Evidence map›Paper›PMID 38982378›Full record

ArticleBMC microbiology2024

Design of a two functional permeable reactive barrier for synergistic enzymatic and microbial bioremediation of phenol-contaminated waters: laboratory column evaluation : Enzymatic and microbial bioremediation of phenol in a bilayer permeable reactive barrier.

Sayed Hossein Mirdamadian, Sedigheh Asad, Seyed Mohammad Mehdi Dastgheib, Hamid Moghimi

Abstract read
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Article in BMC microbiology, 2024. 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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1 · What the graph read from it

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.

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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Sayed Hossein MirdamadianDepartment of Microbiology, School of Biology, College of Science, University of Tehran, Tehran, Iran.
Sedigheh AsadDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran. asad@ut.ac.ir.
Seyed Mohammad Mehdi DastgheibMicrobiology and Biotechnology Research Group, Research Institute of Petroleum Industry, Tehran, Iran.
Hamid MoghimiDepartment of Microbiology, School of Biology, College of Science, University of Tehran, Tehran, Iran. hmoghimi@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to develop a system using a combination of enzymatic and microbial degradation techniques for removing phenol from contaminated water. In our prior research, the HRP enzyme extracted from horseradish roots was utilized within a core-shell microcapsule to reduce phenolic shock, serving as a monolayer column. To complete the phenol removal process, a second column containing degrading microorganisms was added to the last column in this research. Phenol-degrading bacteria were isolated from different microbial sources on a phenolic base medium. Additionally, encapsulated calcium peroxide nanoparticles were used to provide dissolved oxygen for the microbial population. Results showed that the both isolated strains, WC1 and CC1, were able to completely remove phenol from the contaminated influent water the range within 5 to 7 days, respectively. Molecular identification showed 99.8% similarity for WC1 isolate to Stenotrophomonas rizophila strain e-p10 and 99.9% similarity for CC1 isolate to Bacillus cereus strain IAM 12,605. The results also indicated that columns using activated sludge as a microbial source had the highest removal rate, with the microbial biofilm completely removing 100% of the 100 mg/L phenol concentration in contaminated influent water after 40 days. Finally, the concurrent use of core-shell microcapsules containing enzymes and capsules containing Stenotrophomonas sp. WC1 strain in two continuous column reactors was able to completely remove phenol from polluted water with a concentration of 500 mg/L for a period of 20 days. The results suggest that a combination of enzymatic and microbial degrading systems can be used as a new system to remove phenol from polluted streams with higher concentrations of phenol by eliminating the shock of phenol on the microbial population.

Indexed as

Biodegradation, EnvironmentalPhenolWater Pollutants, ChemicalArmoraciaBacillus cereusBacteriaBiofilmsHorseradish PeroxidaseSewageWater PurificationHorseradish PeroxidasePhenolSewageWater Pollutants, ChemicalBioremediationHorseradish peroxidaseMicrobial degradationPermeable reactive barrierPhenol

Identifiers

PMID38982378
PMCPMC11232256

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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.