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Quantitation of clinical research steroid analytes from serum utilizing solid phase extraction with LC-MS/MS
15 Jun 2023In this application note, Phenomenex presents an effective sample cleanup method for steroid analysis in clinical research. The method utilizes a Polymeric Reversed Phase Strata™-X 96-well plate for targeting 19 steroid analytes. Fast chromatographic separation is achieved using a Kinetex® core-shell 2.6 µm C18, 50 x 3.0 mm column.
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LC-MSLC-MS (liquid chromatography-mass spectrometry) systems and equipment are used for separation and quantitative analysis of complex mixtures, combining liquid chromatography and mass spectrometry. Quantify proteins, contaminants, pesticides or screen for drug metabolites with a high level of sensitivity. LC-MS systems and equipment include reverse phase, normal phase and specialized columns integrated with various MS detectors such as time-of-flight (TOF), quadrupole, orbitrap or ion trap mass analyzers. LC-MS/MS instruments equipped with a qTOF or triple quadrupole analyzer give greater sensitivity and resolving power to your analysis. Find the best LC-MS equipment in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Solid Phase Extraction (SPE)Solid phase extraction (SPE) is a sample preparation technique used to separate and concentrate analytes from complex mixtures. It is widely used in environmental, pharmaceutical, and clinical analysis. SPE provides higher sensitivity and selectivity compared to traditional liquid-liquid extraction methods, making it essential for accurate and reproducible results. Explore SPE tools and systems in our peer-reviewed product directory; compare products, check reviews, and get pricing directly from manufacturers.Clinical StudyProspective biomedical or behavioral research studies on human subjects, following tests in animals, that are designed to answer specific questions about novel vaccines, drugs, treatments, dietary supplements, devices or new ways of using known interventions, generating safety and efficacy data.