Junior Process chemistry
Brochures and specifications | 2018 | Unchained LabsInstrumentation
Reaction screening and process optimization are critical in modern chemical development, enabling researchers to rapidly identify high-yield conditions, control impurity profiles and streamline synthetic routes for pharmaceuticals and fine chemicals.
This guide introduces the Junior automated workflow system designed to accelerate reaction screening and process optimization. It outlines how the platform supports high-throughput experimentation, real-time monitoring and precise control of reaction parameters to shorten development timelines.
The Junior system features eight independently controlled reactors within an inert enclosure, each capable of varied temperature (–20 to 200 °C) and pressure (30–400 psi) settings. Core automated functions include in situ reagent addition, slurry sampling under pressure, overhead stirring, heating/cooling and vortexing. Key modules and components include:
Implementation of the Junior platform yields several advantages:
The Junior system serves process chemists in various contexts:
Integration of machine learning with automated platforms like Junior will enable predictive condition selection and closed-loop experimentation. Advances in real-time analytics and AI-driven workflows promise self-optimizing processes and further reductions in development timelines.
The Junior automated workflow system offers a versatile, high-throughput solution for reaction screening and process optimization. Its precise instrumentation and modular design enhance efficiency, data quality and decision-making in chemical R&D.
Sample Preparation
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Summary
Significance of the Topic
Reaction screening and process optimization are critical in modern chemical development, enabling researchers to rapidly identify high-yield conditions, control impurity profiles and streamline synthetic routes for pharmaceuticals and fine chemicals.
Objectives and Overview
This guide introduces the Junior automated workflow system designed to accelerate reaction screening and process optimization. It outlines how the platform supports high-throughput experimentation, real-time monitoring and precise control of reaction parameters to shorten development timelines.
Methodology and Instrumentation
The Junior system features eight independently controlled reactors within an inert enclosure, each capable of varied temperature (–20 to 200 °C) and pressure (30–400 psi) settings. Core automated functions include in situ reagent addition, slurry sampling under pressure, overhead stirring, heating/cooling and vortexing. Key modules and components include:
- Optimization Sampling Reactor (OSR) for parallel pressurized runs (up to 96 reactions, hydrogenation compatible)
- Deck Screening Pressure Reactor (DSPR) rated to 200 psi at 180 °C
- Multi-tip heated liquid dispensers (1 mL tips, up to 120 °C) and single-tip dispensers
- Precision powder dosing with classic and vibratory mechanisms (down to 0.5 mg)
- Three-position orbital vortex station (60–3570 rpm)
- pH measurement probe (1–13 units) and balance with integrated camera
- Off-deck integration options for HPLC and GC analysis
Main Results and Discussion
Implementation of the Junior platform yields several advantages:
- Rapid kinetic profiling through automated, real-time sampling, reducing guesswork in timepoint selection
- High-throughput screening of continuous variables (temperature, concentration, pressure) and discrete catalysts or solvents
- Enhanced experimental throughput with up to 96 pressurized reactions per deck and precise dosing of solids, liquids and slurries
- Consistent data quality via automated environmental control and reproducible sampling protocols
Benefits and Practical Applications
The Junior system serves process chemists in various contexts:
- Optimization of catalyst loading and reaction parameters to maximize yield and selectivity
- Screening new synthetic routes and impurity mitigation strategies
- Mapping process robustness to inform scale-up risk assessments
Future Trends and Opportunities
Integration of machine learning with automated platforms like Junior will enable predictive condition selection and closed-loop experimentation. Advances in real-time analytics and AI-driven workflows promise self-optimizing processes and further reductions in development timelines.
Conclusion
The Junior automated workflow system offers a versatile, high-throughput solution for reaction screening and process optimization. Its precise instrumentation and modular design enhance efficiency, data quality and decision-making in chemical R&D.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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