Sample Preparation in LC-MS Bioanalysis (eBook)

Yunlin Fu, Wenying Jian, Wenkui Li (Herausgeber)

eBook Download: PDF

2019 | 1. Auflage
384 Seiten
Wiley (Verlag)
978-1-119-27430-8 (ISBN)

Infos

Revised and Expanded Handbook Provides Comprehensive Introduction and Complete Instruction for Sample Preparation in Vital Category of Bioanalysis Following in the footsteps of the previously published Handbook of LC-MS Bioanalysis, this book is a thorough and timely guide to all important sample preparation techniques used for quantitative Liquid Chromatography Mass Spectrometry (LC-MS) bioanalysis of small and large molecules. LC-MS bioanalysis is a key element of pharmaceutical research and development, post-approval therapeutic drug monitoring, and many other studies used in human healthcare. While advances are continually being made in key aspects of LC-MS bioanalysis such as sensitivity and throughput, the value of research/study mentioned above is still heavily dependent on the availability of high-quality data, for which sample preparation plays the critical role. Thus, this text provides researchers in industry, academia, and regulatory agencies with detailed sample preparation techniques and step-by-step protocols on proper extraction of various analyte(s) of interest from biological samples for LC-MS quantification, in accordance with current health authority regulations and industry best practices. The three sections of the book with a total of 26 chapters cover topics that include: Current basic sample preparation techniques (e.g., protein precipitation, liquid-liquid extraction, solid-phase extraction, salting-out assisted liquid-liquid extraction, ultracentrifugation and ultrafiltration, microsampling, sample extraction via electromembranes) Sample preparation techniques for uncommon biological matrices (e.g., tissues, hair, skin, nails, bones, mononuclear cells, cerebrospinal fluid, aqueous humor) Crucial aspects of LC-MS bioanalytical method development (e.g., pre-analytical considerations, derivation strategies, stability, non-specific binding) in addition to sample preparation techniques for challenging molecules (e.g., lipids, peptides, proteins, oligonucleotides, antibody-drug conjugates) Sample Preparation in LC-MS Bioanalysis will prove a practical and highly valuable addition to the reference shelves of scientists and related professionals in a variety of fields, including pharmaceutical and biomedical research, mass spectrometry, and analytical chemistry, as well as practitioners in clinical pharmacology, toxicology, and therapeutic drug monitoring.

Autor

WENKUI LI is a Senior Fellow at the Novartis Institutes for BioMedical Research Pharmacokinetic Sciences. He serves on the Editorial Board of Biomedical Chromatography. WENYING JIAN is a Senior Principal Scientist in Janssen Research and Development at the Johnson & Johnson Company. She serves on the Editorial Board of Journal of Pharmacological and Toxicological Methods. YUNLIN FU is an Investigator at the Novartis Institutes for BioMedical Research Pharmacokinetic Sciences.

Rezensionen

"A welcome reference which provides a complete overview of current and new approaches in sample preparation for LC-MS...To have an exhaustive compilation of strategies with "practical tips and tricks" can only be inspiring for the readers helping him to make the best choice for his specific challenge." Gérard Hopfgartner, Analytical and Bioanalytical Chemistry, January 2020

Produkt-Details

• Erscheint lt. Verlag: 25.2.2019
• Reihe/Serie: Wiley Series on Pharmaceutical Science
• Reihe/Serie: Wiley Series on Pharmaceutical Science
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Naturwissenschaften ► Chemie ► Analytische Chemie
• Schlagworte: Analytical Chemistry • Analytische Chemie • Biotechnologie i. d. Biowissenschaften • Biotechnology • Biowissenschaften • Chemie • Chemistry • Drug Discovery & Development • Life Sciences • Wirkstoffforschung u. -entwicklung
• ISBN-10: 1-119-27430-3 / 1119274303
• ISBN-13: 978-1-119-27430-8 / 9781119274308