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Record W2342346120 · doi:10.1021/acs.iecr.6b00201

Microwave Assisted Synthesis of 5-Hydroxymethylfurfural from Starch in AlCl<sub>3</sub>·6H<sub>2</sub>O/DMSO/[BMIM]Cl System

2016· article· en· W2342346120 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2016
Typearticle
Languageen
FieldEngineering
TopicCatalysis for Biomass Conversion
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsLevulinic acidChemistryIonic liquidYield (engineering)StarchHydroxymethylfurfuralChlorideAmylopectinWaxy cornOrganic chemistryNuclear chemistryAmyloseCatalysisFurfuralMaterials science

Abstract

fetched live from OpenAlex

A successful protocol has been developed for the microwave assisted conversion of corn starch into 5-hydroxymethylfurfural (HMF) utilizing aluminum chloride hexahydrate (AlCl 3 ·6H 2 O) and 1-butyl-3-methylimidazolium chloride ([BMIM]Cl) ionic liquid. HMF yield as high as 59.8 wt % was achieved at 150 °C within a short reaction time of 20 min. The dimethyl sulfoxide (DMSO)/[BMIM]Cl system was found to be tolerant to optimal water content which influenced the product distribution. Levulinic acid was detected in negligible quantities, and humin content could be controlled by varying different process parameters. Satisfactory results were achieved when waxy corn starch (HMF yield 64.9 wt %) and high amylose corn starch (HMF yield 51.1 wt %) were compared as potential feedstock alternatives to fructose and glucose. The work provided significant insight into the synthesis of HMF in a microwave environment from sustainably sourced biomass such as starch having high amylopectin content.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.247
Teacher spread0.212 · 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