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Related Experiment Video

Updated: Jun 2, 2026

A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer (SMPS-ICPMS)

A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer (SMPS-ICPMS)

Published on: July 11, 2017

Differential Individual Particle Analysis (DIPA): applications in particulate matter characterization.

Andrew Hunt¹, David L Johnson

¹Earth and environmental Sciences Department, University of Texas at Arlington, Arlington, TX 76019, USA. hunt@uta.edu

Journal of Environmental Quality

|May 7, 2011

Summary

Differential individual particle analysis (DIPA) characterizes environmental particulate matter by analyzing individual particles before and after chemical reactions. This method reveals how particle components associate and change under varying conditions.

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A Practical Guide on Coupling a Scanning Mobility Sizer and Inductively Coupled Plasma Mass Spectrometer (SMPS-ICPMS)

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Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System

Measuring Sub-23 Nanometer Real Driving Particle Number Emissions Using the Portable DownToTen Sampling System

Published on: May 22, 2020

Area of Science:

Environmental Science
Analytical Chemistry
Materials Science

Background:

Scanning electron microscopy (SEM) and computer-controlled scanning electron microscopy (CCSEM) are vital for characterizing environmental particulate matter.
Understanding the chemical associations within individual particles is crucial for environmental studies.
Existing methods may not fully capture dynamic chemical changes at the particle level.

Purpose of the Study:

To introduce and illustrate the applications of differential individual particle analysis (DIPA) for environmental particulate matter.
To demonstrate DIPA's capability in determining component associations within individual particles.
To highlight DIPA's potential in describing particle behavior under changing chemical conditions.

Main Methods:

Utilizing SEM coupled with chemical extraction for individual particle analysis.
Implementing in situ DIPA to analyze the same particles before and after modification.
Employing ex situ DIPA with CCSEM for bulk sample modification and analysis pre- and post-reaction.

Main Results:

DIPA allows for the analysis of individual particles before and after chemical modification in a fluid environment.
In situ DIPA enables repeated analysis of the same particles under various conditions, providing time-dependent reaction insights.
CCSEM efficiently analyzes large numbers of particles, enhanced by rapid X-ray detection, for both in situ and ex situ DIPA.

Conclusions:

DIPA is a powerful technique for understanding the chemical associations and behavior of environmental particles.
Both in situ and ex situ DIPA, particularly with CCSEM, offer efficient and detailed characterization of particulate matter.
This approach provides valuable data on how environmental particles react and change in response to chemical stimuli.