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Junior Small molecule preformulation

Brochures and specifications | 2018 | Unchained LabsInstrumentation
Sample Preparation, RAMAN Spectroscopy, XRD
Industries
Manufacturer
Unchained Labs

Summary

Significance of the topic



High-throughput preformulation screening is a critical step in early drug development. It enables rapid evaluation of solubility, polymorphic form, and formulation parameters that determine the developability and manufacturability of small molecule active pharmaceutical ingredients. Automated platforms streamline manual bench tasks, reduce human error, and accelerate decision making.

Study Objectives and Overview



This workflow guide presents the capabilities of the Junior automated platform for small molecule preformulation. It describes preconfigured screening decks for solubility, polymorph, salt and cocrystal selection, and reaction optimization. The primary goals are to increase throughput, ensure reproducible experimental conditions, and expand the formulation design space.

Methodology and Instrumentation



The Junior platform integrates multiple modules on a single deck to perform parallel experiments under tightly controlled conditions. Key components include:
  • Heated multi-tip dispensers for delivering solvents and reagents up to 120 °C
  • Powder dispensers with vibratory and classic stirrer mechanisms for precise solid addition from 0.5 mg to 100 mL hopper capacity
  • Balance with integrated camera offering standard and high-sensitivity options down to 0.01 mg resolution
  • Heated filter block enabling transfer and filtration of 96 solutions at elevated temperatures without API precipitation
  • 96-well crystallizer block for independent polymorph screening
  • pH measurement probes and vortexing station for slurry and reaction screening
  • Deck screening pressure reactor for reactions up to 200 psi at 180 °C


Experiments are designed using a logical, recipe-oriented software interface that supports custom protocols and virtual integration with off-deck instruments such as HPLC, XRD, Raman, and birefringence microscopy.

Main Results and Discussion



The Junior platform enables evaluation of up to 384 crystallizations in a single run and parallel processing of 96 solution transfers or reaction screens. Crystals can be analyzed by birefringence, XRD, and Raman spectroscopy without manual transfer, preserving sample integrity. The heated filter block and multi-temperature control allow precipitation, cooling, and evaporation studies on one deck. Users report consistent yield, reduced sample consumption, and rapid identification of optimal conditions for solubility, polymorphism, and salt or cocrystal formation.

Benefits and Practical Applications



The automated workflow delivers:
  • High reproducibility and standardization across experimental runs
  • Expanded developability screening in less time compared to manual methods
  • Integrated data capture and sample tracking for QA/QC
  • Flexibility to screen solvents, ligands, catalysts, and reagents in parallel
  • Reduced manual labor and lower risk of contamination


Applications span early‐stage solubility and polymorph screening, chiral resolution, logP/logD determinations, solvent and salt selection, cocrystal screening, powder dispensing, and reaction optimization.

Future Trends and Opportunities



Advances in machine learning–driven experiment design will further optimize screening workflows. Integration with cloud platforms and real-time data analytics can enable adaptive screening strategies. Expansion of modular hardware options and virtual instrument integration promises greater flexibility for custom applications in formulate-to-process development.

Conclusion



The Junior automated platform offers a comprehensive solution for small molecule preformulation screening. Its modular design, high throughput, and integrated analytics support rapid and reproducible identification of optimal formulations and reaction conditions, accelerating drug development timelines.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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