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FORMULATION AND EVALUATION OF ORODISPERSIBLE TABLETS OF LAMOTRIGINEUSING DISCRETE SUPER DISINTEGRANTS AND COPROCESSED EXCIPIENTS

2020· article· en· W3033063539 on OpenAlexaff
Rajasekhar Reddy Poonuru, Rohini Cheruku, Pavan Juluri, KHADEERA JABEEN, SWETHA SREERAMULA, SNEHA BANDARI, AKHILA MADUPU

Bibliographic record

VenueInternational Journal of Pharmacy and Pharmaceutical Sciences · 2020
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsSt. Peter's Hospital
Fundersnot available
KeywordsLamotrigineMaterials scienceSolubilityChromatographyExtrusionChemistryComposite materialOrganic chemistryMedicine

Abstract

fetched live from OpenAlex

Objective: The present study was designed to formulate and evaluate the orodispersible tablets of lamotrigine after enhancing its solubility.
 Methods: Lamotrigine was made into an inclusion complex with eudragit E 100 my kneading and mass extrusion method and later this mixture is compressed into orodispersible tablet using various super disintegrants and co-processed excipients to reduce the disintegration time for providing prompt action through rapid drug release.
 Results: Lamotrigine ODTs containing F-melt (F1-3%, F2-5%) dispersed in lesser time of (9±0.11) and (21±0.58) compared to formulations with polyplasdone XL-10 and primellose as super disintegrants respectively with F1 showing short wetting time. The water absorption was also was found to be more for formulation with 3% F-Melt.
 Conclusion: Lamotrigine orodispersible tablets were prepared by direct compression technique by using 3% and 5% of three super disintegrants (f-melt, primellose and polyplasdone XL-10). Disintegration time of F1 (3% f-melt) formulation was found to be least (7 sec).

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)0.002
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.703
Threshold uncertainty score0.455

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.293
GPT teacher head0.518
Teacher spread0.224 · 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 designSimulation or modeling
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

Citations1
Published2020
Admission routes1
Has abstractyes

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