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Multi-Component Methods in Minutes using MassHunter Quantitative Analysis

RECORD | Already taken place Th, 27.1.2022
The use of semi-automated peak identification and deconvolution coupled with the NIST library to rapidly build a method to identify and calibrate a series of multi-component semivolatiles standards.
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Agilent Technologies: GC/MS MassHunter Virtual Workshop
Agilent Technologies: GC/MS MassHunter Virtual Workshop

MassHunter Quantitative Analysis is an easy-to-learn software suite containing a variety of workflow options to easily construct data analysis methods and quickly process large batches of data.

This webinar will detail the use of semi-automated peak identification and deconvolution coupled with the NIST library to rapidly build a method to identify and calibrate a series of multi-component semivolatiles standards. Options for rapid batch review will also be discussed, along with common outlier setup such as accuracy and internal standard response deviation.

Key Learning Objectives:

  • Strategies for quickly building calibration tables for multi-component analyses
  • Using Batch-at-a-Glance and outliers to quickly review and flag non-conformant data
  • How to process a multi-component MDL study in a single click

Who Should Attend:

Customers new to MassHunter Quantitative Data Analysis, especially those transitioning from MSD Chemstation

Presenter: Rachael Ciotti (GC/MS Application Specialist, Agilent Technologies, Inc.)

Rachael Ciotti is a GCMS Application Specialist at Agilent Technologies in Wilmington, DE. Previously, she was a Field Service Engineer specializing in installing, maintaining, and repairing Agilent GC and GC/MS systems. Prior to joining Agilent, Rachael worked at DuPont as an analytical chemist responsible for GC and GC/MS method development and transfer to manufacturing labs. She holds a Bachelor of Arts in Mathematics from Rutgers University.

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