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Record W4391902668 · doi:10.53555/sfs.v10i1.2114

Pegylated Conjugates Of Microcrystalline Cellulose For Use As Tablet Super-Disintegrants: Development And Evaluation

2023· article· en· W4391902668 on OpenAlexvenueno aff
Bala Hemalatha

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2023
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and pharmacological studies
Canadian institutionsnot available
Fundersnot available
KeywordsMicrocrystalline celluloseMaterials scienceCelluloseConjugateMicrocrystallineChemistryMathematicsOrganic chemistryCrystallography

Abstract

fetched live from OpenAlex

In the current study, superdisintegrants for fast-dissolving tablets (FDTs) have been examined using microcrystalline cellulose - polyethylene glycol conjugates. MCC was combined with polyethylene glycol (PEG) 200 and heated in the presence of a catalyst to create the PEGylated conjugate of microcrystalline cellulose (MCC). MCC-PEG conjugates were created, and the powdered conjugates were characterised using micromeritic investigations, FTIR, SEM, and powder XRD techniques. By using FT-IR, the conjugation of MCC and PEG was verified. Conjugate’s physical and chemical characteristics were contrasted with MCC. The conjugate was evaluated for water vapour uptake isotherms, maximum water saturation, water penetration rate, disintegration duration, superdisintegration power, and dissolution studies. Through direct compression, the conjugates were employed to create Lurasidone hydrochloride FDTs, and the in vitro drug release was assessed. After comparing its results with that of commercial superdisintegrants, it can be concluded that MCC–PEG conjugate can prove to be an excellent superdisintegrant

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)0.003
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 head0.315
GPT teacher head0.339
Teacher spread0.024 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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