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High-Throughput Analysis of Volatile Impurities in Sustainable Packaging using SIFT-MS Automated Sample Prep in Regulated and Nonregulated Labs Just Got Easier Trends in Modern LC Separation Workflows Strongly Adsorbing Analytes: What, Why, and How to Fix It What Are Employers Looking For When Hiring Separation Scientists?

High-Throughput Analysis of Volatile Impurities in Sustainable Packaging using SIFT-MSAutomated Sample Prep in Regulated and Nonregulated Labs Just Got EasierTrends in Modern LC Separation WorkflowsStrongly Adsorbing Analytes: What, Why, and How to Fix ItWhat Are Employers Looking For When Hiring Separation Scientists?

Topics

View More Liquid Chromatography (LC/HPLC)Gas Chromatography (GC)Sample Preparation Mass Spectrometry Pharmaceutical Analysis Environmental Analysis Food and Beverage Analysis

Liquid Chromatography (LC/HPLC)Gas Chromatography (GC)Sample PreparationMass SpectrometryPharmaceutical AnalysisEnvironmental AnalysisFood and Beverage Analysis

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All PublicationsLCGC North AmericaLCGC EuropeLCGC Asia PacificLCGC SupplementsThe ColumnE-BooksThe Application Notebook

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All App Notes Biological, Medical, and Clinical Biopharmaceuticals Cannabis Chiral Environmental Food and Beverage GC GC-MS General Industrial LC LC-MS Medical/Biological Misc Techniques Pharmaceuticals Polymers Sample Prep Size-Exclusion Chromatography (SEC)Supercritical Fluid Chromatography (SFC)

All App NotesBiological, Medical, and ClinicalBiopharmaceuticalsCannabisChiralEnvironmentalFood and BeverageGCGC-MSGeneralIndustrialLCLC-MSMedical/BiologicalMisc TechniquesPharmaceuticalsPolymersSample PrepSize-Exclusion Chromatography (SEC)Supercritical Fluid Chromatography (SFC)

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ProductsE-BooksChromTubeEventsAnalytically Speaking PodcastPodcastsPodcast SeriesSponsored VideosQ&AsSponsored ContentContent Engagement HubsTips & TricksIndustry InsightsCareer Opportunities

Tracey Cummings | Authors

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Special Issues

Rapid Classification of Beef Aroma Quality Using SIFT-MS

Application of multivariate statistical analysis to a combined data set demonstrated that SIFT-MS discriminates premium quality beef from eight sensory defects, and, therefore, could be applied as an instrumental grading tool, obviating sensory panel grading.