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NMR Spectrometers: Overview

NMR Spectrometers: Overview

NMR spectrometers consist of a strong magnet, a radiofrequency transmitter, and a detector attached to a computer console for recording spectra of samples containing NMR-active nuclei. In first-generation NMR instruments called continuous-wave spectrometers, the resonance frequencies of the nuclei are determined by frequency-sweep or field-sweep methods. The magnetic field strength is fixed and the rf signal is swept in the former, while the radiofrequency signal is fixed and the magnetic field...

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences

A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.

Applications Of NMR In Biology

Applications Of NMR In Biology

Nuclear magnetic resonance (NMR) spectroscopy is a very valuable analytical technique for researchers. It has been used for more than 50 years as an analytical tool. F. Bloch and E. Purcell formulated NMR in 1946 and won the 1952 Nobel Prize in Physics for their work. Biological macromolecules such as proteins, nucleic acids, lipids, and organic molecules including pharmaceutical compounds, can be studied using this versatile tool that exploits the magnetic properties of certain nuclei.

High-Resolution Mass Spectrometry (HRMS)

High-Resolution Mass Spectrometry (HRMS)

The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...

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Related Experiment Video

Updated: Sep 19, 2025

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

Published on: April 19, 2021

Automated Data Processing Workflows for Non-Expert Users of NMR Facilities.

Armin Afrough¹, Maria Pérez-Mendigorri¹, Thomas Vosegaard^1,2

¹Interdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark.

Magnetic Resonance in Chemistry : MRC

|May 31, 2025

Summary

This summary is machine-generated.

Automated data processing workflows enhance Nuclear Magnetic Resonance (NMR) spectroscopy accessibility for diverse scientific users. These guided tools reduce expert reliance and accelerate analysis, making complex NMR data more manageable.

Keywords:

automation data analysis nuclear magnetic resonance

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Last Updated: Sep 19, 2025

15N CPMG Relaxation Dispersion for the Investigation of Protein Conformational Dynamics on the µs-ms Timescale

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Published on: April 19, 2021

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NMR-Based Fragment Screening in a Minimum Sample but Maximum Automation Mode

NMR-Based Fragment Screening in a Minimum Sample but Maximum Automation Mode

Published on: June 4, 2021

Area of Science:

Analytical Chemistry
Biophysics
Materials Science

Background:

Modern Nuclear Magnetic Resonance (NMR) spectrometers are costly and complex, leading to centralized ultrahigh-field facilities.
Diverse users from various scientific fields often lack NMR expertise, necessitating simplified data processing.
Existing data treatment requires significant expert involvement or user-friendly, automated workflows.

Purpose of the Study:

To develop automated and guided data processing workflows for a broad user community at an ultrahigh-field NMR facility.
To enhance user-friendliness, robustness, and automation of NMR data analysis.
To reduce the need for heavy NMR expert involvement in data treatment.

Main Methods:

Development of automated and guided data processing workflows with consistency checks and intermediate result reporting.
Implementation of an automated quantitative lipidomics workflow using 1H-31P TOCSY spectra, database matching, and quantitative 31P measurements.
Application of semi-automated multi-exponential relaxation analysis in food matrices, using L-curve for regularization parameter determination.

Main Results:

Automated workflows successfully serve a broad user community with reduced expert supervision.
Consistency checks and reliability labels in the lipidomics workflow highlight potential data pitfalls.
Semi-automated relaxation analysis efficiently determines regularization parameters, accelerating processing.

Conclusions:

Guided automation significantly reduces expert supervision and accelerates NMR data processing for diverse users.
Developed tools improve the accessibility and efficiency of ultrahigh-field NMR facilities.
Future plans include refining workflows, open-source software sharing, and exploring new application areas.