推薦產品
等級
analytical standard
品質等級
形狀
aqueous suspension
particles
濃度
10% (solids)
粒徑
8 μm std dev <0.15 μm, coeff var <2%
格式
neat
尋找類似的產品? 前往 產品比較指南
一般說明
Melamine resin-based microparticles (size: 8 μm) are a size standard, ideal for determining the particle size distribution (PSD) profile of test samples.
The product contains hydrophilic surfaces with high degree of cross linking and high pressure resistance. Lyophilization and resuspension in aqueous media does not damage the product (powders are available on request).
The product contains hydrophilic surfaces with high degree of cross linking and high pressure resistance. Lyophilization and resuspension in aqueous media does not damage the product (powders are available on request).
應用
Used for equipment particle size calibration.
Also used to identify melamine resin microparticles in seawater samples.
Also used to identify melamine resin microparticles in seawater samples.
特點和優勢
- suitable for routine instrument calibration checks and corrections
- stable to repeated freeze-thaw cycles
- available in 5 mL pack size as a neat sample
分析報告
For every lot, exact values of particle size and standard deviation are determined with an accuracy of 0.01 μm using a Coulter Multisizer.
Density: 1.51 g/cm3
Heat resistance <300 °C
Chemical resistance: acids, bases, organic solvents
Monodisperse melamin resin particles are characterized by high uniformity and narrow size distribution. They carry functional methylol groups, which can be used for covalent coupling of biological active compounds.
Density: 1.51 g/cm3
Heat resistance <300 °C
Chemical resistance: acids, bases, organic solvents
Monodisperse melamin resin particles are characterized by high uniformity and narrow size distribution. They carry functional methylol groups, which can be used for covalent coupling of biological active compounds.
儲存類別代碼
10 - Combustible liquids
水污染物質分類(WGK)
WGK 3
閃點(°F)
Not applicable
閃點(°C)
Not applicable
個人防護裝備
Eyeshields, Gloves
Particle and salinity sensing for the marine environment via deep learning using a Raspberry Pi
Environmental research communications , 1(3), 035001-035001 (2019)
我們的科學家團隊在所有研究領域都有豐富的經驗,包括生命科學、材料科學、化學合成、色譜、分析等.
聯絡技術服務