Characterization of explosives in a controlled blast chamber using single-particle mass spectrometer for post-blast particle analysis

The detection and characterization of post-blast residues is critical for forensic attribution, explosive safety assessments, and environmental monitoring. In this study, five high explosives, HMX, TNT, Composition B, HNS, and PETN, were detonated under controlled chamber conditions and analyzed in real-time using a single-particle mass spectrometer (SPMS). SPMS facilitates the chemical profiling of individual aerosol particles and can detect a wide range of chemical compounds without any sample preparation. For the first time, the incorporation of a focused laser beam during analysis makes it possible to investigate the spectral information of post-blast particles depending on the explosive. The resulting mass spectra showed clear compositional differences among the explosives: HMX, TNT, and Composition B produced strong polycyclic aromatic hydrocarbon signals, while HNS and PETN generated sparse ion profiles. Additionally, inorganic ions originating from stabilizers and primers were detected. These results demonstrate the capability of SPMS to distinguish explosive formulations based on their post-detonation aerosol signatures. The novel method supports rapid screening and detailed chemical classification, offering a powerful tool for real-time forensic investigations, explosive event reconstruction, and future data-driven identifications.

Authors

Institutions

Publication Details

Journal
Talanta
Published
2025-10-15
DOI
https://doi.org/10.1016/j.talanta.2025.128986
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of explosives in a controlled blast chamber using single-particle mass spectrometer for post-blast particle analysis

Seongho Jeong, Frank Schnürer, Heinrich Ruser, Lara Hettmanczyk et al.
Talanta
Energetic Materials and Combustion
article

Characterization of explosives in a controlled blast chamber using single-particle mass spectrometer for post-blast particle analysis

Seongho Jeong, Frank Schnürer, Heinrich Ruser, Lara Hettmanczyk, Constantin Ulrich, Mario Adelhardt, Thomas Adam, Julian Schade
article en

Abstract

The detection and characterization of post-blast residues is critical for forensic attribution, explosive safety assessments, and environmental monitoring. In this study, five high explosives, HMX, TNT, Composition B, HNS, and PETN, were detonated under controlled chamber conditions and analyzed in real-time using a single-particle mass spectrometer (SPMS). SPMS facilitates the chemical profiling of individual aerosol particles and can detect a wide range of chemical compounds without any sample preparation. For the first time, the incorporation of a focused laser beam during analysis makes it possible to investigate the spectral information of post-blast particles depending on the explosive. The resulting mass spectra showed clear compositional differences among the explosives: HMX, TNT, and Composition B produced strong polycyclic aromatic hydrocarbon signals, while HNS and PETN generated sparse ion profiles. Additionally, inorganic ions originating from stabilizers and primers were detected. These results demonstrate the capability of SPMS to distinguish explosive formulations based on their post-detonation aerosol signatures. The novel method supports rapid screening and detailed chemical classification, offering a powerful tool for real-time forensic investigations, explosive event reconstruction, and future data-driven identifications.

TalantaVol. 298(Pt B)
Universität der Bundeswehr München (DE), Fraunhofer Institute for Chemical Technology (DE)
Openalex Percentile: Top 66%
Energetic Materials and Combustion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.