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Related Concept Videos

Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview01:19

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In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
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Related Experiment Video

Updated: May 27, 2025

Automated Sample Multiplexing by using Combined Precursor Isotopic Labeling and Isobaric Tagging cPILOT
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Part A: Implementing an Analyte Panel and Sampling Protocol for Quality Control in Mass Spectrometry Imaging.

Quinn Mills1, Russell R Kibbe1, Alexandria L Sohn1

  • 1Biological Imaging Laboratory for Disease and Exposure Research (BILDER), Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA.

Rapid Communications in Mass Spectrometry : RCM
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Summary

Mass spectrometry imaging (MSI) now has a standardized quality control (QC) and system suitability testing (SST) protocol. This new method uses unlabeled (NAT) and stable isotope-labeled (SIL) analytes for objective instrument performance evaluation.

Keywords:
IR‐MALDESImass spectrometry imagingquality controlstable isotope labeledsystem suitability testing

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Biotechnology

Background:

  • Quality control (QC) and system suitability testing (SST) are crucial in mass spectrometry but lack universal protocols for mass spectrometry imaging (MSI).
  • Implementing QC/SST in MSI is challenging, risking sample loss due to poor instrument conditions or data quality.
  • A novel approach is needed to ensure reliable MSI data acquisition and analysis.

Purpose of the Study:

  • To develop and validate a universal QC/SST protocol for mass spectrometry imaging (MSI).
  • To provide guidance for evaluating instrument performance and data quality in MSI experiments.
  • To enable objective and accurate QC/SST determination on MSI platforms.

Main Methods:

  • A commercially available analyte panel comprising unlabeled (NAT) and stable isotope-labeled (SIL) compounds was utilized.
  • The NAT analytes were analyzed as a droplet on a slide, while SIL analytes were doped into the electrospray solvent.
  • Datasets were acquired using both clean and compromised instruments to train QC/SST software (SLICE-MSI) for instrument condition classification.

Main Results:

  • A robust QC/SST procedure for MSI platforms was established.
  • The protocol can be optionally paired with SLICE-MSI software for automated instrument condition classification.
  • Stable isotope-labeled (SIL) data allows for continuous monitoring of electrospray stability during imaging.

Conclusions:

  • The developed protocol offers an objective and accurate method for QC/SST in MSI.
  • This standardized approach enhances the reliability and reproducibility of MSI data.
  • The protocol's adaptability to other ionization sources promotes widespread adoption and improved analytical outcomes.