In-silico investigation towards the non-invasive optical detection of blood lactate

Sci Rep. 2021 Jul 12;11(1):14274. doi: 10.1038/s41598-021-92803-x.

Abstract

This paper uses Monte Carlo simulations to investigate the interaction of short-wave infrared (SWIR) light with vascular tissue as a step toward the development of a non-invasive optical sensor for measuring blood lactate in humans. The primary focus of this work was to determine the optimal source-detector separation, penetration depth of light at SWIR wavelengths in tissue, and the optimal light power required for reliable detection of lactate. The investigation also focused on determining the non-linear variations in absorbance of lactate at a few select SWIR wavelengths. SWIR photons only penetrated 1.3 mm and did not travel beyond the hypodermal fat layer. The maximum output power was only 2.51% of the input power, demonstrating the need for a highly sensitive detection system. Simulations optimized a source-detector separation of 1 mm at 1684 nm for accurate measurement of lactate in blood.

MeSH terms

  • Adipose Tissue / metabolism
  • Adult
  • Computer Simulation
  • Female
  • Humans
  • Infrared Rays
  • Lactic Acid / blood*
  • Machine Learning
  • Male
  • Monte Carlo Method
  • Nonlinear Dynamics
  • Normal Distribution
  • Optics and Photonics
  • Protein Engineering / methods*
  • Spectroscopy, Near-Infrared
  • Young Adult

Substances

  • Lactic Acid