Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

1.4K
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...
1.4K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.0K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.0K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

1.1K
The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
1.1K
Mass Analyzers: Overview01:13

Mass Analyzers: Overview

669
The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
669
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

396
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
396

You might also read

Related Articles

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

Sort by
Same author

HSGAN-based near-infrared hyperspectral reconstruction from characteristic wavelengths images for apple bruise detection.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2026
Same author

Bearings-only acoustic source localization method using two distributed gliders and deep ocean experimental validation in the South China Sea.

JASA express letters·2026
Same author

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same author

Atomic layer deposition for core-shell microparticle vaccines enabling programmable antigen delivery to lymph nodes enhance humoral immune responses.

bioRxiv : the preprint server for biology·2026
Same author

Low-temperature plasma catalysis for VOCs control: Mechanistic insights and hybrid strategies.

Environmental research·2026
Same author

Dehydrocostus Lactone Suppresses Hepatocellular Carcinoma by Inhibiting Protein Tyrosine Kinase-7 Mediated β-Catenin Signaling.

Phytotherapy research : PTR·2026

Related Experiment Video

Updated: Jul 3, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.3K

Radial basis function neural network optimization algorithm based on dynamic inertial weight particle swarm

Binxin Shou1,2,3, Mingguang Yang4, Zihan Song1

  • 1Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, P. R. China.

Rapid Communications in Mass Spectrometry : RCM
|February 15, 2024
PubMed
Summary

A new method using dynamic inertial weight particle swarm optimization (DIWPSO) and radial basis function (RBF) networks effectively separates overlapping peaks in ion mobility spectrometry (IMS) data, enhancing structural resolution for biomolecule analysis.

More Related Videos

T-wave Ion Mobility-mass Spectrometry: Basic Experimental Procedures for Protein Complex Analysis
16:40

T-wave Ion Mobility-mass Spectrometry: Basic Experimental Procedures for Protein Complex Analysis

Published on: July 31, 2010

24.7K
Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
08:56

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry

Published on: November 22, 2024

621

Related Experiment Videos

Last Updated: Jul 3, 2025

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
08:40

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

4.3K
T-wave Ion Mobility-mass Spectrometry: Basic Experimental Procedures for Protein Complex Analysis
16:40

T-wave Ion Mobility-mass Spectrometry: Basic Experimental Procedures for Protein Complex Analysis

Published on: July 31, 2010

24.7K
Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry
08:56

Detection of Regulated Ergot Alkaloids in Food Matrices by Liquid Chromatography-Trapped Ion Mobility Spectrometry-Time-of-Flight Mass Spectrometry

Published on: November 22, 2024

621

Area of Science:

  • Analytical Chemistry
  • Biophysical Chemistry
  • Computational Chemistry

Background:

  • Ion mobility spectrometry (IMS) is crucial for biomolecular structural characterization.
  • IMS faces limitations in structural resolution, leading to overlapping peaks for similar isomers.
  • Overlapping peaks hinder accurate analysis of complex biomolecular mixtures.

Purpose of the Study:

  • To develop an advanced method for resolving overlapping peaks in IMS data.
  • To improve the structural resolution capabilities of ion mobility spectrometry.
  • To enhance the accuracy of biomolecular structural analysis using IMS.

Main Methods:

  • Proposed a radial basis function (RBF) neural network optimized by dynamic inertial weight particle swarm optimization (DIWPSO).
  • Trained an adaptive model using a large dataset for effective peak separation in IMS.
  • Utilized DIWPSO to optimize RBF network structure and parameters, overcoming local optima issues.

Main Results:

  • The DIWPSO-RBF algorithm demonstrated superior performance in separating overlapping IMS peaks.
  • Achieved very low maximum relative errors: 0.42% (ion height), 0.092% (mobility), and 0.41% (half peak width).
  • Outperformed other algorithms, including sparrow search and multi-objective dynamic teaching-learning-based optimization.

Conclusions:

  • The developed method adaptively, rapidly, and accurately separates overlapping peaks.
  • Significantly improves the structural resolution of ion mobility spectrometry.
  • Provides a robust solution for analyzing complex isomeric mixtures in biomolecules.