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HybridSPE®-Plus Plates

MerckAvailable: Worldwide

Our HybridSPE ® -PLus plates effectively remove phospholipids and proteins from biological matrices in a simple pass-through method for accurate and reproducible LC-MS analysis. Unlike other phospholipid removal SPE products on the market, the unique retention mechanism of HybridSPE ® allows for separation of even very hydrophobic analytes from phospholipid contaminants.     

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HybridSPE®-Phospholipid (HybridSPE®-PL) technology combines the simplicity of protein precipitation with the selectivity of solid phase extraction (SPE) for the targeted removal of phospholipids in biological plasma/ serum. The technology utilizes a zirconia coated particle, and exhibits selective affinity towards phospholipids while remaining non-selective towards a range of basic, acidic and neutral compounds. The phospholipid retention mechanism is based on a selective Lewis acid-base interaction between the proprietary zirconia ions (functionally bonded to the HybridSPE® stationary phase) and the phosphate moiety present in all phospholipids.

Features and benefits:

  • Merges both protein precipitation and SPE
  • Offers the simplicity of protein precipitation
  • Selectively removes phospholipids via Lewis acid-base interactions
  • 2-3 step generic procedure
  • Typically >98% removal of phospholipids and precipitated proteins
  • Minimal to no method development required: 96-well or individual cartridge format
  • Unique chemistry that can effectively separate hydrophobic analytes (such as vitamins) from phospholipids, unlike competitive product chemistries
  • Elimination of proteins and phospholipid-induced ion suppression
  • Simultaneous removal of proteins and phospholipids
  • Simple, standardized methodology, analogous to traditional protein precipitation
  • Alternative to complex traditional SPE method development
  • Reproducible, consistent performance reduces need for reprocessing
  • Less instrument downtime and longer column life
  • Decreased run times by eliminating the need for gradients to clean columns between samples
  • High throughput processing that is automatable and compatible with common robotic systems
  • Ready-to-use, no preconditioning required

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