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Record W4313554604 · doi:10.1021/acsapm.2c01917

Insights into the Interaction between Amylose-Rich Corn Starch and Maleic Anhydride in Imidazolium Chloride-Based Ionic Liquids

2023· article· en· W4313554604 on OpenAlexafffund
Shrestha Roy Goswami, Sen Wang, Ning Yan

Bibliographic record

VenueACS Applied Polymer Materials · 2023
Typearticle
Languageen
FieldChemical Engineering
TopicIonic liquids properties and applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaMitacsOntario Centres of Excellence
KeywordsC4mimStarchIonic liquidChemistryChlorideMaleic anhydrideAmyloseIonic bondingInorganic chemistryPolymer chemistryOrganic chemistryMedicinal chemistryIonCatalysisPolymerCopolymer

Abstract

fetched live from OpenAlex

Starch maleates with a high degree of maleic anhydride (MA) substitutions (DS) are in-demand for producing advanced composites. High-DS maleates are synthesized in imidazolium chloride-based ionic liquids because they could sustain starch-MA esterification, the precise mechanism of which, however, is largely unknown. In this study, we mapped chemical shifts of imidazolium cations before and after MA was added to each of the three starch-[C 2 mim]Cl, starch-[Amim]Cl, and starch-[C 4 mim]Cl systems. [C 4 mim] + and [Amim] + cations were observed to form substantial H-bonds with hydroxyls of starch. These hydroxyls could further associate with MA, liberating the bound cations. The liberated [Amim] + cations, unlike [C 4 mim] + cations, could readily donate their C2–H protons to activated MA, providing high-DS maleates (DS NMR ≈ 0.1, DS titration ≈ 1.20). The insights gained from this study would benefit the development of maleates from a wide range of biopolymers and expedite the screening of ionic liquids with varying cation–anion combinations for high-DS maleate synthesis.

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 score0.004
Threshold uncertainty score0.771

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 head0.018
GPT teacher head0.252
Teacher spread0.233 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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