Taking MALDI-TOF MS Beyond the Standard AXIMA Confidence
Brochures and specifications | 2025 | ShimadzuInstrumentation
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plays a pivotal role in modern analytical chemistry by offering rapid, sensitive, and high-throughput analysis of biomolecules, polymers, and clinical samples. Advances in ion optics, laser technology, and data processing have expanded its application scope across proteomics, polymer characterization, oligonucleotide quality control, and biomarker discovery.
This white paper introduces the AXIMA Confidence MALDI-TOF MS system, emphasizing its design innovations, operational flexibility, and integrated software suite. The aim is to demonstrate how enhanced laser control, advanced reflectron design, and seamless data workflows elevate performance beyond standard MALDI-TOF instruments.
The AXIMA Confidence employs a variable repetition rate 50 Hz N₂ laser with near-normal (on-axis) irradiation to maximize sensitivity. Pulsed ion extraction and a patented curved field reflectron (CFR) deliver high resolution and mass accuracy. Positive and negative ion modes, along with a beam blanker to exclude low-mass noise, ensure clean spectra without detector saturation.
High-resolution analysis of ACTH fragment 7–38 achieved >15 000 FWHM, illustrating the system’s resolving power in reflectron mode. In linear mode, bovine serum albumin (BSA) was readily detected at molecular weights above 50 kDa. Data-dependent workflows enabled automated peptide mass fingerprinting (PMF) and subsequent MS/MS confirmation, streamlining protein identification. Polymer Analysis™ software delivered polymer mass distributions and copolymer statistics, while Oligo Analysis™ provided automated QC reports for oligonucleotides, assessing purity, adducts, and sequence integrity.
Integration with emerging ion mobility separations, higher repetition rate lasers, and expanded MS/MS fragmentation strategies are anticipated to further enhance performance. Cloud-based data processing, machine learning–driven spectral interpretation, and real-time remote diagnostics will drive greater automation and decision support in both research and regulated environments.
The AXIMA Confidence system extends conventional MALDI-TOF MS capabilities by combining sophisticated hardware innovations with intuitive, application-centric software. Its adaptability across multiple disciplines and high-throughput compatibility make it a powerful tool for advanced analytical laboratories.
LC/MS, LC/TOF, MALDI
IndustriesManufacturerShimadzu
Summary
Significance of the Topic
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plays a pivotal role in modern analytical chemistry by offering rapid, sensitive, and high-throughput analysis of biomolecules, polymers, and clinical samples. Advances in ion optics, laser technology, and data processing have expanded its application scope across proteomics, polymer characterization, oligonucleotide quality control, and biomarker discovery.
Objectives and Study Overview
This white paper introduces the AXIMA Confidence MALDI-TOF MS system, emphasizing its design innovations, operational flexibility, and integrated software suite. The aim is to demonstrate how enhanced laser control, advanced reflectron design, and seamless data workflows elevate performance beyond standard MALDI-TOF instruments.
Methodology and Instrumentation
The AXIMA Confidence employs a variable repetition rate 50 Hz N₂ laser with near-normal (on-axis) irradiation to maximize sensitivity. Pulsed ion extraction and a patented curved field reflectron (CFR) deliver high resolution and mass accuracy. Positive and negative ion modes, along with a beam blanker to exclude low-mass noise, ensure clean spectra without detector saturation.
Used Instrumentation
- AXIMA Confidence MALDI-TOF MS platform
- Variable repetition rate nitrogen laser (50 Hz)
- Patented curved field reflectron for reflectron mode
- On-axis laser irradiation and advanced ion optics
- Precursor ion selector for data-dependent MS/MS
- Standard targets: 96/384-well microtitre plates, FlexiMass™ microscope slides
Main Results and Discussion
High-resolution analysis of ACTH fragment 7–38 achieved >15 000 FWHM, illustrating the system’s resolving power in reflectron mode. In linear mode, bovine serum albumin (BSA) was readily detected at molecular weights above 50 kDa. Data-dependent workflows enabled automated peptide mass fingerprinting (PMF) and subsequent MS/MS confirmation, streamlining protein identification. Polymer Analysis™ software delivered polymer mass distributions and copolymer statistics, while Oligo Analysis™ provided automated QC reports for oligonucleotides, assessing purity, adducts, and sequence integrity.
Benefits and Practical Applications of the Method
- Enhanced sensitivity and low-mass noise suppression for trace analyte detection
- High resolution and mass accuracy suitable for proteomics and complex mixture analysis
- Automated, data-dependent acquisition and processing reduce user intervention
- Versatile target formats support high-throughput screening and robotic integration
- Comprehensive software modules for proteomics, polymer science, oligonucleotide QC, and biomarker discovery
Future Trends and Application Possibilities
Integration with emerging ion mobility separations, higher repetition rate lasers, and expanded MS/MS fragmentation strategies are anticipated to further enhance performance. Cloud-based data processing, machine learning–driven spectral interpretation, and real-time remote diagnostics will drive greater automation and decision support in both research and regulated environments.
Conclusion
The AXIMA Confidence system extends conventional MALDI-TOF MS capabilities by combining sophisticated hardware innovations with intuitive, application-centric software. Its adaptability across multiple disciplines and high-throughput compatibility make it a powerful tool for advanced analytical laboratories.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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