Enhanced Formation of Multiply Charged Protein and Peptide Ions in SIMS Using Large Water Clusters

Protein detection in secondary ion mass spectrometry (SIMS) has historically been limited by extensive fragmentation and low ionization yields. The introduction of large water gas cluster ion beams (GCIB) has significantly mitigated molecular fragmentation and enhanced ionization efficiency due to the large size and proton-rich nature of the primary ions, respectively. In this study, we demonstrate the successful application of water clusters for analyzing molecular ions of ubiquitin and angiotensin II. Compared to (Ar/CO<sub>2</sub>)<sub>n</sub> clusters, water clusters produced substantially higher ion yields for these molecules. However, when a matrix was used, the ion yields for water clusters decreased, while an increase was observed for (Ar/CO<sub>2</sub>)<sub>n</sub> clusters. Additionally, increasing the cluster energy led to corresponding increases in ion yield at equivalent energy per nucleon (<i>E</i>/<i>m</i>) values. Notably, water clusters facilitated the generation of multiply charged species of both ubiquitin and angiotensin II, including the detection of 3+ and 4+ charge states for ubiquitin. This ability to form and detect multiply charged protein species represents a major advancement for SIMS analysis, potentially expanding its applicable mass range. Furthermore, these findings have promising implications for high-resolution, multimodal mass spectrometry imaging that incorporates protein detection and analysis with no need for sample preprocessing or matrix addition.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-05-27
DOI
https://doi.org/10.1021/acs.analchem.5c01508
Citations
2
Primary Topic
Ion-surface interactions and analysis
Type
article
Field-Weighted Citation Impact
2.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Formation of Multiply Charged Protein and Peptide Ions in SIMS Using Large Water Clusters

Felicia M. Green, Matija Lagator, Hua Tian, Sadia Sheraz et al.
2 citations
Analytical Chemistry
Ion-surface interactions and analysis
2.67
article

Enhanced Formation of Multiply Charged Protein and Peptide Ions in SIMS Using Large Water Clusters

Felicia M. Green, Matija Lagator, Hua Tian, Sadia Sheraz, Nicholas P. Lockyer
article en
2 citations

Abstract

Protein detection in secondary ion mass spectrometry (SIMS) has historically been limited by extensive fragmentation and low ionization yields. The introduction of large water gas cluster ion beams (GCIB) has significantly mitigated molecular fragmentation and enhanced ionization efficiency due to the large size and proton-rich nature of the primary ions, respectively. In this study, we demonstrate the successful application of water clusters for analyzing molecular ions of ubiquitin and angiotensin II. Compared to (Ar/CO<sub>2</sub>)<sub>n</sub> clusters, water clusters produced substantially higher ion yields for these molecules. However, when a matrix was used, the ion yields for water clusters decreased, while an increase was observed for (Ar/CO<sub>2</sub>)<sub>n</sub> clusters. Additionally, increasing the cluster energy led to corresponding increases in ion yield at equivalent energy per nucleon (<i>E</i>/<i>m</i>) values. Notably, water clusters facilitated the generation of multiply charged species of both ubiquitin and angiotensin II, including the detection of 3+ and 4+ charge states for ubiquitin. This ability to form and detect multiply charged protein species represents a major advancement for SIMS analysis, potentially expanding its applicable mass range. Furthermore, these findings have promising implications for high-resolution, multimodal mass spectrometry imaging that incorporates protein detection and analysis with no need for sample preprocessing or matrix addition.

Analytical ChemistryVol. 97(22)
Rutherford Appleton Laboratory (GB), University of Pittsburgh (US), University of Manchester (GB), Rosalind Franklin Institute (GB)
University of Pittsburgh, University of Manchester, Engineering and Physical Sciences Research Council
Clean water and sanitation
Openalex Percentile: Top 12%
Ion-surface interactions and analysis
2.67
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.