MétaCan
Menu
Back to cohort
Record W2012248204 · doi:10.2166/wqrjc.2013.040

Characterization and anaerobic treatability study of pre-hydrolysis liquor (PHL) from dissolving pulp mill

2013· article· en· W2012248204 on OpenAlexaff
Dibyendu Debnath, Mayur Milan Kale, Kripa S. Singh

Bibliographic record

VenueWater Quality Research Journal · 2013
Typearticle
Languageen
FieldEngineering
TopicAnaerobic Digestion and Biogas Production
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsChemistryChemical oxygen demandLigninDissolving pulpFurfuralPulp and paper industryAnaerobic digestionHydrolysisBiodegradationAcetic acidAnaerobic exercisePulp (tooth)CelluloseWaste managementNuclear chemistryOrganic chemistryWastewaterMethaneBiology

Abstract

fetched live from OpenAlex

Anaerobic degradation showed potential as the disposal solution for pre-hydrolysis liquor (PHL) from the dissolving pulp industries. This PHL contained pentose and hexose carbohydrates as monomeric (14.5 g/L) and oligomeric (39.7 g/L) forms along with acetic acid (10.38 g/L), furfural (1.14 g/L) and lignin (11.08 g/L). The average chemical oxygen demand (COD) value of the PHL was around 100 g/L with a biochemical oxygen demand (BOD5) value of 55 g/L. Respirometric studies at 35 °C showed a decrease in methane production with increasing concentration of PHL in the feed. Presence of slowly biodegradable substrates (furfural and lignin) in the feed was suspected to cause such behavior. Therefore, PHL was introduced to a master culture reactor to acclimatize the seed sludge to PHL as substrate. The seed microbes were able to adapt to furfural, but not to the entire lignin present in PHL feed. Lignin concentration going over a threshold value (approximately 7 g/L) was suspected to cause reactor failure. This anaerobic treatability study reflects on the potential of applying anaerobic digestion for PHL waste stream disposal and biogas production.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.320
Teacher spread0.271 · 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 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

Citations8
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueWater Quality Research JournalSame topicAnaerobic Digestion and Biogas ProductionFrench-language works237,207