D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustainability framework with NQS assessment and UN-SDG integration

D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustainability framework with NQS assessment and UN-SDG integration

Abstract The novel anti-glaucoma ophthalmic preparation containing latanoprost, netarsudil, and benzalkonium chloride has posed a significant challenge due to its complexity and the lack of environmentally sustainable quantification methods, with only a single published method available for its quan...

Full description

Saved in:
Bibliographic Details
Main Authors: Omkulthom Al kamaly, Lateefa A. Al-Khateeb, Michael K. Halim, Noha S. katamesh, Galal Magdy, Ahmed Emad F. Abbas
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Chemistry
Subjects:
Chemometrics
Green UV-spectrophotometry
Multi-analyte quantification
Experimental design
Sustainability
Online Access:https://doi.org/10.1186/s13065-025-01572-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13065-025-01572-5

Similar Items