Environmental laboratories are always looking for ways to save costs without compromising analytical results in terms of sensitivity, robustness or quality controls. To minimize the cost and efforts in the lab, the ideal analytical system typically needs to be able to decrease manual handling and the amount of chemicals used for sample preparation. In addition, increasing the availability and optimal use of the analytical systems is a must.

Separation Science, in collaboration with Thermo Fisher Scientific, is offering a on-demand presentation describing fully automated GC-MS/MS analysis of environmental contaminants in surface waters. In this presentation, the following will be covered:
- Full automation from sample preparation to result for semi-volatile contaminants in various water matrices
- How automation decreased the direct (and indirect) costs of the lab to achieve optimal analytical results for the customers
- What is needed to implement these savings in your lab
- How a new GC-MS/MS helped to achieve high sensitivity and how the system opens the doors to future possibilities.

http://webinar.sepscience.com/form/full ... n-your-lab

The main presentation is given by Cees Bijsterbosch, an organic chemistry specialist working at Het Waterlaboratorium, a company that specializes in high-quality water research and which has conducted analyses for drinking water companies and other customers in the western part of the Netherlands.

The key learning outcomes from the on-demand presentation are:

- solutions for organic contaminant analysis and resources
- organic contaminant analysis workflow from sample preparation to data reporting
- efficiency and productivity improvement with cost reduction

If you're a lab analyst or operator who uses GC-MS/MS systems for organic analysis, or work as a contract lab or utility lab manager or director who looks for optimization of productivity with low cost then this presentation is aimed at you. To register free click the link below:

http://webinar.sepscience.com/form/full ... n-your-lab