ArticleScientific reports2024
Mathematical modeling and machine learning-based optimization for enhancing biofiltration efficiency of volatile organic compounds.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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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.
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Who cites it
3 citing papers in PubMed.
- Assessing the Feasibility of Bioscrubbing for Flue Gas Treatment and Sulfur Recovery: A Comparative Study Using Mathematical Modeling, Life Cycle Analysis, and Life Cycle Costing.ACS environmental Au · 2026Article
- AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.iScience · 2026Review
- Environmental modulation enhances benzene phytoremediation by Aglaonema and Dracaena in indoor settings.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biofiltration is a method of pollution management that utilizes a bioreactor containing live material to absorb and destroy pollutants biologically. In this paper, we investigate mathematical models of biofiltration for mixing volatile organic compounds (VOCs) for instance hydrophilic (methanol) and hydrophobic (
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Registered trials
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