Featured Application Note:
Analysis of Catechins Using Liquid Chromatography
Anila I Khan, Thermo Fisher Scientific
Performance comparison of a solid core Thermo Scientific™ Accucore™ XL C8 4 μm HPLC column with that of a fully porous 5 μm traditional HPLC column for the analysis of catechins under gradient mobile phase conditions. |
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Antibody Drug conjugate Analysis
Wyatt Technology
A novel method for Drug Antibody Ratio determinations based on SEC-MALS in conjunction with UV absorption and differential refractive index detection. |
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One-Step Extraction and Concentration for Identifying Pharmaceuticals and Personal Care Products in Water, Biosolids and Solids
Tom Hall, FMS, Inc.
The scope of human exposure to Pharmaceuticals and Personal Care Products (PPCPs) from the environment is complicated and increased monitoring is occurring to determine the effect on humans of long-term, low-level exposure to PPCPs. Due to their persistent nature and toxicity,monitoring water sources for PPCPs is a growing priority for both government agencies and consumers. The following procedure outlines the fully automated, sample-to-vial extraction and concentration of water matrices for the detection of these compounds in one rapid and efficient process. |
Extraction of 1,25-dihydroxyVitamin D from serum using ISOLUTE SLE+
Alan Edgington, Gavin Jones, Biotage AB, Sweden
This application note describes a simple and effective supported liquid extraction protocol for the extraction of 1,25 dihydroxyvitamin D2 and D3, from human serum, suitable for LC-MS/MS analysis. High analyte recoveries and low ion suppression were demonstrated, allowing limits of quantitation at low pg/mL levels without the need for derivatisation. |
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Drug Metabolite Detection and Identification
George McLeod, Sian Ives, and Thomas Amos Jacobsen, Bruker Daltonics
Characterization of the metabolites of drug candidates is a critical step in drug development. The observed activity and toxicity of a drug molecule may be severely impacted by metabolic modification. In this application brief, we demonstrate the use of software-based metabolite prediction coupled with high-performance Qq-TOF LC–MS and component-finding algorithms for the discovery and identification of metabolites of the well-known drug Verapamil. |
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