Non-Invasive Methods for Detecting Health of a Person Using Saliva Sample -A Review

Saliva has emerged as a promising non-invasive diagnostic medium, offering a convenient and cost-effective alternative to blood-based testing. Rich in proteins, nucleic acids, metabolites, hormones, and microbiota, saliva reflects a wide spectrum of physiological and pathological states, making it suitable for monitoring both systemic and oral health conditions. Recent advances in biosensing technologies have accelerated the utility of saliva in diagnostics by enabling rapid, sensitive, and real-time detection of biomarkers. Microfluidic devices, lab-on-a-chip systems, and nanomaterial-based sensors have enhanced the analytical sensitivity of saliva-based assays, overcoming challenges of low analyte concentration.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-19
DOI
https://doi.org/10.5281/zenodo.17161531
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Non-Invasive Methods for Detecting Health of a Person Using Saliva Sample -A Review

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Non-Invasive Methods for Detecting Health of a Person Using Saliva Sample -A Review

article en

Abstract

Saliva has emerged as a promising non-invasive diagnostic medium, offering a convenient and cost-effective alternative to blood-based testing. Rich in proteins, nucleic acids, metabolites, hormones, and microbiota, saliva reflects a wide spectrum of physiological and pathological states, making it suitable for monitoring both systemic and oral health conditions. Recent advances in biosensing technologies have accelerated the utility of saliva in diagnostics by enabling rapid, sensitive, and real-time detection of biomarkers. Microfluidic devices, lab-on-a-chip systems, and nanomaterial-based sensors have enhanced the analytical sensitivity of saliva-based assays, overcoming challenges of low analyte concentration.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 34%
Geochemistry and Geologic Mapping
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