Application of Predicted Collisional Cross Section to Metabolome Databases to Probabilistically Describe the Current and Future Ion Mobility Mass Spectrometry-Reference-Cited by-同舟云学术

Application of Predicted Collisional Cross Section to Metabolome Databases to Probabilistically Describe the Current and Future Ion Mobility Mass Spectrometry

Published:2021-02-04 Issue:3 Volume:32 Page:661-669
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Broeckling Corey D.¹^ORCID,Yao Linxing¹^ORCID,Isaac Giorgis²,Gioioso Marisa²,Ianchis Valentin³,Vissers Johannes P.C.⁴^ORCID

Affiliation:

1. Analytical Resources Core, Bioanalysis and Omics Center, Colorado State University, Fort Collins, Colorado 80523, United States

2. Waters Corporation, Milford, Massachusetts 01757, United States

3. Waters Corporation, Braşov 500152, Romania

4. Waters Corporation, Wilmslow SK9 4AX, United Kingdom

Funder

National Cancer Institute

Colorado State University

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

https://pubs.acs.org/doi/pdf/10.1021/jasms.0c00375

Reference45 articles.

1. Ion Trapping for Ion Mobility Spectrometry Measurements in a Cyclical Drift Tube

2. Serpentine Ultralong Path with Extended Routing (SUPER) High Resolution Traveling Wave Ion Mobility-MS using Structures for Lossless Ion Manipulations

3. Considerations in experimental and theoretical collision cross-section measurements of small molecules using travelling wave ion mobility spectrometry-mass spectrometry

4. Ion mobility collision cross-section atlas for known and unknown metabolite annotation in untargeted metabolomics

5. Ion mobility mass spectrometry of saponin ions

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