Evidence map›Paper›PMID 41273460›Full record

ArticleBiodegradation2025

Assessment of ceramic rings and k1 biofilter as carriers in phenol and COD removal using SB-MBBR using machine learning and statistical technique.

Akankshya, Rakesh Roshan Dash

Abstract read
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Article in Biodegradation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

AkankshyaDepartment of Civil Engg, VSS University of Technology Burla, Sambalpur, Odisha, India.
Rakesh Roshan DashDepartment of Civil Engg, VSS University of Technology, Burla, Odisha, 768018, India. rrdash_ce@vssut.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This investigation evaluates the performance of a sequencing batch moving bed biofilm reactor (SB-MBBR) employing Ceramic Rings and K1 biofilters as biofilm carriers for the removal of phenol and chemical oxygen demand (COD) from synthetic landfill leachate. The SB-MBBR integrates the operational principles of sequencing batch reactors (SBR) and moving bed biofilm reactors (MBBR), operating under aerobic conditions to optimize critical parameters, including contact time, carrier surface area, and filling ratio. The biofilm carriers provided distinct surface areas for microbial colonization, significantly influencing microbial activity and pollutant degradation kinetics. Experimental results demonstrated that phenol and COD removal efficiencies exhibited a logarithmic relationship with increased contact time and carrier surface area. Under optimized conditions, the K1 biofilter achieved maximum removal efficiencies of 94.5% for phenol and 88.7% for COD. Ceramic Rings also exhibited high pollutant removal efficiency, with stable operation at moderate filling ratios. However, excessive carrier concentrations resulted in reduced mixing efficiency, underscoring the necessity of optimizing carrier loading. The study further examined the influence of initial phenol and COD concentrations on biodegradation performance. Elevated initial concentrations led to reduced removal rates due to substrate inhibition, emphasizing the importance of controlled substrate loading. Predictive models, including Random Forest and multiple linear regression, were developed to correlate operational parameters with removal efficiencies, yielding high predictive accuracy. These findings establish the SB-MBBR as a robust and adaptable technology for the treatment of high-strength landfill leachate, providing valuable insights into carrier selection and system optimization for enhanced pollutant removal.

Indexed as

BioreactorsCeramicsPhenolWater Pollutants, ChemicalBiodegradation, EnvironmentalBiofilmsBiological Oxygen Demand AnalysisFiltrationMachine LearningPhenolWater Pollutants, ChemicalCarrierCeramic ringK1 biofilterMachine LearningNitratePhenolSB-MBBR

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Registered trials

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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.