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Key Features:
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Single-Cell Proteomics (SCP): Engineered specifically for ultra-sensitive proteomic analysis down to the single-cell level.
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Ultra-Low Sample Input: Optimized ion optics, source design, and sensitivity enhancements enable trace detection from picogram to nanogram protein amounts.
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Trapped Ion Mobility Spectrometry (TIMS): Provides an additional separation dimension, enabling 4D proteomics (retention time, m/z, ion mobility, intensity).
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PASEF Technology: Parallel Accumulation–Serial Fragmentation delivers >100 Hz MS/MS acquisition speed with minimal sample loss.
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High Resolution: >60,000 FWHM and sub-ppm mass accuracy for accurate identification.
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Optimized for Nanoflow LC: Seamlessly integrates with nanoLC systems for single-cell and limited-sample workflows.
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Compact Footprint: Benchtop high-resolution QTOF with small lab space requirements.
Applications:
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Single-Cell Proteomics: High-throughput analysis of individual cells for systems biology and precision medicine.
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Trace Proteomics: Ultra-low abundance protein detection in scarce or precious samples.
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Biomarker Discovery: Early-stage disease marker identification from low-input clinical samples.
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Cancer Research: Proteomic heterogeneity profiling at single-cell resolution.
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Drug Development: Pharmacodynamic and pharmacokinetic studies with limited biological material.
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Neuroscience & Stem Cell Studies: Protein-level insights from rare or small populations of cells.
Specifications (Table):
Parameter | Specification |
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MS Type | Ultra-Sensitive TIMS-QTOF |
Sensitivity | Optimized for single-cell proteomics (low picogram detection) |
Resolution | >60,000 FWHM |
Mass Accuracy | <1 ppm (internal calibration) |
Acquisition Speed | >100 Hz (with PASEF) |
Mass Range | m/z 20 – 20,000 |
Ion Mobility | TIMS separation (4D proteomics) |
Sample Input | Compatible with nanoLC for ultra-low injection amounts |
Software | Bruker ProteoScape, MaxQuant, PEAKS, Compass HyStar |
Footprint | Benchtop system |
Key Advantage | Specifically designed for single-cell and ultra-trace proteomics |