化驗
>95% (HPLC)
形狀
solid or viscous liquid
反應適用性
reaction type: Pegylations
聚合物結構
shape: linear
functionality: monofunctional
運輸包裝
ambient
儲存溫度
−20°C
特點和優勢
m-dPEG24-DSPE is the lipid 1,2-Distearoyl-sn-glycero-3-phosphoethanolamine (DSPE) modified with a methoxy-terminated, single molecular weight, discrete polyethylene glycol (dPEG). This product is designed to protect liposomes and micelles from opsonization and elimination by the reticuloendothelial system (RES). The hydrophilic head is 74 atoms (86.2 Å) long and has a molecular weight of approximately 1100 Daltons. The dPEG24 is a monodisperse equivalent of the polymeric PEG1000.
法律資訊
Products Protected under U.S. Patent #s 7,888,536 & 8,637,711 and European Patent #s 1,594,440 & 2,750,681
dPEG is a registered trademark of Quanta BioDesign
儲存類別代碼
11 - Combustible Solids
水污染物質分類(WGK)
WGK 3
閃點(°F)
Not applicable
閃點(°C)
Not applicable
分析證明 (COA)
輸入產品批次/批號來搜索 分析證明 (COA)。在產品’s標籤上找到批次和批號,寫有 ‘Lot’或‘Batch’.。
Trends in biotechnology, 32(1), 32-45 (2013-11-12)
Nanomedicine, particularly liposomal drug delivery, has expanded considerably over the past few decades, and several liposomal drugs are already providing improved clinical outcomes. Liposomes have now progressed beyond simple, inert drug carriers and can be designed to be highly responsive
ACS nano, 7(4), 2935-2947 (2013-02-21)
PEGylated liposomes are attractive pharmaceutical nanocarriers; however, literature reports of ligand-targeted nanoparticles have not consistently shown successful results. Here, we employed a multifaceted synthetic strategy to prepare peptide-targeted liposomal nanoparticles with high purity, reproducibility, and precisely controlled stoichiometry of functionalities
ACS nano, 7(9), 8115-8127 (2013-09-06)
Ligand-targeted nanoparticles are emerging drug delivery vehicles for cancer therapy. Here, we demonstrate that the cellular uptake of peptide-targeted liposomes and micelles can be significantly enhanced by increasing the hydrophilicity of the targeting peptide sequence while simultaneously optimizing the EG
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