Evidence map›Paper›PMID 40455328›Full record

ArticleJournal of fluorescence2025

Facile Green Synthesis of Silver Nanoparticles Using Euphorbia neriifolia Leaf Extract: A multi-spectroscopic, Calorimetric, Molecular Docking Interaction Studies with Human Serum Albumin.

Somenath Kundu, Basudev Shit, Samaresh Paria, Subhajit Barman, Aziza Nasrin, Putul Karan, Maidul Hossain

Abstract read
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Article in Journal of fluorescence, 2025. 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

7 authors.

Somenath KunduDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India.
Basudev ShitDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India.
Samaresh PariaDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India.
Subhajit BarmanDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India.
Aziza NasrinDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India.
Putul KaranDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India.
Maidul HossainDepartment of Chemistry and Chemical Technology, Vidyasagar University, Midnapore, West Bengal, 721102, India. hossainm@mail.vidyasagar.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sustainable, efficient, and eco-friendly approach was developed to synthesize silver nanoparticles using Euphorbia neriifolia leaf extract. The biosynthesized Euphorbia neriifolia silver nanoparticles (ENSNPs) were comprehensively characterized using several techniques, including absorbance spectroscopy, Fourier transform infrared spectroscopy, high-resolution transmission electron microscopy, field emission scanning electron microscopy, X-ray photoelectron spectroscopy, and dynamic light scattering. ENSNPs quenched the intrinsic fluorescence of human serum albumin (HSA) with a quenching constant of 1.10 ± 0.004 × 10

Indexed as

EuphorbiaGreen Chemistry TechnologyMetal NanoparticlesMolecular Docking SimulationPlant ExtractsPlant LeavesSerum Albumin, HumanSilverCalorimetryHumansSpectrometry, FluorescenceThermodynamicsPlant ExtractsSerum Albumin, HumanSilverFluorescence spectroscopyHuman serum albuminIsothermal titration calorimetryMolecular dockingSilver nanoparticle

Identifiers

PMID40455328

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.