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Published on: April 7, 2023
Optimization of aripiprazole synthesis.
Andrzej Leś1, Katarzyna Badowska-Rosłonek, Marta Łaszcz
1Pharmaceutical Research Institute, Rydygiera 8, 01-793 Warszawa, Poland. a.les@ifarm.waw.pl
Optimized laboratory synthesis of aripiprazole (AR3) achieved 90-99% conversion by refining substrate AR2, Na2CO3, ethanol, and reaction time using D-optimal designs. This study determined the optimal reaction parameters for efficient aripiprazole production.
Area of Science:
- * Pharmaceutical Chemistry
- * Organic Synthesis
- * Process Optimization
Background:
- * Aripiprazole (AR3) is a crucial antipsychotic medication.
- * Efficient and scalable synthesis methods are vital for pharmaceutical production.
- * Previous synthesis routes may require optimization for yield and purity.
Purpose of the Study:
- * To optimize the laboratory-scale synthesis of aripiprazole (AR3).
- * To determine the optimal reaction parameters including substrate AR2, Na2CO3, ethanol, and reaction time.
- * To achieve high conversion ratios and predict the molar content of the crude product.
Main Methods:
- * Laboratory-scale synthesis experiments (10 mmol ARI substrate).
- * Application of D-optimal design for parameter selection.
- * High-Performance Liquid Chromatography (HPLC) for purity assessment.
- * Mass balance calculations and theoretical molar content prediction.
- * Potentiometric and thermogravimetric analysis for verification.
Main Results:
- * Achieved high conversion ratios ranging from 90% to 99%.
- * Optimized levels of AR2, Na2CO3, ethanol, and reaction time were identified.
- * Theoretical predictions of molar content were validated experimentally.
- * Reaction response surfaces were calculated to determine optimal conditions.
Conclusions:
- * The study successfully determined an optimal set of reaction parameters for aripiprazole synthesis.
- * The optimized method offers a high conversion ratio and predictable product yield.
- * This research contributes to more efficient pharmaceutical manufacturing processes.
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