Search Thermo Fisher Scientific
Search Thermo Fisher Scientific
Trace elemental analysis covers a range of applications that have vastly differing analytical requirements, and there are therefore different types of instruments available on the market, ideal for testing for single elements only or enabling a complete multi-elemental analysis with lowest detection limits.
Knowing which instrument is the most appropriate tool for your analysis depends on the specific analytical challenges your laboratory faces on a day-to-day basis. These challenges can include a variety of different sample matrices to be analyzed, or the need for lowest detection limits or turnaround times in a busy routine laboratory.
This on-demand webcast series will provide you with the knowledge needed to choose the right tool for your elemental analysis, including atomic absorption (AA), inductively coupled plasma-optical emission spectroscopy (ICP-OES) and ICP-mass spectrometry (ICP-MS).
Key learning objectives:
Who should attend?
Nora Bartsch
Product Specialist ICP-OES | Thermo Fisher Scientific
After finishing her education as a chemical technical assistant, Nora joined Thermo Fisher Scientific in Bremen in 2010. In 2016, she became an application specialist for ICP-OES, where she supports the customer with the development and implementation of new methods and regulations in their laboratory routines.
Daniel Kutscher
Product Marketing Specialist | Thermo Fisher Scientific
Daniel Kutscher graduated in Chemistry at the University of Mainz, Germany in 2007. Following that, Daniel joined the Analytical Spectrometry Group at the University of Oviedo, Spain, where he obtained his PhD in 2011. His main research interest in that time was the use of elemental labeling of proteins and peptides to explore new technologies based on elemental mass spectrometry for their accurate quantification.
Daniel joined Thermo Fisher Scientific in 2011 as Product Specialist for ICP-MS. Besides working with hyphenated techniques such as IC-ICP-MS, he is also involved in finding solutions for the high throughput analysis of challenging sample types.
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