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Validity and Practical Application of Muscle Oxygenation Monitoring for Identifying Maximal Fat Oxidation in Cyclists
Ander Romarate1,2, Aitor Pinedo-Jauregi2,3,4, Andri Feldmann5
1Emen4sport, Leioa, Spain.
European Journal of Sport Science
|July 22, 2025
Summary
Near-infrared spectroscopy (NIRS) cannot precisely pinpoint maximal fat oxidation (MFO) in cyclists. However, this noninvasive method may effectively identify the general MFO zone, aiding training programming.
Area of Science:
- Exercise Physiology
- Sports Science
- Biomedical Engineering
Background:
- Accurate identification of physiological milestones like maximal fat oxidation (MFO) is crucial for optimizing cycling performance and training.
- Traditional methods for determining MFO can be complex and costly, necessitating simpler, noninvasive alternatives.
- Near-infrared spectroscopy (NIRS) offers a noninvasive approach to measure physiological variables, showing potential for practical application in sports science.
Purpose of the Study:
- To evaluate the validity of a muscular oxygen saturation visualization methodology using NIRS for identifying the precise MFO point in trained cyclists.
- To compare NIRS-derived MFO detection with traditional gas analysis methods in a controlled laboratory setting.
Main Methods:
- Twenty-two recreational endurance-trained cyclists underwent submaximal and maximal exercise tests on a single day.
- Muscular oxygen saturation was monitored using NIRS technology.
- Data from the NIRS visualization methodology were compared against a criterion gas analyzer to assess validity for MFO detection.
Main Results:
- The NIRS visualization methodology did not accurately identify the precise point of maximal fat oxidation (MFO) (bias = 90 ± 218 s, LOA = 429 s).
- However, the technique showed potential for identifying the MFO zone, with acceptable biases for heart rate (4.7 ± 11.9 bpm) but less so for oxygen uptake (1.49 ± 5.7 mL/kg/min) and power output (19.5 ± 31.2 W).
- Concordance coefficients indicated limited agreement for oxygen uptake (0.243) and power output (0.170), suggesting NIRS is not suitable for precise MFO detection but may indicate a broader zone.
Conclusions:
- The NIRS device and visualization methodology employed in this study are not sufficiently accurate for detecting the precise point of maximal fat oxidation (MFO) in trained cyclists.
- Despite limitations in pinpointing MFO, the NIRS technique may serve as a valid tool for identifying the general MFO zone during exercise.
- Further research is warranted to refine NIRS methodologies for more accurate assessment of metabolic parameters like MFO in athletic populations.

