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Record W4390977708 · doi:10.25258/ijddt.13.4.59

Isolation of Gum from Tamarind and Fenugreek Plants and Its Evaluation as Pharmaceutical Excipients

2023· article· en· W4390977708 on OpenAlexaff
SR Chaudhari, UR Dhuppad

Bibliographic record

VenueInternational Journal of Drug Delivery Technology · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides Composition and Applications
Canadian institutionsTrinity College
Fundersnot available
KeywordsActive ingredientBiochemical engineeringMucilageChemistryNatural polymersCosmeticsBiotechnologyTraditional medicinePharmacologyPolymerOrganic chemistryMedicineEngineeringBiologyBotany

Abstract

fetched live from OpenAlex

In contemporary pharmaceutical dosage forms, a variety of auxiliary substances are combined with active compounds to aid in production and achieve the intended effects of the active components. Plant gum is a widely recognized polysaccharide within the pharmaceutical industry, performing an array of functions including stabilizing, disintegrating, suspending, emulsifying, and gelling. Naturally occurring gum is preferred over commercially produced gum due to its affordability, emollient properties, non-irritating nature, natural composition, and lack of toxicity. The costly nature, hazardous properties, contribution to environmental contamination during production, reliance on non-renewable resources, potential adverse effects, and low patient adherence are all drawbacks of synthetic polymers. Gum exhibits considerable potential as an innovative drug delivery system (NDDS) in conjunction with a variety of pharmacological formulations. The advancements achieved in the application of natural polysaccharides, mucilages, and pectins within the domain of medicinal sciences are examined in this research article.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.138

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 head0.031
GPT teacher head0.305
Teacher spread0.275 · 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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