Phe-Phe

98%

  • Product Code: 96212
  Alias:    Diphenylalanine, phenylalanine-phenylalanine
  CAS:    2577-40-4
Molecular Weight: 312.36 (anhydrous basis) g./mol Molecular Formula: C₁₈H₂₀N₂O₃H₂O
EC Number: 219-930-5 MDL Number: MFCD00063154
Melting Point: Boiling Point:
Density: Storage Condition: -20°C
Product Description: Phe-Phe, a dipeptide composed of two phenylalanine molecules, has gained attention in various fields due to its unique properties. In materials science, it is known for its ability to self-assemble into nanostructures, making it useful in the development of biocompatible materials and drug delivery systems. Its self-assembling properties are also explored in the creation of hydrogels, which have potential applications in tissue engineering and wound healing. In biochemistry, Phe-Phe serves as a model for studying peptide interactions and aggregation, which is relevant in understanding diseases like Alzheimer's. Additionally, it is used in research to investigate enzyme kinetics and peptide-based inhibitors. Its simplicity and stability make it a valuable tool in both scientific research and practical applications.
Product Specification:
Test Specification
APPEARANCE white powder
PURITY 97.5-100
Infrared spectrum Conforms to Structure
NMR Conforms to Structure
Sizes / Availability / Pricing:
Size (g) Availability Price Quantity
1.000 10-20 days ฿1,420.00
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-
5.000 10-20 days ฿5,340.00
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-
25.000 10-20 days ฿19,800.00
+
-
100.000 10-20 days ฿64,400.00
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Phe-Phe
Phe-Phe, a dipeptide composed of two phenylalanine molecules, has gained attention in various fields due to its unique properties. In materials science, it is known for its ability to self-assemble into nanostructures, making it useful in the development of biocompatible materials and drug delivery systems. Its self-assembling properties are also explored in the creation of hydrogels, which have potential applications in tissue engineering and wound healing. In biochemistry, Phe-Phe serves as a model for studying peptide interactions and aggregation, which is relevant in understanding diseases like Alzheimer's. Additionally, it is used in research to investigate enzyme kinetics and peptide-based inhibitors. Its simplicity and stability make it a valuable tool in both scientific research and practical applications.
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