Evidence map›Paper›PMID 37165150›Full record

ArticleMycotoxin research2023

The association of food ingredients in breakfast cereal products and fumonisins production: risks identification and predictions.

Jan Purchase, Rosa Donato, Cristiana Sacco, Lilia Pettini, Anubha Devi Rookmin, Simone Melani, Alice Artese, Diane Purchase, Massimiliano Marvasi

Open access · hybridAbstract read
In one paragraph

Article in Mycotoxin research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

9 authors at 2 institutions in 2 countries.

Jan PurchaseLux Magi Ltd., London, UK.
Rosa DonatoDepartment of Health Sciences, University of Florence, Florence, Italy.
Cristiana SaccoDepartment of Health Sciences, University of Florence, Florence, Italy.
Lilia PettiniDepartment of Health Sciences, University of Florence, Florence, Italy.
Anubha Devi RookminDepartment of Natural Sciences, Middlesex University London, London, UK.
Simone MelaniDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino, Florence, Italy.
Alice ArteseDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino, Florence, Italy.
Diane PurchaseDepartment of Natural Sciences, Middlesex University London, London, UK.
Massimiliano MarvasiDepartment of Biology, University of Florence, Via Madonna del Piano 6, 50019, Sesto Fiorentino, Florence, Italy. massimiliano.marvasi@unifi.it.ORCID http://orcid.org/0000-0001-8525-7232
University of Florence · ITMiddlesex University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breakfast processed products are remarkably at risk of fungal contamination. This research surveyed the fumonisins concentration in different breakfast products and carried out in vitro experiments measuring fumonisins content in different substrates inoculated with Fusarium verticillioides. The pipeline started with the identification of combinations of ingredients for 58 breakfast products. Twenty-three core ingredients, seven nutritional components and production types were analyzed using a Pearson correlation, k-means clustering, and principal component analysis to show that no single factor is responsible for high fumonisins detection in processed cereals products. Consequently, decision tree regression was used as a means of determining and visualizing complex logical interactions between the same factors. We clustered the association of ingredients in low, medium, and high risk of fumonisin detection. The analysis showed that high fumonisins concentration is associated with those products that have high maize concentrations coupled especially with high sodium or rice. In an in vitro experiment, different media were prepared by mixing the ingredients in the proportion found in the first survey and by measuring fumonisins production by Fusarium verticillioides. Results showed that (1) fumonisins production by F. verticillioides is boosted by the synergistic effect of maize and highly ready carbohydrate content such as white flour; (2) a combination of maize > 26% (w/w), rice > 2.5% (w/w), and NaCl > 2.2% (w/w) led to high fumonisins production, while mono-ingredient products were more protective against fumonisins production. The observations in the in vitro experiments appeared to align with the decision tree model that an increase in ingredient complexity can lead to fumonisins production by Fusarium. However, more research is urgently needed to develop the area of predictive mycology based on the association of processing, ingredients, fungal development, and mycotoxins production.

Indexed as

Food IngredientsFumonisinsFusariumOryzaBreakfastEdible GrainZea maysFood IngredientsFumonisinsCerealsDecision modelFlourFumonisinsFusariumMycotoxins

Identifiers

PMID37165150
PMCPMC10393861
OpenAlexW4376131427

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.