Atsiliepimai
Aprašymas
Advanced spectroscopic and mass spectrometric methods for microbial diagnostics and resistance
Culture-independent analytical techniques are transforming pathogen identification and resistance detection. Spectroscopy and Mass Spectrometry in Microbiology: Identification, Subtyping and Antimicrobial Resistance Detection covers MALDI-TOF MS, Liquid Atmospheric Pressure MALDI-MS, tandem MS, FT-IR, HDX-MS, and Raman Spectroscopy for microbial characterization. Assembled by a team of specialists in microbiology and analytical chemistry, this reference consolidates these methods as viable alternatives to genomics-based workflows.
The first section examines pathogen analysis via MALDI-TOF MS and tandem MS, with case studies from Africa, Latin America, Turkey, and India demonstrating deployment in resource-limited settings. Subsequent chapters address FT-IR and Raman Spectroscopy for resistance profiling and single-cell analysis. AI-driven bacterial classification and antibiotic resistance identification receive dedicated treatment throughout the volume.
Readers will also find:
Designed for academic researchers in microbiology, mass spectrometry, and analytical chemistry, this reference also serves clinical and environmental scientists, MS technologists, and diagnostic laboratory professionals seeking to implement or advance spectroscopic and mass spectrometric approaches for pathogen identification and resistance surveillance.
Advanced spectroscopic and mass spectrometric methods for microbial diagnostics and resistance
Culture-independent analytical techniques are transforming pathogen identification and resistance detection. Spectroscopy and Mass Spectrometry in Microbiology: Identification, Subtyping and Antimicrobial Resistance Detection covers MALDI-TOF MS, Liquid Atmospheric Pressure MALDI-MS, tandem MS, FT-IR, HDX-MS, and Raman Spectroscopy for microbial characterization. Assembled by a team of specialists in microbiology and analytical chemistry, this reference consolidates these methods as viable alternatives to genomics-based workflows.
The first section examines pathogen analysis via MALDI-TOF MS and tandem MS, with case studies from Africa, Latin America, Turkey, and India demonstrating deployment in resource-limited settings. Subsequent chapters address FT-IR and Raman Spectroscopy for resistance profiling and single-cell analysis. AI-driven bacterial classification and antibiotic resistance identification receive dedicated treatment throughout the volume.
Readers will also find:
Designed for academic researchers in microbiology, mass spectrometry, and analytical chemistry, this reference also serves clinical and environmental scientists, MS technologists, and diagnostic laboratory professionals seeking to implement or advance spectroscopic and mass spectrometric approaches for pathogen identification and resistance surveillance.
Atsiliepimai