Agilent Collaborates with Weill Cornell Medical College on ALS Research
September 21st 2015Agilent Technologies Inc. (Santa Clara, California) has agreed to support research by Steven Gross, a faculty member in the Department of Pharmacology at Weill Cornell Medical College (New York, New York), into amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease.
Purnendu “Sandy” Dasgupta Awarded $1 Million NASA Grant
September 21st 2015Purnendu “Sandy” Dasgupta, Hamish Small Chair in Ion Analysis of Chemistry and Biochemistry in the UT Arlington College of Science, has been awarded almost $1 million from NASA. The grant will support research into extension of the open-tubular capillary chromatography platform that Dasgupta developed for the detection and separation of ions.
Mary J. Wirth on Slip Flow, Part 1 — How It Works
September 14th 2015In this video from LCGC TV, Mary J. Wirth of Purdue University explains the phenomenon of slip flow: what it is, how it can improve separations - particularly of proteins and monoclonal antibodies - and where it may take us in the future.
Agilent Technologies to Acquire Seahorse Bioscience
September 10th 2015Agilent Technologies Inc. (Santa Clara, California) and Seahorse Bioscience (Billerica, Massachusetts) have signed a definitive agreement under which Agilent will acquire Seahorse Bioscience, a provider of instruments and assay kits for measuring cell metabolism and bioenergetics.
The LCGC Blog: An Open Inquiry Model for Science Education
September 9th 2015There is a shortcoming in our current educational system. There is too much rote learning, and not enough time given to let science-minded students explore a topic. Overall, when students ask their own questions (not ones given to them by instructors), they become more invested in finding the answers.
High-Throughput Screening of Heparin Using LC–MS
September 8th 2015Researchers have published a new approach to heparin screening that allows the detection of adulteration within one hour. Published in the journal Analytical Chemistry, the study presents a screening strategy using hydrogen peroxide digestion followed by fast reversed-phase ion pairing liquid chromatography (reversed-phase IP–LC) coupled with tandem mass spectrometry (MS–MS) to detect contamination of heparin samples.
IC–ICP–MS for Monitoring the Fate of Iodinated X-ray Contrast Media after Ozonation
This article shows the potential of IC–ICP–MS for monitoring iodine-containing ionic oxidation by-products that form during ozonation of iodinated X-ray contrast media.
Ion-Mobility Mass Spectrometry in Metabolomics and Lipidomics
September 1st 2015Ion-mobility spectrometry (IMS) is an anlytical technique that provides for the separation of ions in the gas phase. The separation, occuring on a timescale of milliseconds, is based on the differing mobility of ions according to their charge, shape, and size. These characteristics make IMS suitable for coupling with mass spectrometry (MS), to serve in current MS-based workflows for metabolomics and lipidomics. IM-MS improves peak capacity and signal-to-noise ratios, and it provides more confidence during compound identification or confirmation than conventional analyses. Combining collision-induced dissociation with ion-mobility separation improves the specificity of MS/MS-based approaches. Significantly, ion-mobility-derived information provides an orthogonal, physicochemical parameter-the collision cross section (CCS)-which relates to a metabolite's shape. Novel hardware and software solutions enable analysts to process and exploit IMS-MS data for qualitative and quantitative metabolomics and lipidomics applications.
Ion-Mobility Mass Spectrometry in Metabolomics and Lipidomics
September 1st 2015Ion-mobility spectrometry (IMS) is an analytical technique that provides for the separation of ions in the gas phase. The separation, occuring on a timescale of milliseconds, is based on the differing mobility of ions according to their charge, shape, and size. These characteristics make IMS suitable for coupling with mass spectrometry (MS), to serve in current MS-based workflows for metabolomics and lipidomics. IMS–MS improves peak capacity and signal-to-noise ratios, and it provides more confidence during compound identification or confirmation than conventional analyses.