China Factory Octadecanol CAS 112-92-5 1-Octadecanol Stearyl Alcohol for Surfactant
1-Octadecanol
1. It can be used as an additive for oil-based fracturing fluid instead of hexadecanol. Stearyl alcohol can be used in the production of Pingjia, resin and synthetic rubber, color film couplers, etc.
2. Used as chromatographic reagent. It is also used as surfactant and lubricant and for organic synthesis.
3. It can also be used as raw materials for manufacturing defoamer, flotation agent, softener, rice field heat preservation agent, water surface covering agent.
Product Name: 1-Octadecanol
CAS: 112-92-5
MF: C18H38O
MW: 270.49
EINECS: 204-017-6
Stearyl alcohol is white flakes or granules.Stearyl alcohol can also be called 1-Octadecanol and Octadecanol .The Melting point is 59.4-59.8ºC
Used in the manufacture of surfactants
1-Octadecanol Chemical Properties
Melting point: 56-59 °C (lit.)
Boiling point: 210 °C15 mm Hg
density: 0.812 g/mL at 25 °C (lit.)
vapor density: 9.3 (vs air)
vapor pressure: <0.01 mm Hg ( 38 °C)
refractive index: 1.4356 (estimate)
Fp: 185°C
storage temp.: 2-8°C
pka: 15.20±0.10(Predicted)
form: Flakes
color: White
Specific Gravity: 0.812
explosive limit: ~8%
Water Solubility: insoluble
Workshop & Laboratory
FAQ
Q1: How can I get the new price of a product?
A: Please provide the exact or approximate quantity, packing details, destination port or special requirements, then we could give you the price accordingly.
Q2: How can I get a sample?
A: We can provide free samples for your test.
Q3: How do you garantee the quality?
A: First of all, our quality control will reduce the quality problem to near zero. When the production is finished, they'll take samples from every batch of cargo, and send to our lab for inspection. After passed the inspection, then we will arrange the delivery.
Q4: How about your after-sale service ?
A: If any technical or quality problem after you receive the cargo, you can contact us any time. If the problem caused by us, we will send you free goods for replacement or refund your loss.
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