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Record W2605230095 · doi:10.1021/acssuschemeng.7b00784

Dissolution of Starch with Aqueous Ionic Liquid under Ambient Conditions

2017· article· en· W2605230095 on OpenAlexafffund
Binjia Zhang, Fengwei Xie, Julia L. Shamshina, Robin D. Rogers, Tony McNally, Peter J. Halley, R. W. Truss, Ling Chen, Siming Zhao

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNanocomposite Films for Food Packaging
Canadian institutionsMcGill University
FundersAustralian Research CouncilCanada Excellence Research Chairs, Government of CanadaNatural Science Foundation of Hubei ProvinceMinistry of Education of the People's Republic of China
KeywordsDissolutionIonic liquidCrystallinityChemistryStarchAqueous solutionPolymerChemical engineeringEnvironmentally friendlyOrganic chemistryIonic bondingIonCatalysis

Abstract

fetched live from OpenAlex

With increased awareness of global sustainability, there has been growing interest in the preparation of materials from natural, eco-friendly polymers (i.e., biopolymers). Nonetheless, despite their enormous application potential, biopolymers (starch, etc.) have a native semicrystalline structure with strong hydrogen bonding, and require use of solvents to improve their processability. However, the dissolution/processing of natural biopolymers such as starch often requires heating and thus significant energy input. Herein, we report an aqueous ionic liquid for fast and facile dissolution of starch, a typical semicrystalline natural polymer, under ambient conditions. The ionic liquid used is 1-ethyl-3-methylimidazolium acetate ([C2mim][OAc]). In particular, it is revealed that 0.15:1 mol/mol [C2mim][OAc]:water mixture disintegrates the sophisticated granule structure of native starch without apparently decreasing the molecular mass within 1 h at room temperature (i.e., 28 °C). In addition, this process did not result in any undesired derivatization. The discovery of this phenomenon could provide guidance for rationally designing “green” processes for chemical and biological engineering for the utilization of promising natural biopolymers.

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)0.000
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 score0.018
Threshold uncertainty score0.805

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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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

Citations52
Published2017
Admission routes2
Has abstractyes

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