
Improving multiresidue pesticide GC‑MS/MS reliability through GC column longevity
Thursday, May 21 at 16:00 BST | 17:00 CEST | 11:00 EDT | 8:00 PDT
Pesticide residue testing in complex food and botanical matrices pushes GC‑MS/MS systems to their limits. Heavy co‑extracted interferences, diverse analyte chemistries, and increasing sensitivity requirements can overwhelm traditional workflows. Challenging matrices such as roots, spices, and oils rapidly degrade standard GC columns, driving up maintenance and slowing laboratory productivity.
In this SelectScience® webinar, discover a new approach to tackling these high‑matrix challenges. Our experts will share data from a study evaluating an advanced GC column engineered for long‑term robustness and matrix resilience, delivering stable retention times, improved peak shape, and strong signal‑to‑noise across thousands of real‑world injections.
Residue and pesticide testing specialist Carlos Parra of NOW Foods, alongside Colton Myers from Restek Corporation, will discuss how this innovative design boosts sensitivity and extends column lifetime to help labs achieve cleaner, more confident pesticide results.
Certificate of attendance
If you attend the live webinar, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes. If you view the on-demand webinar, you can request a certificate of attendance by emailing editor@selectscience.net.
Webinar details
- Cost: Free to attend
- Location: Online
- Duration: 60 minutes
Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.
Speakers



Who should attend?
- Food Analysis Scientists
- Lab Chemists
- Professionals in food pesticide testing
- Analytical chemists
- Food safety professionals
What will this webinar cover?
- Tips and tricks from industry experts on multi-pesticide analysis by GC MS/MS.
- How novel GC technology and formats can bring sensitivity and peak shape improvement.
- How to reduce MS maintenance and improve lab throughput.
- How to handle challenging food matrices and extend column lifetime.