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A Wearable Nutrition Tracker.

Jiangqi Zhao1,2,3, Hnin Yin Yin Nyein1,2,3, Lei Hou1,3

  • 1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, 94720, USA.

Advanced Materials (Deerfield Beach, Fla.)
|November 23, 2020
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Summary
This summary is machine-generated.

This study presents a wearable sensor for non-invasively measuring vitamin C in sweat and urine. This innovation enables convenient nutritional monitoring and dietary intervention through accessible biofluid analysis.

Keywords:
flexible sensorsnutritional assessmentsweat sensorswearable electronics

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Nutritional Science

Background:

  • Nutrients are vital for human health, necessitating accurate monitoring of their levels.
  • Sweat offers a promising, non-invasive biofluid for assessing nutrient status.
  • Current methods for nutrient tracking can be invasive or inconvenient.

Purpose of the Study:

  • To develop a wearable electrochemical sensor for selective vitamin C detection in biofluids.
  • To assess the sensor's performance in terms of linearity, selectivity, and stability.
  • To explore the correlation between dietary vitamin C intake and its concentration in sweat, urine, and blood.

Main Methods:

  • Fabrication of a wearable electrochemical sensor using gold nanostructures, a conductive polymer, and an enzyme-immobilized membrane.
  • Detection of vitamin C concentration in sweat, urine, and blood samples.
  • Monitoring of vitamin C levels following varying dietary intakes.
  • Conducting a longitudinal study to correlate sweat and urine vitamin C with blood levels.

Main Results:

  • The developed sensor demonstrated high selectivity, wide detection linearity, and long-term stability for vitamin C.
  • Temporal changes in vitamin C levels were successfully monitored in biofluids.
  • Vitamin C levels in sweat and urine showed correlation with dietary intake and blood levels.
  • The sensor facilitated exploration of vitamin C dynamics in response to diet.

Conclusions:

  • Wearable sensor-based analysis of sweat and urine is a viable method for routine nutritional monitoring.
  • This technology supports applications in nutritional screening and personalized dietary interventions.
  • Non-invasive monitoring of vitamin C through sweat and urine offers a convenient approach to health assessment.