Join our “Introduction to ICP spectrometry” educational webinar series and learn how to optimize daily routines in your trace elemental analysis with ICP-OES and ICP-MS . Our experts will demonstrate best practice from sample prep to data evaluation and provide you valuable tips and tricks to simplify and enhance your analytical performance.
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Webinar agenda: Introduction to ICP spectrometry: Part 1
April 4, 2022 | 10:00 BST | 11:00 CEST
Sample Prep – creating serial dilutions from stock standards
Sample introduction options and considerations – matrix matching, physical and chemical interferences
Inductively Coupled Plasma – RF, plasma effects
ICP-OES and ICP-MS cleaning and maintenance
Introduction to ICP spectrometry: Part 2
April 5, 2022 | 10:00 BST | 11:00 CEST
System Optimization – Performance reports, Mass Cal/Cross Cal, KED interface cleaning, Conditioning
Method development – Correct wavelength/viewing mode and isotope selection, interferences – spectral and m/z, determine correct internal standards to use and validation of method
Data evaluation – correcting for background and interferences, stability, and sensitivity verification, Examine calibration curves for R2, LOD and saturation, QC data, carryover, and drift correction
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At E&L USA Thermo Fisher Scientific will host two plenary talks by experienced E&L scientists. Benton Cartledge, Ph.D. Research Scientist, PPD Laboratory services, will present “Understanding Extractables Profiles Based on the Polymerization Chemistry of Different Materials.” This presentation will focus on butyl rubber, silicone rubber, PET, PBT and polycarbonate. The goal of the presentation will be to provide typical extractables observed from these materials and explain why/how they are formed from the polymerization process.
In addition, Chris Shevlin, Scientific and Educational Affairs Manager, Thermo Fisher Scientific, will present “Identification of Polymer Additives Extracted from Single-use Bioreactor Bags.” This workflow has the benefits of sample preparation automation using accelerated solvent extraction and LC HRMS, which can significantly increase sample throughput compared to traditional techniques such as reflux or Soxhlet extraction.
Both are trending topics in the field of E&L and should make for fruitful discussions.
To learn more about Thermo Fisher's E&L solutions, read this new blog post Thermo Fisher to Present End-to-End E&L Solutions at Extractables & Leachables USA
In the development of biotherapeutics, a thorough understanding of a molecule’s product quality attributes (PQAs), and their effect on various structure-function relationships and long-term stability, is essential for ensuring the safety and efficacy of the product. At present, numerous routine chromatographic and electrophoretic assays are used to characterize and monitor individual PQAs. However, execution of multiple routine methods for batch release, stability time-points, and process/formulation development support becomes time and resource intensive, and often provides an indirect measure of biologically relevant PQAs. Introduced in 2015, the multi-attribute method (MAM), based on LC-MS peptide mapping and automation principles, provides simultaneous and site-specific detection, identification, quantitation, and quality control (monitoring) of PQAs.
A dedicated Pfizer team has been regularly employing MAM on an in-house MAM platform to support biotherapeutic process and product development. In parallel, this team has continually explored and implemented improvements in the Pfizer MAM platform, including sample preparation and data processing automation, to move toward the next generation of MAM. Recently, a pre-commercial demo model of the new Thermo Scientific Orbitrap Exploris MX mass detector was evaluated in-house by the Pfizer MAM team. Here, the results of the evaluation and an assessment of the Orbitrap Exploris MX mass detector’s suitability as a next generation MAM instrument are presented.
Pfizer MAM platform milestones for characterization and routine monitoring
Automation of sample handling and data processing and reporting
Evaluation and optimization of the Orbitrap Exploris MX mass detector for MAM