Evidence map›Paper›PMID 21953111›Full record

ArticleJournal of the American Society for Mass Spectrometry2011

Direct detection of pharmaceuticals and personal care products from aqueous samples with thermally-assisted desorption electrospray ionization mass spectrometry.

Ian S Campbell, Alain T Ton, Christopher C Mulligan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-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

3 citing papers in PubMed, 28 citations in OpenAlex.

  1. Mass-Spectrometry-Based Research of Cosmetic Ingredients.Molecules (Basel, Switzerland) · 2024
    Review
  2. Article
  3. A review of the pharmaceutical exposome in aquatic fauna.Environmental pollution (Barking, Essex : 1987) · 2018
    Review
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

3 authors at 1 institution in 1 country.

Ian S CampbellDepartment of Chemistry, Illinois State University, Normal, IL 61790, USA.
Alain T Ton
Christopher C Mulligan
Illinois State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ambient mass spectrometric method based on desorption electrospray ionization (DESI) has been developed to allow rapid, direct analysis of contaminated water samples, and the technique was evaluated through analysis of a wide array of pharmaceutical and personal care product (PPCP) contaminants. Incorporating direct infusion of aqueous sample and thermal assistance into the source design has allowed low ppt detection limits for the target analytes in drinking water matrices. With this methodology, mass spectral information can be collected in less than 1 min, consuming ~100 μL of total sample. Quantitative ability was also demonstrated without the use of an internal standard, yielding decent linearity and reproducibility. Initial results suggest that this source configuration is resistant to carryover effects and robust towards multi-component samples. The rapid, continuous analysis afforded by this method offers advantages in terms of sample analysis time and throughput over traditional hyphenated mass spectrometric techniques.

Indexed as

CosmeticsDrinking WaterEnvironmental MonitoringHot TemperaturePharmaceutical PreparationsReproducibility of ResultsSensitivity and SpecificitySpectrometry, Mass, Electrospray IonizationWater Pollutants, ChemicalCosmeticsDrinking WaterPharmaceutical PreparationsWater Pollutants, Chemical

Identifiers

PMID21953111
OpenAlexW2055057794

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.