LCMS webinars focusing on Academy/Principles - page 12
Understanding Chromatographic Selectivity
We review the importance of chromatographic selectivity in RPLC from a theoretical and practical perspective and how this relates to analyte resolution for method development.
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Already taken place Th, 3.10.2024
MAC-MOD ANALYTICAL
Mastering Chromatographic Adjustments: A Guide to USP Chapter 621
To be successful in implementing USP Chapter 621, we show you the practicality of using Agilent recommended LC supplies and explore how they can enhance laboratory efficiency.
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Already taken place Th, 3.10.2024
Agilent Technologies
Analytical Method Development
The fifth episode will expleain how to select analytical column kit and the critical parameters for your method.
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Already taken place We, 2.10.2024
Waters Corporation
LC Instrument Hardware
This webinar will give an overview of the different LC modules and how they work.
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Already taken place Tu, 1.10.2024
Agilent Technologies
PFAS Analysis in Drinking, Ground, and Surface Water
We will give insights how the analysis of PFAS in environmental samples works in routine testing labs.
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Already taken place Th, 26.9.2024
Waters Corporation
PFAS in Food
We will discuss the successful method implementation from sample preparation to final report and hear real-life experiences.
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Already taken place Th, 26.9.2024
Waters Corporation
Quantification for Targeted Analysis
The MS Quan application’s main workflows and overarching features are introduced and illustrated with a PFAS analysis dataset.
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Already taken place We, 25.9.2024
Waters Corporation
Automated Sample Preparation
The Andrew+™ pipetting robot offers fully automated liquid handling using electronic pipettes and labware holders.
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Already taken place We, 25.9.2024
Waters Corporation
General Sample Preparation
Join us in exploring SPE key parameters and best practices for implementing successful SPE methods.
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Already taken place We, 25.9.2024
Waters Corporation
Software and Instruments for NTS
This session will focus on presenting in detail the data evaluation of HRMS-Screening experiments.