Evidence map›Paper›PMID 36014155›Full record

ArticleMicromachines2022

Green Production of Functionalized Few-Layer Graphene-Silver Nanocomposites Using Gallnut Extract for Antibacterial Application.

Yingjie Bu, Anamika Kushwaha, Lalit Goswami, Beom-Soo Kim

Abstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Green Synthesis of Silver Nanoparticles UsingInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
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

4 authors.

Yingjie BuDepartment of Chemical Engineering, Chungbuk National University, Cheongju 28644, Chungbuk, Korea.ORCID 0000-0002-0603-8240
Anamika KushwahaDepartment of Chemical Engineering, Chungbuk National University, Cheongju 28644, Chungbuk, Korea.ORCID 0000-0001-7493-1332
Lalit GoswamiDepartment of Chemical Engineering, Chungbuk National University, Cheongju 28644, Chungbuk, Korea.ORCID 0000-0003-2119-568X
Beom-Soo KimDepartment of Chemical Engineering, Chungbuk National University, Cheongju 28644, Chungbuk, Korea.ORCID 0000-0002-7251-7231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, there has been much attention paid to functionalized few-layer graphene (FFG) owing to its many biomedical applications, such as in bioimaging, biosensors, drug delivery, tissue scaffolds, nanocarriers, etc. Hence, the preparation of FFG has now become of great interest to researchers. The present study systematically investigates the utilization of gallnut extract (GNE) during the process of high-shear exfoliation for the efficient conversion of expanded graphite to FFG. Various parameters, such as GNE concentration, graphite concentration, exfoliation time, and the rotation speed of the high-shear mixer, were initially optimized for FFG production. The prepared FFG was characterized in terms of surface functionality and morphology using Raman spectra, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), transmission electron microscopy, and scanning electron microscopy analyses. Further, the conjugation of FFG with Ag was confirmed by XRD, XPS, and energy-dispersive X-ray spectra. The Ag-FFG composite exhibited antibacterial activity against both Gram-positive and Gram-negative bacteria through the agar well diffusion method. This study provides an efficient, economical, and eco-friendly FFG and Ag-FFG production method for biomedical applications.

Indexed as

antibacterial activitygallnut extracthigh-shear exfoliationRaman spectra

Identifiers

PMID36014155
PMCPMC9412497

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.