Process high throughput research

The catalyst area also generated an additional set of needs in that many catalysts have a life cycle, which includes activation and performance over some time interval. To understand catalyst performance therefore required the need for continuous operation, as opposed to batch operation. This also brought the technology of on-line analysis into the high throughput research process, as it could be used to follow product formation as a function of time. 

The ability to extract much more understanding from high quality large experimental data sets focused even more attention on the need for better data quality. Jim Cawse [3] presented a Six Sigma study of a high throughput research process and was able to demonstrate that even more variability could be taken out of the process. This was possible because the repeatable steps could be studied to understand their contribuhon to the variability in the overall processes. The result was significantly better data quality, which enabled more powerful uses of the data sets. 

This is a very important addition in that not only can the laboratory process characterization data be gathered more quickly by high throughput research concepts but, if done in the manner described by VandenBussche, the data can eliminate the need for extensive intermediate plant scale testing. VandenBussche is quick to point out that at this stage of comfort with the approach they still conhrm their results at intermediate scale but the time needed to do this is greatly reduced. 

Micro reactors permit high-throughput screening of process chemistries imder controlled conditions, unlike most conventional macroscopic systems [2], In addition, extraction of kinetic parameters from sensor data is possible, as heat and mass transfer can be fully characterized due to the laminar-flow condihons applied. More uniform thermal condihons can also be utilized. Further, reactor designs can be developed in this way that have specific research and development funchons. 

Herbst et al.2 described automated high-throughput ADME/Tox profiling for optimization of preclinical candidates, a Profiling Toolkit enables researchers to request profiles, track progress, receive notification when the requests have been filled, and view data. Automated systems and bar coding improve efficiency, help track compound and plate locations, and create audits trail of the profiling process. 

Q High-Throughput Analysis in Support of Process Chemistry and Formulation Research and Development in the Pharmaceutical Industry... 

---