Raman mapping-based non-destructive dissolution prediction of sustained-release tablets-Reference-Cited by-同舟云学术

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Raman mapping-based non-destructive dissolution prediction of sustained-release tablets

Published:2022-04 Issue: Volume:212 Page:114661
ISSN:0731-7085
Container-title:Journal of Pharmaceutical and Biomedical Analysis
language:en
Short-container-title:Journal of Pharmaceutical and Biomedical Analysis

Author:

Galata Dorián László,Zsiros Boldizsár,Mészáros Lilla Alexandra,Nagy Brigitta,Szabó Edina,Farkas Attila,Nagy Zsombor Kristóf

Funder

Gedeon Richter Nyrt

Hungarian Academy of Sciences

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal

Publisher

Elsevier BV

Subject

Clinical Biochemistry,Spectroscopy,Drug Discovery,Pharmaceutical Science,Analytical Chemistry

Reference25 articles.

1. USP, <711>, Dissolution. United States Pharmacopeial Convention, Rockville, MD, 2018.

2. First-principles and empirical approaches to predicting in vitro dissolution for pharmaceutical formulation and process development and for product release testing;Zaborenko;AAPS J.,2019

3. Enabling real time release testing by NIR prediction of dissolution of tablets made by continuous direct compression (CDC);Pawar;Int. J. Pharm.,2016

4. Prediction of dissolution profiles by non-destructive NIR spectroscopy in bilayer tablets;Baranwal;Int. J. Pharm.,2019

5. Assessment of mefenamic acid polymorphs in commercial tablets using chemometric coupled to MIR and NIR spectroscopies. Prediction of dissolution performance;Antonio;J. Pharm. Biomed. Anal.,2018

Cited by 27 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. Research Progress of Raman Spectroscopy and Imaging Techniques for the Pharmaceutical Analysis;Journal of Analysis and Testing;2024-08-17

2. Real-time release testing of in vitro dissolution and blend uniformity in a continuous powder blending process by NIR spectroscopy and machine vision;European Journal of Pharmaceutics and Biopharmaceutics;2024-08

3. Prediction of in-vitro dissolution and tablet hardness from optical porosity measurements;International Journal of Pharmaceutics;2024-07

4. Utilizing Transfer Learning in In Vitro Dissolution Prediction Based on Raman Maps;2024 IEEE 18th International Symposium on Applied Computational Intelligence and Informatics (SACI);2024-05-23

5. Flexible modelling of the dissolution performance of directly compressed tablets;International Journal of Pharmaceutics;2024-05

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