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Mass Spectrometry: Complex Analysis

Mass Spectrometry: Complex Analysis

Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...

Tandem Mass Spectrometry

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and signal-to-noise ratio for the analyte. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.
Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called collision-induced...

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...

Peptide Identification Using Tandem Mass Spectrometry

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Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...

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Related Experiment Video

Updated: Sep 17, 2025

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

Cross-Signal Contribution as a Challenge in LC-MS/MS Bioanalysis.

Anna Siemiątkowska^1,2, Katarzyna Kosicka-Noworzyń^1,2, Marta Karaźniewicz-Łada^1,2

¹Department of Physical Pharmacy and Pharmacokinetics, Poznan University of Medical Sciences, Rokietnicka 3, 60-806 Poznań, Poland.

Analytical Chemistry

|June 30, 2025

Summary

This summary is machine-generated.

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) can face unexpected peaks due to cross-signal contribution. This tutorial identifies interference sources and offers solutions for accurate small molecule bioanalysis.

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

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Published on: March 14, 2013

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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

Area of Science:

Analytical Chemistry
Biochemistry
Pharmacology

Background:

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a key technique for quantitative bioanalysis of small molecules.
Despite its sensitivity and reliability, LC-MS/MS assays can be affected by interferences, particularly cross-signal contribution.
Cross-signal contribution is an often-overlooked issue that can compromise the accuracy of bioanalytical results.

Purpose of the Study:

To highlight the causes and impact of cross-signal contribution in LC-MS/MS bioanalysis.
To provide practical guidance for identifying and resolving interferences in LC-MS/MS assays.
To offer solutions for mitigating the negative effects of cross-signal contribution on quantitative results.

Main Methods:

Analysis of seven real-world case studies involving LC-MS/MS interferences.
Identification of various origins of cross-signal contribution.
Development of a flowchart to systematically diagnose unexpected peaks in LC-MS/MS assays.

Main Results:

Demonstrated diverse sources of cross-signal contribution in LC-MS/MS.
Presented successful strategies for identifying and resolving interference-related problems.
Illustrated the significant impact of cross-signal contribution on quantitative bioanalysis.

Conclusions:

Cross-signal contribution is a critical challenge in LC-MS/MS bioanalysis that requires careful attention.
Systematic troubleshooting using the provided flowchart can effectively identify and address interferences.
Implementing appropriate measures is essential for ensuring the reliability and accuracy of quantitative bioanalytical data.