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Record W2165834350 · doi:10.6000/1927-5129.2013.09.30

Formulation Development and Evaluation of Sodium Bicarbonate Tablets by Direct Compression Method

2013· article· en· W2165834350 on OpenAlexvenueno aff
Sadia Mehrban, Fouzia Hassan, Syed Muhammad Farid Hasan, Fozia Israr, Sabahat Jabeen

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2013
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSodium bicarbonateAntacidMicrocrystalline celluloseMagnesium stearateChemistryMaterials scienceChromatographyDosage formCelluloseOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Acidity is a worldwide problem caused by an imbalance between the acid secreting mechanisms of stomach and proximal intestine. It creates great trouble in the life of many people. An antacid neutralizes excess acidity and provide relief. Sodium bicarbonate is prescribed as an antacid to treat heartburn and acid indigestion condition. The main objective of the current work was to prepare sodium bicarbonate antacid tablets by direct compression method and to evaluate trial formulation with those available in the local market by pharmacopeial and nonpharmacopeial methods. Besides sodium bicarbonate, the excipients used were lactose, microcrystalline cellulose (Avicel) and magnesium stearate. The tablet weight set for compression was 318mg (±5%). After sieving through a 20 mesh screen, the powder was blended for five minutes and evaluated for its flow properties before compression on a single punch machine. The results revealed that the blend possessed good flow property, compressed easily and the resulting tablets complied all the standards and showed a close resemblance with sodium bicarbonate tablets which are available in the local market.

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)0.007
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 score0.283
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
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 head0.147
GPT teacher head0.436
Teacher spread0.288 · 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
Published2013
Admission routes1
Has abstractyes

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