Microorganism Identification and Molecular Profiling Using MALDI-TOF-MS - iDplus
Brochures and specifications | 2014 | ShimadzuInstrumentation
MALDI-TOF mass spectrometry has emerged as a cornerstone in modern analytical microbiology, enabling rapid, accurate identification and molecular profiling of microorganisms. Its ability to generate high-resolution protein and lipid fingerprints within minutes makes it indispensable for clinical diagnostics, food safety, environmental monitoring and research applications.
This article introduces the iD plus™ platform, detailing its core components—the SARAMIS database and SuperSpectra™, the range of MALDI-TOF instruments, and dedicated software tools. It reviews workflows for routine microbial identification, hierarchical clustering and advanced molecular profiling, and illustrates practical applications such as food adulteration detection and antibiotic resistance marker discovery.
Key elements of the iD plus platform:
Routine identification of bacteria, yeasts, fungi and algae is achieved within 1–2 minutes with >95% confidence. Hierarchical clustering visualizes strain evolution and population shifts. In molecular profiling experiments, custom SuperSpectra successfully distinguish cow, buffalo and adulterated mozzarella. In proteomics applications, LC-MALDI and MS/MS sequencing identify biomarkers linked to extended-spectrum β-lactamases in E. coli.
Advances may include deeper integration of LC-MALDI workflows, expansion of spectral libraries to cover emerging pathogens and environmental species, and application of machine learning for automated spectrum interpretation. Growth in MS/MS capabilities will drive novel biomarker discovery and structural characterization in metabolomics and proteomics.
The iD plus MALDI-TOF platform combines rapid microbial identification, customizable molecular profiling and advanced structural analysis within a single open system. Its flexibility and performance meet the needs of diagnostic, research and industrial laboratories, and ongoing developments promise broader applications and enhanced data analytics.
1. Pfuller R et al. J Clin Microbiol. 2011;49(12):4195–4202.
2. Rezzonico F et al. Appl Environ Microbiol. 2010;76(13):4497–4509.
3. Benagli C et al. PLoS ONE. 2012;7(10):e48441.
4. Le Coustumier A et al. Emerg Infect Dis. 2011;17(4):612–618.
5. Kaufmann C et al. Parasitology. 2012;139(2):248–258.
6. Veloo AC et al. Syst Appl Microbiol. 2011;34(1):58–62.
7. Ziegler D et al. PLoS ONE. 2012;7(5):e37189.
8. Bugovsky S et al. Mol Cell Probes. 2013;27(6):234–241.
9. Riccardi N et al. J Plankton Res. 2012;34(6):484–492.
10. Volta P et al. J Limnol. 2012;71(1):164–169.
MALDI, LC/TOF, LC/MS
IndustriesManufacturerShimadzu
Summary
Significance of the Topic
MALDI-TOF mass spectrometry has emerged as a cornerstone in modern analytical microbiology, enabling rapid, accurate identification and molecular profiling of microorganisms. Its ability to generate high-resolution protein and lipid fingerprints within minutes makes it indispensable for clinical diagnostics, food safety, environmental monitoring and research applications.
Objectives and Overview of the Article
This article introduces the iD plus™ platform, detailing its core components—the SARAMIS database and SuperSpectra™, the range of MALDI-TOF instruments, and dedicated software tools. It reviews workflows for routine microbial identification, hierarchical clustering and advanced molecular profiling, and illustrates practical applications such as food adulteration detection and antibiotic resistance marker discovery.
Used Instrumentation and Methodology
Key elements of the iD plus platform:
- Sample Preparation: Direct transfer of cultured cells onto disposable polymeric targets, followed by matrix application and air-drying.
- MALDI-TOF Systems:
– iD plus Assurance: Linear mode for routine ID with positive/negative ionization across a broad mass range.
– iD plus Confidence: Reflectron mode for high-resolution profiling and fragment analysis.
– iD plus Performance: TOF-TOF configuration for MS/MS structural elucidation. - SARAMIS Software: Automated profile extraction, database searching against SuperSpectra and reference spectra, hierarchical clustering of sample sets.
- Target Manager: Associates sample metadata and acquisition parameters to streamline data capture and processing.
Main Results and Discussion
Routine identification of bacteria, yeasts, fungi and algae is achieved within 1–2 minutes with >95% confidence. Hierarchical clustering visualizes strain evolution and population shifts. In molecular profiling experiments, custom SuperSpectra successfully distinguish cow, buffalo and adulterated mozzarella. In proteomics applications, LC-MALDI and MS/MS sequencing identify biomarkers linked to extended-spectrum β-lactamases in E. coli.
Benefits and Practical Applications
- Speed and Throughput: Minimal hands-on time, rapid turnaround.
- Accuracy and Reproducibility: Robust SuperSpectra derived from multiple isolates and growth conditions.
- Flexibility: Open database architecture allows user-defined entries and sub-databases.
- Versatility: Supports intact large-molecule analysis, cluster mapping, lipidomics and glycomics.
Future Trends and Prospects
Advances may include deeper integration of LC-MALDI workflows, expansion of spectral libraries to cover emerging pathogens and environmental species, and application of machine learning for automated spectrum interpretation. Growth in MS/MS capabilities will drive novel biomarker discovery and structural characterization in metabolomics and proteomics.
Conclusion
The iD plus MALDI-TOF platform combines rapid microbial identification, customizable molecular profiling and advanced structural analysis within a single open system. Its flexibility and performance meet the needs of diagnostic, research and industrial laboratories, and ongoing developments promise broader applications and enhanced data analytics.
Reference
1. Pfuller R et al. J Clin Microbiol. 2011;49(12):4195–4202.
2. Rezzonico F et al. Appl Environ Microbiol. 2010;76(13):4497–4509.
3. Benagli C et al. PLoS ONE. 2012;7(10):e48441.
4. Le Coustumier A et al. Emerg Infect Dis. 2011;17(4):612–618.
5. Kaufmann C et al. Parasitology. 2012;139(2):248–258.
6. Veloo AC et al. Syst Appl Microbiol. 2011;34(1):58–62.
7. Ziegler D et al. PLoS ONE. 2012;7(5):e37189.
8. Bugovsky S et al. Mol Cell Probes. 2013;27(6):234–241.
9. Riccardi N et al. J Plankton Res. 2012;34(6):484–492.
10. Volta P et al. J Limnol. 2012;71(1):164–169.
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