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Route & Process Enabling Pressure Chemistry

Process R&D Data Centric Process Design

Data Centric Process Design

At Asymchem we implement Data-Centric Process Design to advance synthetic routes into commercially viable manufacturing processes. Leveraging our advanced technology and extensive experience, our matrix teams take a holistic approach, designing processes that meet the highest standards in line with established SELECT criteria.

Data Centric Process Design

01

Planning

Engage in a detailed discussion with the client to listen and clarify the scope.
Identify the key drivers specific to the client and the target compound that will influence decision-making.
Detailed assessment of existing knowledge, process, analytical methods and impurity landscape.
Sustainability metrics are initially collected as part of a benchmarking exercise.
Co-development of a process's R&D plan with key milestones.

02

Fundamental Data Generation

Utilizing our state-of-the-art high throughput experimentation platforms, core data of solubility, reaction screening, kinetic data, liquid-liquid extraction screening and solid form screening can be rapidly generated.

03

Process Design

The fundamental data allows our experienced scientific experts to brainstorm vision processes designing from the ground up.
The matrix team ensures subject matter expert input from a process's genesis.
Practical evaluation then enables further refinement of the designed process guided by the data and client's drivers.
Integrated Process Safety specialists provide guidance and support at all stages.
Crystallization SME’s design the final isolation to ensure the target compound achieves the desired physical attributes.
Concomitant development of the process and analytical methods in a harmonized approach to build towards the control strategy.

04

Process Confirmation

Critical assessment of the lead process(es) to ensure suitability for commercial manufacture and identify any potential risks early.
Robustness assessment of key transformations (inc. DoE) to ensure a suitable operating space.
Engineering and scale-up assessment, of steps through a combination of practical and in silico approaches.
Stability and hold-point assessment to demonstrate robustness of key unit operations and provide manufacturing flexibility,
A small-scale demonstration of the final process to author the technical package/process description.
Impurity genealogy mapping facilitated by the partnership in process and method design.
Thorough documentation of the development chronology including factors that drove decision making.

Output: The Optimum Process For Commercial Manufacture

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