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Application of green analytical principles in the HPLC analysis of prednisolone derivatives: Method optimization and validation for nasal powder formulations Cover

Application of green analytical principles in the HPLC analysis of prednisolone derivatives: Method optimization and validation for nasal powder formulations

Open Access
|Jan 2026

Abstract

Glucocorticoids are a group of drugs increasingly used in modern medical practice due to their pronounced anti--inflammatory and immunosuppressive properties. In this study, prednisolone disodium phosphate and prednisolone acetate were analysed, with the aim of developing and validating an HPLC method in accordance with ICH Q2(R2) guidelines and quantifying their content in the active pharmaceutical ingredient powder and a model in--house sample. By applying the HPLC-DAD method with gradient elution, effective separation of the analytes was achieved. The method met all validation parameter requirements. The obtained results showed that the content of both analytes in the tested samples (bulk API powders and in-house prepared model formulation) was within the prescribed limits according to current pharmacopoeial standards. The proposed HPLC-DAD method was assessed for its applicability and environmental profile utilizing a range of green and blue metric tools. This comprehensive evaluation confirms that the method adheres to green analytical principles, making it suitable for sustainable pharmaceutical analysis.

DOI: https://doi.org/10.2478/acph-2025-0032 | Journal eISSN: 1846-9558 | Journal ISSN: 1330-0075
Language: English
Page range: 577 - 595
Accepted on: Dec 11, 2025
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Published on: Jan 13, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2026 Daniela Amidžić Klarić, Jelena Kovačić, Ilija Klarić, Petra Bajt, Lana Pribolšan, Erika Križanić, Laura Nižić Nodilo, Ana Mornar, published by Croatian Pharmaceutical Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.