Salivary nanobiosensors for oral diseases: from biomarker discovery to clinical translation in precision dentistry
INTRODUCTION: Current diagnostic approaches to oral disease have limitations, highlighting the need for rapid, sensitive, and accessible technologies for routine clinical use. Biosensors can evaluate a wide range of biomarkers in oral conditions, including periodontal diseases, oral cancer, dental caries, oral infections, and peri-implant diseases. AREAS COVERED: We present a clinical perspective on salivary biosensors for oral diseases, focusing on biomarker discovery and technological advances, with particular emphasis on challenges and solutions. Integrating biosensors with artificial intelligence, smartphones, and digital health platforms holds promise for saliva-based diagnostics in modern dentistry. These technologies support continuous monitoring through teledentistry, thereby facilitating precision dentistry. Bridging the gap between laboratory innovation, clinical validation, regulatory approval, and commercialization will be essential for the broader adoption of oral biosensors. EXPERT OPINION: The use of wearable intraoral and portable POC biosensors could increase their clinical applicability in the future. Current limitations include long sensor response times, the computational demands of data processing, and reduced model performance across diverse patient populations. Future efforts should focus on efficient on-device data analysis and on developing robust systems that incorporate advances in both material and digital technologies, while ensuring manufacturability, user comfort, and sustained patient compliance.
Authors
- Nooshin Mohtasham (ORCID: https://orcid.org/0000-0002-1262-4668)
- Camellia Kianbakht
- Maryam Ghelichli (ORCID: https://orcid.org/0000-0001-5125-3727)
- Amir Attaran Khorasani (ORCID: https://orcid.org/0009-0007-1492-0421)
- Jamshid Hashemi
- Kioumars Maraghehmoghaddam
Institutions
- Islamic Azad University, Tehran (IR)
- Mashhad University of Medical Sciences (IR)
- Golestan University of Medical Sciences (IR)
Publication Details
- Journal
- Expert Review of Molecular Diagnostics
- Published
- 2026-10-06
- DOI
- https://doi.org/10.1080/14737159.2026.2745670
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00