Evidence map›Paper›PMID 40700406›Full record

ArticlePloS one2025

Human health risk assessment of arsenic and potentially toxic elements exposure in bread and wheat flour in Northeast Iran.

Fateme Asadi Touranlou, Sajjad Ghasemi, Mahdi Gholian Aval, Mohammad Hashemi, Seyedeh Belin Tavakoly Sany

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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. 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

5 authors.

Fateme Asadi TouranlouMedical Toxicology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sajjad GhasemiDepartment of Food Science and Technology, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Mahdi Gholian AvalDepartment of Health Promotion and Education, School of Health Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad HashemiMedical Toxicology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyedeh Belin Tavakoly SanySocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-7891-4449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBread, a staple food, is at risk of contamination from heavy metals that pose significant health hazards. This study aimed to assess the levels of heavy metals, including Cu, Zn, Fe, Al, Co, As, Hg, Cr, Ni, Pb, Cd, and V, in bread samples collected from bakeries in Mashhad, Iran, and to evaluate the associated health and carcinogenic risks.

methodsIn this study, the urban area was divided into five regions using simple random sampling. A total of 270 samples, including flour, dough, and bread, were collected from bakeries between June and December 2020. After preparing the samples and applying an acid digestion method, the concentration of heavy metals were determined using an inductively coupled plasma optical emission spectrometer.

resultsLevels of Al, As, Cr, and Fe exceeded WHO and FAO thresholds in all regions. The health risk assessment indicated that non-carcinogenic risks from arsenic and the mean hazard index for bread consumption exceeded 1 in both adults and children, suggesting potential health risks. Moreover, carcinogenic risk indices for both age groups surpassed the acceptable limit (CR > 1 × 10-4) across all regions, indicating potential carcinogenic effects.

conclusionThe findings reveal significant health and carcinogenic risks linked to bread consumption in Mashhad. Continuous monitoring of heavy metal levels in wheat and related food products is recommended to protect public health.

Indexed as

ArsenicBreadFlourFood ContaminationMetals, HeavyTriticumAdultChildDietary ExposureHumansIranRisk AssessmentArsenicMetals, Heavy

Identifiers

PMID40700406
PMCPMC12286368

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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.