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Improve your ICP-MS productivity and workflow with the ADS2/AVS

Th, 30.4.2026 19:00 CEST
Webinar on optimizing ICP-MS analysis of high-matrix samples using MassHunter 5.4 and ADS2/AVS, focusing on calibration efficiency and streamlined workflows.
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Agilent Technologies: Atomic Spectroscopic webinars
Agilent Technologies: Atomic Spectroscopic webinars

The analysis of high matrix samples like soils and sediments by ICP-MS can be challenging and time-consuming, especially for laboratories with a high sample load. The multi-element measurement capability of ICP-MS means that analysts can quantify many elements in a sample. However, determining a large suite of elements typically requires the analyst to prepare multiple suitable calibration standards for those elements. Also, given the complexity and high total solids content of some environmental samples, a lot of analyst time is needed to prepare the samples for analysis. Once prepared, analysts may need to further dilute the samples to ensure that all elements are measured within the calibration range, which takes more time and resources disrupting the analytical workflow. This presentation will discuss the advantages and enhancements of MH 5.4 and the Agilent ADS2/AVS system for routine analysis.

Presenter: L. Craig Jones (ICP-MS Application Scientist, Agilent Technologies, Inc.)

Craig has been with Agilent for over 15 years as an ICP-MS applications scientist. He has been involved with multiple type of applications for ICP-MS, including environmental, pharmaceutical, semiconductor, geologic, and clinical analyses, to name a few. Previous to Agilent he worked in an environmental lab performing analysis and supervising both the inorganic and organic sections of the laboratory. In his spare time, Craig enjoys volunteering at the local marine science center, mountain biking, hiking, and relaxing at the beach. Craig obtained a Bachelor of Science degree in chemistry from Fort Lewis College in Durango, CO.

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LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike