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Record W2043104892 · doi:10.2118/2004-060

Biodegradation of Methyl and Dimethyl Naphthalenes in a Bead Mill Bioreactor

2004· article· en· W2043104892 on OpenAlexaffabout
R. Rieß, Mehdi Nemati, Geoffrey E. Hill, John V. Headley

Bibliographic record

VenueCanadian International Petroleum Conference · 2004
Typearticle
Languageen
FieldChemistry
TopicDye analysis and toxicity
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Saskatchewan
Fundersnot available
KeywordsBiodegradationBeadBioreactorMillPulp and paper industryChemistryWaste managementMaterials scienceComposite materialEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Mass transfer and biodegradation of naphthalene and methyl and dimethyl substituted naphthalenes were studied in a novel bead mill bioreactor and in a conventional roller bioreactor. For all tested PAH compounds, mass transfer rates in the bead mill bioreactor were significantly faster than those in the roller bioreactor. The volumetric mass transfer coefficient for naphthalene, 2-methyl naphthalene and 1,5- dimethyl naphthalene, determined in the bead mill bioreactor, were as high as 0.71, 0.12, 0.31 h-1, respectively. These values indicate that the mass transfer rate was dependent on the structure and physical properties of the PAH compound. The candidate bacterium used in this study (Pseudomonas putida ATCC 17484) was able to utilize both naphthalene and 2- methyl naphthalene but was incapable of efficient degradation of 1,5-dimethyl naphthalene. The biodegradation rate of naphthalene and 2-methyl naphthalene in the bead mill bioreactor were 57.6 and 11.4 mg/L-h, respectively. These rates were significantly faster than those achieved in the conventional roller bioreactor (10.5, 2.7 mg/L-h for naphthalene and 2- methyl naphthalene, respectively). The presence of naphthalene in the bioreactor resulted in a 37% increase in biodegradation rate of 2-methyl naphthalene during co metabolism experiments. Introduction Contamination of surface and ground waters with organic pollutants is a major environmental concern in North America. Many of these pollutants are composed of a variety of polycyclic aromatic hydrocarbons (PAHs) which are known to be carcinogenic, mutagenic and toxic [1, 2]. In Western Canada, PAHs and recalcitrant naphthenic acids co-occur with a diverse range of hydrocarbons present in oil sand deposits. In situ bioremediation has appeared as a promising approach for cleanup of contaminated sites, but it is a very slow process and cannot be controlled effectively, leading to uncertainty about the outcomes of implementing such a clean-up process [1,3]. Utilization of microbial cells with the ability to decompose PAHs in a controlled environment (ex-situ bioremediation) has improved both biodegradation rate and efficiency of the treatment process. One of the main barriers in successful ex-situ bioremediation of PAHs and recalcitrant naphthenic acids is the hydrophobicity and partial solubility of these compounds in aqueous phases, resulting in appreciable mass transfer limitations within the bioreactor. Stirred tank bioreactors offer an advantage with respect to mass transfer from the solid phase to the liquid phase but inherent to the design of stirred tank bioreactors, particles will always cling to the agitation system, baffles and walls. This together with lifting and separation of particles from the liquid phase by sparged air, required for the metabolism of the microbial cells, prevent the efficient biodegradation of PAHs. These problems could be overcome in a conventional roller bioreactor but even in this system mass transfer limitation is still a barrier in efficient biodegradation of PAHs [4–5]. To address this challenge we have developed a novel Bead Mill Bioreactor (BMB), in which inert particles (glass beads) are used for improving mass transfer from the solid and gas phases into the aqueous phase.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.242
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2004
Admission routes2
Has abstractyes

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