Evidence map›Paper›PMID 35683124›Full record

ArticleMaterials (Basel, Switzerland)2022

Non-Thermal Plasma Reduction of Ag

Noor Ul Huda Altaf, Muhammad Yasin Naz, Shazia Shukrullah, Madiha Ghamkhar, Muhammad Irfan, Saifur Rahman, Tomasz Jakubowski, Esam A Alqurashi, Adam Glowacz, Mater H Mahnashi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Noor Ul Huda AltafDepartment of Physics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.ORCID 0000-0002-2208-3164
Muhammad Yasin NazDepartment of Physics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
Shazia ShukrullahDepartment of Physics, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
Madiha GhamkharDepartment of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.
Muhammad IrfanElectrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 11001, Saudi Arabia.ORCID 0000-0003-4161-6875
Saifur RahmanElectrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 11001, Saudi Arabia.ORCID 0000-0002-7262-183X
Tomasz JakubowskiFaculty of Production and Power Engineering, University of Agriculture in Krakow, Balicka 116 B Str., 30-149 Krakow, Poland.ORCID 0000-0002-5141-2705
Esam A AlqurashiDepartment of Chemistry, Faculty of Science, University of Albaha, Albaha 1988, Saudi Arabia.
Adam GlowaczDepartment of Electrical Engineering, Cracow University of Technology, Warszawska 24 Str., 31-155 Krakow, Poland.ORCID 0000-0003-0546-7083
Mater H MahnashiDepartment of Pharmaceutical Chemistry, College of Pharmacy, Najran University, Najran 61441, Saudi Arabia.ORCID 0000-0002-4837-3653

Funding

The authors acknowledge the support from the Deanship of Scientific Research, Najran University. Kingdom of Saudi Arabia, for funding this work under the Research Collaboration funding program grant code number (NU/RC/SERC/11/2). NU/RC/SERC/11/2
6 · The paper itself

Abstract

An environmentally friendly non-thermal DC plasma reduction route was adopted to reduce Ag+ ions at the plasma−liquid interface into silver nanoparticles (AgNPs) under statistically optimized conditions for biological and photocatalytic applications. The efficiency and reactivity of AgNPs were improved by statistically optimizing the reaction parameters with a Box−Behnken Design (BBD). The size of the AgNPs was chosen as a statistical response parameter, while the concentration of the stabilizer, the concentration of the silver salt, and the plasma reaction time were chosen as independent factors. The optimized parameters for the plasma production of AgNPs were estimated using a response surface methodology and a significant model p < 0.05. The AgNPs, prepared under optimized conditions, were characterized and then tested for their antibacterial, antioxidant, and photocatalytic potentials. The optimal conditions for these three activities were 3 mM of stabilizing agent, 5 mM of AgNO3, and 30 min of reaction time. Having particles size of 19 to 37 nm under optimized conditions, the AgNPs revealed a 82.3% degradation of methyl orange dye under UV light irradiation. The antibacterial response of the optimized AgNPs against S. aureus and E. coli strains revealed inhabitation zones of 15 mm and 12 mm, respectively, which demonstrate an antioxidant activity of 81.2%.

Indexed as

antioxidant activityplasma reduction reactionresponse surface methodologysilver nanoparticleswastewater treatment

Identifiers

PMID35683124
PMCPMC9181389

What OpenQuestion holds

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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 OpenQuestion graph.