Stop Guessing and Start Analyzing: An End to End Strategy for High Sensitivity, High Speed HPLC Analysis of Small Molecules

Join this webinar to learn more about accelerating small‑molecule HPLC with a workflow driven approach for quick decisions, reduced rework, and more consistent high‑quality analytical outcomes.

Register Free: https://www.chromatographyonline.com/lcgc_w/end-to-end

Event Overview:

A workflow‑centric approach to small‑molecule HPLC method development helps eliminate the trial-and-error that often slows projects and compromises sensitivity. By systematically optimizing solvent choice and column chemistry up front, analysts can improve peak shape and overall detection limits without relying on instrument‑side fixes. Equally important, the talk highlights how thoughtful sample‑preparation strategies act as powerful sensitivity multipliers, directly influencing reproducibility and signal strength. Join this webinar to learn more about integrating these elements into a unified workflow for quick decisions, reduced rework, and more consistent high‑quality analytical outcomes.

Key Learning Objectives:

• See how solvents and columns affect sensitivity, peaks, and HPLC results.
• Learn how sample prep drives sensitivity and reproducibility in HPLC.
• Use a workflow‑based HPLC method approach to cut rework and boost consistency.

Who Should Attend:

• Analytical chemists developing or optimizing HPLC methods
• Scientists and researchers working in pharmaceutical, biopharma, or chemical analysis
• Application scientists and technical support staff involved in HPLC troubleshooting

Speaker:

Atis Chakrabarti, Ph.D.
Senior Application Scientist
Avantor

Atis Chakrabarti, Ph.D., has 15-plus years of experience in analytical and process chromatography. He has led application teams and CDMO programs, delivering customized purification solutions. Known for feasibility work, process development, and end‑to‑end execution, he is a trusted technical partner.

Register Free: https://www.chromatographyonline.com/lcgc_w/end-to-end