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

Chromatographic Resolution

Chromatographic Resolution

In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
The effectiveness of separation can be evaluated by determining the level of separation between two neighboring peaks in a chromatogram, which represents the individual components of a sample.
In chromatography,...

Chromatographic Methods: Terminology

Chromatographic Methods: Terminology

Chromatography is an analytical technique widely used in fields such as chemistry, biology, environmental science, and pharmaceuticals to separate the components of a mixture and identify substances between them. The process of chromatography is based on the interactions between two distinct phases: the stationary phase and the mobile phase. The stationary phase is fixed in place by a supporting material, while the mobile phase moves over it, carrying the solutes. As the mobile phase travels,...

Optimizing Chromatographic Separations

Optimizing Chromatographic Separations

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...

You might also read

Related Articles

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

Sort by

Same author

Enterococcus faecalis Extracellular Vesicles Deliver the Bacterial GTPase Obg to Hijack mTOR Signalling in Hepatocellular Carcinoma.

Journal of extracellular vesicles·2026

Same author

Efgartigimod in myasthenia gravis: Efficacy and steroid-sparing benefits in a real-world cohort.

Clinical neurology and neurosurgery·2026

Same author

Creating highly active fluoroacetate dehalogenases via gate-based synergetic chain design.

Nature communications·2026

Same author

Structure-Based Design of Potent and Highly Selective NUAK1 Inhibitors by Exploiting a Unique Glutamate Switch for the Prevention of Tumor Growth, Migration, and Invasion.

Journal of medicinal chemistry·2026

Same author

Microalgal delivery of recombinant fish interferon modulates gut microbiota and enhances antiviral immunity in fish.

Journal of immunology (Baltimore, Md. : 1950)·2026

Same author

Tuning aromatic cage occupancy in prenyltransferases enables selective and efficient production of rare c-prenylated flavonoids.

Nature communications·2026

Search research articles

Related Experiment Video

Updated: May 26, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Multiscale peak alignment for chromatographic datasets.

Zhi-Min Zhang¹, Yi-Zeng Liang, Hong-Mei Lu

¹College of Chemistry and Chemical Engineering, Research Center of Modernization of Chinese Medicines, Central South University, Changsha 410083, China.

Journal of Chromatography. A

|January 7, 2012

Summary

This summary is machine-generated.

This study introduces multiscale peak alignment (MSPA) for chromatograms, significantly speeding up data preprocessing. MSPA accurately aligns shifted peaks, preserving peak shapes and proving robust against noise.

More Related Videos

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Related Experiment Videos

Last Updated: May 26, 2026

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)

Published on: March 14, 2013

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

Area of Science:

Analytical Chemistry
Chemometrics

Background:

Chromatography is vital in metabolomics and herbal medicine quality control.
Peak alignment is a critical but time-consuming preprocessing step.

Purpose of the Study:

To develop an accurate and rapid method for aligning shifted peaks in one-dimensional chromatograms.
Introduce multiscale peak alignment (MSPA) to accelerate data analysis.

Main Methods:

Peak detection using continuous wavelet transform (CWT).
Scale-by-scale alignment against a reference chromatogram.
Acceleration of alignment using fast Fourier transform cross-correlation.

Main Results:

MSPA demonstrates excellent speed and preserves peak shapes compared to existing methods.
The method is robust, showing insensitivity to noise and baseline variations.
Validation on a chromatographic dataset confirmed MSPA's efficacy.

Conclusions:

MSPA offers a significant improvement in speed and accuracy for chromatographic peak alignment.
The robustness of MSPA makes it suitable for complex and noisy datasets.
MSPA is publicly available, facilitating its adoption in scientific research.