NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Automated Analysis of Organic Particles Using Cluster SIMS
Published
Author(s)
John G. Gillen, Cynthia J. Zeissler, Christine M. Mahoney, Abigail P. Lindstrom, Robert A. Fletcher, P Chi, Jennifer R. Verkouteren, David S. Bright, R Lareau, M Boldman
Abstract
Cluster primary ion bombardment combined with secondary ion imaging is used in an ion microscope secondary ion mass spectrometer for the spatially resolved analysis of organic particles on various surfaces. Compared to the use of monoatomic primary ion beam bombardment, the use of a cluster primary ion beam (SF5+ or C8-) provides significant improvement in molecular ion yields and a reduction in beam-induced degradation of the analyte molecules. These characteristics of cluster bombardment are utilized, along with automated sample stage control and custom image analysis software, to rapidly characterize the spatial distribution of trace explosive particles, narcotics and inkjet-printed micro arrays on a variety of surfaces.
Citation
Applied Surface Science
Volume
231-232
Issue
Sp.
Pub Type
Journals
Keywords
cluster SIMS, explosives, inkjet, particle searching, polyatomic ion
Gillen, J.
, Zeissler, C.
, Mahoney, C.
, Lindstrom, A.
, Fletcher, R.
, Chi, P.
, Verkouteren, J.
, Bright, D.
, Lareau, R.
and Boldman, M.
(2004),
Automated Analysis of Organic Particles Using Cluster SIMS, Applied Surface Science
(Accessed October 7, 2025)