Evidence map›Paper›PMID 38334931›Full record

ArticleEnvironmental science and pollution research international2024

Synthesis and characterization of polysiphonia/cerium oxide/nickel oxide nanocomposites for the removal of toxins from contaminated water and antibacterial potential.

Nawal Alarfaj, Nawal Al Musayeib, Musarat Amina, Maha El-Tohamy

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Article in Environmental science and pollution research international, 2024. 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
1.4field-weighted citation impact, top 16% of its field
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, 12 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Nawal AlarfajDepartment of Chemistry, College of Science, King Saud University, P.O. Box 22452, 11495, Riyadh, Saudi Arabia.
Nawal Al MusayeibDepartment of Pharmacognosy, Pharmacy College, King Saud University, P.O. Box 22452, 11495, Riyadh, Saudi Arabia.
Musarat AminaDepartment of Pharmacognosy, Pharmacy College, King Saud University, P.O. Box 22452, 11495, Riyadh, Saudi Arabia.
Maha El-TohamyDepartment of Chemistry, College of Science, King Saud University, P.O. Box 22452, 11495, Riyadh, Saudi Arabia. moraby@ksu.edu.sa.ORCID http://orcid.org/0000-0001-9793-7761
King Saud University · SA

Funding

This research was funded by Researchers Supporting Project number (RSP-2024/272), King Saud University, Riyadh, Saudi Arabia. RSP-2024/272
6 · The paper itself

Abstract

Due to massive industrial development, organic and inorganic wastes are very common in most industrial effluents from the pharmaceutical industry. Even in low concentrations, they are very dangerous and harmful to humans and other living organisms. Antibiotics are frequently detected in surface waters, in soil, in wastewater from sewage treatment plants, and even in drinking water. The major environmental threat they pose has prompted to search for effective and environmentally friendly means of eliminating these toxins. The biogenic synthesis of nanomaterials using natural herbal extracts has attracted considerable attention due to their low-cost, environmentally friendly and non-toxic nature, and as a reversal of various physical and chemical processes. The ceria nanoparticles (CeO

Indexed as

CeriumDrinking WaterEdible SeaweedsNanocompositesNickelRhodophytaAnti-Bacterial AgentsHumansOfloxacinAnti-Bacterial Agentsceric oxideCeriumDrinking WaterNickelnickel monoxideOfloxacinBiosynthesisCerium oxideNanocompositeNickel oxidePolysiphonia urceolataWater treatment

Identifiers

PMID38334931
OpenAlexW4391679631

What OpenQuestion holds

Textmetadata
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.