ReviewRSC advances2022
Complete life of cobalt nanoparticles loaded into cross-linked organic polymers: a review.
Review in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 33 citations in OpenAlex.
- Catalytic reduction of aldehydic and nitro groups of nitro-benzaldehyde derivatives by silver nanoparticle-containing smart alginate-poly(RSC advances · 2025Article
- UV-Vis spectroscopy in the characterization and applications of smart microgels and metal nanoparticle-decorated smart microgels: a critical review.RSC advances · 2024Review
- Crosslinked polymeric networks of TiORSC advances · 2024Review
- Classification, synthesis, characterization, and applications of metal nanoparticle-containing hybrid microgels: a comprehensive review.RSC advances · 2024Review
- Reactive Oxygen Species andAntioxidants (Basel, Switzerland) · 2023Review
- Influence of Stacking Sequence on Mechanical Properties of Basalt/Ramie Biodegradable Hybrid Polymer Composites.Polymers · 2023Article
- Study on the Adsorption Behavior of Polymeric Dispersants to S-ZnF Particles during Grinding Process.Materials (Basel, Switzerland) · 2023Article
- Cationic Polystyrene-Based Hydrogels as Efficient Adsorbents to Remove Methyl Orange and Fluorescein Dye Pollutants from Industrial Wastewater.International journal of molecular sciences · 2023Article
- Synthesis of Iron on Carbon Foam for Use in the Removal of Phenol from Aqueous Solutions.Molecules (Basel, Switzerland) · 2023Article
- Catalytic degradation of azo dyes by bimetallic nanoparticles loaded in smart polymer microgels.RSC advances · 2023Article
- Article
- Biomaterials forGut microbesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The unique combination of cobalt (Co) nanoparticles (NPs) and smart polymer microgels is of great interest and has received much attention over the past decade with respect to the production of hydrogen gas and its use in removing toxic dyes from water. The responsive behavior of microgels makes cobalt nanoparticle-loaded microgels most suitable for the production of hydrogen and for the reduction of pollutants in different environments. Different classes of Co NPs in microgels have been reported in the literature. Hybrid microgel formations play an important role in their use. Hence, a specific assembly of Co NPs in microgels has been designed for the synthesis and use of hydrogen to reduce toxic pollutants from water. All progress in the synthesis, classification, characterization, and applications of Co NPs in microgels has been reviewed in this report. Catalytic generation and the use of hydrogen for the reduction of pollutants in the presence of Co NPs loaded into microgels have been discussed in a tutorial manner.
Identifiers
What OpenQuestion holds
Registered trials
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.