Evidence map›Paper›PMID 39479635›Full record

ArticleFood science & nutrition2024

Distribution of phthalate esters and their metabolites in peanut plant during the entire growth period and their dietary risk assessment of peanuts in China.

Lixia Fan, Changying Guo, Bingchun Zhang, Mingxiao Ning, Xianfeng Ren

Abstract read
In one paragraph

Article in Food science & nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

5 authors.

Lixia FanInstitute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan China.
Changying GuoInstitute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan China.
Bingchun ZhangInstitute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan China.
Mingxiao NingInstitute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan China.ORCID https://orcid.org/0000-0002-3247-2729
Xianfeng RenInstitute of Quality Standard and Testing Technology for Agro-Products Shandong Academy of Agricultural Sciences Jinan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the remediation potential of peanut plants to phthalate esters (PAEs) contamination, the absorption and accumulation patterns of dibutyl phthalate (DBP), bis (2-ethylhexyl) phthalate (DEHP), and diisononyl ortho-phthalate (DINP), as well as their metabolites-monoalkyl phthalate esters (MPEs), monobutyl phthalate (MBP), monoethylhexyl phthalate (MEHP), and monoisononyl phthalate (MINP), were examined in peanut plant during the entire growth period. It was found that the amounts of DBP and MBP in peanut plants correlated positively, when the DBP content is high, the MBP content is also high, as well as DEHP and MEHP. Additionally, the root contained the highest overall concentrations of DBP, DEHP, DINP, MBP, and MEHP over the course of the growth cycle. To evaluate PAEs contamination and dietary risk of peanuts in China, 18 PAEs and seven MPEs in 490 peanut samples collected from 17 provinces of China were detected by UPLC-MS/MS, the detection rate of 18 selected PAE in peanut was 100%. The dietary risk assessment suggested that the general population and high consuming population are not at risk of non-carcinogenic from the PAEs and MPEs found in peanuts of China. There is no need for the general consumption group to take any precautions against the carcinogenic risk of DEHP, and the high consumption group's carcinogenic risk is also within an acceptable range.

Indexed as

accumulationcontaminationexposure riskmetabolismPAEs

Identifiers

PMID39479635
PMCPMC11521647

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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.