A Wearable Electrochemical Biosensor for Salivary Detection of Periodontal Inflammation Biomarkers: Molecularly Imprinted Polymer Sensor with Deep Learning Integration
Jeon et al.
The finding, in our words
The authors developed a wearable mouthguard biosensor that detects salivary matrix metalloproteinase-8 for periodontal inflammation monitoring. Clinical testing showed the sensor had high specificity and reproducibility, while deep learning analysis improved diagnostic accuracy by identifying disease progression trends, offering a non-invasive approach for continuous oral health monitoring.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.
This study demonstrates that a memristor sensor can identify distinct electrical signatures in saliva and urine corresponding to different ovulation phases, suggesting a potential route for noninvasive home fertility monitoring.
This narrative review finds that saliva is best suited to repeated neuroendocrine and metabolic measurements during exercise, sweat is most mature for electrolyte and sweat-rate monitoring with wearable compatibility, and exhaled breath offers access to volatile metabolism but remains instrumentally demanding. Each matrix requires matching to a defined clinical or exercise question with matrix-specific validation before translational use.
Older adults with and without cognitive impairment were motivated to participate in longitudinal remote sleep research, finding it acceptable when device burden was low, usability high, and adequate support enabled routine integration. Varying cognitive task content and allowing timing flexibility reduced fatigue, while diverse recruitment remains needed for equitable representation in decentralised dementia trials.
Biswas et al., Journal of medical Internet research · source ↗
Wearable biochemical monitoring requires a complete measurement chain that integrates quality-controlled biofluid sampling, sensor fusion and metadata capture to convert raw sensor outputs into clinically valid digital biomarkers.