ReviewRSC advances2026
Functionalized biochar for plasticizer remediation in aquatic systems: synergistic adsorption and advanced oxidation strategies.
Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biochar-based treatment strategies have received growing interest; however, no comprehensive review has systematically assessed the mechanisms and performance of functionalized biochar for plasticizer remediation. This review critically compares pristine biochar and its advances in biochar modifications for plasticizer adsorption. Additionally, it unveils how functionalized biochar integrates with advanced oxidation processes (AOPs) to achieve synergistic adsorption and degradation of plasticizers in water. As different studies have used varying initial concentrations, a direct comparison is not appropriate. Therefore, the partition coefficient (PC) was determined to enable a normalized and insightful comparison. The modified biochar exhibited higher PC values (0.179-42.7 L g
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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.