Application Notes: General

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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.

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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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The Column

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.

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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.

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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.

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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.

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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.

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

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

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

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