Evidence map›Paper›PMID 27677302›Full record

ArticleNanoscale research letters2016

A Convenient Ultraviolet Irradiation Technique for Synthesis of Antibacterial Ag-Pal Nanocomposite.

Shuai Han, He Zhang, Lianwei Kang, Xiaoliang Li, Chong Zhang, Yongjie Dong, Shenjun Qin

Abstract read
In one paragraph

Article in Nanoscale research letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Shuai HanCollege of Science, Hebei University of Engineering, Handan, 056038, Hebei, People's Republic of China.
He ZhangCollege of Life Science, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Lianwei KangCollege of Science, Hebei University of Engineering, Handan, 056038, Hebei, People's Republic of China.
Xiaoliang LiCollege of Science, Hebei University of Engineering, Handan, 056038, Hebei, People's Republic of China.
Chong ZhangCollege of Science, Hebei University of Engineering, Handan, 056038, Hebei, People's Republic of China.
Yongjie DongCollege of Science, Hebei University of Engineering, Handan, 056038, Hebei, People's Republic of China.
Shenjun QinCollege of Science, Hebei University of Engineering, Handan, 056038, Hebei, People's Republic of China. qsjhbhd@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present work, palygorskite (Pal) was initially subjected to an ion-exchange reaction with silver ions (Pal-Ag(+)). Subsequently, Ag-Pal nanocomposites were assembled by a convenient ultraviolet irradiation technique, using carbon dots (CDs) derived from wool fiber as the reducing agent. The obtained nanocomposites were characterized by powder X-ray diffraction (XRD), ultraviolet-visible (UV-vis) spectroscopy, transmission electron microscopy (TEM), and Fourier transform infrared spectroscopy. The XRD patterns and UV-vis absorption spectra confirmed the formation of the Ag nanoparticles (NPs). Meanwhile, the TEM images showed that the Ag NPs, which exhibited sizes in the range of 3-7 nm, were located on the surface of the Pal nanofiber structures. Furthermore, the antibacterial activity of the nanocomposites was evaluated against Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacteria by applying the disc diffusion method and minimum inhibitory concentration test. Owing to their good antibacterial properties, the Ag-Pal nanocomposites are considered to be a promising bactericide with great potential applications.

Indexed as

Ag NPsAntibacterial activitiesCarbon dotsNanocompositePalygorskite

Identifiers

PMID27677302
PMCPMC5039142

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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.