Gas chromatography–mass spectrometry (GC–MS) and ion chromatography profile wasabi and mustard heat and acidity.
|Articles|October 7, 2011
- The Column-10-07-2011
- Volume 7
- Issue 18
Accelerating Proteomic Biomarker Validation
The optimum in proteomics research today is in validating the performance of promising biomarkers across large biological sample sets. Many new strategies have been developed in recent years to improve and accelerate targeted MS verification assays.
Advertisement
The optimum in proteomics research today is in validating the performance of promising biomarkers across large biological sample sets. Many new strategies have been developed in recent years to improve and accelerate targeted MS verification assays. One of the more promising strategies involves combining column-switching techniques for multiplexed nano‑LC with MS instrumentation and software that performs time-scheduled multiple reaction monitoring (MRM). In this article we will demonstrate an effective workflow that incorporates advanced LC and MS techniques to significantly improve throughput and accelerate biomarker verification.
Articles in this issue
about 15 years ago
Healthy spaghettiabout 15 years ago
Separations in the Food Industryabout 15 years ago
Water contamination collaborationabout 15 years ago
Tackling myeloma drug resistanceabout 15 years ago
$1.2 million NASA grant for chromatographerAdvertisement
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
LC–MS/MS Dried Blood Spot Test for Galactosemia
5