Evidence map›Paper›PMID 42034969›Full record

ArticleBMC plant biology2026

Mitigation of salinity stress in tomato using green-synthesized silver nanoparticles derived from Teucrium stocksianum.

Soheila Aghaei Dargiri, Davood Samsampour

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Soheila Aghaei DargiriHorticulture Sciences Department, Faculty of Agriculture and Natural Resource, University of Hormozgan, Bandar Abbas, Hormozgan, Iran.ORCID http://orcid.org/0000-0001-8674-266X
Davood SamsampourHorticulture Sciences Department, Faculty of Agriculture and Natural Resource, University of Hormozgan, Bandar Abbas, Hormozgan, Iran. Samsampoor@hormozgan.ac.ir.ORCID http://orcid.org/0000-0001-9931-6993

Funding

University of Hormozgan No. 402/D/20508
6 · The paper itself

Abstract

Salinity is a critical stress that severely limits tomato (Solanum lycopersicum) seed germination and early seedling growth. Green-synthesized silver nanoparticles (AgNPs) have emerged as a promising strategy to enhance plant tolerance to such abiotic stresses by modulating physiological and biochemical processes. In this study, a factorial experiment in a completely randomized design was conducted to evaluate the effects of green-synthesized AgNPs derived from Teucrium stocksianum at 0, 20, 40, and 60 ppm on tomato germination and early seedling growth under different salinity levels (0, 50, 100, and 150 mM NaCl). AgNPs were characterized using FESEM, FTIR, and XRD, confirming their crystalline structure and successful plant-mediated synthesis. Antioxidant activity measured via DPPH and ABTS assays increased with concentration, reaching 50-100% inhibition. At 150 mM NaCl, AgNPs at 20 ppm enhanced seed germination by 93.33%, accelerated germination rate, reduced mean germination time, and significantly increased stem length (85.2%), root length (125%), and seedling biomass compared to the control .These findings demonstrate that green-synthesized AgNPs provide a novel, environmentally friendly approach to mitigate salinity stress and enhance germination and early seedling growth of tomato under controlled conditions.

Indexed as

Metal NanoparticlesSalt StressSilverSolanum lycopersicumTeucriumAntioxidantsGerminationGreen Chemistry TechnologySeedlingsAntioxidantsSilverGreen nanotechnologySalinity stressSilver nanoparticlesTeucrium stocksianumTomato

Identifiers

PMID42034969
PMCPMC13251146

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.