Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Reconstruction of Signal using Interpolation

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...

Sample Handling

Sample Handling

Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...

Overview of Transposition and Recombination

Overview of Transposition and Recombination

Transposons make up a significant part of genomes of various organisms. Therefore, it is believed that transposition played a major evolutionary role in speciation by changing genome sizes and modifying gene expression patterns. For example, in bacteria, transposition can lead to conferring antibiotic resistance. Movement of transposable elements within the genetic pool of pathogenic bacteria can aid in transfer of antibiotic-resistant genetic elements. In eukaryotes, transposons can carry out...

Extraction: Partition and Distribution Coefficients

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

Fixing Double-strand Breaks

Fixing Double-strand Breaks

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

ShimNetV2-RM Neural Network for Post-Acquisition Correction of Spectral Lineshapes in NMR Reaction Monitoring.

Magnetic resonance in chemistry : MRC·2026

Same author

WNetAlign: fast and accurate spectra alignment using truncated Wasserstein distance and network simplex.

Briefings in bioinformatics·2026

Same author

High- and low-field NMR in binary solvent gradients.

The Analyst·2026

Same author

NMR Reaction Monitoring Robust to Spectral Distortions.

Analytical chemistry·2025

Same author

Correction to "ShimNet: A Neural Network for Postacquisition Improvement of NMR Spectra Distorted by Magnetic-Field Inhomogeneity".

The journal of physical chemistry. B·2025

Same author

ShimNet: A Neural Network for Postacquisition Improvement of NMR Spectra Distorted by Magnetic-Field Inhomogeneity.

The journal of physical chemistry. B·2025

Search research articles

Related Experiment Video

Updated: Sep 18, 2025

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

Split Inversion-Recovery Experiment by Sample Shifting.

Sylwia Jopa¹, Dariusz Gołowicz², Krzysztof Kazimierczuk¹

¹Centre of New Technologies, University of Warsaw, Warsaw, Poland.

Magnetic Resonance in Chemistry : MRC

|June 26, 2025

Summary

This summary is machine-generated.

Quantitative NMR (qNMR) requires accurate longitudinal relaxation constant (T1) measurements. A new SWAPE apparatus significantly speeds up T1 determination by avoiding long delays, reducing experiment times by over 5 times.

Keywords:

benchtop NMR formic acid inversion recovery qNMR spin‐lattice

More Related Videos

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Related Experiment Videos

Last Updated: Sep 18, 2025

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Pure Shift Nuclear Magnetic Resonance: a New Tool for Plant Metabolomics

Published on: July 31, 2021

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Area of Science:

Nuclear Magnetic Resonance Spectroscopy
Analytical Chemistry
Physical Chemistry

Background:

Quantitative NMR (qNMR) relies on full nuclear spin relaxation between scans.
Accurate T1 (longitudinal relaxation time) values are crucial for setting appropriate interscan delays.
Conventional T1 measurement methods, like inversion-recovery, can be time-consuming, especially for nuclei with long T1 values.

Purpose of the Study:

To introduce a novel method for accelerating T1 measurements in qNMR.
To demonstrate the effectiveness of the SWAPE (Sweeping Apparatus for Polarisation enhancement) apparatus in reducing experiment duration.
To validate the accuracy of the SWAPE method by comparing T1 values with conventional techniques.

Main Methods:

Development and implementation of the SWAPE apparatus, which shifts the sample vertically during the pulse sequence.
Utilizing the SWAPE apparatus to perform inversion-recovery experiments, allowing relaxation in non-excited sample regions.
Acquisition and analysis of NMR spectra using the SWAPE method on a formic acid sample.

Main Results:

The SWAPE apparatus successfully shortened the T1 measurement experiment time by approximately 5.8 times.
The T1 value obtained using SWAPE for formic acid was 12.99 ± 0.73 s.
This result is in good agreement with the T1 value measured by the conventional inversion-recovery method (14.48 ± 0.82 s).

Conclusions:

The SWAPE apparatus offers a significant acceleration of T1 measurements in NMR spectroscopy.
This technique effectively overcomes the limitations of long passive delays in conventional methods.
SWAPE provides a faster and efficient alternative for T1 determination, crucial for optimizing qNMR experiments.