webinar

Analysis of veterinary drugs in meat with UHPLC-MS/MS

Supported by:

17 January 2017

Supported by:

17 January 2017

Agilent Technologies veterinary drugs webinar

About this webinar

Analysis of veterinary drugs in meat is challenging due to the vast number of disparate analytes and complex matrix. This webinar provided a complete solution including sample extraction using the Enhanced matrix removal (EMR)-Lipid along with a rapid and robust quantitative method using UHPLC-MS/MS for >100 veterinary drugs targeted by the USDA in meat.

In his presentation Tarun discussed an effective sample extraction procedure featuring the Enhanced Matrix Removal (EMR)-Lipid for > 100 veterinary drugs in bovine meat. As a complement to this extraction procedure, and others more traditionally used, he talked about a rapid and sensitive method for veterinary drugs analysis using the UHPLC-MS/MS with low ng/g reporting limits.

Keynote speaker

Dr. Tarun Anumol – LC-MS Applications Scientist, Market Development Group, Agilent Technologies

Dr Tarun Anumol veterinary drugs webinarDr Tarun Anumol, LC-MS Applications Scientist, Market Development Group, Agilent Technologies. Dr Anumol obtained his PhD in Environmental Engineering at the University of Arizona working with Dr Shane Snyder in 2014. Tarun also has a Master’s in Civil & Environmental Engineering from Carnegie Mellon University and a Bachelor’s degree in Chemical Engineering from India. His work focuses on developing sensitive analytical techniques using LC-MS technologies for detection of emerging organic contaminants in the Environment and Food.

Related organisations

3 responses to “Analysis of veterinary drugs in meat with UHPLC-MS/MS”

  1. Cristian Herbas says:

    I am a chemical analyst, providing technical assistance services, advice and suggestions for equipment acquisitions, training and applications of analytical methods, as well as research new applications for various analytes, metabolites and matrices, also development methods. For that I am interested in this webinar.

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