ArticleRSC advances2025
Eco-friendly magnetic activated carbon modified with green tea extract for efficient adsorption of thiazine and azo dye contaminants from water.
Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Effects of activating agent and pyrolysis temperature on the pore structure and adsorption performance of sweet potato vine-based activated carbon.RSC advances · 2026Article
- Engineering novel ceramic metal borates containing carbon for efficient sequestration of Toluidine Blue O from wastewater.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study describes the development of maghemite supported activated carbon (MAC) loaded with green tea extract (GTE), as a high-performance adsorbent for the effective extraction of both thiazine dye (methylene blue, MB) and an azo dye (methyl orange, MO) from water. The composite MAC-GTE was prepared through a straightforward wet-chemical method and demonstrated outstanding dye uptake of 491.47 mg g
Identifiers
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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.