Evidence map›Paper›PMID 28698997›Full record

Article3 Biotech2017

Zinc oxide-curcumin nanocomposite loaded collagen membrane as an effective material against methicillin-resistant coagulase-negative Staphylococci.

K R Soumya, S Snigdha, Sheela Sugathan, Jyothis Mathew, E K Radhakrishnan

Abstract read
In one paragraph

Article in 3 Biotech, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

K R SoumyaSchool of Biosciences, Mahatma Gandhi University, PD Hills (PO), Kottayam, Kerala, 686 560, India.
S SnigdhaInternational and Inter University Centre for Nanoscience and Nanotechnology, Mahatma Gandhi University, PD Hills (PO), Kottayam, Kerala, 686 560, India.
Sheela SugathanSree Narayana Institute of Medical Sciences, Chalakka, Ernakulam, Kerala, 683 594, India.
Jyothis MathewSchool of Biosciences, Mahatma Gandhi University, PD Hills (PO), Kottayam, Kerala, 686 560, India.
E K RadhakrishnanSchool of Biosciences, Mahatma Gandhi University, PD Hills (PO), Kottayam, Kerala, 686 560, India. radhakrishnanek@mgu.ac.in.ORCID http://orcid.org/0000-0003-2688-701X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zinc oxide nanoparticles and curcumin are excellent antimicrobial agents. They have the potential to be used as alternative to antibiotics in wound infection management. In this study, ZnO-curcumin nanocomposite was synthesized and characterized. Physical adsorption of the nanocomposite onto collagen skin wound dressing was conducted and structural investigation was carried out by SEM. Antimicrobial assay, minimum inhibitory concentration (MIC), and viability assays of different concentrations of nanocomposite loaded collagen membrane were conducted against clinically isolated methicillin-resistant coagulase-negative Staphylococci (MRCoNS), such as S. epidermidis, S. hemolyticus, and S. saprophyticus. The nanocomposite showed excellent anti-CoNS activity on time kill assay with the MIC value of 195 µg/mL against S. epidermidis, S. hemolyticus and 390 µg/mL against S. saprophyticus. The nanocomposite loaded collagen membrane also showed excellent in vitro antistaphylococcal activity. This study may lead to the development of antibiotic alternate strategies to control and limit the MRCoNS in wound-related infections.

Indexed as

AntistaphylococcalCurcuminMethicillin-resistant coagulase-negative StaphylococciNanocompositeZinc oxide

Identifiers

PMID28698997
PMCPMC5505875

What OpenQuestion holds

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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 OpenQuestion graph.