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Record W2409923065 · doi:10.1002/jctb.5032

Continuous hydrogen production using upflow anaerobic sludge blanket reactors: effect of organic loading rate on microbial dynamics and <scp>H<sub>2</sub></scp> metabolism

2016· article· en· W2409923065 on OpenAlexafffund
Sathyanarayanan S. Veeravalli, Jerald A. Lalman, Subba Rao Chaganti, Daniel D. Heath

Bibliographic record

VenueJournal of Chemical Technology & Biotechnology · 2016
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of Windsor
KeywordsMethanogenesisPropionateHydraulic retention timeHydrogen productionChemistryPulp and paper industryBiohydrogenAcidogenesisAnaerobic exerciseBlanketChemical oxygen demandMethaneAnaerobic digestionHydrogenWastewaterFood scienceEnvironmental scienceEnvironmental engineeringBiochemistryBiologyMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Enriching hydrogen ( H 2 )‐producing bacteria by suppressing methane‐ producing microorganisms is a critical step in continuous biological H 2 production. Selective inhibition of methanogens can be achieved by varying the organic loading rate ( OLR ) in continuous reactors. In this study, continuous H 2 production was examined using mixed anaerobic cultures fed glucose in upflow anaerobic sludge blanket reactors ( UASBRs ) operating at 37°C and at pH 5.0 by varying the OLR at a constant hydraulic retention time. RESULTS A stable H 2 yield of 1.64 ± 0.04 mol mol −1 glucose was obtained at OLRs from 8.6 to 12.8 g COD L −1 d −1 . Increasing the OLR increased the hydrogenase flux and suppressed methanogenesis. At high OLRs , high acetate and solvent production were associated with Clostridiaceae and Ruminococcaceae while at low OLRs , the presence of Synergistaceae and Propionibacteriaceae were related to the production of propionate and other reduced byproducts. CONCLUSION This study successfully demonstrated continuous H 2 production using bench‐scale UASBRs fed glucose. Understanding the OLR effect on H 2 production and microbial interaction is important in the full‐scale operation of H 2 production facilities using low value feedstocks such as switch grass, corn stover and shorghum. © 2016 Society of Chemical Industry

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.189
Teacher spread0.185 · 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.

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

Citations10
Published2016
Admission routes2
Has abstractyes

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