Ronald E. Majors, LCGC North America columnist and Senior Chemist for the Columns and Supplies Division of Agilent Technologies, Inc., has been awarded the 2007 Martin Gold Medal by the Chromatographic Society in the United Kingdom for outstanding contributions to the chromatography field.
Ronald E. Majors, LCGC North America columnist and Senior Chemist for the Columns and Supplies Division of Agilent Technologies, Inc. (Wilmington, Delaware), has been awarded the 2007 Martin Gold Medal by the Chromatographic Society in the United Kingdom for outstanding contributions to the chromatography field. Majors is best known for his monthly "Column Watch" and "Sample Preparation Perspectives" columns for LCGC North America. These articles focus on chromatography, sample preparation, and surface chemistry and can be found on LCGC's website. He was an early researcher in high performance liquid chromatography (HPLC) and is an active member in the American Chemical Society's Sub-Division on Chromatography and Separations Chemistry, the Delaware Valley Chromatography Forum, and the California Separations Society.
The Chromatographic Society is an international organization devoted to the promotion and dissemination of knowledge on chromatography and related separation techniques.
The Martin Medal is the society's top award and bears the name of the Nobel Prize winner for chromatography, Archer Martin. It is awarded to individuals whose professional and scientific accomplishments have fostered progress in chromatography.
LCGC’s Year in Review: Highlights in Liquid Chromatography
December 20th 2024This collection of technical articles, interviews, and news pieces delves into the latest innovations in LC methods, including advance in high performance liquid chromatography (HPLC), ultrahigh-pressure liquid chromatography (UHPLC), liquid chromatography–mass spectrometry (LC–MS), and multidimensional LC.
Next Generation Peak Fitting for Separations
December 11th 2024Separation scientists frequently encounter critical pairs that are difficult to separate in a complex mixture. To save time and expensive solvents, an effective alternative to conventional screening protocols or mathematical peak width reduction is called iterative curve fitting.