Spectroscopy and Mass Spectrometry in Microbiology, Gebunden
Spectroscopy and Mass Spectrometry in Microbiology
- Identification, Subtyping and Antimicrobial Resistance Detection
Sie können den Titel schon jetzt bestellen. Versand an Sie erfolgt gleich nach Verfügbarkeit.
- Herausgeber:
- Emmanuel Raptakis, Haroun N. Shah, Hermine V. Mkrtchyan, Omar Belgacem, Saheer Gharbia
- Verlag:
- John Wiley & Sons Inc, 11/2026
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9781394358137
- Artikelnummer:
- 12716161
- Umfang:
- 448 Seiten
- Erscheinungstermin:
- 26.11.2026
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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:
- Methods positioning spectroscopy and mass spectrometry as alternatives to genomics for detailed microbial subtyping and resistance surveillance
- New approaches to studying resistance mechanisms and designing drugs using affordable, rapid tools suitable for resource-limited laboratory settings
- AI and machine learning integration with Raman Spectroscopy for profiling antibiotic resistance patterns in clinical microbial isolates
- Single-cell analysis techniques enabling individual microbial cell characterization without requiring bulk culture or extensive sample preparation steps
- Frameworks for implementing culture-independent diagnostics in regions where rapid pathogen identification is most urgently needed for public health
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.