Evidence map›Paper›PMID 41490910›Full record

ArticleScientific reports2026

Synthesis of silica nanoparticles from rice husk to determine insecticidal properties against Glyphodes pyloalis walker (Lepidoptera: Crambidae).

Farnooshsadat Hosseini-Dastjerdi, Arash Zibaee

Abstract read
In one paragraph

Article in Scientific reports, 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.

Farnooshsadat Hosseini-DastjerdiDepartment of Plant Protection, Faculty of Agricultural Sciences, University of Guilan, P.o.Box: 4199613776, Rasht, Iran.
Arash ZibaeeDepartment of Plant Protection, Faculty of Agricultural Sciences, University of Guilan, P.o.Box: 4199613776, Rasht, Iran. arash.zibaee@guilan.ac.ir.

Funding

University of Guilan 41526-P
6 · The paper itself

Abstract

The technology of producing silica nanoparticles from agricultural waste is the most economical method because of cheapness and abundance of agricultural waste at the end of harvest. Silica nanoparticles induce plant resistance, act as an insecticide by blocking insect spiracles, causing cuticle disruption and increasing the concentration of free radicals. Silica nanoparticles were synthesized from rice husk (SNRH) and their insecticidal properties were evaluated against the larvae of Glyphodes pyloalis Walker through the leaf-dipping method. This evaluation was followed by a qualitative examination using a scanning electron microscope and XRD analysis. The results showed an LC30 of 0. 0.115% for SNRH against fourth instar larvae. Treatment of mulberry leaves with the LC30 concentration influenced biological parameters and statistically decreased nutritional indices including ECD (Efficiency of conversion of digested food), ECI (Efficiency of conversion of ingested food), RCR (Relative consumption rate) and RGR (Relative growth rate). The activity of lipase, trypsin, chymotrypsin, elastase and aminopeptidase decreased in the larvae fed on SNRH-treated leaves. The larvae that consumed SNRH-treated leaves showed higher activity of catalase, peroxidases and superoxide dismutase while other antioxidant enzymes showed no statistical difference compared to control. Our results demonstrated that SNRH had insecticidal properties against G. pyloalis by disrupting the nutritional and antioxidant traits of the larvae.

Indexed as

InsecticidesLepidopteraMothsNanoparticlesOryzaSilicon DioxideAnimalsLarvaPlant LeavesInsecticidesSilicon DioxideBiologyMulberry snout mothPhysiologyRice huskSilica

Identifiers

PMID41490910
PMCPMC12873330

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.