future directions in biosensing.
  • Demonstrated ultra-sensitive detection capabilities, including single-nucleotide resolution with CRISPR-Cas systems.
  • Identified gaps in current biosensors regarding manufacturing scalability and ethical frameworks for data privacy.
  • Outlined potential future innovations in biohybrid architectures and autonomous sensing devices.

Abstract

Nucleic acid-based biosensors are emerging as transformative platforms that bridge molecular precision with technological innovation, reshaping diagnostics, therapeutics, and environmental monitoring. Their programmability, high specificity, and compatibility with diverse transduction mechanisms position them as foundational tools for next-generation healthcare and biotechnology. Recent advances in nucleic acid detection platforms, particularly CRISPR-Cas systems, enabled ultra-sensitive and single-nucleotide resolution detection, while nanotechnology has provided powerful means of signal amplification, stabilization, and targeted delivery. These developments have accelerated applications ranging from rapid genetic testing and cancer biomarker detection to wearable and implantable biosensors for real-time monitoring in biofluids. Artificial intelligence further enhances biosensor performance by enabling error correction, predictive analytics, and integration into digital health ecosystems. Despite these advances, current biosensors face limitations in stability, reproducibility, large-scale manufacturing, and regulatory acceptance, underscoring the need for standardized protocols and ethical frameworks addressing data privacy and equitable access. Looking forward, the convergence of synthetic biology, biohybrid architectures, and self-powered sensing devices promises to expand biosensor capabilities beyond detection toward autonomous therapeutic and environmental interventions. This review synthesizes recent innovations in nucleic acid-based biosensing, highlights current challenges, and outlines future directions, offering a forward-looking perspective on how CRISPR-enabled, nanotechnology-enhanced, and AI-integrated biosensors are poised to reshape diagnostics and catalyze a new era of intelligent and patient-centered biotechnology.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yolcu et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf4aefaef96ed7f056e51https://doi.org/10.1186/s44331-026-00020-y
Ask AI
Helpful
Bookmark
Share
View Full Paper