Application of machine learning assisted multi-variate UV spectrophotometric models augmented by kennard stone clustering algorithm for quantifying recently approved nasal spray combination of mometasone and olopatadine along with two genotoxic impurities: comprehensive sustainability assessment

Application of machine learning assisted multi-variate UV spectrophotometric models augmented by kennard stone clustering algorithm for quantifying recently approved nasal spray combination of mometasone and olopatadine along with two genotoxic impurities: comprehensive sustainability assessment

Abstract The recent approval of the nasal spray combination of mometasone (MOM) and olopatadine (OLO) presents a significant analytical challenge, as only a single reported method exists for its determination, deviating from eco-friendly practices. This study addresses this critical gap by pioneerin...

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Bibliographic Details
Main Authors: Ahmed Emad F. Abbas, Mohammed Gamal, Ibrahim A. Naguib, Michael K. Halim, Basmat Amal M. Said, Mohammed M. Ghoneim, Mohmeed M. A. Mansour, Yomna A. Salem
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Chemistry
Subjects:
Mometasone and olopatadine
Machine learning models
Kennard stone clustering algorithm
Greenness whiteness and blueness evaluation
Solvents selection tool and spider charts
Online Access:https://doi.org/10.1186/s13065-025-01391-8
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https://doi.org/10.1186/s13065-025-01391-8

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