Gas chromatography–mass spectrometry (GC–MS) and ion chromatography profile wasabi and mustard heat and acidity.
|Articles|July 15, 2010
Phenomenex Wins R&D 100 Award for Fifth Consecutive Year
Phenomenex, Inc. (Torrance, California), a global leader in the research and manufacture of advanced technologies for the separation sciences, has received a 2010 R&D 100 award for its Kinetex core-shell HPLC column technology.
Advertisement
Phenomenex, Inc. (Torrance, California), a global leader in the research and manufacture of advanced technologies for the separation sciences, has received a 2010 R&D 100 award for its Kinetex core-shell HPLC column technology. The awards, determined by an independent judging panel and the editors of R&D Magazine, recognize the 100 most technologically significant products introduced during the past year.
2010 marks the fifth consecutive year in which Phenomenex has been recognized with the award. “This reflects the depth of our product development pipeline and the fast pace at which we are able to bring new technologies to market,” said president and CEO Fasha Mahjoor.
“The R&D 100 Awards have always represented some of the most innovative concepts to reach the marketplace in the past year. 2010 is no exception, and we had a particularly strong field of entries for the judges to evaluate,” said Rita Peters, editorial director of R&D Magazine.
R&D 100 award winners will be recognized at the annual banquet on November 11, 2010 in Orlando, Florida.
Advertisement
Related to this article
How feasible is it to integrate this Bayesian graph-theory methodology into existing commercial chromatography software workflows for semi-automated data curation in routine analytical laboratories?
Reversed-phase high-performance liquid chromatography (RP-HPLC) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) show frequent milking alters cobra venom toxin makeup.
Gabriel Vivó-Truyols outlines the benefits and challenges of combining graph theory with Bayesian statistics to automate peak assignment and alignment.
This week, Chromatography Online’s coverage spanned lipidomics-based early cancer detection, career paths in separation science, machine learning and uncertainty-driven approaches to LC method development, new EU wastewater rules for pharmaceutical micropollutants, automated Separation Quality Factor (SQF) evaluation in chromatography data systems, and solutions to GLP-1 peptide analysis challenges.
Gabriel Vivó-Truyols from the Spanish Council for Scientific Research, Madrid, Spain. discusses his work on using graph theory and Bayesian statistics for peak assignment and chromatographic alignment.
Gas chromatography (GC) analysis ties prenatal mindfulness to shifts in placental fatty acids.
Gas chromatography–mass spectrometry (GC–MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC–qTOF–MS) reveal metabolic shifts in tricuspid regurgitation.
Advertisement
Advertisement
Trending on LCGC International
1
GLP-1 Peptide Analysis: Challenges and Solutions
2
HPLC–DAD Method Tracks Semaglutide and Tirzepatide Stability
3
Industry Roundup: Waters Posts Strong Third Quarter as LC–MS and Chromatography Consumables Drive Growth, Acquires Ion Mobility Pioneer MOBILion
4
GC–MS Probes Acidity and Heat in Wasabi, Mustard
5