Generalized Digital Framework for the Sustainable Recovery of Active Pharmaceutical Ingredients from Solid Drug Formulations

The global rise in pharmaceutical use over the past two decades has led to more unused drug products and a corresponding surge in pharmaceutical waste. Thus, there is an impetus to develop processes for recovering active pharmaceutical ingredients (APIs) from unused drugs. This study introduces a multiobjective optimization framework for solvent screening to enable sustainable recovery of APIs using a general separation train with cooling crystallization as the final step. The objectives considered are recovery during crystallization, the relative solubilities of API and excipients, and process mass intensity (PMI), which accounts for process sustainability. The framework is demonstrated using various commercial formulations of paracetamol (PA) for experimental validation. The recoveries obtained were in the range 57–63%, and the recovered API samples were of high chemical purity based on characterization using Raman spectroscopy and powder X-ray diffraction (PXRD).

Publication Details

Journal
Organic Process Research & Development
Published
2026-03-24
DOI
https://doi.org/10.1021/acs.oprd.5c00400
Primary Topic
Drug Solubulity and Delivery Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generalized Digital Framework for the Sustainable Recovery of Active Pharmaceutical Ingredients from Solid Drug Formulations

Organic Process Research & Development
Drug Solubulity and Delivery Systems
article

Generalized Digital Framework for the Sustainable Recovery of Active Pharmaceutical Ingredients from Solid Drug Formulations

article en

Abstract

The global rise in pharmaceutical use over the past two decades has led to more unused drug products and a corresponding surge in pharmaceutical waste. Thus, there is an impetus to develop processes for recovering active pharmaceutical ingredients (APIs) from unused drugs. This study introduces a multiobjective optimization framework for solvent screening to enable sustainable recovery of APIs using a general separation train with cooling crystallization as the final step. The objectives considered are recovery during crystallization, the relative solubilities of API and excipients, and process mass intensity (PMI), which accounts for process sustainability. The framework is demonstrated using various commercial formulations of paracetamol (PA) for experimental validation. The recoveries obtained were in the range 57–63%, and the recovered API samples were of high chemical purity based on characterization using Raman spectroscopy and powder X-ray diffraction (PXRD).

Organic Process Research & Development
Openalex Percentile: Top 9%
Drug Solubulity and Delivery Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.