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Record W1967356650 · doi:10.2166/wst.2008.060

Evaluating limiting steps of anaerobic degradation of food waste based on methane production tests

2008· article· en· W1967356650 on OpenAlex
Luis Ortega, Céline Husser, Suzelle Barrington

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWater Science & Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsBiotechnology Research InstituteMcGill University
Fundersnot available
KeywordsMesophileOleic acidFood scienceChemistryAnaerobic digestionMethanogenesisLauric acidAcetic acidBiochemistryMethanePulp and paper industryBiologyFatty acidBacteriaOrganic chemistry

Abstract

fetched live from OpenAlex

This research adapted a batch test for biochemical methane production (BMP) to follow the degradation of complex compounds such as proteins and vegetable oils. The test measured the transformation of albumin and olive oil into methane under mesophilic and thermophilic conditions and assess limiting step in the overall degradation process. The thermophilic sludge used for the BMP tests was adapted during ten month from mesophilic sludge while being fed food waste. As compared to acetic acid, the specific rate of transformation of albumin and olive oil into methane reached 22 and 51%, respectively, under mesophilic conditions. Acetoclastic methanogenesis was not the limiting step in the presence of albumin or olive oil (and its monomer-like molecules such as amino acids, glycerol and oleic acid). Rather, the degradation of albumin was restricted by the presence of proteins. The thermophilically adapted sludge showed good proteolytic activity, but its acetoclastic methanogens were unable to degrade olive oil, because of the inhibitory effect of oleic acid.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.057
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.039
GPT teacher head0.264
Teacher spread0.225 · 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