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April 12, 2026Green Analytical ChemistryOpen Access

AI-Assisted Novel Spectral Downgrade Technique for Smart Analysis of a Quinary Pharmaceutical Formulation

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Authors

TAThirumalai ArunagiriAGAlagammai GanesanKKKanaka Parvathi Kannaiah

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Overview

This research demonstrates a new AI-enhanced method for analyzing complex pharmaceutical mixtures, suggesting eco-friendly practices for the industry.

Key Points

  • The study aims to improve the analysis of quinary pharmaceutical formulations using AI and sustainable techniques.
  • Developed a Downgrading Spectral Resolution Technique (DSRT) using AI for spectral optimization.
  • Utilized green solvent propylene carbonate to align with Green Analytical Chemistry principles.
  • Employed ratio subtraction techniques to simplify quinary mixtures into binary and quaternary forms.
  • Applied area under the curve (AUC) and first derivative measurements for quantification.
  • Demonstrated strong accuracy and precision in both lab-prepared and commercial tablets.
  • Validated linearity for various components over specific concentration ranges.
  • Confirmed the method's sustainable and eco-friendly profile through AGSA and RGB12 metrics.

Cite This Study

Arunagiri et al. (2026) studied this question.

synapsesocial.com/papers/69db361c4fe01fead37c469fhttps://doi.org/10.1016/j.greeac.2026.100344
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