Selected Ion Monitoring for Orbitrap-Based Metabolomics

Author:

Lu Wenyun123ORCID,McBride Matthew J.14ORCID,Lee Won Dong1ORCID,Xing Xi123,Xu Xincheng12,Li Xi123,Oschmann Anna M.12,Shen Yihui135,Bartman Caroline16,Rabinowitz Joshua D.12378

Affiliation:

1. Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA

2. Department of Chemistry, Princeton University, Princeton, NJ 08544, USA

3. DOE Center for Advanced Bioenergy and Bioproducts Innovation, Princeton University, Princeton, NJ 08544, USA

4. Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ 08854, USA

5. Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA

6. Department of Pharmacology, University of Pennsylvania, Philadelphia, PA 19104, USA

7. Rutgers Cancer Institute of New Jersey (CINJ), Rutgers University, New Brunswick, NJ 08901, USA

8. Ludwig Institute for Cancer Research, Princeton University, Princeton, NJ 08544, USA

Abstract

Orbitrap mass spectrometry in full scan mode enables the simultaneous detection of hundreds of metabolites and their isotope-labeled forms. Yet, sensitivity remains limiting for many metabolites, including low-concentration species, poor ionizers, and low-fractional-abundance isotope-labeled forms in isotope-tracing studies. Here, we explore selected ion monitoring (SIM) as a means of sensitivity enhancement. The analytes of interest are enriched in the orbitrap analyzer by using the quadrupole as a mass filter to select particular ions. In tissue extracts, SIM significantly enhances the detection of ions of low intensity, as indicated by improved signal-to-noise (S/N) ratios and measurement precision. In addition, SIM improves the accuracy of isotope-ratio measurements. SIM, however, must be deployed with care, as excessive accumulation in the orbitrap of similar m/z ions can lead, via space-charge effects, to decreased performance (signal loss, mass shift, and ion coalescence). Ion accumulation can be controlled by adjusting settings including injection time and target ion quantity. Overall, we suggest using a full scan to ensure broad metabolic coverage, in tandem with SIM, for the accurate quantitation of targeted low-intensity ions, and provide methods deploying this approach to enhance metabolome coverage.

Funder

DOE Center for Advanced Bioenergy and Bioproducts Innovation

Rutgers Cancer Institute of New Jersey Center

UPenn Diabetes Research Center

The Ludwig Princeton Branch

Publisher

MDPI AG

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