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Enregistrement W2406734034 · doi:10.14288/1.0302477

The biopharmaceutical properties of solid dosage forms -- The stability of p-aminosalicylic acid and sodium p-aminosalicylate in tablets

2011· article· en· W2406734034 sur OpenAlexaboutno aff
Fung Yin Chan

Notice bibliographique

RevuecIRcle (University of British Columbia) · 2011
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiqueDrug Solubulity and Delivery Systems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDosage formChemistryAminosalicylic acidChromatographyBiopharmaceuticalSodiumPara-aminosalicylic acidPharmacologyMedicineOrganic chemistryBiochemistryStreptomycinAntibioticsBiologyBiotechnology

Résumé

récupéré en direct d'OpenAlex

A product must comply with pharmacopeial specifications at all times. If the drug in the tablet degrades to a therapeutically inactive (and sometimes toxic) substance, the patient will not receive the correct amount of drug and, more important, may be adversely affected by the degradation product. The stability characteristics of four products containing either p-aminosalicylic acid or sodium aminosalicylate were, therefore, determined in this laboratory. The products were selected at random and are currently being sold to pharmacies and hospitals in Canada. The products were analyzed and their disintegration times determined. All products complied with existing specifications. The products were then stored in a Vapor-Temp Controlled Humidity Chamber at various temperatures (30°C. to 60°C.) and at 65 % and 90 % relative humidity for varying periods of time. Tablets were withdrawn from the chamber at various times and analyzed. Using the data so obtained, rate constants were calculated for each product stored at the two basic conditions, that is, at 65 % and 90 % relative humidity. Products 1 and 4 were not affected by the environmental conditions in the humidity chamber. However, the drug in Products 5 and 7 degraded quickly to m-aminophenol when the tablets were exposed to temperatures in excess of 40°C and a relative humidity of 90 %. Product 7, in particular, was very susceptible to both heat and moisture. The product would, therefore, be unacceptable to the profession. It contains buffers and it is assumed that these substances are responsible for the product's instability. This then is a good example of poor product development. The data accumulated during this investigation was analyzed mathematically and it was concluded that the pseudo first-order reaction equation may be used to explain the degradation process. Arrhenius plots (that is, plots of the logarithm of the rate constant versus the reciprocal of the absolute temperature) were prepared for Products 5 and 7. On the basis of these plots, product stability at various temperatures and a relative humidity of 90 % was determined. As an example, Product 7 will contain only 90% of the drug claimed on the label if it is stored at a temperature of 25°C and a relative humidity of 90% for 70 days. Values at other temperatures and for Product 5 are given in this thesis. The data obtained during this investigation suggests that the following stability specification may be used to quickly evaluate a product containing p-Aminosalicylic acid or its sodium salt. Place 20 tablets in a petrie dish and transfer to a humidity chamber adjusted to 40°C and a relative humidity of 90%. Store in the chamber for ten days. Remove and assay the tablets. The mean potency of the 20 tablets must be not less than 90 % of the amount claimed on the label. The drug in products which do not meet this specification would degrade to m-aminophenol even if it is stored at normal temperatures for relatively short periods of time. Product 7 falls into this category. This study shows that humidity must be taken into consideration in any investigation on product stability. Moreover, it is not enough to determine the stability of the drug as such. The excipients (and other drugs combined with the anti-tubercular in the same dosage form) can influence the degradation process in the tablet. This abstract represents the true contents of the thesis submitted.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,595
Score d'incertitude au seuil0,976

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,089
Tête enseignante GPT0,287
Écart entre enseignants0,198 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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