Application Notes: General

This application note presents a novel study of coffee aroma profiling by analyzing volatile organic compounds (VOCs) emitted at a series of progressively higher temperatures.

With Antec Scientific’s new ground-breaking µ-PrepCell-SS, electrochemical reduction of disulfide bonds in peptides, proteins, mAbs, and other biopharmaceuticals becomes possible routinely in LC-MS workflows. • Fast and efficient reduction of S-S bonds • Robust on-line reduction in top-down and bottom-up Proteomics • Reagent free, no interfering DTT or TCEP, ideal for HDXMS • Superior peptide sequencing and S-S bond assignment

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• Why hybrid systems are the wrong approach • The why, what, and how of CDS audit trail review • Understanding the Lifecycle Approach for Analytical Procedures

- Conventional light scattering comes with various limitations - New light scattering technology benefits protein/polymer characterization

In this study we demonstrate the benefits of the Thermo Scientific™ Orbitrap Exploris™ 240 LC–MS/MS for intact biopharmaceutical analysis under native conditions.

In this application note we evaluate the benefits of Real-Time Search for SPS MS3 (Orbitrap Eclipse MS) to enhance TMT quantification accuracy and proteome coverage.

The Column spoke to Carlos Calderón about his research project, investigating pharmacolipidomics analysis of betulin in human primary keratinocytes to monitor alterations in the lipid profiles induced by treatment with betulin.

Incognito offers some tips for chromatographers during the current crisis

Microfluidic lab-on-a-chip devices offer new solutions for analytical scientists. The Column spoke to Dietlev Belder from the University of Leipzig, Germany, about the latest developments in this evolving area of research.

In this study, we demonstrate routine characterization of biotherapeutics through LC–MS peptide mapping using the Thermo Scientific™ Orbitrap Exploris™ 240 LC–MS/MS.

Accelerating fundamental research using the Orbitrap Exploris 480 mass spectrometer

PharmaFluidics’ μPAC capLC is evaluated for different user needs ranging from 12 samples per day in comprehensive mode to 65 samples per day in throughput mode.

PharmaFluidics introduces a new μPAC capLC column that offers unprecedented performance and that given its low backpressure can be used with flow rates of up to 15μL/min.

PharmaFluidics’ μPAC capLC is evaluated for different user needs ranging from 12 samples per day in comprehensive mode to 65 samples per day in throughput mode.

Overall gain in performance and increase in detection sensitivity that can be achieved for the separation of plant metabolite extracts by using µ¬PAC columns.

PharmaFluidics also offers a 50 cm long μPAC column which is perfectly suited to perform more throughput analyses with shorter gradient solvent times.

Analyzing skin ceramides using PharmaFluidics’ µPAC column technology reveals a substantial structural diversity and isomeric resolved sphingolipids.

Monitoring the excellent separation performance of PharmaFluidics’ µPAC columns by using peptide retention time calibration mixtures for bottom-up proteomics.

PharmaFluidics’ μPAC columns have the potential to be less prone to sample related column failure and to withstand more sample injections without losing performance.

Click the title above to open the LCGC Europe June 2020 regular issue, Volume 33, Number 6, in an interactive PDF format.

Dow scientists improved their method-development workflow by upgrading their hardware and using specialized software.

Reveal More in your Food. Using QSight LC–MS/MS to get a fast, selective, and sensitive multi-residue method for the determination of 136 pesticides in Pepper.

In this study we demonstrate the benefits of the Thermo Scientific™ Orbitrap Exploris™ 240 LC-MS/MS for intact biopharmaceutical analysis under native conditions.

In this study, we demonstrate routine characterization of biotherapeutics through LC–MS peptide mapping using the Thermo Scientific™ Orbitrap Exploris™ 240 LC–MS/MS.

Retention-time prediction (RT) could hasten the identification of unknowns. See how scientists use prediction software to estimate the RT of environmental contaminants.