High Dynamic Range Peptide Mass Spectrometry Using Segmented Precursor Ion Accumulation

Limited sensitivity and depth of proteome sampling in experiments using data-dependent acquisition (DDA) mass spectrometry are usually attributed to an insufficient rate of fragmentation spectra acquisition relative to the number of coeluting potential targets. Here, we demonstrated that limited sensitivity and dynamic range of MS1 scans reduce detection of low-intensity ions and thus their selection for fragmentation. As abundant ions occupy a large fraction of the ion accumulation capacity, we sought to improve MS1 detection of rare analytes by an easily implementable strategy based on gas-phase segmentation of the MS1 scan range, followed by coaccumulation and detection of all ions. The quadrupolar isolation windows used to segment the MS1 scan range are designed to transmit, on average, an equal number of charges, consistent with the parameter used by many recent mass spectrometers to regulate ion trap filling. This strategy, which we named high dynamic range MS1 (HDR-MS1), reduces the contribution of abundant ions to reaching the maximum ion capacity. As a result, HDR MS1 showed improved dynamic range and sensitivity compared to conventional full-range scans, resulting in a higher number of peptides and protein identifications under identical MS2 parameters, less redundant precursor ion sampling, and a higher rate of quantified precursor ions. HDR MS1 scans are compatible with any DDA precursor selection filter and MS2 parameter, and the generated files can be analyzed using any software for peptide-spectral matching and quantification.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-10-15
DOI
https://doi.org/10.1021/acs.analchem.5c04349
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High Dynamic Range Peptide Mass Spectrometry Using Segmented Precursor Ion Accumulation

Paolo Cifani, Maria C. Panepinto, Francesca Minicozzi
Analytical Chemistry
Advanced Proteomics Techniques and Applications
article

High Dynamic Range Peptide Mass Spectrometry Using Segmented Precursor Ion Accumulation

Paolo Cifani, Maria C. Panepinto, Francesca Minicozzi
article en

Abstract

Limited sensitivity and depth of proteome sampling in experiments using data-dependent acquisition (DDA) mass spectrometry are usually attributed to an insufficient rate of fragmentation spectra acquisition relative to the number of coeluting potential targets. Here, we demonstrated that limited sensitivity and dynamic range of MS1 scans reduce detection of low-intensity ions and thus their selection for fragmentation. As abundant ions occupy a large fraction of the ion accumulation capacity, we sought to improve MS1 detection of rare analytes by an easily implementable strategy based on gas-phase segmentation of the MS1 scan range, followed by coaccumulation and detection of all ions. The quadrupolar isolation windows used to segment the MS1 scan range are designed to transmit, on average, an equal number of charges, consistent with the parameter used by many recent mass spectrometers to regulate ion trap filling. This strategy, which we named high dynamic range MS1 (HDR-MS1), reduces the contribution of abundant ions to reaching the maximum ion capacity. As a result, HDR MS1 showed improved dynamic range and sensitivity compared to conventional full-range scans, resulting in a higher number of peptides and protein identifications under identical MS2 parameters, less redundant precursor ion sampling, and a higher rate of quantified precursor ions. HDR MS1 scans are compatible with any DDA precursor selection filter and MS2 parameter, and the generated files can be analyzed using any software for peptide-spectral matching and quantification.

Analytical ChemistryVol. 97(42)
Cold Spring Harbor Laboratory (US)
Openalex Percentile: Top 73%
Advanced Proteomics Techniques and Applications
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.

High Dynamic Range Peptide Mass Spectrometry Using Segmented Precursor Ion Accumulation — Paolo Cifani, Maria C. Panepinto, et al. · Analytical Chemistry (2025) | TGRS Research Map | TGRS