LCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

LCMS webinars focusing on Sample prep - page 44

A Total Workflow for Multi-Class, Multi-Residue Analysis of Pesticides in Fatty Food Matrices

A Total Workflow for Multi-Class, Multi-Residue Analysis of Pesticides in Fatty Food Matrices

In this webinar, Limian Zhao and Dr. Xia Yang from Agilent Technologies will present a complete workflow for the analysis of multi-class, multi-residue pesticides in fatty food matrices.
RECORD
|
Already taken place Tu, 28.7.2020
SelectScience
tag
share
more
A Total Workflow for Multi-Class, Multi-Residue Analysis of Pesticides in Fatty Food Matrices
Agilent Virtual Food Summit - Part II Food for Thought

Agilent Virtual Food Summit - Part II Food for Thought

This virtual food summit will provide insight on the latest trends and issues in the industry and how Agilent has developed systems and applications to meet the latest requirements.
RECORD
|
Already taken place Tu, 30.6.2020
Agilent Technologies
tag
share
more
Agilent Virtual Food Summit - Part II Food for Thought
"Ask The Expert" Webinar: Automated online µSPE clean-up to improve efficiency, robustness and productivity in LC- and GC-MS/MS analysis of pesticide residues

"Ask The Expert" Webinar: Automated online µSPE clean-up to improve efficiency, robustness and productivity in LC- and GC-MS/MS analysis of pesticide residues

This webinar will highlight an automated optimized online miniaturized cartridge clean-up approach providing more effective clean-up of QuEChERS extracts to overcome the analytical challenges.
RECORD
|
Already taken place Th, 28.5.2020
Thermo Fisher Scientific
tag
share
more
"Ask The Expert" Webinar: Automated online µSPE clean-up to improve efficiency, robustness and productivity in LC- and GC-MS/MS analysis of pesticide residues
Sample Preparation Approaches for Varying Sample Matrices

Sample Preparation Approaches for Varying Sample Matrices

How do you choose the right sample preparation solutions? Learn how to handle the unique challenges of various sample matrices with case studies from clinical, environmental, and proteomics labs.
RECORD
|
Already taken place Tu, 19.5.2020
Thermo Fisher Scientific
tag
share
more
Sample Preparation Approaches for Varying Sample Matrices
MOSH/MOAH analysis based on LC-GC coupling and automated sample preparation with epoxidation and AlOx clean-up as well as efficient batch processing of data using a dedicated MOSH/MOAH Software

MOSH/MOAH analysis based on LC-GC coupling and automated sample preparation with epoxidation and AlOx clean-up as well as efficient batch processing of data using a dedicated MOSH/MOAH Software

The GERSTEL-MOSH/MOAH-Sample Prep Solution is based on an online HPLC-GC/FID system combined with the GERSTEL MultiPurpose Sampler (MPS robotic) for automated sample preparation and sample introduction.
RECORD
|
Already taken place Tu, 19.5.2020
GERSTEL
tag
share
more
MOSH/MOAH analysis based on LC-GC coupling and automated sample preparation with epoxidation and AlOx clean-up as well as efficient batch processing of data using a dedicated MOSH/MOAH Software
Agilent's Virtual Food Summit - Increase your food laboratory workflows

Agilent's Virtual Food Summit - Increase your food laboratory workflows

Během tohoto virtuálního semináře Vám tým odborníků Agilent Technologies představí možnosti celé škály GC/MSD, GC/TQ, GC/Q-TOF a UHPLC-MS/MS, LC-HRMS řešení pro analýzu kontaminantů v potravinách.
RECORD
|
Already taken place Mo, 18.5.2020
Agilent Technologies
tag
share
more
Agilent's Virtual Food Summit - Increase your food laboratory workflows
Sample Clean-Up in the Fast Lane

Sample Clean-Up in the Fast Lane

The harmful consequences of contamination, specifically by lipids, and how Captiva EMR-Lipid provides excellent cleanup for lipid-containing samples.
RECORD
|
Already taken place Mo, 13.4.2020
Agilent Technologies
tag
share
more
Sample Clean-Up in the Fast Lane
State of the Art Automated Sample Preparation for 3-MCPD, MOSH/MOAH, Glyphosate, PEth, and more

State of the Art Automated Sample Preparation for 3-MCPD, MOSH/MOAH, Glyphosate, PEth, and more

The subject of this presentation is practical results achieved from comprehensive automation of complex sample preparation workflows for LC/MS and GC/MS.
RECORD
|
Already taken place Th, 2.4.2020
GERSTEL
tag
share
more
State of the Art Automated Sample Preparation for 3-MCPD, MOSH/MOAH, Glyphosate, PEth, and more
Techniques for Avoiding Unexpected Problems in LC and GC Analysis

Techniques for Avoiding Unexpected Problems in LC and GC Analysis

Strategies for sample cleanup. Chromatography problems caused by sample matrix - Physical effects - Chemical effects.
RECORD
|
Already taken place Tu, 11.2.2020
Agilent Technologies
tag
share
more
Techniques for Avoiding Unexpected Problems in LC and GC Analysis
Shimadzu Cannabis Analysis Series - Sample Prep/Purification Strategies

Shimadzu Cannabis Analysis Series - Sample Prep/Purification Strategies

This webinar is on Sample Preparation and Purification Strategies for Cannabis Testing using chromatographic and spectrometric techniques.
RECORD
|
Already taken place We, 1.1.2020
Shimadzu Corporation
tag
share
more
Shimadzu Cannabis Analysis Series - Sample Prep/Purification Strategies
 

Related content

ISC 2026 Short Course 3 - Interpretation of Mass Spectra: Basic Introduction for Chromatographers

ISC 2026 Short Course 3 - Interpretation of Mass Spectra: Basic Introduction for Chromatographers

Tu, 10.2.2026
International Symposium on Chromatography - (ISC)
Elevate Your HPLC Performance with a Modern CDS

Elevate Your HPLC Performance with a Modern CDS

Tu, 10.2.2026
Thermo Fisher Scientific
Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

Tu, 10.2.2026
Eurachem
Other projects
GCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike