ArticleJournal of the American Society for Mass Spectrometry2020
Collision Cross Section Conformational Analyses of Bile Acids via Ion Mobility-Mass Spectrometry.
Article in Journal of the American Society for Mass Spectrometry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Article
- Unlocking the bile acid universe: advanced workflows and a multidimensional library of 280 unique species.Sustainable microbiology · 2026Article
- Assessment of Variable Traveling Wave Profiles for Small-Molecule Applications in Ion Mobility Spectrometry-Mass Spectrometry (IMS-MS).Journal of the American Society for Mass Spectrometry · 2025Article
- Microbiome metabolite quantification methods enabling insights into human health and disease.Methods (San Diego, Calif.) · 2024Review
- Deficiency of the lipid flippase ATP10A causes diet-induced dyslipidemia in female mice.Scientific reports · 2024Article
- Implementation of charged microdroplet-based derivatization of bile acids on a cyclic ion mobility spectrometry-mass spectrometry platform.Analytical methods : advancing methods and applications · 2023Article
- Using Multidimensional Separations to Distinguish Isomeric Amino Acid-Bile Acid Conjugates and Assess Their Presence and Perturbations in Model Systems.Analytical chemistry · 2023Article
- Collision Cross Section Prediction Based on Machine Learning.Molecules (Basel, Switzerland) · 2023Review
- Improving confidence in lipidomic annotations by incorporating empirical ion mobility regression analysis and chemical class prediction.Bioinformatics (Oxford, England) · 2022Article
- A Collision Cross Section Database for Extractables and Leachables from Food Contact Materials.Journal of agricultural and food chemistry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Bile acids serve as one of the most important classes of biological molecules in the gastrointestinal system. Due to their structural similarity, bile acids have historically been difficult to accurately annotate in complex biological matrices using mass spectrometry. They often have identical or nominally similar mass-to-charge ratios and similar fragmentation patterns that make identification by mass spectrometry arduous, normally involving chemical derivatization and separation via liquid chromatography. Here, we demonstrate the use of drift tube ion mobility (DTIM) to derive collision cross section (CCS) values in nitrogen drift gas (
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.