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Your GC-MS Future: A Special Virtual Event Optimizing LCs During a Pandemic Using Sample Preparation to Achieve Less Background Interference Good Water Practices For LC-MS and ICP-MS Origins of Mobile-Phase Composition Waves and Their Effects on Detector Baselines Flying High with Sensitivity and Selectivity

Your GC-MS Future: A Special Virtual EventOptimizing LCs During a PandemicUsing Sample Preparation to Achieve Less Background InterferenceGood Water Practices For LC-MS and ICP-MSOrigins of Mobile-Phase Composition Waves and Their Effects on Detector BaselinesFlying High with Sensitivity and Selectivity

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

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Spotlight

Your GC-MS Future: A Special Virtual Event
Optimizing LCs During a Pandemic
Using Sample Preparation to Achieve Less Background Interference
Good Water Practices For LC-MS and ICP-MS
Origins of Mobile-Phase Composition Waves and Their Effects on Detector Baselines
Flying High with Sensitivity and Selectivity

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

About
Advertise
Contact Us
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Ethics Policy
Do Not Sell My Personal Information
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Caroline West | Authors

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Articles

LCGC North America

Statistics for Analysts Who Hate Statistics, Part VIII: Decision Trees

Decision trees offer great visuals to observe complex data sets and to classify data according to simple decision rules.

LCGC North America

Statistics for Analysts Who Hate Statistics, Part VII: Sum of Ranking Differences (SRD)

The sum of ranking differences (SRD) is a useful statistical tool for comparing methods, models, columns, or samples. It is also simple and straightforward.