Evidence map›Paper›PMID 41164116›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2025

Unraveling the potential of zinc oxide nanoparticles on alleviating arsenic toxicity in wheat (

Eimaan Aamer, Muhammad Saeed, Faroha Liaqat, Muhammad Ramzan Khan, Muhammad Kashif Naeem, Ghazala Mustafa, Riffat Naseem Malik

Abstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2025. 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. Article
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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

7 authors.

Eimaan AamerDepartment of Environmental Sciences, Quaid-I-Azam University, Islamabad, 45320 Pakistan.
Muhammad SaeedDepartment of Environmental Sciences, Quaid-I-Azam University, Islamabad, 45320 Pakistan.
Faroha LiaqatDepartment of Chemistry, Quaid-I-Azam University, Islamabad, 45320 Pakistan.
Muhammad Ramzan KhanNational Institute for Genomics and Advanced Biotechnology, National Agricultural Research Center, Islamabad, Pakistan.
Muhammad Kashif NaeemNational Institute for Genomics and Advanced Biotechnology, National Agricultural Research Center, Islamabad, Pakistan.
Ghazala MustafaDepartment of Plant Sciences, Quaid-I-Azam University, Islamabad, 45320 Pakistan.
Riffat Naseem MalikDepartment of Environmental Sciences, Quaid-I-Azam University, Islamabad, 45320 Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zinc oxide nanoparticles (ZnO-NPs) have recently been used to alleviate arsenic (As) phytotoxicity in crops. However, no comparative research has assessed the potential of chemically and biologically synthesized ZnO-NPs in wheat varieties under As stress. Therefore, the present study conducted a comparative assessment of two ZnO-NPs to alleviate As stress in two wheat varieties (BARANI-70 and NARC-2009). In a hydroponic experiment (28-30 days), varieties were exposed to arsenate stress (200 uM/L), chemically synthesized ZnO-NPs, and biologically synthesized ZnO-NPs (100 mg/L and 200 mg/L). The present study performed histological analyses to assess the role of ZnO-NPs in alleviating As stress at the cellular level. Furthermore, the quantification of zinc (Zn) and As was carried out in wheat tissues. The present research examined the activities of antioxidant enzymes and secondary metabolites in alleviating As-induced oxidative stress by ZnO-NPs. Chemically synthesized NPs (100 mg/L) lowered oxidative stress markers (MDA, H Supplementary Information: The online version contains supplementary material available at 10.1007/s12298-025-01590-6.

Indexed as

Food securityNanotechonlogySustainabilityTolerance

Identifiers

PMID41164116
PMCPMC12559522

What OpenQuestion holds

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Registered trials

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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.