A Model of Linear Response with Progressive Decay Equally Suited for RiboGreen® Quantitation of RNA and Dissolution of Solid Oral Dosage Forms.

Absorption Analytical chemistry Dissolution Dissolution models Fluorescence Mathematical models RNA

Journal

Journal of pharmaceutical sciences
ISSN: 1520-6017
Titre abrégé: J Pharm Sci
Pays: United States
ID NLM: 2985195R

Informations de publication

Date de publication:
04 Jul 2024
Historique:
received: 09 02 2024
revised: 23 06 2024
accepted: 24 06 2024
medline: 7 7 2024
pubmed: 7 7 2024
entrez: 6 7 2024
Statut: aheadofprint

Résumé

A new regression model is presented which offers flexibility, freedom from subjective determinations of linear range, and very wide applicability to measurement systems of industrial importance. This "progressive decay" model starts as a deceptively simple ordinary differential equation. We show here that its solution faithfully describes real but seemingly unconnected data from a plate-based assay for quantitation of RNA with RiboGreen® and dissolution data for a triple fixed-dose combination solid oral dosage form.

Identifiants

pubmed: 38971409
pii: S0022-3549(24)00240-5
doi: 10.1016/j.xphs.2024.06.019
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Lee J Klein (LJ)

Merck & Co., Inc., 770 Sumneytown Pike, West Point, PA 19486 USA. Electronic address: lee_klein@merck.com.

Susannah Gaye (S)

Merck & Co., Inc., 770 Sumneytown Pike, West Point, PA 19486 USA.

Morgan Crawford (M)

Merck & Co., Inc., 126 E. Lincoln Ave., Rahway, NJ 07065 USA.

Classifications MeSH