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Record W2766706497 · doi:10.1002/cjce.23057

Cellulose transformation into methyl glucosides catalyzed by H<sub>3</sub>PW<sub>12</sub>O<sub>40</sub>: Enhancement of ionic liquid pretreatment

2017· article· en· W2766706497 on OpenAlexvenueno aff
Weizhong Zheng, Yanjin Cui, Zhimei Xu, Ling Zhao, Weizhen Sun

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicCatalysis for Biomass Conversion
Canadian institutionsnot available
Fundersnot available
KeywordsIonic liquidCelluloseYield (engineering)CatalysisMethanolChemistryMonosaccharideChlorideOrganic chemistryNuclear chemistryMaterials science

Abstract

fetched live from OpenAlex

Abstract The efficient alcoholysis of cellulose to monosaccharide is of great importance to produce fuels and fine chemicals from renewable feedstocks. In this work, the conversion of cellulose into methyl glucosides was investigated by combining the pretreatment process of the ionic liquid 1‐allyl‐3‐methylimidazolium chloride ([Amim]Cl) and the subsequent alcoholysis catalyzed by the heteropolyacid H 3 PW 12 O 40 . The X‐ray diffraction characterization of [Amim]Cl‐pretreated cellulose shows that the pretreatment process could transform cellulose I to cellulose II resulting in the loss of crystalline structure. The subsequent alcoholysis of the pretreated cellulose catalyzed by H 3 PW 12 O 40 proves to be a highly efficient way to convert cellulose to methyl glucosides in the medium of methanol. Under the optimized conditions of the [Amim]Cl pretreatment and alcoholysis reaction, the highest yield of methyl glucosides reaches up to 70.2 mass%, which is much higher than those previously published without pretreatment process.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.181
Teacher spread0.175 · 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

Citations13
Published2017
Admission routes1
Has abstractyes

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