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Record W3141391356

Lignin Precipitation in Auto-catalyzed Ethanol Pulping Studied by XPS and AFM

2009· article· en· W3141391356 on OpenAlex
Kecheng Li

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

VenueTransactions of China Pulp and Paper · 2009
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsLigninPulp (tooth)CelluloseChemistryStrawX-ray photoelectron spectroscopyFiberEthanol precipitationChemical engineeringChemical compositionEthanolKappa numberMaterials scienceOrganic chemistryComposite materialKraft processInorganic chemistryKraft paper
DOInot available

Abstract

fetched live from OpenAlex

The morphological characteristics,chemical composition and lignin distribution on the fiber surfaces of auto-catalyzed ethanol pulp were studied.The results obtained from the observation of AFM showed that lignin particles completely cover on the un-washed fiber surfaces,the amount and size of the lignin particles covered on the fiber surfaces become less and small in washing process.The fibrillar structure can be observed clearly but there still are lignin particles on the fiber surfaces after four-stage washing.It was found that lignin particles on the fiber surface look like globule due to the interaction between lignin molecules.XPS analyses results indicated that O/C ratio of ethanol wheat straw pulp fiber surface is higher than the theoretical O/C ratio of cellulose and close to the theoretical O/C ratio of lignin,and it proves there is lignin on the fiber surface.Kappa number measurement suggested high kappa number of ethanol pulp is mainly due to the precipitation of the dissolved lignin from the pulping liquor.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.437

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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