Evidence map›Paper›PMID 33809149›Full record

ReviewFoods (Basel, Switzerland)2021

Suitability of High-Resolution Mass Spectrometry for Routine Analysis of Small Molecules in Food, Feed and Water for Safety and Authenticity Purposes: A Review.

Maxime Gavage, Philippe Delahaut, Nathalie Gillard

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Approaches to determine pesticides in marine bivalves.Analytical and bioanalytical chemistry · 2023
    Review
  10. Article
  11. Novel Analytical Methods in Food Analysis.Foods (Basel, Switzerland) · 2022
    Article
  12. Review
  13. A Review of Pharmaceutical Robot based on Hyperspectral Technology.Journal of intelligent & robotic systems · 2022
    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.

Maxime GavageCER Groupe, Rue du Point du Jour 8, 6900 Marloie, Belgium.ORCID 0000-0003-3723-7047
Philippe DelahautCER Groupe, Rue du Point du Jour 8, 6900 Marloie, Belgium.
Nathalie GillardCER Groupe, Rue du Point du Jour 8, 6900 Marloie, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the last decade, food, feed and environmental analysis using high-resolution mass spectrometry became increasingly popular. Recent accessibility and technological improvements of this system make it a potential tool for routine laboratory work. However, this kind of instrument is still often considered a research tool. The wide range of potential contaminants and residues that must be monitored, including pesticides, veterinary drugs and natural toxins, is steadily increasing. Thanks to full-scan analysis and the theoretically unlimited number of compounds that can be screened in a single analysis, high-resolution mass spectrometry is particularly well-suited for food, feed and water analysis. This review aims, through a series of relevant selected studies and developed methods dedicated to the different classes of contaminants and residues, to demonstrate that high-resolution mass spectrometry can reach detection levels in compliance with current legislation and is a versatile and appropriate tool for routine testing.

Indexed as

feedfoodfood authenticityhigh-resolution mass spectrometrynatural toxinspesticidesroutine testingveterinary drug residueswater

Identifiers

PMID33809149
PMCPMC7998992

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.