Junior Small Molecule Preformulation
Brochures and specifications | 2017 | Unchained LabsInstrumentation
Preformulation studies are fundamental in early-phase drug discovery and development. They provide critical insights into the physicochemical properties of active pharmaceutical ingredients (APIs), such as solubility, stability, crystallinity and compatibility. Efficient preformulation accelerates formulation design, mitigates development risks and ensures quality, safety and efficacy.
This application note introduces a high-throughput automation platform designed to streamline small molecule preformulation tasks. The goals are to integrate reaction screening, crystallization, polymorph analysis, solubility evaluation and powder handling into a unified workflow. By automating repetitive bench tasks, the system aims to increase throughput, reproducibility and data consistency.
The platform combines modular hardware and software:
Software modules include Library Studio for experimental design, Automation Studio for execution and PolyView for integrated data review and reporting.
Automation of preformulation workflows yielded significant improvements in efficiency and data quality. Users could screen a larger number of variables per day, maintain consistent protocol execution and quickly identify optimal conditions for crystallization and solubility. The integrated data management ensured seamless correlation between experimental parameters and analytical outcomes, facilitating informed decision-making.
The automated platform delivers several advantages:
Emerging trends include integration of machine learning for predictive formulation, miniaturization for nano-scale screening, and cloud-based platforms for collaborative data analysis. Advanced inline analytical techniques and feedback loops will further reduce cycle times and accelerate drug development.
The described automation approach transforms small molecule preformulation into a routine, high-throughput process. By combining hardware configurability with intuitive software, it unlocks deeper experimental exploration and faster progression from candidate screening to formulation.
No specific literature references provided.
Sample Preparation, RAMAN Spectroscopy, XRD
IndustriesProteomics
ManufacturerUnchained Labs
Summary
Importance of Small Molecule Preformulation
Preformulation studies are fundamental in early-phase drug discovery and development. They provide critical insights into the physicochemical properties of active pharmaceutical ingredients (APIs), such as solubility, stability, crystallinity and compatibility. Efficient preformulation accelerates formulation design, mitigates development risks and ensures quality, safety and efficacy.
Study Goals and Overview
This application note introduces a high-throughput automation platform designed to streamline small molecule preformulation tasks. The goals are to integrate reaction screening, crystallization, polymorph analysis, solubility evaluation and powder handling into a unified workflow. By automating repetitive bench tasks, the system aims to increase throughput, reproducibility and data consistency.
Methodology and Instrumentation
The platform combines modular hardware and software:
- Solvent tray and passive plate racks for sample organization
- Cooled and heated stations with stirring capabilities
- Liquid dispensing with heated 4-tip dispenser and septum-piercing tips
- Temperature-controlled pipetting and a 96-well heated filter block to minimize cross-contamination
- Positive displacement pipetting for viscous liquids and adaptive solid dispensers with vibration-assisted powder dosing
Software modules include Library Studio for experimental design, Automation Studio for execution and PolyView for integrated data review and reporting.
Main Results and Discussion
Automation of preformulation workflows yielded significant improvements in efficiency and data quality. Users could screen a larger number of variables per day, maintain consistent protocol execution and quickly identify optimal conditions for crystallization and solubility. The integrated data management ensured seamless correlation between experimental parameters and analytical outcomes, facilitating informed decision-making.
Benefits and Practical Applications
The automated platform delivers several advantages:
- High-throughput reaction and polymorph screening
- Enhanced solubility profiling under precise temperature control
- Reproducible crystallization on universal substrates for downstream analysis
- Accurate dispensing of viscous and solid materials with minimal waste
- Full integration of experimental design, execution and analytics to expedite preformulation development
Future Trends and Potential Applications
Emerging trends include integration of machine learning for predictive formulation, miniaturization for nano-scale screening, and cloud-based platforms for collaborative data analysis. Advanced inline analytical techniques and feedback loops will further reduce cycle times and accelerate drug development.
Conclusion
The described automation approach transforms small molecule preformulation into a routine, high-throughput process. By combining hardware configurability with intuitive software, it unlocks deeper experimental exploration and faster progression from candidate screening to formulation.
Reference
No specific literature references provided.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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