Evidence map›Paper›PMID 27924493›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Citric Acid Capped Iron Oxide Nanoparticles as an Effective MALDI Matrix for Polymers.

Qiaoli Liang, Jennifer Sherwood, Thomas Macher, Joseph M Wilson, Yuping Bao, Carolyn J Cassady

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 18 citations in OpenAlex.

  1. Laser Desorption/Ionization on Au@TiONanomaterials (Basel, Switzerland) · 2024
    Article
  2. Study on Biogenic Spindle-Shaped Iron-Oxide Nanoparticles byInternational journal of molecular sciences · 2022
    Article
  3. Article
  4. Article
  5. 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

6 authors at 1 institution in 1 country.

Qiaoli LiangDepartment of Chemistry, The University of Alabama, Tuscaloosa, AL, 35487, USA. liang005@ua.edu.ORCID 0000-0002-2395-8778
Jennifer SherwoodDepartment of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, 35487, USA.
Thomas MacherDepartment of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, 35487, USA.
Joseph M WilsonDepartment of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, 35487, USA.
Yuping BaoDepartment of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, AL, 35487, USA.
Carolyn J CassadyDepartment of Chemistry, The University of Alabama, Tuscaloosa, AL, 35487, USA.
University of Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new matrix-assisted laser desorption ionization (MALDI) mass spectrometry matrix is proposed for molecular mass determination of polymers. This matrix contains an iron oxide nanoparticle (NP) core with citric acid (CA) molecules covalently bound to the surface. With the assistance of additives, the particulate nature of NPs allows the matrix to mix uniformly with polar or nonpolar polymer layers and promotes ionization, which may simplify matrix selection and sample preparation procedures. Several distinctively different polymer classes (polyethyleneglycol (PEG), polywax/polyethylene, perfluoropolyether, and polydimethylsiloxane) are effectively detected by the water or methanol dispersed NPCA matrix with NaCl, NaOH, LiOH, or AgNO

Indexed as

Citric acid capped iron oxide nanoparticlesPolymer MADLI matrix

Identifiers

PMID27924493
OpenAlexW2560127533

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.