Water, Collagen, and Lipid Content in the Human Skin and Muscles Assessed with Near-Infrared Diffuse Reflectance Spectroscopy and Multi-Spectral Optoacoustic Tomography.

Infrared spectroscopy can quantify individual body components such as lipids, water, and proteins, but extending it to a comprehensive assessment of overall body composition is hampered by high variability and optical heterogeneity of biological tissues. Here, a theoretical and experimental strategy merging multi-spectral optoacoustic tomography (MSOT) and diffuse reflectance spectroscopy (DRS) is introduced to characterize skin and subcutaneous tissue composition in the near-infrared range. Water, lipids, and collagen exhibit distinct absorption peaks, with lipids demonstrating significantly higher absorption than collagen at comparable mass concentrations.

Correction: Body composition analysis spatially resolved NIR spectroscopy with multifrequency bioimpedance precision.

Correction for 'Body composition analysis spatially resolved NIR spectroscopy with multifrequency bioimpedance precision' by Evgeny Shirshin , , 2024, , 175-178, https://doi.org/10.1039/D3AY01901B.

Body composition analysis spatially resolved NIR spectroscopy with multifrequency bioimpedance precision.

Near-infrared spectroscopy (NIRS) is often criticized due to its insufficient accuracy in determining body composition compared to the gold standard methods. In this work, we show that the use of multiple source-detector distances, as well as the simultaneous use of physiological and optical features, can significantly improve the accuracy of determination of fat and lean mass percentage in the human body using NIR spectroscopy. The study performed on the = 292 cohort revealed the mean absolute errors of 3.