Description
Updated CAD reference covering theory, optimization, and emerging applications Charged aerosol detection offers analyte-independent response that overcomes limitations of UV detection, yet its fundamental performance characteristics remain incompletely understood. Now in its Second Edition, Charged Aerosol Detection for Liquid Chromatography and Related Separation Techniques consolidates current theoretical and practical knowledge of CAD into a single authoritative source, covering theory, experimental techniques, and end-user applications for liquid phase separations. New to this edition is coverage of RNA-lipid nanoparticle-based vaccines for SARS-CoV-2 and polysorbate analysis in biopharmaceuticals, reflecting CAD’s rapid adoption in pharmaceutical and biopharmaceutical laboratories. The book details proper use and optimization of the CAD detector, emphasizing fundamentals alongside real-world application across biochemical, environmental, food and beverage, and chemical industry contexts. Readers will also find: Detailed discussion of CAD response characteristics including chemical scope, dynamic range, reproducibility, and sensitivity compared to other universal detectors Guidance on integrating CAD with UHPLC, novel stationary phases, and multi-dimensional separation workflows for enhanced analytical performance Practical examples illustrating CAD optimization strategies tailored to specific analyte classes and separation conditions across diverse laboratory settings Coverage of aerosol technology fundamentals that underpin charged aerosol detection, drawn from experts in aerosol science and separation sciences Analysis of CAD advantages over optical detection methods for analytes lacking strong chromophores or consistent ultraviolet absorption properties This Second Edition serves scientists utilizing chromatographic techniques across academic, biopharmaceutical, biotechnology, biofuel, chemical, environmental, food and beverage, and pharmaceutical industries. It provides practicing chemists and researchers with the consolidated reference needed to implement and optimize CAD in their analytical workflows.