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Related Concept Videos

NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences01:17

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.
NMR Spectrometers: Overview01:20

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...
Applications Of NMR In Biology01:25

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.
The...

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Related Experiment Video

Updated: May 11, 2026

Monitoring Protein-Ligand Interactions in Human Cells by Real-Time Quantitative In-Cell NMR using a High Cell Density Bioreactor
10:25

Monitoring Protein-Ligand Interactions in Human Cells by Real-Time Quantitative In-Cell NMR using a High Cell Density Bioreactor

Published on: March 9, 2021

NMRbot: Python scripts enable high-throughput data collection on current Bruker BioSpin NMR spectrometers.

Lawrence J Clos1, M Fransisca Jofre, James J Ellinger

  • 1National Magnetic Resonance Facility at Madison, Department of Biochemistry, University of Wisconsin-Madison, 433 Babcock Drive, Madison, WI 53706 USA.

Metabolomics : Official Journal of the Metabolomic Society
|May 17, 2013
PubMed
Summary
This summary is machine-generated.

NMRbot streamlines nuclear magnetic resonance (NMR) data acquisition for high-throughput studies. This automated Python-based methodology enhances accessibility and data quality for non-experts, saving time and resources.

Keywords:
AutomationCompound screeningData collectionMetabolomicsNMR spectroscopyPython scripting

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Last Updated: May 11, 2026

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Published on: March 9, 2021

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Sample Preparation of Mycobacterium tuberculosis Extracts for Nuclear Magnetic Resonance Metabolomic Studies

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Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Spectroscopy

Background:

  • High-throughput nuclear magnetic resonance (NMR) data acquisition presents challenges for non-experts.
  • Ensuring consistency and reliability in spectral data is crucial for large-scale studies.
  • Advances in NMR hardware and software necessitate updated methodologies.

Purpose of the Study:

  • To develop an automated methodology for high-throughput NMR data acquisition.
  • To increase user accessibility and simplify the process for non-NMR experts.
  • To improve the consistency, reliability, and quality of NMR experimental data.

Main Methods:

  • Developed NMRbot, a set of Python scripts integrated with Bruker BioSpin TopSpin™ software.
  • Implemented automated data acquisition protocols.
  • Incorporated novel tools for on-the-fly optimization of experimental parameters.

Main Results:

  • Successfully implemented NMRbot for metabolomics, small-molecule library profiling, and protein-ligand titrations.
  • Demonstrated improved spectral quality and data consistency.
  • Achieved significant time savings and enhanced user convenience.

Conclusions:

  • NMRbot offers a user-friendly, automated solution for high-throughput NMR data acquisition.
  • The methodology enhances accessibility for non-experts, leading to more reliable and efficient research.
  • NMRbot facilitates advanced NMR applications with improved ease of use and data output.