Sensors (Dec 2020)

Breath Acetone Measurement-Based Prediction of Exercise-Induced Energy and Substrate Expenditure

  • Min Jae Kim,
  • Sung Hyun Hong,
  • Wonhee Cho,
  • Dong-Hyuk Park,
  • Eun-Byeol Lee,
  • Yoonkyung Song,
  • Yong-Sahm Choe,
  • Jun Ho Lee,
  • Yeonji Jang,
  • Wooyoung Lee,
  • Justin Y. Jeon

DOI
https://doi.org/10.3390/s20236878
Journal volume & issue
Vol. 20, no. 23
p. 6878

Abstract

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The purpose of our study was to validate a newly developed breath acetone (BrAce) analyzer, and to explore if BrAce could predict aerobic exercise-related substrate use. Six healthy men ran on a treadmill at 70% of maximal oxygen consumption (VO2max) for 1 h after two days of a low-carbohydrate diet. BrAce and blood ketone (acetoacetate (ACAC), beta-hydroxybutyrate (BOHB)) levels were measured at baseline and at different time points of post-exercise. BrAce values were validated against blood ketones and respiratory exchange ratio (RER). Our results showed that BrAce was moderately correlated with BOHB (r = 0.68, p r = 0.37, p r = 0.60, p r = 0.67, p 2max were added to the prediction model in addition to BrAce, R2 values increased up to 0.972 at rest and 0.917 at 1 h after exercise. In conclusion, BrAce level measurements of our BrAce analyzer reflect blood ketone levels and the device could potentially predict fat oxidation.

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