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Record W2501092169 · doi:10.1021/bk-2006-0934.ch006

Cross-Linked Starch Derivatives for Highly Loaded Pharmaceutical Formulations

2006· book-chapter· en· W2501092169 on OpenAlexaff
Mircea Alexandru Mateescu, Pompilia Ispas‐Szabo, Jérôme Mulhbacher

Bibliographic record

VenueACS symposium series · 2006
Typebook-chapter
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSwellingStarchAmyloseChemistryPolymerDissolutionKineticsIonic bondingDrugDrug deliveryPharmaceuticsPolymer chemistryChemical engineeringCombinatorial chemistryOrganic chemistryPharmacologyIon

Abstract

fetched live from OpenAlex

Starch derivatives were obtained from Crosslinked High Amylose Starch (HASCL) by substitution with Carboxymethyl (CM-), Aminoethyl (AE-) or Acetate (Ac-) groups. The new polymers are able to generate ionic or neutral networks involved in the control of drug release. Surprisingly, it was found that the drug loading capacity of the new derivatives was markedlly higher compared to the unsubstituted HASCL. The HASCL derivatives ensured a close to linear release for 16-24h and they were proposed as excipients for oral solid dosage forms. Dissolution kinetics and mechanistic studies (related to swelling and diffusion aspects) allowed a better understanding of the physical and molecular phenomena controling the drug delivery from these novel matrices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.046
GPT teacher head0.314
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2006
Admission routes1
Has abstractyes

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