Serial Dilution

 

 

A common protocol executed by research lab scientists is the creation of serial dilution matrices in order to rapidly identify sub-optimal concentrations of reagents.

Researchers working across the whole life-sciences industry: small molecules, biologics, advanced therapies; and from discovery to process R&D will find utility in the improved productivity workflow demonstrated here.


Despite their ubiquity, setting up these routine plates is not straightforward. Many require non-continuous dilution factors, making pipetting less simple. They also include multiple pipetting actions, increasing the risk of cross contamination and human error. It’s also a huge waste of time and therefore money for an organisation to have highly skilled researchers involved in the preparation of these routine plates.

 Synthace's workflow editor makes it easy to quickly design your own workflow. 

Synthace's workflow editor makes it easy to quickly design your own workflow. 

 A viable solution for teams looking to free-up valuable time is to invest into automation equipment such as the Hamilton STAR, Tecan EVO or Gilson PipetMax amongst others. In order to justify the purchase of one of these liquid handling units, users typically envisage a spectrum of experiments that they will be able to automate. Unfortunately, the low-level programming of automation found on liquid handling robots only satisfies workflows that are going to be run with fixed parameters. Furthermore, programming these matrix gradient titration experiments can be time consuming to build in the first place and are impractical to rebuild if changes to the automation protocol are needed (such as changes to the concentration gradient differences, number of samples or plate types). Having felt these frustrations, we have developed an in-house solution, which we latterly developed into our standalone software product..

 
 

Case Study

 
 

In a real client project using our software, a growth medium containing multiple sources of component X and Y was investigated across a range of intervals – the operating range of the factors.

Our software was used to rapidly set-up and simulate a plate in matrix format, before then controlling the automation leading to an efficient digital to physical translation.

Multiple growth medium components, including the two variables of interest for scoping, were distributed by Synthace's software across a 384 well plate according to a simple Excel spreadsheet design.

The fluorescence output of an engineered cell line was measured as a function of component X and Y concentration ranges. This representation of the data shows there to be a concentration dependency of both components: once met the fluorescence output increases significantly. These results were useful for identifying a range of parameters to further explore more complex parameters in a follow-on experiment (e.g. in a DoE).

 

 

Ready to discover how Synthace can transform your lab?

 

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