Research high throughput

The three macrotrends I selected for today s discussion are the impact of high-throughput research, global organizations, and market-driven research on the speed of innovation. 

A high-throughput research tool is any chemical or biological tool set that allows rapid parallel testing of multiple system parameters in a systematic approach. In this instance the author is referring to experimental systems, but these tools can also include computational approaches. 

Richard M. Gross Clearly, what I have tried to capture is that high throughput is unmistakably going to impact invention. We ve also been able to take the output of high-throughput research to the marketplace, so the impact on innovation is definitely there. 

Richard M. Gross When we talk about high-throughput research, most people think about combinatorial chemistry in the laboratory. When we think about high-throughput research, we also think about the computational dimension and, most importantly, linking them together. 

High throughput research generates large amounts of data, which need to be organised. For data evaluation, a flexible database was required, which was adjusted to the complex workflow of the sensor preparation and screening presented... 

The term translational means high-speed utilization of latest high-throughput research such as discovering new biomarkers in effect it is an extension of the principles of evidence-based medicine. But it also means passing from advanced medical research to clinical applications. Some day in the near future, your doctor could screen you for known diseases, simply by... 

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. 

On the other hand, exploring molecular variations of an active scaffold can be very productive. It is not uncommon for an active molecular scaffold to have variations that can be much more active than the original compound tested. In addition, variations can be even more useful in that they can provide data to molecular models to further refine the understanding of the mode of activity and often lead to even more fruitful areas to explore. Again, high throughput research is most effective when exploring in information rich areas. 

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. 

This chapter will discuss the equipment necessary to set up a catalyst development laboratory and the analytical instrumentation required to characterize the polyethylene produced with experimental catalysts. The introduction of high throughput research methods since the 1990s has improved the potential productivity of such a laboratory. In addition, utilization of designed experiments in which the effect of several variables on the properties under investigation can be screened in a more efficient manner is also necessary to discover new technology for commercialization. 

---