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

High-Resolution Mass Spectrometry (HRMS)

High-Resolution Mass Spectrometry (HRMS)

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...

You might also read

Related Articles

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

Sort by

Same author

High-Throughput Screening of Isomeric Reaction Products by Droplet Microfluidics Coupled to Cyclic Ion Mobility-Mass Spectrometry.

Analytical chemistry·2026

Same author

Adapting Tile-Based Discovery Analysis for Comprehensive Two-Dimensional Gas Chromatography with Vacuum Ultraviolet Spectroscopy Data of Gas Oils.

Analytical chemistry·2026

Same author

Sampling Probes Microfabricated from Parylene‑C for In Vivo Neurochemical Monitoring.

ACS measurement science au·2025

Same author

Improving the Detection of Analyte Degeneracies in Untargeted Liquid Chromatography-Tandem Mass Spectrometry Data.

Analytical chemistry·2025

Same author

Tile-Based Fisher Ratio Analysis with Support Vector Machine Regression Modeling of GC×GC-TOFMS Data of VOCs Produced by <i>Malassezia pachydermatis</i> Grown at Variable pHs.

Analytical chemistry·2025

Same author

An <i>In Situ</i>, Automated High-Explosives Aging Method Utilizing Two-Dimensional Gas Chromatography-Mass Spectrometry.

ACS omega·2025

Search research articles

Related Experiment Video

Updated: Aug 16, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

Optimization of Parameters for ROI Data Compression for Nontargeted Analyses Using LC-HRMS.

Sonia Schöneich¹, Caitlin N Cain¹, Chris E Freye²

¹Department of Chemistry, University of Washington, P.O. Box 351700, Seattle, Washington 98195-1700, United States.

Analytical Chemistry

|December 23, 2022

Summary

This study introduces a new workflow for analyzing complex data from liquid chromatography-high-resolution mass spectrometry. Optimized parameters significantly improve the detection of low-concentration pesticides in soil samples.

More Related Videos

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

Published on: May 31, 2020

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Related Experiment Videos

Last Updated: Aug 16, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

On-Site Sampling and Extraction of Brain Tumors for Metabolomics and Lipidomics Analysis

Published on: May 31, 2020

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Area of Science:

Analytical Chemistry
Environmental Science

Background:

Nontargeted analysis of low-concentration analytes using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) presents significant challenges.
Efficient and comprehensive data analysis is crucial for discovering trace compounds in complex matrices.

Purpose of the Study:

To demonstrate a workflow for targeted parameter optimization of chromatograms using region of interest (ROI) data compression.
To enhance the discovery of low-concentration analytes through subsequent tile-based Fisher ratio (F-ratio) analysis.

Main Methods:

Developed a parameter optimization method for ROI data compression by spiking known analytes into soil samples.
Evaluated signal threshold and admissible mass deviation parameters to minimize average mass error (Δppm) and maximize analyte detection.
Applied tile-based F-ratio analysis to ROI compressed data using both literature-recommended and optimized parameters.

Main Results:

Optimization of signal threshold and admissible mass deviation parameters was critical for ROI data compression.
Using initial ROI parameters, only three out of 18 spiked pesticides were discovered.
Employing the optimized ROI parameters, all 18 spiked pesticides were successfully discovered.

Conclusions:

The demonstrated workflow significantly enhances the comprehensive and efficient discovery of low-concentration pesticides in complex samples.
Targeted parameter optimization for ROI data compression is a key factor for improving analytical performance in LC-HRMS.