Using a Novel Multicompartment Dissolution System to Predict the Effect of Gastric pH on the Oral Absorption of Weak Bases with Poor Intrinsic Solubility-Reference-Cited by-同舟云学术

Using a Novel Multicompartment Dissolution System to Predict the Effect of Gastric pH on the Oral Absorption of Weak Bases with Poor Intrinsic Solubility

Published:2005-01 Issue:1 Volume:94 Page:199-208
ISSN:0022-3549
Container-title:Journal of Pharmaceutical Sciences
language:en
Short-container-title:Journal of Pharmaceutical Sciences

Author:

Gu Chong‐Hui,Rao Deepa,Gandhi Rajesh B.,Hilden J.o.n.,Raghavan Krishnaswamy

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference13 articles.

1. Dissolution as a prognostic tool for oral drug absorption: Immediate release dosage forms;Dressman;Pharm Res,1998

2. Evaluation of various dissolution media for predicting in vivo performance of class I and II drugs;Galia;Pharm Res,1998

3. In vitro‐in vivo correlation for lipophilic, poorly water‐soluble drugs;Dressman;Eur J Pharm Sci,2000

4. Comparison of the gastrointestinal anatomy, physiology, and biochemistry of humans and commonly used laboratory animals;Kararli;Biopharm Drug Dispos,1995

5. Salt selection for basic drugs;Gould;Int J Pharm,1986

Cited by 123 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intratympanic injections of emulsion-like dispersions to augment cinnarizine amount in a healthy rabbit inner ear model;Nanomedicine;2024-07-23

2. Bioequivalence prediction with small-scale biphasic dissolution and simultaneous dissolution-permeation apparatus—An aripiprazole case study;European Journal of Pharmaceutical Sciences;2024-07

3. Development of Sustained Release Oral Floating Tablet Formulation of Cinnarizine using 32 factorial design;Asian Journal of Pharmaceutical Research;2024-03-08

4. Solubility of cinnarizine in natural deep eutectic solvent (camphor + menthol) and correlation with different solubility models;Fluid Phase Equilibria;2024-03

5. In silico, in situ, in vitro, and in vivo predictive methods for modeling formulation performance;From Current to Future Trends in Pharmaceutical Technology;2024