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Record W2316686654 · doi:10.14227/dt200413p6

Investigation of the Disintegration Behavior of Dietary Supplements in Different Beverages

2013· article· en· W2316686654 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDissolution Technologies · 2013
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsUniversity of Alberta
FundersUnited States Pharmacopeia
KeywordsFood scienceChemistryTraditional medicineMedicine

Abstract

fetched live from OpenAlex

The aims of this study were to assess how different beverages and temperatures impact the disintegration time of commercial dietary supplements. Four commercial tablet products, calcium citrate, Ester-C, Boswellia serrata extract, and cinnamon extract, which are considered vitamin-mineral dosage forms or botanical dosage forms, were tested. As described in USP General Chapter <2040> Disintegration and Dissolution of Dietary Supplements, Apparatus A and Apparatus B with or without disks were used with a two-station disintegration tester. Beakers (1000 mL) that met the USP <2040> standards were used, and two temperature conditions were tested: 37 C and 5 C. Six different types of beverages, including cola, orange juice, and 5%, 10%, 20%, and 40% alcohol, were compared against water. Boswellia serrata extract failed to disintegrate. With the exception of 5% alcohol, all beverages had a significant effect on the disintegration time of calcium citrate and Ester-C. Only cola, orange juice, and 40% alcohol significantly influenced the disintegration time of the cinnamon extract. The temperature of the immersion media did not affect all of the tested products. The tested beverages should not be used to replace water when ingesting therapeutic products.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.219

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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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