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NMR Spectrometers: Resolution and Error Correction

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When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...

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Updated: Jul 7, 2026

Evaluation of Fluid Overload by Bioelectrical Impedance Vectorial Analysis

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Published on: August 17, 2022

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

Evgeny Shirshin^1,2, Boris Yakimov^1,3, Denis Davydov^1,3

¹Faculty of Physics, M. V. Lomonosov Moscow State University, 1-2 Leninskie Gory, 119991 Moscow, Russia. eshirshin@gmail.com.

Analytical Methods : Advancing Methods and Applications

|February 9, 2024

Summary

This correction clarifies body composition analysis using near-infrared (NIR) spectroscopy and multifrequency bioimpedance. The study refines precision in body fat and muscle mass measurements.

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Area of Science:

Analytical Chemistry
Biomedical Engineering
Spectroscopy

Context:

Accurate body composition analysis is crucial for health and performance monitoring.
Existing methods like bioimpedance analysis (BIA) have limitations in precision.
Near-infrared (NIR) spectroscopy offers a non-invasive approach to assess body tissues.

Purpose:

To correct and clarify findings presented in a previous publication on body composition analysis.
To enhance the understanding of spatially resolved NIR spectroscopy combined with multifrequency BIA.
To report precise measurements of body composition parameters.

Summary:

This correction addresses specific details in the methodology and results of the original study.
It refines the understanding of how spatially resolved NIR spectroscopy and multifrequency BIA achieve precise body composition analysis.
The corrected information ensures greater accuracy in assessing parameters like body fat and muscle mass.

Impact:

Improved accuracy in body composition measurements through advanced spectroscopic and bioimpedance techniques.
Enhanced understanding of the synergistic application of NIR spectroscopy and multifrequency BIA.
Provides a more reliable foundation for future research and clinical applications in personalized health monitoring.