Evidence map›Paper›PMID 41799079›Full record

ArticleACS omega2026

Evaluation of USP 3 Apparatus to Develop Biopredictive Fasted and Fed Dissolution Methods for Extended-Release Desvenlafaxine Succinate Tablets.

Gustavo V Carapeto, Beatriz C Nunes, Marcelo D Duque, Michele G Issa, Humberto G Ferraz

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In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gustavo V CarapetoDepartment of Pharmacy, School of Pharmaceutical Sciences, Universidade de São Paulo-USP, Av. Prof. Lineu Prestes 580, São Paulo 05508-080, SP, Brazil.ORCID https://orcid.org/0009-0002-4013-3062
Beatriz C NunesDepartment of Pharmacy, School of Pharmaceutical Sciences, Universidade de São Paulo-USP, Av. Prof. Lineu Prestes 580, São Paulo 05508-080, SP, Brazil.ORCID https://orcid.org/0009-0003-8796-7125
Marcelo D DuqueDepartment of Pharmaceutical Sciences, Institute of Environmental, Chemical and Pharmaceutical Sciences, Universidade Federal de São Paulo-UNIFESP, Rua São Nicolau, 210 Centro, Diadema 09913-030, SP, Brazil.
Michele G IssaDepartment of Pharmacy, School of Pharmaceutical Sciences, Universidade de São Paulo-USP, Av. Prof. Lineu Prestes 580, São Paulo 05508-080, SP, Brazil.
Humberto G FerrazDepartment of Pharmacy, School of Pharmaceutical Sciences, Universidade de São Paulo-USP, Av. Prof. Lineu Prestes 580, São Paulo 05508-080, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of distinct biopredictive methods for fasted and fed states using a physiologically based biopharmaceutics modeling (PBBM) approach is essential for accurately evaluating drug release from solid oral dosage forms, especially extended-release products. However, a fed state biopredictive method for desvenlafaxine tablets is not currently available. Hence, the study aimed to investigate the application of the USP 3 apparatus to develop biopredictive methods for desvenlafaxine tablets. Initially, an existing fasted state biopredictive USP 2 dissolution method was adapted to increase dissolution hydrodynamics by scaling the rotation speed to 75 and 100 rotations per minute (rpm). Subsequently, two dissolution methods were developed using the USP 3 apparatus to emulate fasted and fed conditions. The fed biopredictability of the methods was assessed using a previously developed GastroPlus model to simulate fed conditions under 800 kcal and 50% fat meal. Statistical analysis of dissolution profiles obtained in the paddle apparatus revealed no significant difference from the original 50 rpm method and lacked biopredictive for the fed state, indicating the unfeasibility of developing such a method in this apparatus. In contrast, USP 3 proved to be an important tool to develop a fed state method, since it was biopredictable based on simulation analysis. Additionally, no significant differences were observed between USP 3 methods employing pH-gradient media and those using 0.9% NaCl as the sole medium. These findings highlight a hydrodynamic-driven approach for applying USP 3 to develop distinct biopredictive dissolution methods for fasted and fed states, particularly for high-solubility drugs formulated in robust hypromellose matrices.

Identifiers

PMID41799079
PMCPMC12961521

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.