Cluster Secondary Ion Mass Spectrometry

Regular price €119.99
3D characterization
3D imaging organic materials
3D imaging polymeric materials
A01=Christine M. Mahoney
Age Group_Uncategorized
Age Group_Uncategorized
Author_Christine M. Mahoney
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Category1=Non-Fiction
Category=PNFS
cluster ion beams
cluster sources
COP=United States
Delivery_Delivery within 10-20 working days
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eq_non-fiction
eq_science
Language_English
organic depth profiling
PA=Available
polymeric depth profiling
polymeric materials characterization
Price_€100 and above
PS=Active
SIMS
SIMS semiconductors
SN=Wiley Series on Mass Spectrometry
softlaunch
solid materials characterization

Product details

  • ISBN 9780470886052
  • Weight: 748g
  • Dimensions: 160 x 239mm
  • Publication Date: 28 Jun 2013
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
Delivery/Collection within 10-20 working days

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Explores the impact of the latest breakthroughs in cluster SIMS technology

Cluster secondary ion mass spectrometry (SIMS) is a high spatial resolution imaging mass spectrometry technique, which can be used to characterize the three-dimensional chemical structure in complex organic and molecular systems. It works by using a cluster ion source to sputter desorb material from a solid sample surface. Prior to the advent of the cluster source, SIMS was severely limited in its ability to characterize soft samples as a result of damage from the atomic source. Molecular samples were essentially destroyed during analysis, limiting the method's sensitivity and precluding compositional depth profiling. The use of new and emerging cluster ion beam technologies has all but eliminated these limitations, enabling researchers to enter into new fields once considered unattainable by the SIMS method.

With contributions from leading mass spectrometry researchers around the world, Cluster Secondary Ion Mass Spectrometry: Principles and Applications describes the latest breakthroughs in instrumentation, and addresses best practices in cluster SIMS analysis. It serves as a compendium of knowledge on organic and polymeric surface and in-depth characterization using cluster ion beams. It covers topics ranging from the fundamentals and theory of cluster SIMS, to the important chemistries behind the success of the technique, as well as the wide-ranging applications of the technology. Examples of subjects covered include:

  • Cluster SIMS theory and modeling
  • Cluster ion source types and performance expectations
  • Cluster ion beams for surface analysis experiments
  • Molecular depth profiling and 3-D analysis with cluster ion beams
  • Specialty applications ranging from biological samples analysis to semiconductors/metals analysis
  • Future challenges and prospects for cluster SIMS

This book is intended to benefit any scientist, ranging from beginning to advanced in level, with plenty of figures to help better understand complex concepts and processes. In addition, each chapter ends with a detailed reference set to the primary literature, facilitating further research into individual topics where desired. Cluster Secondary Ion Mass Spectrometry: Principles and Applications is a must-have read for any researcher in the surface analysis and/or imaging mass spectrometry fields.

Christine M. Mahoney, PhD, is a recognized expert and leader in the field of Secondary Ion Mass Spectrometry (SIMS). Throughout her career, she has focused primarily on the application of SIMS to molecular targets, and has played a significant role in the development of cluster SIMS for polymer depth profiling applications. She received her PhD in analytical chemistry from SUNY Buffalo in 1993. She spent the following eight years at the National Institute of Standards and Technology (NIST), where much of her molecular depth profiling work was performed. Christine is currently employed as a senior research scientist at the Environmental Molecular Sciences Laboratory (EMSL) at Pacific Northwest National Laboratory (PNNL), where she continues to lead research in the field of SIMS.