Green simultaneous quantification of levodopa, carbidopa, and benserazide in anti-Parkinson's tablets by ATR-FTIR spectroscopy combined with hurdle modelling and machine learning
Abstract
) was the best overall regressor for all APIs. When applied to commercial samples, the model classifiers correctly identified the presence/absence of all APIs, and calibration transfer using only six additional commercial pellets significantly reduced bias for all three APIs and achieved a high AGREE green score (0.75) at the same time. These results show that ATR-FTIR, combined with a carefully designed hurdle model workflow, can provide a rapid and green screening tool for multi-API in anti-Parkinson's medications.
Fields of Study & Subjects
Spectroscopy and Chemometric Analyses
Parkinson's Disease Mechanisms and Treatments
Pharmaceutical Quality and Counterfeiting
Publication details
- Journal / source
- RSC Advances
- Publisher
- Royal Society of Chemistry (RSC)
- Volume
- 16
- Issue
- 29
- Pages
- 26513–26525
- Publication date
- 1 January 2026
- Language
- EN