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Related Experiment Video

Updated: Jan 19, 2026

µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo
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A Smart Tongue Depressor-Based Biosensor for Glucose.

Xiaojin Luo1, Weihua Shi1, Yiqun Liu1

  • 1College of Engineering, Peking University, Beijing 100871, China.

Sensors (Basel, Switzerland)
|September 11, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel tongue depressor biosensor for detecting glucose in saliva. This innovation offers a simple, rapid method for monitoring salivary biomarkers, potentially advancing healthcare diagnostics.

Keywords:
biosensorcarbon nanotubeenzymehydrogen peroxidesalivary glucosetongue depressor

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Area of Science:

  • Bioelectronic devices
  • Electrochemical biosensors
  • Salivary diagnostics

Background:

  • Oral fluid analysis presents opportunities for non-invasive healthcare monitoring.
  • Tongue depressors offer direct contact with saliva, a rich source of biomarkers.
  • Glucose is a key biomarker in saliva, relevant for diabetes management.

Purpose of the Study:

  • To develop and characterize a novel tongue depressor-based biosensor for glucose detection.
  • To evaluate the sensor's performance in both buffer solutions and human saliva.
  • To demonstrate the potential for distinguishing between healthy and diabetic salivary samples.

Main Methods:

  • Fabrication of a three-electrode electrochemical cell using printed carbon nanotubes (CNTs) and silver/silver chloride (Ag/AgCl).
  • Immobilization of glucose oxidase (GOD) enzyme onto the working electrode.
  • Electrochemical detection of glucose in phosphate buffer and human saliva samples.

Main Results:

  • The biosensor demonstrated excellent glucose detection performance with a wide detection range (7.3 μM to 6 mM).
  • Rapid glucose detection was achieved in approximately 3 minutes.
  • Clear differentiation was observed between healthy and simulated diabetic salivary samples.

Conclusions:

  • The tongue depressor-based biosensor is a viable platform for salivary glucose monitoring.
  • This technology holds promise for advancing non-invasive healthcare diagnostics and personalized monitoring.
  • Further development could expand its application to other salivary biomarkers.