Saliva-Based Biosensors: Noninvasive Monitoring Tool for Clinical Diagnostics
Open accessAbstract
Saliva is increasingly recognised as an attractive diagnostic fluid. The presence of various disease signalling salivary biomarkers that accurately reflect normal and disease states in humans and the sampling benefits compared to blood sampling are some of the reasons for this recognition. This explains the burgeoning research field in assay developments and technological advancements for the detection of various salivary biomarkers to improve clinical diagnosis, management, and treatment. This paper reviews the significance of salivary biomarkers for clinical diagnosis and therapeutic applications, with focus on the technologies and biosensing platforms that have been reported for screening these biomarkers.
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Saliva is a complex oral fluid, produced mainly by the parotid gland and composed of numerous constituents, such as metabolites, enzymes, hormones, proteins, microorganisms and ions.
“Saliva is a complex oral fluid, which is produced mainly by the parotid gland and is composed of numerous constituents, such as metabolites, enzymes, hormones, proteins, microorganisms and ions125,135-140.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [140]
Several saliva biomarkers (e.g., drug, hormones, metabolites or antibodies) have been used in clinical settings as they offer meaningful diagnostic information.
“Several of these saliva biomarkers (e.g., drug, hormones, metabolites or antibodies) have been used in clinical settings as they offer meaningful diagnostic information140-144.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [140]
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- Authors
- Malon, R. S. P., Sadir, S., Balakrishnan, M., & Córcoles, E. P.
- Affiliations
- University of Technology Malaysia (MY)
- Faculty of Biosciences and Medical Engineering (FBME), Universiti Teknologi Malaysia, Building VO1, Block A, Level 5, Room 27, 81310 Skudai, Johor, Malaysia
- Corresponding author
- Córcoles, Emma P.
- Venue
- BioMed Research International
- Publisher
- Wiley
- Published
- 2014
- Volume
- 2014
- Pages
- 1-20
- ISSN
- 1110-7243 (ISSN-L)
- 2314-6133
- 2314-6141
- PMC
- PMC4172994
- OpenAlex
- W2153028986
- Cited by
- 260
- References
- 157
- Citations by year
- 2026: 18 · 2025: 38 · 2024: 37 · 2023: 31 · 2022: 32 · 2021: 29 · 2020: 26 · 2019: 17 · 2018: 13 · 2017: 9 · 2016: 6 · 2015: 4
- FWCI
- 0.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BioMed Research International (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Universiti Teknologi Malaysia (01H78)
- Ministry of Higher Education, Malaysia (01H78)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Health Sciences › Medicine › Physiology › Salivary Gland Disorders and Functions
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- salivary biomarkers, non-invasive diagnosis, diagnosis, biosensor platform, biomarker detection, therapeutic applications, saliva sampling
- MeSH terms
- Animals, Humans, Monitoring, Physiologic, Saliva, Salivary Gland Neoplasms, Biomarkers, Tumor, Biosensing Techniques, Diagnostic Techniques and Procedures
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