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Record W2110660896 · doi:10.1002/cjce.5450780212

Modelling and analysis of membrane‐attached biofilms

2000· article· en· W2110660896 on OpenAlexvenueno aff
Cristiano Nicolella, Prasert Pavasant, Andrew G. Livingston

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2000
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsnot available
Fundersnot available
KeywordsMass transferMembraneSubstrate (aquarium)DiffusionFlux (metallurgy)LimitingBiofilmChemistryMass transportBiophysicsChemical engineeringChemical physicsMaterials scienceBiochemical engineeringThermodynamicsChromatographyBiologyBiochemistryPhysicsBacteriaOrganic chemistryEcology

Abstract

fetched live from OpenAlex

Abstract The theory of diffusion and reaction has been applied to describe mass transfer and reaction phenomena in membrane‐attached biofilms (MABs) growing in extractive membrane bioreactors (EMBs), and to establish the rate‐limiting mechanisms in these systems. The model formulated accounts for substrate counter‐diffusion and two‐limiting‐substrate reaction within the biofilm. Model simulations are compared to experimental data obtained in a lab‐scale EMB and a simple case study is considered to show how MABs affect performance of EMBs. It is found that the organic substrate flux across the membrane is strongly affected by MABs, which constitute an additional resistance to mass transfer and in most cases reduce the flux across the membrane. As a result of the investigation, it is concluded that the decrease of flux in the presence of MABs, observed experimentally and predicted theoretically, is dominated by the resistance to organic substrate transfer caused by the biofilm.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.010
GPT teacher head0.189
Teacher spread0.179 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2000
Admission routes1
Has abstractyes

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