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Webinars LabRulezLCMS Weeks 32-33/2026

Mo, 3.8.2026
| Original article from: LabRulezLCMS Webinars
6 webinars: advanced materials, HPLC troubleshooting, LC overpressure, LC-MS/MS, MALDI-TIMS-MS, mass spectrometry imaging, PFAS, solar cells, spatial imaging, UV-Vis-NIR
<p>LabRulez: Webinars LabRulezLCMS Weeks 32-33/2026</p>

LabRulez: Webinars LabRulezLCMS Weeks 32-33/2026

In the weeks of August 3 and 10, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.

👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION

👉 Search and filter in the largest global database with over 5 500 GC, LC, MS and spectroscopy webinars.

1. Agilent Technologies: Characterising Advanced Materials with the Agilent UV-Vis-NIR: From Thin Films and Solar Cells to Glass and Optical Coatings

Discover how Agilent UV-Vis-NIR spectrophotometers support the characterization of thin films, solar cells, glass, optical coatings, and other advanced materials.

2. Waters Corporation: LC Coffee Breaks: Mastering Overpressure - Prevention and Solutions that Work

Take a practical LC coffee break and learn how to identify the causes of excessive system pressure, prevent overpressure, and resolve common problems efficiently.

3. US HUPO: Spatial Imaging Series: More Than Mass Spec

Explore advances in mass spectrometry imaging and discover innovative spatial analysis approaches that extend beyond conventional MS techniques.

4. SCIEX: PFAS Asia Summit 2026

Explore evolving PFAS regulations, major industry trends, and LC-MS/MS sample preparation workflows for robust and reliable PFAS detection.

5. Technology Networks: Unlocking New Insights Into PFAS Distribution and Biological Impact

Learn how MALDI-TIMS-MS maps PFAS distribution in tissues, differentiates isomers, and reveals associated changes in the hepatic lipidome.

6. Agilent Technologies: Why Your Column Isn’t Always the Culprit: Smarter HPLC Troubleshooting

Learn practical diagnostic steps to identify the true causes of retention shifts, pressure spikes, and poor peak shapes without automatically blaming the LC column.

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