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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...
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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...
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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...
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Mass Spectrometry: Complex Analysis01:21

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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.
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This lesson details the instrumentation of a mass spectrometer—a physical instrument to perform mass spectrometry on analyte molecules and record the characteristic mass spectra. This is achieved via three chief functions:
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Mass Spectrometry: Isotope Effect01:13

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Related Experiment Video

Updated: May 14, 2025

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
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Quality Control Standards for Batch Effect Evaluation and Correction in Mass Spectrometry Imaging.

Luojiao Huang1, Yaejin Kim1, Benjamin Balluff2

  • 1Cell Biology-Inspired Tissue Engineering, Institute for Technology-Inspired Regenerative Medicine, Maastricht University, 6229ER Maastricht, Netherlands.

Analytical Chemistry
|May 12, 2025
PubMed
Summary

A new quality control standard (QCS) and data analysis pipeline improve reproducibility in matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). This approach addresses technical variations for better data quality and reliable spatial molecular profiling.

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Area of Science:

  • Analytical Chemistry
  • Biotechnology
  • Mass Spectrometry Imaging

Background:

  • Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) enables spatial molecular profiling but faces challenges in reproducibility.
  • Technical variations from sample preparation and instrument performance hinder accurate assessment and data quality in MALDI-MSI.
  • A standardized method for quality control and batch effect correction is needed to enhance the reliability of MALDI-MSI results.

Purpose of the Study:

  • To develop and validate a novel quality control standard (QCS) for MALDI-MSI.
  • To introduce a data analysis pipeline for evaluating and correcting technical variations in MALDI-MSI.
  • To improve the reproducibility and data quality of spatial molecular profiling using MALDI-MSI.

Main Methods:

  • Designed a tissue-mimicking QCS using propranolol in a gelatin matrix to simulate ion suppression.
  • Conducted a three-day batch experiment to assess the QCS's sensitivity to longitudinal technical variations.
  • Applied three computational approaches for batch effect correction to MALDI-MSI data, including principal component analysis (PCA).

Main Results:

  • The developed QCS effectively mimicked ion suppression observed in tissue samples.
  • The QCS demonstrated sensitivity to longitudinal technical variations, serving as an effective indicator of batch effects.
  • Batch effect correction significantly reduced QCS variation and improved sample clustering in PCA, enhancing data quality.

Conclusions:

  • The designed QCS provides a reliable tool for evaluating batch effects in MALDI-MSI.
  • The data analysis pipeline effectively corrects for technical variations, improving MALDI-MSI data reproducibility.
  • This integrated approach offers MALDI-MSI users a robust method for quality control and enhanced data analysis.