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SelectScience
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SelectScience® je inovativní online vydavatel v oboru vědy, který propojuje vědce s informacemi a pomáhá jim při výběru nejlepší laboratoře prostřednictvím kombinace bohatého obsahu, informací typu peer-to-peer a důvěryhodných recenzí produktů
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Improving multiresidue pesticide GC‑MS/MS reliability through GC column longevity

ZÁZNAM | Proběhlo Čt, 21.5.2026
Analýza reziduí pesticidů ve složitých potravinářských a rostlinných matricích klade na systémy GC-MS/MS maximální nároky.
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Select Science: Improving multiresidue pesticide GC‑MS/MS reliability through GC column longevity
Select Science: Improving multiresidue pesticide GC‑MS/MS reliability through GC column longevity

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.¨

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.

Speaker: Carlos Parra (QC MS Specialist II, NOW Foods)

Carlos Parra is a QC MS Specialist II at NOW Foods where he has spent the past five years specializing in contaminant analysis, including pesticide residue testing, using GC-MS/MS, LC-MS/MS, Orbitrap MS, and TOF MS technologies. He brings over 21 years of experience as an analytical chemist across multiple industries – pharmaceuticals, packaging, cosmetics, medical devices, and food. From this experience he has developed deep expertise in mass spectrometry, method development, and complex analytical workflows.

Speaker: Colton Myers (Product Manager, Restek Corporation)

Colton Myers is a product manager for GC columns at Restek Corporation with over 10 years of experience in research and development. He specializes in driving new GC column technologies from concept to market, combining deep technical expertise with a strong focus on innovation and commercialization. He has a BS in chemistry from Juniata College and a Master of Management in Corporate Innovation and Entrepreneurship from Penn State University.

Moderator: Olivia Long (Editorial Team, SelectScience)

As a Science Editor specializing in pharmaceutical and applied research, Olivia Long brings a strong background in experimental biology and scientific communication. She holds a B.Sc. in Pharmacology from the University of Southampton and an M.Sc. in Neuroscience from the University of Sussex, where she investigated neuro‑oncology drug‑resistance pathways using patient‑derived cell models.

Her broader laboratory experience spans R&D hygiene testing, controlled environment entomology workflows, and protocol development, giving her a practical understanding of diverse analytical and research environments. She is dedicated to translating complex science into clear, engaging content for researchers and industry professionals. 

SelectScience
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