Evidence map›Paper›PMID 38581975›Full record

ArticleJournal of chromatography. A2024

Systematic evaluation of benzoylation for liquid chromatography-mass spectrometry analysis of different analyte classes.

Ashley E Lenhart, Peter-Philip M Booth, Kaley M Simcox, Brianna A Ramos, Robert T Kennedy

Abstract read
In one paragraph

Article in Journal of chromatography. A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ashley E LenhartDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA 48109.
Peter-Philip M BoothDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA 48109.
Kaley M SimcoxDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA 48109.
Brianna A RamosDepartment of Neuroscience, University of Michigan, Ann Arbor, MI, USA 48109.
Robert T KennedyDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA 48109; Department of Pharmacology, University of Michigan, Ann Arbor, MI, USA 48109. Electronic address: rtkenn@umich.edu.

Funding

Deep Analysis of Brain Chemistry at Enhanced Spatial and Temporal Resolution using Microscale Sampling and AnalysisRF1NS128522 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KENNEDY, ROBERT T · 2022 to 2022
$1.4M
NINDS NIH HHS RF1 NS128522
6 · The paper itself

Abstract

LC-MS is an indispensable tool for small molecule analysis in many fields; however, many small molecules require chemical derivatization to improve retention on commonly used reversed-phase columns and increase ionization. Benzoyl chloride (BzCl) derivatization is commonly used for derivatization of primary and secondary amines and phenolic alcohols, though evidence exists that with proper reaction conditions (i.e., specific bases), other hydroxyl groups may be derivatized too. Previous studies have examined BzCl concentration, reaction times, and reaction temperatures for derivatization of amines and phenols for LC-MS analysis; however, use of different bases, base concentration, and extending to conditions to hydroxyl groups for LC-MS analysis has not been well-studied. To address this understudied area and identify reaction conditions for both amino and hydroxyl groups, we performed a systematic study of reaction conditions on multiple classes of potential targets. For selected derivatization methods, detection limits and performance in a variety of biological matrices were assessed. Results highlight the importance of tailoring derivatization methods for a given application as they varied by molecule and/or molecule class. Compared to the standard BzCl method commonly used, alternative methods were identified to better derivatize challenging analytes (glucosamine, choline, cortisol, uridine, cytidine) with detection limits reaching 1100, 9, 38, 170, and 67 nM compared to undetectable, 170, 86, 1000, and 86 nM respectively. Sub-nanomolar detection limits were achieved for norepinephrine with alternative derivatization approaches. Improved derivatization methods for several classes and molecules including nucleosides, steroids, and molecules containing hydroxyl groups were also identified.

Indexed as

BenzoatesAminesCholineHydrocortisoneLimit of DetectionLiquid Chromatography-Mass SpectrometryAminesBenzoatesbenzoyl chlorideCholineHydrocortisoneBenzoyl chlorideChemical derivatizationLiquid chromatography-mass spectrometrySmall molecules

Identifiers

PMID38581975
PMCPMC12182807

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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.