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

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...

You might also read

Related Articles

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

Sort by

Same author

Composite Peak Scoring for Improved Charged Aerosol Detector-Based Universal Quantification of Drug Libraries.

Analytical chemistry·2026

Same author

Analytical implications of zero-order operation and blazed gratings in chromatographic fluorescence detectors.

Analytica chimica acta·2026

Same author

Pollution indices of brackish water and sediments of major mangrove sites along Arabian Sea coast of Pakistan.

Scientific reports·2025

Same author

Selective Chemometric Elimination of Co-Eluting Components in Chiral and Achiral Liquid Chromatographic Analyses.

Analytical chemistry·2025

Same author

Implications of Extra-column Effects for Targeted or Untargeted Microflow LC-MS.

ACS measurement science au·2025

Same author

Tianeptine: enantiomeric separations, structural assignment, and biological interactions.

Talanta·2025

Same journal

Chromatographic Purification of Complex Natural Products as a Decision Problem: Retention Prediction, Adaptive Optimization, and Experimental Feedback.

Journal of separation science·2026

Same journal

A High-Throughput Analytical Approach Using Polyaniline Doped With Oxalic Acid in Thin Film Solid-Phase Microextraction for the Determination of Personal Care Products in Recreational Waters.

Journal of separation science·2026

Same journal

Simultaneous Determination of Dechlorane-Related Compounds in Fish Muscle by Microwave-Assisted Extraction Combined With Enhanced Matrix Removal for Lipids Cleanup and Gas Chromatography-Tandem Mass Spectrometry.

Journal of separation science·2026

Same journal

Covalent Zwitterionic Peptide-Based Antifouling Coating of the Fused Silica Capillary Applied for CE Separation of Proteins.

Journal of separation science·2026

Same journal

Pharmacokinetic Study of Five Lead Components of Psoraleae Fructus in Human Serum by UHPLC-Q-TOF-MS and UHPLC-QqQ-MS/MS after Oral Administration of Qing'e Pills.

Journal of separation science·2026

Same journal

Passive Blood-Plasma Separation via Constriction-Expansion Geometry in Untreated Paper Microfluidic Devices.

Journal of separation science·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 9, 2025

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

Digital Restoration of Separations Data.

M Farooq Wahab¹, Troy T Handlovic¹

¹Department of Chemistry & Biochemistry, The University of Texas at Arlington, Arlington, Texas, USA.

Journal of Separation Science

|May 6, 2025

Summary

This summary is machine-generated.

This study introduces a digital protocol to clean experimental separation data, removing noise and correcting baselines for accurate peak analysis. The method enhances peak resolution and quantification in chromatography and capillary electrophoresis.

Keywords:

Fourier denoising algorithms baseline correction denoising optimization peak fitting

More Related Videos

Serial Block-Face Scanning Electron Microscopy SBF-SEM of Biological Tissue Samples

Serial Block-Face Scanning Electron Microscopy SBF-SEM of Biological Tissue Samples

Published on: March 26, 2021

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Related Experiment Videos

Last Updated: May 9, 2025

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

Serial Block-Face Scanning Electron Microscopy SBF-SEM of Biological Tissue Samples

Serial Block-Face Scanning Electron Microscopy SBF-SEM of Biological Tissue Samples

Published on: March 26, 2021

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

Area of Science:

Analytical Chemistry
Separation Science
Signal Processing

Background:

Experimental separation techniques often yield noisy signals with drift and overlapping peaks.
Accurate data analysis is crucial for reliable interpretation in chromatography and capillary electrophoresis.
Existing methods may struggle with complex noise patterns and partially resolved peaks.

Purpose of the Study:

To develop a comprehensive digital protocol for signal recovery in experimental separations.
To address challenges including high-frequency noise, drift, periodic noise, and overlapping peaks.
To provide open-access codes for denoising, baseline correction, and peak resolution.

Main Methods:

Bohlmann-Whittaker smoother for denoising while preserving signal area.
Fourier transform methods for detecting and removing periodic noise.
Asymmetric reweighted least squares and curvature-based weighting for baseline correction.
Savitzky-Golay filter for accurate peak detection and a peak width-preserving bilateral filter.
Novel peak models including a stable bi-directional exponentially modified Gaussian (EMG) and a twice generalized normal model.
Trust-region reflective nonlinear least squares regression for iterative curve fitting.

Main Results:

Effective removal of high- and low-frequency noise components.
Accurate baseline correction for low-frequency signal variations.
Precise peak location, area, and height determination using advanced peak models.
Successful modeling of skewed peaks and resolution of overlapping components.
Algorithm convergence even with multiple peaks and approximate initial parameters.

Conclusions:

The developed protocol offers a robust solution for digital signal recovery in separation sciences.
Open-access codes facilitate the application of advanced signal processing techniques.
The method improves the accuracy and reliability of data analysis in chromatography and capillary electrophoresis.
The protocol's generalizability allows adaptation for a wide range of peak functions.