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May 11, 2026Green Analytical ChemistryOpen Access

Integration of Sustainable Spectrophotometric Methods and AI-Driven Data Analysis for Simultaneous Determination of Carvedilol, Hydrochlorothiazide and a Toxic Impurity

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Authors

MNMona NabilNNNancy W. NashatHMHoda M. Marzouk

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Overview

Randomized trial demonstrates efficient determination of drug concentrations in pharmaceutical mixtures, implying improved quality control.

Key Points

  • This study aims to develop sustainable spectrophotometric methods integrated with AI for the simultaneous quantitative analysis of carvedilol, hydrochlorothiazide, and a toxic impurity.
  • Novel spectrophotometric techniques employing factorized response spectrum for simultaneous determination.
  • AI-driven data analysis to enhance the precision in assessing drug concentrations.
  • Comprehensive validation of methods adhering to ICH criteria for quality control.
  • Good selectivity achieved for CAR, HCT, and DSA in laboratory-prepared mixtures (4.0-40.0 µg/mL for CAR, 2.0-20.0 µg/mL for HCT, 2.0-16.0 µg/mL for DSA).
  • AI algorithms demonstrated significant efficiency in data analysis without interference from excipients.
  • Validated methods help ensure ecological sustainability and reliability in drug quality assessments.

Cite This Study

Nabil et al. (2026) studied this question.

synapsesocial.com/papers/6a0171983a9f334c28271b2ehttps://doi.org/10.1016/j.greeac.2026.100354
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