Evidence map›Paper›PMID 35622576›Full record

ReviewToxins2022

Overview of Recent Liquid Chromatography Mass Spectrometry-Based Methods for Natural Toxins Detection in Food Products.

Annalisa De Girolamo, Vincenzo Lippolis, Michelangelo Pascale

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 76 citations in OpenAlex.

  1. Aflatoxin exposure and health impacts: global burden and advances in detection technologies.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2026
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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 2 institutions in 1 country.

Annalisa De GirolamoInstitute of Sciences of Food Production (ISPA), National Research Council of Italy (CNR), 70126 Bari, Italy.ORCID 0000-0002-3155-8002
Vincenzo LippolisInstitute of Sciences of Food Production (ISPA), National Research Council of Italy (CNR), 70126 Bari, Italy.ORCID 0000-0002-2729-9626
Michelangelo PascaleInstitute of Food Sciences (ISA), National Research Council (CNR), 83100 Roma, Italy.
Institute of Sciences of Food Production · ITInstitute of Food Science · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural toxins include a wide range of toxic metabolites also occurring in food and products, thus representing a risk for consumer health. In the last few decades, several robust and sensitive analytical methods able to determine their occurrence in food have been developed. Liquid chromatography mass spectrometry is the most powerful tool for the simultaneous detection of these toxins due to its advantages in terms of sensitivity and selectivity. A comprehensive review on the most relevant papers on methods based on liquid chromatography mass spectrometry for the analysis of mycotoxins, alkaloids, marine toxins, glycoalkaloids, cyanogenic glycosides and furocoumarins in food is reported herein. Specifically, a literature search from 2011 to 2021 was carried out, selecting a total of 96 papers. Different approaches to sample preparation, chromatographic separation and detection mode are discussed. Particular attention is given to the analytical performance characteristics obtained in the validation process and the relevant application to real samples.

Indexed as

FurocoumarinsMycotoxinsChromatography, LiquidMarine ToxinsMass SpectrometryFurocoumarinsMarine ToxinsMycotoxinsanalytical methodsfoodliquid chromatography-mass spectrometrynatural toxinssimultaneous detection

Identifiers

PMID35622576
PMCPMC9143482
OpenAlexW4225377486

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.