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Mass Spectrometry: Complex Analysis01:21

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...
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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 passed on to...

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Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
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Multimethod Platform Based on Dynamic Image Analysis and spICP-MS for Number-Based Quantification of Microplastics.

Aneta Sikora1, David Ojeda1, Dorota Bartczak1

  • 1National Measurement Laboratory, LGC Limited, The Priestley Centre, 10 Priestley Road, Guildford, Surrey GU2 7XY, United Kingdom.

Analytical Chemistry
|November 18, 2025
PubMed
Summary

A new multimethod platform combining dynamic image analysis (DIA) and single particle inductively coupled plasma mass spectrometry (spICP-MS) reliably quantifies small microplastics. This validated approach accurately determines particle number concentration for microplastic analysis.

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Materials Science

Background:

  • Microplastic pollution is a growing environmental concern.
  • Accurate quantification of small microplastics (1-10 μm) is challenging.
  • Existing methods often lack the precision needed for reliable particle number concentration determination.

Purpose of the Study:

  • To develop and validate a multimethod platform for reliable microplastic particle number concentration measurement.
  • To assess the performance of dynamic image analysis (DIA) and single particle inductively coupled plasma mass spectrometry (spICP-MS) for microplastic quantification.
  • To identify critical parameters influencing measurement accuracy and uncertainty.

Main Methods:

  • Combined dynamic image analysis (DIA) and single particle inductively coupled plasma mass spectrometry (spICP-MS).
  • Validated the platform using polystyrene (PS) microparticles (1-10 μm).
  • Investigated instrumental parameters affecting accuracy, including detection threshold (DIA) and transport efficiency calibration (spICP-MS).

Main Results:

  • The DIA/spICP-MS platform reliably detected and quantified microplastics.
  • Optimal conditions yielded comparable number-concentration values for 5 μm PS-Latex microspheres.
  • Measurement uncertainties were approximately 2.5% (DIA) and 10.2% (spICP-MS) under optimal conditions.
  • Key uncertainty contributors identified: particle detection variability (DIA) and transport efficiency calibration (spICP-MS).

Conclusions:

  • The developed DIA/spICP-MS platform offers a reliable method for determining small microplastic particle number concentration.
  • Instrumental parameter optimization is crucial for accurate microplastic quantification.
  • Understanding uncertainty contributions is essential for robust microplastic analysis.