Coupling Online Size Exclusion Chromatography with Charge Detection-Mass Spectrometry Using Hadamard Transform Multiplexing

Charge detection mass spectrometry (CD-MS) is a powerful technique for the analysis of large, heterogeneous biomolecules. By directly measuring the charge states of individual ions, CD-MS can measure the masses from spectra where conventional deconvolution approaches fail due to the lack of isotopic resolution or distinguishable charge states. However, CD-MS is inherently slow because hundreds or thousands of spectra need to be collected to produce adequate ion statistics. The slower speed of CD-MS complicates efforts to couple it with online separation techniques, which limit the number of spectra that can be acquired during a chromatographic peak. Here, we present the application of Hadamard transform multiplexing to online size exclusion chromatography (SEC) coupled with Orbitrap CD-MS, with a goal of using SEC for separating complex mixtures prior to CD-MS analysis. We developed a microcontroller to deliver pulsed injections from a large sample loop onto a SEC for online CD-MS analysis. Data showed a series of peaks spaced according to the pseudorandom injection sequence, which were demultiplexed with a Hadamard transform algorithm. The demultiplexed data revealed improved CD-MS signals while preserving retention time information. This multiplexing approach provides a general solution to the inherent incompatibilities of online separations and CD-MS detection that will enable a range of applications.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2024-10-11
DOI
https://doi.org/10.1021/acs.analchem.4c03248
Citations
5
Primary Topic
Analytical Chemistry and Chromatography
Type
article
Field-Weighted Citation Impact
1.20

Funders

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

Coupling Online Size Exclusion Chromatography with Charge Detection-Mass Spectrometry Using Hadamard Transform Multiplexing

James D. Sanders, Michael Thomas Marty, Brian H. Tran, October Owen et al.
5 citations
Analytical Chemistry
Analytical Chemistry and Chromatography
1.20
article

Coupling Online Size Exclusion Chromatography with Charge Detection-Mass Spectrometry Using Hadamard Transform Multiplexing

James D. Sanders, Michael Thomas Marty, Brian H. Tran, October Owen, Jeffrey Mosqueira
article en
5 citations

Abstract

Charge detection mass spectrometry (CD-MS) is a powerful technique for the analysis of large, heterogeneous biomolecules. By directly measuring the charge states of individual ions, CD-MS can measure the masses from spectra where conventional deconvolution approaches fail due to the lack of isotopic resolution or distinguishable charge states. However, CD-MS is inherently slow because hundreds or thousands of spectra need to be collected to produce adequate ion statistics. The slower speed of CD-MS complicates efforts to couple it with online separation techniques, which limit the number of spectra that can be acquired during a chromatographic peak. Here, we present the application of Hadamard transform multiplexing to online size exclusion chromatography (SEC) coupled with Orbitrap CD-MS, with a goal of using SEC for separating complex mixtures prior to CD-MS analysis. We developed a microcontroller to deliver pulsed injections from a large sample loop onto a SEC for online CD-MS analysis. Data showed a series of peaks spaced according to the pseudorandom injection sequence, which were demultiplexed with a Hadamard transform algorithm. The demultiplexed data revealed improved CD-MS signals while preserving retention time information. This multiplexing approach provides a general solution to the inherent incompatibilities of online separations and CD-MS detection that will enable a range of applications.

Analytical ChemistryVol. 96(42)
University of Arizona (US)
National Science Foundation
Reduced inequalities
Openalex Percentile: Top 23%
Analytical Chemistry and Chromatography
1.20
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.